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______________________________________________________
AN ABSTRACT OF THE THESIS OF
Danielle V Nelson for the degree of Master of Science in Forest Ecosystems and Society
presented on December 7 2015
Title The Effects of Road Noise on Pacific Chorus Frog Communication
Abstract approved
Tiffany S Garcia
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
copyCopyright by Danielle V Nelson
December 7 2015
All Rights Reserved
THE EFFECTS OF ROAD NOISE ON PACIFIC CHORUS FROG
COMMUNICATION
by
Danielle V Nelson
A THESIS
submitted to
Oregon State University
in partial fulfillment of
the requirements for the
degree of
Master of Science
Presented December 7 2015
Commencement June 2016
Master of Science thesis of Danielle V Nelson presented on December 7 2015
APPROVED
Major Professor representing Forest Ecosystems and Society
Head of the Department of Forest Ecosystems and Society
Dean of the Graduate School
I understand that my thesis will become part of the permanent collection of Oregon State
University libraries My signature below authorizes release of my thesis to any reader
upon request
`
Danielle V Nelson Author
ACKNOWLEDGEMENTS
I would like to express my gratitude first to the amazing community of students
faculty and staff in both Forest Ecosystems and Society and Fisheries and Wildlife for
their continued support and encouragement The Department of Fisheries and Wildlife
the Department of Forest Ecosystems and Society the College of Forestry and the OSU
Graduate School have provided generous financial support through fellowships research
assistantships teaching assistantships and grants I would especially like to thank Lisa
Ganio for her help with the statistical portion of this thesis I would also like to extend my
gratitude to the American Museum of Natural History for financial support
Thank you to George Mueller-Warrant for his initial help in site selection and GIS
work Additional thanks to Molly Monroe at Willamette Valley National Wildlife Refuge
Complex Kyle Martin at E E Wilson Wildlife Refuge Benton County Department of
Parks and Recreation Albany Public Works Tom Malpass Brian Glaser and Jesse
Farver for all their land access help
Gratitude for the initial inspiration for this project falls entirely on Dr Allison
Sacerdote-Velat of the Lincoln Park Zoo in Chicago Without her course in herpetology
her enthusiasm for frogs and her willingness to think outside the box I never would have
considered developing this project further I thank her profusely for her inspiration and
her continuing friendship and look forward to collaboration with her in the future
Many many thanks to Dr Matthew Betts and Dr Sarah J K Frey of Forest
Ecosystems and Society and Dr Peter Wrege of Cornellrsquos Bioacoustics Research Project
for loans of Songmeters for my field seasons
I benefitted immensely from the support of my committee Thank you to Dr
Anita Morzillo of the University of Connecticut for her work in getting me to OSU and
starting me on this path Dr Brenda McComb of OSU Graduate School was invaluable in
her intellectual administrative and personal support I have so much gratitude for her
stepping up every time I needed her to And to Dr Holger Klinck of OSU FW and
Cornell Lab of Ornithologyrsquos BRP a hefeweizen of thanks for all his guidance for
pushing me when I needed it (and sometimes when I didnrsquot) his support and his
formidable acoustic knowledge
My intrepid undergraduate field team made this project possible Thank you to
my two team leaders Codey L Mathis and Ian Lively as well as my students Alexander
Carbaugh-Rutland Elle Bierman Aria Miles and Kurt Tibbals Without them this
project would have been so much more difficult and I am grateful to them for their
willingness to stand in cold ponds in waders late at night hike through snow and carry
equipment I apologize for inflicting my podcasts and weird tastes in music on you
Without the intellectual and emotional support of the OSU Research Collective
for Applied Acoustics (ORCAA) and the Garcia Lab this project would have been a
much more difficult journey I am immensely grateful for their friendship and many
many pep talks Thank you especially to Evan Bredeweg and Jenny Urbina who always
made themselves available for fieldwork to Samara Haver for her willingness to venture
into the terrestrial realm for a night and to Lindsey Thurman and Michelle Fournet for
many many things
A huge thank you to my advisor Dr Tiffany Garcia for taking me on when I
needed a mentor She gave me the opportunity to present to her lab and I never left and
the community she fosters has been the most worthwhile part of graduate school She is a
motivator a mentor a friend and an inspiration and I am excited to continue working
with her
My parents have always been incredibly supportive of whatever pursuit Irsquove set
my mind to and I am extremely grateful to them for everything they have done for me I
love you both very much There are not enough words to express my gratitude and love
to Kevin White who has kept me grounded sane and immensely loved during this
journey and has been a great reminder of the importance of work-life balance
To all my family and friends words do not do justice to your love and support
but I will say it anyway thank you
CONTRIBUTION OF AUTHORS
Tiffany S Garcia contributed to study design in Chapter 2 and assisted in editing all
aspects of the thesis Holger Klinck contributed to study design and acoustic analyses in
Chapter 2 Alexander Carbaugh-Rutland and Codey L Mathis contributed to study
implementation and data analysis in Chapter 2 Anita Morzillo contributed to funding
acquisition and study design in Chapter 2
TABLE OF CONTENTS
Page
CHAPTER 1 - General introduction1
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication 8
ABSTRACT9
INTRODUCTION 10
METHODS 13
Field methods13
Data processing and analysis 15
Statistical analysis 17
Active communication space-time model17
RESULTS 18
Ambient noise levels18
Call structure 18
Active communication space-time19
DISCUSSION19
TABLES 25
CHAPTER 3 ndash Conclusions 35
LITERATURE CITED 39
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora 44
ABSTRACT45
INTRODUCTION 46
METHODS 47
Data collection 47
Data analysis 48
RESULTS 48
DISCUSSION49
ACKNOWLEDGEMENTS50
LITERATURE CITED 52
LIST OF FIGURES Figure Page
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson Frazier Year 2 all but Talking Water Gardens29
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road noise in overlapping bandwidth of frog call 30
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633 p lt 0005)31
Figure 4 confidence intervals of slope estimates for each parameter of interest 32
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate against noise level at each temperature (color-coded) 33
Figure 6 model of communication space-time for each site represented by the circles and their size as a factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in calls per minute34
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour period Blue line indicates temperature in degrees C54
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C 55
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls (lower panel) 56
LIST OF TABLES Table Page
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place) 25
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all recording sessions 26
Table 3 model statistics for call rate frequency duration and source level27
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate 28
DEDICATION
To two brilliant amazing women I lost when I was just starting my graduate school
career Courtney Wilson gone too soon and Phyllis Parizek my indomitable
grandmother I hope I have done you both justice
1
CHAPTER 1 - General introduction
SOUNDSCAPES
Soundscapes are defined as the collection of biological abiotic and
anthropogenic sounds that are an integral part of a landscape that change
spatiotemporally to reflect ecosystem processes (Pijanowski Farina et al 2011) Natural
soundscapes are generally a good indicator of ecosystem health (Sueur et al 2014)
provide information to organisms within them (Pijanowski Villanueva-Rivera et al
2011) and have cultural significance (Dumyahn and Pijanowski 2011a) Soundscape
ecology draws parallels to landscape ecology and biogeography and focuses on the
spatiotemporal patterns of sound at multiple scales the interactions of the three
components of a soundscape and soundscape monitoring and conservation (Pijanowski
Farina et al 2011) Comprehensive assessment of soundscapes should include input from
multiple other fields including spatial ecology psychoacoustics (human cognition and
perception of sound) acoustic ecology (classification and aesthetic value of ambient
sounds) and bioacoustics (Pijanowski Farina et al 2011)
ANIMAL ACOUSTIC COMMUNICATION
Bioacoustics is the study of animal acoustic communication and all that it entails
sound production and perception morphology evolution of sound production and
hearing and heterospecific interactions (Bradbury and Vehrencamp 2011) Soundscapes
can provide information across the entire community of organisms Intraspecific acoustic
communication is used by wildlife for many purposes for example alarm calls (Ridley et
al 2007) social interaction (Awbrey 1978) and attracting mates (Gerhardt and Huber
2002) It is used across a wide array of taxa including invertebrates and many classes of
vertebrates (Bradbury and Vehrencamp 2011) Additionally bioacoustics encompasses
inter-specific eavesdropping on other species communication (Ridley et al 2014) and
predator-prey interactions (Holderied et al 2011)
2
ANTHROPOGENIC NOISE IMPACTS
When a soundscape is altered in a way where anthropogenic noise overpowers
abiotic and biotic sounds information is lost Anthropogenic noise is generally
characterized as being low-frequency but broadband its energy is spread over a wide
range that overlaps with many of the frequencies used by species to communicate
acoustically (Barber et al 2010) The main sources of anthropogenic noise come from
transportation motor vehicles on roads airplanes and in the marine realm ships
(McGregor et al 2013) It can be either acute (like sirens from emergency vehicles) or
chronic (air traffic vehicle traffic) Due to widespread human encroachment through
roads and air traffic flyover chronic anthropogenic noise has been shown to be audible
even in places where humans are not frequently found and to be fairly consistent
temporally (Barber et al 2011)
At an individual level chronic anthropogenic noise can cause physiological
reactions that can have a direct impact on fitness and reproductive success These can
include hypertension stress and hearing loss (Barber et al 2010) Humans are not
exempt from this studies of children exposed to high levels of chronic anthropogenic
noise even levels below those found to cause hearing loss show elevated levels of stress
hormones and depressed quality-of-life indicators (Evans et al 1998) Responses in
wildlife are similar stress hormone levels are generally elevated in most taxa in chronic
high-noise environments (Barber et al 2010) In many species elevated stress hormone
levels can affect the fitness of individuals (Creel et al 2013) therefore noise can lead to
fitness impacts on individuals even before addressing the implications of reduced
conspecific communication Additionally there are many taxa that use vocalizations and
acoustic cues to forage or to escape from predation Bats have been shown to have
reduced foraging success near noisy roads due to an inability to hear the rustling sounds
of their prey which has direct impacts on their fitness (Siemers and A Schaub 2011)
At the population and community level the more insidious impact of
anthropogenic noise in an ecosystem is that of masking or the loss of communicated
information due to the interference of background noise Masking can impact the ability
of conspecifics to communicate information with each other which can have implications
for mating success group cohesion and other important social processes While many of
3
these implications have not been tested directly studies have shown in many taxa such as
marine mammals (Hatch et al 2012) birds (Slabbekoorn and Peet 2003) bats (Hage et
al 2013) and anurans (Wollerman and Wiley 2002) that communication is hindered by
high levels of anthropogenic noise With a reduction in the ability to perform such vital
tasks as attracting a mate through acoustic vocalization (Gerhardt and Huber 2002) there
may be population-level implications of increased anthropogenic noise species especially
in already-threatened species Animals can modify their vocalizations to counteract the
effects of masking with mixed effects Often these modifications can be energetically
costly (Barber et al 2010 Zollinger and Brumm 2011) It is unclear what trade-offs are
induced by this increased energetic cost but these may also provide additional pressure
on already stressed populations
Anthropogenic noise can also have community-level impacts that can shift the
species distributions and interactions within an ecosystem This can be in part due to the
population-level effects mentioned above however interactions such as
eavesdropping or the cueing in on information by an individual other than the intended
receiver (Ridley et al 2014) Goodale et al (2010) suggest that the sharing of
heterospecific information is one of the primary drivers in the formation and maintenance
of temporary or stable mixed-species groups and it may also help with habitat selection
in species These groups provide benefits to their members mixed-species groups may
provide different ways of perceiving information than single-species groups while
removing some of the competition pressure found in single-species groups For example
Ridley et al (2014) found that a species of bird (scimitarbills) would shift from foraging
in trees to ground foraging in the presence of another species of bird (pied babblers) that
produced alarm calls thereby changing the foraging pressure on ground vegetation and
invertebrates depending on the alarm call species There is also the theory of the
heterospecific attraction hypothesis which describes a situation where individuals choose
habitat patches based on the presence of resident heterospecific individuals (Moumlnkkoumlnen
et al 1999) This has been primarily studied in birds and has been proposed as a
mechanism allowing migrant birds to select high-quality habitat based on the presence of
residents who would necessarily have more time to assess habitat quality (Moumlnkkoumlnen et
al 1997) Song may be a far-reaching cue of resident presence which will affect the
4
development of a migratory bird community that depends on the presence of residents
Anthropogenic noise has the potential to mask any of this information exchange which
may alter community interactions
FROG COMMUNICATION
The impacts of anthropogenic noise are still widely unstudied in many taxa and
since different species have very different responses to noise it is important to quantify
these impacts in order to better understand how to conserve soundscapes and vocalizing
species Among these understudied taxa are the anurans or frogs and toads Of the class
Amphibia only anurans are known to vocalize (Gerhardt and Huber 2002) Vocalization
in this order is used primarily for breeding Males will produce calls that are used to
attract females to breeding ponds (Narins 2007) Additionally other calls are used to
mediate male-male interactions (Brenowitz and Rose 1994) release calls used by both
males and females in breeding situations (Sullivan and Wagner 1988) and territorial calls
(D Schaub and Larsen 1978) Vocalizations are often highly stereotyped and are innate
rather than learned (Narins 2007)
While frog vocalizations have been studied for many years (Gerhardt and Huber
2002) the impacts of noise on their communication are still relatively unclear While
some studies have been done (Lengagne 2008 Kaiser and Hammers 2009 Cunnington
and Fahrig 2012) the population and community level effects of anthropogenic noise on
anurans are unclear Given that many anurans vocalize in single- or multi-species
choruses there is the potential for dramatic shifts in energy expenditure population
structure and community dynamics if anuran vocalization is impacted by anthropogenic
noise
Amphibians (including anurans) are ectothermic their energy expenditures are at
least partially governed by the external temperature of their surroundings (Whitford
1973) In general lower external temperatures are associated with lower activity levels in
this class (Bennett 1978) This extends to vocalization as well which can be related to
temperature constraints (Wells et al 1996) While this is mediated by social context in
some species (Wong et al 2004) it is unclear how social context and temperature interact
across the order to influence aspects of call structure such as call rate Additionally given
5
the diverse evolutionary and developmental histories of amphibians the wide range of
habitat types in which they are found and the considerable vocal diversity displayed by
anurans generalization of conclusions from one species across others is unlikely to be
reasonable (Narins 2007) Instead a species-by-species approach is likely the best way to
determine vocal behavioral norms
Vocal production
The mechanism for production of calls in anurans involves passive vibration of
vocal membranes in the larynx through movement of air from the lungs into the mouth
and vocal sac which acts as a resonant structure used to amplify the call focus the
energy into the second harmonic and cause the signal to be omnidirectional (Gridi-Papp
2014) Dominant frequency is tied to body size in many species of frog and there is some
evidence of frequency plasticity in some species of frog in response to modified
conspecific vocalization (Lopez et al 1988) however it is unclear how universal this is
given the diversity of vocal anuran species and the differing rates of evolution of anuran
vocalization among species (Cocroft and Ryan 1995) As the vocal mechanism is passive
this frequency adjustment is likely achieved through manipulation of the pressures before
and after the larynx and is likely to be energetically costly to change (Gridi-Papp 2014)
Anurans will more readily change the temporal aspects (call rate call duration) of
their calls (Bee and Schwartz 2013) Often call rate and call duration are inversely related
(Bee and Schwartz 2013) so longer calls will be produced less often than shorter calls for
a given species Call rate will increase with increasing temperature as energy levels will
increase at higher temperatures (Wells et al 1996) Frogs will also cease calling after a
disturbance andor alter their timing of calling to take advantage of natural lulls in chorus
noise (Sun and Narins 2005 Velez and Bee 2011) Additionally call rate can be
increased with proximity of other frogs as calling individuals either attempt to attract the
frog (if it is female) or warn it away (if it is another male) (Allan 1973)
Hearing and perception
Hearing in many species of anuran (but not all) occurs when a sound vibrates the
external tympanic membrane located on the side of the head (Mason 2007) From there
vibrations of the tympanic membrane vibrate in turn the stapes which transmits sound
through the oval window to the inner ear The inner ear in amphibians is comprised of
6
two specialized mechanisms the amphibian papilla and the basilar papilla These two
structures are tuned to different frequency ranges the amphibian papilla specializes in
low-frequency sounds and the basilar papilla is more sensitive to higher frequency
ranges (Gerhardt and Bee 2007) Additionally the amphibian papilla frequency range can
be influenced by the external ambient temperature (Lewis and Narins 1999) Hearing in
anurans is thought to be related to the frequency range in which conspecific vocalization
occurs (Gerhardt and Huber 2002) although there are species which can perceive
frequencies outside of that range (Simmons and Moss 1985) However this cannot be
generalized across all species
Localization of conspecific calls in higher vertebrates is dependent on the
difference in arrival time between the two ears which in turn is dependent on the
frequency of the sound being small enough to not exceed the dimensions of the
perceiverrsquos head (Gerhardt and Bee 2007) In anurans this process is considerably more
difficult given the generally small binaural width The exact biophysical process by
which anurans are able to localize conspecific callers is unknown however it is
hypothesized that localization involves some method of pressure differentiation andor
extratympanic input ie the sound may come to the inner ear through multiple pathways
that bypass the tympanic membrane (Gerhardt and Huber 2002) More research is needed
to determine the exact biophysical method of localization in vocalizing anurans
PACIFIC CHORUS FROG LIFE HISTORY
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They range from British
Columbia to Baja California and as far east as Montana (Jones et al 2005) The species
can be found in most still-water aquatic habitats below 10000 feet in elevation (Leonard
1993) They are prolonged breeders and will vocalize in dense choruses from very early
spring or late winter until late spring in a diversity of still-water habitat types While
adults are terrestrial breeding and development of this species is aquatic
Beginning in late winter male Pacific chorus frogs will move from their non-
breeding habitat (usually wooded areas) to still-water breeding habitats Males will then
vocalize not only to establish temporary territories but also to attract females to the
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
LITERATURE CITED
Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
copyCopyright by Danielle V Nelson
December 7 2015
All Rights Reserved
THE EFFECTS OF ROAD NOISE ON PACIFIC CHORUS FROG
COMMUNICATION
by
Danielle V Nelson
A THESIS
submitted to
Oregon State University
in partial fulfillment of
the requirements for the
degree of
Master of Science
Presented December 7 2015
Commencement June 2016
Master of Science thesis of Danielle V Nelson presented on December 7 2015
APPROVED
Major Professor representing Forest Ecosystems and Society
Head of the Department of Forest Ecosystems and Society
Dean of the Graduate School
I understand that my thesis will become part of the permanent collection of Oregon State
University libraries My signature below authorizes release of my thesis to any reader
upon request
`
Danielle V Nelson Author
ACKNOWLEDGEMENTS
I would like to express my gratitude first to the amazing community of students
faculty and staff in both Forest Ecosystems and Society and Fisheries and Wildlife for
their continued support and encouragement The Department of Fisheries and Wildlife
the Department of Forest Ecosystems and Society the College of Forestry and the OSU
Graduate School have provided generous financial support through fellowships research
assistantships teaching assistantships and grants I would especially like to thank Lisa
Ganio for her help with the statistical portion of this thesis I would also like to extend my
gratitude to the American Museum of Natural History for financial support
Thank you to George Mueller-Warrant for his initial help in site selection and GIS
work Additional thanks to Molly Monroe at Willamette Valley National Wildlife Refuge
Complex Kyle Martin at E E Wilson Wildlife Refuge Benton County Department of
Parks and Recreation Albany Public Works Tom Malpass Brian Glaser and Jesse
Farver for all their land access help
Gratitude for the initial inspiration for this project falls entirely on Dr Allison
Sacerdote-Velat of the Lincoln Park Zoo in Chicago Without her course in herpetology
her enthusiasm for frogs and her willingness to think outside the box I never would have
considered developing this project further I thank her profusely for her inspiration and
her continuing friendship and look forward to collaboration with her in the future
Many many thanks to Dr Matthew Betts and Dr Sarah J K Frey of Forest
Ecosystems and Society and Dr Peter Wrege of Cornellrsquos Bioacoustics Research Project
for loans of Songmeters for my field seasons
I benefitted immensely from the support of my committee Thank you to Dr
Anita Morzillo of the University of Connecticut for her work in getting me to OSU and
starting me on this path Dr Brenda McComb of OSU Graduate School was invaluable in
her intellectual administrative and personal support I have so much gratitude for her
stepping up every time I needed her to And to Dr Holger Klinck of OSU FW and
Cornell Lab of Ornithologyrsquos BRP a hefeweizen of thanks for all his guidance for
pushing me when I needed it (and sometimes when I didnrsquot) his support and his
formidable acoustic knowledge
My intrepid undergraduate field team made this project possible Thank you to
my two team leaders Codey L Mathis and Ian Lively as well as my students Alexander
Carbaugh-Rutland Elle Bierman Aria Miles and Kurt Tibbals Without them this
project would have been so much more difficult and I am grateful to them for their
willingness to stand in cold ponds in waders late at night hike through snow and carry
equipment I apologize for inflicting my podcasts and weird tastes in music on you
Without the intellectual and emotional support of the OSU Research Collective
for Applied Acoustics (ORCAA) and the Garcia Lab this project would have been a
much more difficult journey I am immensely grateful for their friendship and many
many pep talks Thank you especially to Evan Bredeweg and Jenny Urbina who always
made themselves available for fieldwork to Samara Haver for her willingness to venture
into the terrestrial realm for a night and to Lindsey Thurman and Michelle Fournet for
many many things
A huge thank you to my advisor Dr Tiffany Garcia for taking me on when I
needed a mentor She gave me the opportunity to present to her lab and I never left and
the community she fosters has been the most worthwhile part of graduate school She is a
motivator a mentor a friend and an inspiration and I am excited to continue working
with her
My parents have always been incredibly supportive of whatever pursuit Irsquove set
my mind to and I am extremely grateful to them for everything they have done for me I
love you both very much There are not enough words to express my gratitude and love
to Kevin White who has kept me grounded sane and immensely loved during this
journey and has been a great reminder of the importance of work-life balance
To all my family and friends words do not do justice to your love and support
but I will say it anyway thank you
CONTRIBUTION OF AUTHORS
Tiffany S Garcia contributed to study design in Chapter 2 and assisted in editing all
aspects of the thesis Holger Klinck contributed to study design and acoustic analyses in
Chapter 2 Alexander Carbaugh-Rutland and Codey L Mathis contributed to study
implementation and data analysis in Chapter 2 Anita Morzillo contributed to funding
acquisition and study design in Chapter 2
TABLE OF CONTENTS
Page
CHAPTER 1 - General introduction1
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication 8
ABSTRACT9
INTRODUCTION 10
METHODS 13
Field methods13
Data processing and analysis 15
Statistical analysis 17
Active communication space-time model17
RESULTS 18
Ambient noise levels18
Call structure 18
Active communication space-time19
DISCUSSION19
TABLES 25
CHAPTER 3 ndash Conclusions 35
LITERATURE CITED 39
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora 44
ABSTRACT45
INTRODUCTION 46
METHODS 47
Data collection 47
Data analysis 48
RESULTS 48
DISCUSSION49
ACKNOWLEDGEMENTS50
LITERATURE CITED 52
LIST OF FIGURES Figure Page
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson Frazier Year 2 all but Talking Water Gardens29
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road noise in overlapping bandwidth of frog call 30
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633 p lt 0005)31
Figure 4 confidence intervals of slope estimates for each parameter of interest 32
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate against noise level at each temperature (color-coded) 33
Figure 6 model of communication space-time for each site represented by the circles and their size as a factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in calls per minute34
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour period Blue line indicates temperature in degrees C54
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C 55
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls (lower panel) 56
LIST OF TABLES Table Page
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place) 25
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all recording sessions 26
Table 3 model statistics for call rate frequency duration and source level27
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate 28
DEDICATION
To two brilliant amazing women I lost when I was just starting my graduate school
career Courtney Wilson gone too soon and Phyllis Parizek my indomitable
grandmother I hope I have done you both justice
1
CHAPTER 1 - General introduction
SOUNDSCAPES
Soundscapes are defined as the collection of biological abiotic and
anthropogenic sounds that are an integral part of a landscape that change
spatiotemporally to reflect ecosystem processes (Pijanowski Farina et al 2011) Natural
soundscapes are generally a good indicator of ecosystem health (Sueur et al 2014)
provide information to organisms within them (Pijanowski Villanueva-Rivera et al
2011) and have cultural significance (Dumyahn and Pijanowski 2011a) Soundscape
ecology draws parallels to landscape ecology and biogeography and focuses on the
spatiotemporal patterns of sound at multiple scales the interactions of the three
components of a soundscape and soundscape monitoring and conservation (Pijanowski
Farina et al 2011) Comprehensive assessment of soundscapes should include input from
multiple other fields including spatial ecology psychoacoustics (human cognition and
perception of sound) acoustic ecology (classification and aesthetic value of ambient
sounds) and bioacoustics (Pijanowski Farina et al 2011)
ANIMAL ACOUSTIC COMMUNICATION
Bioacoustics is the study of animal acoustic communication and all that it entails
sound production and perception morphology evolution of sound production and
hearing and heterospecific interactions (Bradbury and Vehrencamp 2011) Soundscapes
can provide information across the entire community of organisms Intraspecific acoustic
communication is used by wildlife for many purposes for example alarm calls (Ridley et
al 2007) social interaction (Awbrey 1978) and attracting mates (Gerhardt and Huber
2002) It is used across a wide array of taxa including invertebrates and many classes of
vertebrates (Bradbury and Vehrencamp 2011) Additionally bioacoustics encompasses
inter-specific eavesdropping on other species communication (Ridley et al 2014) and
predator-prey interactions (Holderied et al 2011)
2
ANTHROPOGENIC NOISE IMPACTS
When a soundscape is altered in a way where anthropogenic noise overpowers
abiotic and biotic sounds information is lost Anthropogenic noise is generally
characterized as being low-frequency but broadband its energy is spread over a wide
range that overlaps with many of the frequencies used by species to communicate
acoustically (Barber et al 2010) The main sources of anthropogenic noise come from
transportation motor vehicles on roads airplanes and in the marine realm ships
(McGregor et al 2013) It can be either acute (like sirens from emergency vehicles) or
chronic (air traffic vehicle traffic) Due to widespread human encroachment through
roads and air traffic flyover chronic anthropogenic noise has been shown to be audible
even in places where humans are not frequently found and to be fairly consistent
temporally (Barber et al 2011)
At an individual level chronic anthropogenic noise can cause physiological
reactions that can have a direct impact on fitness and reproductive success These can
include hypertension stress and hearing loss (Barber et al 2010) Humans are not
exempt from this studies of children exposed to high levels of chronic anthropogenic
noise even levels below those found to cause hearing loss show elevated levels of stress
hormones and depressed quality-of-life indicators (Evans et al 1998) Responses in
wildlife are similar stress hormone levels are generally elevated in most taxa in chronic
high-noise environments (Barber et al 2010) In many species elevated stress hormone
levels can affect the fitness of individuals (Creel et al 2013) therefore noise can lead to
fitness impacts on individuals even before addressing the implications of reduced
conspecific communication Additionally there are many taxa that use vocalizations and
acoustic cues to forage or to escape from predation Bats have been shown to have
reduced foraging success near noisy roads due to an inability to hear the rustling sounds
of their prey which has direct impacts on their fitness (Siemers and A Schaub 2011)
At the population and community level the more insidious impact of
anthropogenic noise in an ecosystem is that of masking or the loss of communicated
information due to the interference of background noise Masking can impact the ability
of conspecifics to communicate information with each other which can have implications
for mating success group cohesion and other important social processes While many of
3
these implications have not been tested directly studies have shown in many taxa such as
marine mammals (Hatch et al 2012) birds (Slabbekoorn and Peet 2003) bats (Hage et
al 2013) and anurans (Wollerman and Wiley 2002) that communication is hindered by
high levels of anthropogenic noise With a reduction in the ability to perform such vital
tasks as attracting a mate through acoustic vocalization (Gerhardt and Huber 2002) there
may be population-level implications of increased anthropogenic noise species especially
in already-threatened species Animals can modify their vocalizations to counteract the
effects of masking with mixed effects Often these modifications can be energetically
costly (Barber et al 2010 Zollinger and Brumm 2011) It is unclear what trade-offs are
induced by this increased energetic cost but these may also provide additional pressure
on already stressed populations
Anthropogenic noise can also have community-level impacts that can shift the
species distributions and interactions within an ecosystem This can be in part due to the
population-level effects mentioned above however interactions such as
eavesdropping or the cueing in on information by an individual other than the intended
receiver (Ridley et al 2014) Goodale et al (2010) suggest that the sharing of
heterospecific information is one of the primary drivers in the formation and maintenance
of temporary or stable mixed-species groups and it may also help with habitat selection
in species These groups provide benefits to their members mixed-species groups may
provide different ways of perceiving information than single-species groups while
removing some of the competition pressure found in single-species groups For example
Ridley et al (2014) found that a species of bird (scimitarbills) would shift from foraging
in trees to ground foraging in the presence of another species of bird (pied babblers) that
produced alarm calls thereby changing the foraging pressure on ground vegetation and
invertebrates depending on the alarm call species There is also the theory of the
heterospecific attraction hypothesis which describes a situation where individuals choose
habitat patches based on the presence of resident heterospecific individuals (Moumlnkkoumlnen
et al 1999) This has been primarily studied in birds and has been proposed as a
mechanism allowing migrant birds to select high-quality habitat based on the presence of
residents who would necessarily have more time to assess habitat quality (Moumlnkkoumlnen et
al 1997) Song may be a far-reaching cue of resident presence which will affect the
4
development of a migratory bird community that depends on the presence of residents
Anthropogenic noise has the potential to mask any of this information exchange which
may alter community interactions
FROG COMMUNICATION
The impacts of anthropogenic noise are still widely unstudied in many taxa and
since different species have very different responses to noise it is important to quantify
these impacts in order to better understand how to conserve soundscapes and vocalizing
species Among these understudied taxa are the anurans or frogs and toads Of the class
Amphibia only anurans are known to vocalize (Gerhardt and Huber 2002) Vocalization
in this order is used primarily for breeding Males will produce calls that are used to
attract females to breeding ponds (Narins 2007) Additionally other calls are used to
mediate male-male interactions (Brenowitz and Rose 1994) release calls used by both
males and females in breeding situations (Sullivan and Wagner 1988) and territorial calls
(D Schaub and Larsen 1978) Vocalizations are often highly stereotyped and are innate
rather than learned (Narins 2007)
While frog vocalizations have been studied for many years (Gerhardt and Huber
2002) the impacts of noise on their communication are still relatively unclear While
some studies have been done (Lengagne 2008 Kaiser and Hammers 2009 Cunnington
and Fahrig 2012) the population and community level effects of anthropogenic noise on
anurans are unclear Given that many anurans vocalize in single- or multi-species
choruses there is the potential for dramatic shifts in energy expenditure population
structure and community dynamics if anuran vocalization is impacted by anthropogenic
noise
Amphibians (including anurans) are ectothermic their energy expenditures are at
least partially governed by the external temperature of their surroundings (Whitford
1973) In general lower external temperatures are associated with lower activity levels in
this class (Bennett 1978) This extends to vocalization as well which can be related to
temperature constraints (Wells et al 1996) While this is mediated by social context in
some species (Wong et al 2004) it is unclear how social context and temperature interact
across the order to influence aspects of call structure such as call rate Additionally given
5
the diverse evolutionary and developmental histories of amphibians the wide range of
habitat types in which they are found and the considerable vocal diversity displayed by
anurans generalization of conclusions from one species across others is unlikely to be
reasonable (Narins 2007) Instead a species-by-species approach is likely the best way to
determine vocal behavioral norms
Vocal production
The mechanism for production of calls in anurans involves passive vibration of
vocal membranes in the larynx through movement of air from the lungs into the mouth
and vocal sac which acts as a resonant structure used to amplify the call focus the
energy into the second harmonic and cause the signal to be omnidirectional (Gridi-Papp
2014) Dominant frequency is tied to body size in many species of frog and there is some
evidence of frequency plasticity in some species of frog in response to modified
conspecific vocalization (Lopez et al 1988) however it is unclear how universal this is
given the diversity of vocal anuran species and the differing rates of evolution of anuran
vocalization among species (Cocroft and Ryan 1995) As the vocal mechanism is passive
this frequency adjustment is likely achieved through manipulation of the pressures before
and after the larynx and is likely to be energetically costly to change (Gridi-Papp 2014)
Anurans will more readily change the temporal aspects (call rate call duration) of
their calls (Bee and Schwartz 2013) Often call rate and call duration are inversely related
(Bee and Schwartz 2013) so longer calls will be produced less often than shorter calls for
a given species Call rate will increase with increasing temperature as energy levels will
increase at higher temperatures (Wells et al 1996) Frogs will also cease calling after a
disturbance andor alter their timing of calling to take advantage of natural lulls in chorus
noise (Sun and Narins 2005 Velez and Bee 2011) Additionally call rate can be
increased with proximity of other frogs as calling individuals either attempt to attract the
frog (if it is female) or warn it away (if it is another male) (Allan 1973)
Hearing and perception
Hearing in many species of anuran (but not all) occurs when a sound vibrates the
external tympanic membrane located on the side of the head (Mason 2007) From there
vibrations of the tympanic membrane vibrate in turn the stapes which transmits sound
through the oval window to the inner ear The inner ear in amphibians is comprised of
6
two specialized mechanisms the amphibian papilla and the basilar papilla These two
structures are tuned to different frequency ranges the amphibian papilla specializes in
low-frequency sounds and the basilar papilla is more sensitive to higher frequency
ranges (Gerhardt and Bee 2007) Additionally the amphibian papilla frequency range can
be influenced by the external ambient temperature (Lewis and Narins 1999) Hearing in
anurans is thought to be related to the frequency range in which conspecific vocalization
occurs (Gerhardt and Huber 2002) although there are species which can perceive
frequencies outside of that range (Simmons and Moss 1985) However this cannot be
generalized across all species
Localization of conspecific calls in higher vertebrates is dependent on the
difference in arrival time between the two ears which in turn is dependent on the
frequency of the sound being small enough to not exceed the dimensions of the
perceiverrsquos head (Gerhardt and Bee 2007) In anurans this process is considerably more
difficult given the generally small binaural width The exact biophysical process by
which anurans are able to localize conspecific callers is unknown however it is
hypothesized that localization involves some method of pressure differentiation andor
extratympanic input ie the sound may come to the inner ear through multiple pathways
that bypass the tympanic membrane (Gerhardt and Huber 2002) More research is needed
to determine the exact biophysical method of localization in vocalizing anurans
PACIFIC CHORUS FROG LIFE HISTORY
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They range from British
Columbia to Baja California and as far east as Montana (Jones et al 2005) The species
can be found in most still-water aquatic habitats below 10000 feet in elevation (Leonard
1993) They are prolonged breeders and will vocalize in dense choruses from very early
spring or late winter until late spring in a diversity of still-water habitat types While
adults are terrestrial breeding and development of this species is aquatic
Beginning in late winter male Pacific chorus frogs will move from their non-
breeding habitat (usually wooded areas) to still-water breeding habitats Males will then
vocalize not only to establish temporary territories but also to attract females to the
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
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Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
copyCopyright by Danielle V Nelson
December 7 2015
All Rights Reserved
THE EFFECTS OF ROAD NOISE ON PACIFIC CHORUS FROG
COMMUNICATION
by
Danielle V Nelson
A THESIS
submitted to
Oregon State University
in partial fulfillment of
the requirements for the
degree of
Master of Science
Presented December 7 2015
Commencement June 2016
Master of Science thesis of Danielle V Nelson presented on December 7 2015
APPROVED
Major Professor representing Forest Ecosystems and Society
Head of the Department of Forest Ecosystems and Society
Dean of the Graduate School
I understand that my thesis will become part of the permanent collection of Oregon State
University libraries My signature below authorizes release of my thesis to any reader
upon request
`
Danielle V Nelson Author
ACKNOWLEDGEMENTS
I would like to express my gratitude first to the amazing community of students
faculty and staff in both Forest Ecosystems and Society and Fisheries and Wildlife for
their continued support and encouragement The Department of Fisheries and Wildlife
the Department of Forest Ecosystems and Society the College of Forestry and the OSU
Graduate School have provided generous financial support through fellowships research
assistantships teaching assistantships and grants I would especially like to thank Lisa
Ganio for her help with the statistical portion of this thesis I would also like to extend my
gratitude to the American Museum of Natural History for financial support
Thank you to George Mueller-Warrant for his initial help in site selection and GIS
work Additional thanks to Molly Monroe at Willamette Valley National Wildlife Refuge
Complex Kyle Martin at E E Wilson Wildlife Refuge Benton County Department of
Parks and Recreation Albany Public Works Tom Malpass Brian Glaser and Jesse
Farver for all their land access help
Gratitude for the initial inspiration for this project falls entirely on Dr Allison
Sacerdote-Velat of the Lincoln Park Zoo in Chicago Without her course in herpetology
her enthusiasm for frogs and her willingness to think outside the box I never would have
considered developing this project further I thank her profusely for her inspiration and
her continuing friendship and look forward to collaboration with her in the future
Many many thanks to Dr Matthew Betts and Dr Sarah J K Frey of Forest
Ecosystems and Society and Dr Peter Wrege of Cornellrsquos Bioacoustics Research Project
for loans of Songmeters for my field seasons
I benefitted immensely from the support of my committee Thank you to Dr
Anita Morzillo of the University of Connecticut for her work in getting me to OSU and
starting me on this path Dr Brenda McComb of OSU Graduate School was invaluable in
her intellectual administrative and personal support I have so much gratitude for her
stepping up every time I needed her to And to Dr Holger Klinck of OSU FW and
Cornell Lab of Ornithologyrsquos BRP a hefeweizen of thanks for all his guidance for
pushing me when I needed it (and sometimes when I didnrsquot) his support and his
formidable acoustic knowledge
My intrepid undergraduate field team made this project possible Thank you to
my two team leaders Codey L Mathis and Ian Lively as well as my students Alexander
Carbaugh-Rutland Elle Bierman Aria Miles and Kurt Tibbals Without them this
project would have been so much more difficult and I am grateful to them for their
willingness to stand in cold ponds in waders late at night hike through snow and carry
equipment I apologize for inflicting my podcasts and weird tastes in music on you
Without the intellectual and emotional support of the OSU Research Collective
for Applied Acoustics (ORCAA) and the Garcia Lab this project would have been a
much more difficult journey I am immensely grateful for their friendship and many
many pep talks Thank you especially to Evan Bredeweg and Jenny Urbina who always
made themselves available for fieldwork to Samara Haver for her willingness to venture
into the terrestrial realm for a night and to Lindsey Thurman and Michelle Fournet for
many many things
A huge thank you to my advisor Dr Tiffany Garcia for taking me on when I
needed a mentor She gave me the opportunity to present to her lab and I never left and
the community she fosters has been the most worthwhile part of graduate school She is a
motivator a mentor a friend and an inspiration and I am excited to continue working
with her
My parents have always been incredibly supportive of whatever pursuit Irsquove set
my mind to and I am extremely grateful to them for everything they have done for me I
love you both very much There are not enough words to express my gratitude and love
to Kevin White who has kept me grounded sane and immensely loved during this
journey and has been a great reminder of the importance of work-life balance
To all my family and friends words do not do justice to your love and support
but I will say it anyway thank you
CONTRIBUTION OF AUTHORS
Tiffany S Garcia contributed to study design in Chapter 2 and assisted in editing all
aspects of the thesis Holger Klinck contributed to study design and acoustic analyses in
Chapter 2 Alexander Carbaugh-Rutland and Codey L Mathis contributed to study
implementation and data analysis in Chapter 2 Anita Morzillo contributed to funding
acquisition and study design in Chapter 2
TABLE OF CONTENTS
Page
CHAPTER 1 - General introduction1
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication 8
ABSTRACT9
INTRODUCTION 10
METHODS 13
Field methods13
Data processing and analysis 15
Statistical analysis 17
Active communication space-time model17
RESULTS 18
Ambient noise levels18
Call structure 18
Active communication space-time19
DISCUSSION19
TABLES 25
CHAPTER 3 ndash Conclusions 35
LITERATURE CITED 39
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora 44
ABSTRACT45
INTRODUCTION 46
METHODS 47
Data collection 47
Data analysis 48
RESULTS 48
DISCUSSION49
ACKNOWLEDGEMENTS50
LITERATURE CITED 52
LIST OF FIGURES Figure Page
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson Frazier Year 2 all but Talking Water Gardens29
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road noise in overlapping bandwidth of frog call 30
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633 p lt 0005)31
Figure 4 confidence intervals of slope estimates for each parameter of interest 32
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate against noise level at each temperature (color-coded) 33
Figure 6 model of communication space-time for each site represented by the circles and their size as a factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in calls per minute34
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour period Blue line indicates temperature in degrees C54
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C 55
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls (lower panel) 56
LIST OF TABLES Table Page
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place) 25
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all recording sessions 26
Table 3 model statistics for call rate frequency duration and source level27
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate 28
DEDICATION
To two brilliant amazing women I lost when I was just starting my graduate school
career Courtney Wilson gone too soon and Phyllis Parizek my indomitable
grandmother I hope I have done you both justice
1
CHAPTER 1 - General introduction
SOUNDSCAPES
Soundscapes are defined as the collection of biological abiotic and
anthropogenic sounds that are an integral part of a landscape that change
spatiotemporally to reflect ecosystem processes (Pijanowski Farina et al 2011) Natural
soundscapes are generally a good indicator of ecosystem health (Sueur et al 2014)
provide information to organisms within them (Pijanowski Villanueva-Rivera et al
2011) and have cultural significance (Dumyahn and Pijanowski 2011a) Soundscape
ecology draws parallels to landscape ecology and biogeography and focuses on the
spatiotemporal patterns of sound at multiple scales the interactions of the three
components of a soundscape and soundscape monitoring and conservation (Pijanowski
Farina et al 2011) Comprehensive assessment of soundscapes should include input from
multiple other fields including spatial ecology psychoacoustics (human cognition and
perception of sound) acoustic ecology (classification and aesthetic value of ambient
sounds) and bioacoustics (Pijanowski Farina et al 2011)
ANIMAL ACOUSTIC COMMUNICATION
Bioacoustics is the study of animal acoustic communication and all that it entails
sound production and perception morphology evolution of sound production and
hearing and heterospecific interactions (Bradbury and Vehrencamp 2011) Soundscapes
can provide information across the entire community of organisms Intraspecific acoustic
communication is used by wildlife for many purposes for example alarm calls (Ridley et
al 2007) social interaction (Awbrey 1978) and attracting mates (Gerhardt and Huber
2002) It is used across a wide array of taxa including invertebrates and many classes of
vertebrates (Bradbury and Vehrencamp 2011) Additionally bioacoustics encompasses
inter-specific eavesdropping on other species communication (Ridley et al 2014) and
predator-prey interactions (Holderied et al 2011)
2
ANTHROPOGENIC NOISE IMPACTS
When a soundscape is altered in a way where anthropogenic noise overpowers
abiotic and biotic sounds information is lost Anthropogenic noise is generally
characterized as being low-frequency but broadband its energy is spread over a wide
range that overlaps with many of the frequencies used by species to communicate
acoustically (Barber et al 2010) The main sources of anthropogenic noise come from
transportation motor vehicles on roads airplanes and in the marine realm ships
(McGregor et al 2013) It can be either acute (like sirens from emergency vehicles) or
chronic (air traffic vehicle traffic) Due to widespread human encroachment through
roads and air traffic flyover chronic anthropogenic noise has been shown to be audible
even in places where humans are not frequently found and to be fairly consistent
temporally (Barber et al 2011)
At an individual level chronic anthropogenic noise can cause physiological
reactions that can have a direct impact on fitness and reproductive success These can
include hypertension stress and hearing loss (Barber et al 2010) Humans are not
exempt from this studies of children exposed to high levels of chronic anthropogenic
noise even levels below those found to cause hearing loss show elevated levels of stress
hormones and depressed quality-of-life indicators (Evans et al 1998) Responses in
wildlife are similar stress hormone levels are generally elevated in most taxa in chronic
high-noise environments (Barber et al 2010) In many species elevated stress hormone
levels can affect the fitness of individuals (Creel et al 2013) therefore noise can lead to
fitness impacts on individuals even before addressing the implications of reduced
conspecific communication Additionally there are many taxa that use vocalizations and
acoustic cues to forage or to escape from predation Bats have been shown to have
reduced foraging success near noisy roads due to an inability to hear the rustling sounds
of their prey which has direct impacts on their fitness (Siemers and A Schaub 2011)
At the population and community level the more insidious impact of
anthropogenic noise in an ecosystem is that of masking or the loss of communicated
information due to the interference of background noise Masking can impact the ability
of conspecifics to communicate information with each other which can have implications
for mating success group cohesion and other important social processes While many of
3
these implications have not been tested directly studies have shown in many taxa such as
marine mammals (Hatch et al 2012) birds (Slabbekoorn and Peet 2003) bats (Hage et
al 2013) and anurans (Wollerman and Wiley 2002) that communication is hindered by
high levels of anthropogenic noise With a reduction in the ability to perform such vital
tasks as attracting a mate through acoustic vocalization (Gerhardt and Huber 2002) there
may be population-level implications of increased anthropogenic noise species especially
in already-threatened species Animals can modify their vocalizations to counteract the
effects of masking with mixed effects Often these modifications can be energetically
costly (Barber et al 2010 Zollinger and Brumm 2011) It is unclear what trade-offs are
induced by this increased energetic cost but these may also provide additional pressure
on already stressed populations
Anthropogenic noise can also have community-level impacts that can shift the
species distributions and interactions within an ecosystem This can be in part due to the
population-level effects mentioned above however interactions such as
eavesdropping or the cueing in on information by an individual other than the intended
receiver (Ridley et al 2014) Goodale et al (2010) suggest that the sharing of
heterospecific information is one of the primary drivers in the formation and maintenance
of temporary or stable mixed-species groups and it may also help with habitat selection
in species These groups provide benefits to their members mixed-species groups may
provide different ways of perceiving information than single-species groups while
removing some of the competition pressure found in single-species groups For example
Ridley et al (2014) found that a species of bird (scimitarbills) would shift from foraging
in trees to ground foraging in the presence of another species of bird (pied babblers) that
produced alarm calls thereby changing the foraging pressure on ground vegetation and
invertebrates depending on the alarm call species There is also the theory of the
heterospecific attraction hypothesis which describes a situation where individuals choose
habitat patches based on the presence of resident heterospecific individuals (Moumlnkkoumlnen
et al 1999) This has been primarily studied in birds and has been proposed as a
mechanism allowing migrant birds to select high-quality habitat based on the presence of
residents who would necessarily have more time to assess habitat quality (Moumlnkkoumlnen et
al 1997) Song may be a far-reaching cue of resident presence which will affect the
4
development of a migratory bird community that depends on the presence of residents
Anthropogenic noise has the potential to mask any of this information exchange which
may alter community interactions
FROG COMMUNICATION
The impacts of anthropogenic noise are still widely unstudied in many taxa and
since different species have very different responses to noise it is important to quantify
these impacts in order to better understand how to conserve soundscapes and vocalizing
species Among these understudied taxa are the anurans or frogs and toads Of the class
Amphibia only anurans are known to vocalize (Gerhardt and Huber 2002) Vocalization
in this order is used primarily for breeding Males will produce calls that are used to
attract females to breeding ponds (Narins 2007) Additionally other calls are used to
mediate male-male interactions (Brenowitz and Rose 1994) release calls used by both
males and females in breeding situations (Sullivan and Wagner 1988) and territorial calls
(D Schaub and Larsen 1978) Vocalizations are often highly stereotyped and are innate
rather than learned (Narins 2007)
While frog vocalizations have been studied for many years (Gerhardt and Huber
2002) the impacts of noise on their communication are still relatively unclear While
some studies have been done (Lengagne 2008 Kaiser and Hammers 2009 Cunnington
and Fahrig 2012) the population and community level effects of anthropogenic noise on
anurans are unclear Given that many anurans vocalize in single- or multi-species
choruses there is the potential for dramatic shifts in energy expenditure population
structure and community dynamics if anuran vocalization is impacted by anthropogenic
noise
Amphibians (including anurans) are ectothermic their energy expenditures are at
least partially governed by the external temperature of their surroundings (Whitford
1973) In general lower external temperatures are associated with lower activity levels in
this class (Bennett 1978) This extends to vocalization as well which can be related to
temperature constraints (Wells et al 1996) While this is mediated by social context in
some species (Wong et al 2004) it is unclear how social context and temperature interact
across the order to influence aspects of call structure such as call rate Additionally given
5
the diverse evolutionary and developmental histories of amphibians the wide range of
habitat types in which they are found and the considerable vocal diversity displayed by
anurans generalization of conclusions from one species across others is unlikely to be
reasonable (Narins 2007) Instead a species-by-species approach is likely the best way to
determine vocal behavioral norms
Vocal production
The mechanism for production of calls in anurans involves passive vibration of
vocal membranes in the larynx through movement of air from the lungs into the mouth
and vocal sac which acts as a resonant structure used to amplify the call focus the
energy into the second harmonic and cause the signal to be omnidirectional (Gridi-Papp
2014) Dominant frequency is tied to body size in many species of frog and there is some
evidence of frequency plasticity in some species of frog in response to modified
conspecific vocalization (Lopez et al 1988) however it is unclear how universal this is
given the diversity of vocal anuran species and the differing rates of evolution of anuran
vocalization among species (Cocroft and Ryan 1995) As the vocal mechanism is passive
this frequency adjustment is likely achieved through manipulation of the pressures before
and after the larynx and is likely to be energetically costly to change (Gridi-Papp 2014)
Anurans will more readily change the temporal aspects (call rate call duration) of
their calls (Bee and Schwartz 2013) Often call rate and call duration are inversely related
(Bee and Schwartz 2013) so longer calls will be produced less often than shorter calls for
a given species Call rate will increase with increasing temperature as energy levels will
increase at higher temperatures (Wells et al 1996) Frogs will also cease calling after a
disturbance andor alter their timing of calling to take advantage of natural lulls in chorus
noise (Sun and Narins 2005 Velez and Bee 2011) Additionally call rate can be
increased with proximity of other frogs as calling individuals either attempt to attract the
frog (if it is female) or warn it away (if it is another male) (Allan 1973)
Hearing and perception
Hearing in many species of anuran (but not all) occurs when a sound vibrates the
external tympanic membrane located on the side of the head (Mason 2007) From there
vibrations of the tympanic membrane vibrate in turn the stapes which transmits sound
through the oval window to the inner ear The inner ear in amphibians is comprised of
6
two specialized mechanisms the amphibian papilla and the basilar papilla These two
structures are tuned to different frequency ranges the amphibian papilla specializes in
low-frequency sounds and the basilar papilla is more sensitive to higher frequency
ranges (Gerhardt and Bee 2007) Additionally the amphibian papilla frequency range can
be influenced by the external ambient temperature (Lewis and Narins 1999) Hearing in
anurans is thought to be related to the frequency range in which conspecific vocalization
occurs (Gerhardt and Huber 2002) although there are species which can perceive
frequencies outside of that range (Simmons and Moss 1985) However this cannot be
generalized across all species
Localization of conspecific calls in higher vertebrates is dependent on the
difference in arrival time between the two ears which in turn is dependent on the
frequency of the sound being small enough to not exceed the dimensions of the
perceiverrsquos head (Gerhardt and Bee 2007) In anurans this process is considerably more
difficult given the generally small binaural width The exact biophysical process by
which anurans are able to localize conspecific callers is unknown however it is
hypothesized that localization involves some method of pressure differentiation andor
extratympanic input ie the sound may come to the inner ear through multiple pathways
that bypass the tympanic membrane (Gerhardt and Huber 2002) More research is needed
to determine the exact biophysical method of localization in vocalizing anurans
PACIFIC CHORUS FROG LIFE HISTORY
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They range from British
Columbia to Baja California and as far east as Montana (Jones et al 2005) The species
can be found in most still-water aquatic habitats below 10000 feet in elevation (Leonard
1993) They are prolonged breeders and will vocalize in dense choruses from very early
spring or late winter until late spring in a diversity of still-water habitat types While
adults are terrestrial breeding and development of this species is aquatic
Beginning in late winter male Pacific chorus frogs will move from their non-
breeding habitat (usually wooded areas) to still-water breeding habitats Males will then
vocalize not only to establish temporary territories but also to attract females to the
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
LITERATURE CITED
Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
THE EFFECTS OF ROAD NOISE ON PACIFIC CHORUS FROG
COMMUNICATION
by
Danielle V Nelson
A THESIS
submitted to
Oregon State University
in partial fulfillment of
the requirements for the
degree of
Master of Science
Presented December 7 2015
Commencement June 2016
Master of Science thesis of Danielle V Nelson presented on December 7 2015
APPROVED
Major Professor representing Forest Ecosystems and Society
Head of the Department of Forest Ecosystems and Society
Dean of the Graduate School
I understand that my thesis will become part of the permanent collection of Oregon State
University libraries My signature below authorizes release of my thesis to any reader
upon request
`
Danielle V Nelson Author
ACKNOWLEDGEMENTS
I would like to express my gratitude first to the amazing community of students
faculty and staff in both Forest Ecosystems and Society and Fisheries and Wildlife for
their continued support and encouragement The Department of Fisheries and Wildlife
the Department of Forest Ecosystems and Society the College of Forestry and the OSU
Graduate School have provided generous financial support through fellowships research
assistantships teaching assistantships and grants I would especially like to thank Lisa
Ganio for her help with the statistical portion of this thesis I would also like to extend my
gratitude to the American Museum of Natural History for financial support
Thank you to George Mueller-Warrant for his initial help in site selection and GIS
work Additional thanks to Molly Monroe at Willamette Valley National Wildlife Refuge
Complex Kyle Martin at E E Wilson Wildlife Refuge Benton County Department of
Parks and Recreation Albany Public Works Tom Malpass Brian Glaser and Jesse
Farver for all their land access help
Gratitude for the initial inspiration for this project falls entirely on Dr Allison
Sacerdote-Velat of the Lincoln Park Zoo in Chicago Without her course in herpetology
her enthusiasm for frogs and her willingness to think outside the box I never would have
considered developing this project further I thank her profusely for her inspiration and
her continuing friendship and look forward to collaboration with her in the future
Many many thanks to Dr Matthew Betts and Dr Sarah J K Frey of Forest
Ecosystems and Society and Dr Peter Wrege of Cornellrsquos Bioacoustics Research Project
for loans of Songmeters for my field seasons
I benefitted immensely from the support of my committee Thank you to Dr
Anita Morzillo of the University of Connecticut for her work in getting me to OSU and
starting me on this path Dr Brenda McComb of OSU Graduate School was invaluable in
her intellectual administrative and personal support I have so much gratitude for her
stepping up every time I needed her to And to Dr Holger Klinck of OSU FW and
Cornell Lab of Ornithologyrsquos BRP a hefeweizen of thanks for all his guidance for
pushing me when I needed it (and sometimes when I didnrsquot) his support and his
formidable acoustic knowledge
My intrepid undergraduate field team made this project possible Thank you to
my two team leaders Codey L Mathis and Ian Lively as well as my students Alexander
Carbaugh-Rutland Elle Bierman Aria Miles and Kurt Tibbals Without them this
project would have been so much more difficult and I am grateful to them for their
willingness to stand in cold ponds in waders late at night hike through snow and carry
equipment I apologize for inflicting my podcasts and weird tastes in music on you
Without the intellectual and emotional support of the OSU Research Collective
for Applied Acoustics (ORCAA) and the Garcia Lab this project would have been a
much more difficult journey I am immensely grateful for their friendship and many
many pep talks Thank you especially to Evan Bredeweg and Jenny Urbina who always
made themselves available for fieldwork to Samara Haver for her willingness to venture
into the terrestrial realm for a night and to Lindsey Thurman and Michelle Fournet for
many many things
A huge thank you to my advisor Dr Tiffany Garcia for taking me on when I
needed a mentor She gave me the opportunity to present to her lab and I never left and
the community she fosters has been the most worthwhile part of graduate school She is a
motivator a mentor a friend and an inspiration and I am excited to continue working
with her
My parents have always been incredibly supportive of whatever pursuit Irsquove set
my mind to and I am extremely grateful to them for everything they have done for me I
love you both very much There are not enough words to express my gratitude and love
to Kevin White who has kept me grounded sane and immensely loved during this
journey and has been a great reminder of the importance of work-life balance
To all my family and friends words do not do justice to your love and support
but I will say it anyway thank you
CONTRIBUTION OF AUTHORS
Tiffany S Garcia contributed to study design in Chapter 2 and assisted in editing all
aspects of the thesis Holger Klinck contributed to study design and acoustic analyses in
Chapter 2 Alexander Carbaugh-Rutland and Codey L Mathis contributed to study
implementation and data analysis in Chapter 2 Anita Morzillo contributed to funding
acquisition and study design in Chapter 2
TABLE OF CONTENTS
Page
CHAPTER 1 - General introduction1
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication 8
ABSTRACT9
INTRODUCTION 10
METHODS 13
Field methods13
Data processing and analysis 15
Statistical analysis 17
Active communication space-time model17
RESULTS 18
Ambient noise levels18
Call structure 18
Active communication space-time19
DISCUSSION19
TABLES 25
CHAPTER 3 ndash Conclusions 35
LITERATURE CITED 39
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora 44
ABSTRACT45
INTRODUCTION 46
METHODS 47
Data collection 47
Data analysis 48
RESULTS 48
DISCUSSION49
ACKNOWLEDGEMENTS50
LITERATURE CITED 52
LIST OF FIGURES Figure Page
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson Frazier Year 2 all but Talking Water Gardens29
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road noise in overlapping bandwidth of frog call 30
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633 p lt 0005)31
Figure 4 confidence intervals of slope estimates for each parameter of interest 32
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate against noise level at each temperature (color-coded) 33
Figure 6 model of communication space-time for each site represented by the circles and their size as a factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in calls per minute34
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour period Blue line indicates temperature in degrees C54
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C 55
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls (lower panel) 56
LIST OF TABLES Table Page
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place) 25
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all recording sessions 26
Table 3 model statistics for call rate frequency duration and source level27
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate 28
DEDICATION
To two brilliant amazing women I lost when I was just starting my graduate school
career Courtney Wilson gone too soon and Phyllis Parizek my indomitable
grandmother I hope I have done you both justice
1
CHAPTER 1 - General introduction
SOUNDSCAPES
Soundscapes are defined as the collection of biological abiotic and
anthropogenic sounds that are an integral part of a landscape that change
spatiotemporally to reflect ecosystem processes (Pijanowski Farina et al 2011) Natural
soundscapes are generally a good indicator of ecosystem health (Sueur et al 2014)
provide information to organisms within them (Pijanowski Villanueva-Rivera et al
2011) and have cultural significance (Dumyahn and Pijanowski 2011a) Soundscape
ecology draws parallels to landscape ecology and biogeography and focuses on the
spatiotemporal patterns of sound at multiple scales the interactions of the three
components of a soundscape and soundscape monitoring and conservation (Pijanowski
Farina et al 2011) Comprehensive assessment of soundscapes should include input from
multiple other fields including spatial ecology psychoacoustics (human cognition and
perception of sound) acoustic ecology (classification and aesthetic value of ambient
sounds) and bioacoustics (Pijanowski Farina et al 2011)
ANIMAL ACOUSTIC COMMUNICATION
Bioacoustics is the study of animal acoustic communication and all that it entails
sound production and perception morphology evolution of sound production and
hearing and heterospecific interactions (Bradbury and Vehrencamp 2011) Soundscapes
can provide information across the entire community of organisms Intraspecific acoustic
communication is used by wildlife for many purposes for example alarm calls (Ridley et
al 2007) social interaction (Awbrey 1978) and attracting mates (Gerhardt and Huber
2002) It is used across a wide array of taxa including invertebrates and many classes of
vertebrates (Bradbury and Vehrencamp 2011) Additionally bioacoustics encompasses
inter-specific eavesdropping on other species communication (Ridley et al 2014) and
predator-prey interactions (Holderied et al 2011)
2
ANTHROPOGENIC NOISE IMPACTS
When a soundscape is altered in a way where anthropogenic noise overpowers
abiotic and biotic sounds information is lost Anthropogenic noise is generally
characterized as being low-frequency but broadband its energy is spread over a wide
range that overlaps with many of the frequencies used by species to communicate
acoustically (Barber et al 2010) The main sources of anthropogenic noise come from
transportation motor vehicles on roads airplanes and in the marine realm ships
(McGregor et al 2013) It can be either acute (like sirens from emergency vehicles) or
chronic (air traffic vehicle traffic) Due to widespread human encroachment through
roads and air traffic flyover chronic anthropogenic noise has been shown to be audible
even in places where humans are not frequently found and to be fairly consistent
temporally (Barber et al 2011)
At an individual level chronic anthropogenic noise can cause physiological
reactions that can have a direct impact on fitness and reproductive success These can
include hypertension stress and hearing loss (Barber et al 2010) Humans are not
exempt from this studies of children exposed to high levels of chronic anthropogenic
noise even levels below those found to cause hearing loss show elevated levels of stress
hormones and depressed quality-of-life indicators (Evans et al 1998) Responses in
wildlife are similar stress hormone levels are generally elevated in most taxa in chronic
high-noise environments (Barber et al 2010) In many species elevated stress hormone
levels can affect the fitness of individuals (Creel et al 2013) therefore noise can lead to
fitness impacts on individuals even before addressing the implications of reduced
conspecific communication Additionally there are many taxa that use vocalizations and
acoustic cues to forage or to escape from predation Bats have been shown to have
reduced foraging success near noisy roads due to an inability to hear the rustling sounds
of their prey which has direct impacts on their fitness (Siemers and A Schaub 2011)
At the population and community level the more insidious impact of
anthropogenic noise in an ecosystem is that of masking or the loss of communicated
information due to the interference of background noise Masking can impact the ability
of conspecifics to communicate information with each other which can have implications
for mating success group cohesion and other important social processes While many of
3
these implications have not been tested directly studies have shown in many taxa such as
marine mammals (Hatch et al 2012) birds (Slabbekoorn and Peet 2003) bats (Hage et
al 2013) and anurans (Wollerman and Wiley 2002) that communication is hindered by
high levels of anthropogenic noise With a reduction in the ability to perform such vital
tasks as attracting a mate through acoustic vocalization (Gerhardt and Huber 2002) there
may be population-level implications of increased anthropogenic noise species especially
in already-threatened species Animals can modify their vocalizations to counteract the
effects of masking with mixed effects Often these modifications can be energetically
costly (Barber et al 2010 Zollinger and Brumm 2011) It is unclear what trade-offs are
induced by this increased energetic cost but these may also provide additional pressure
on already stressed populations
Anthropogenic noise can also have community-level impacts that can shift the
species distributions and interactions within an ecosystem This can be in part due to the
population-level effects mentioned above however interactions such as
eavesdropping or the cueing in on information by an individual other than the intended
receiver (Ridley et al 2014) Goodale et al (2010) suggest that the sharing of
heterospecific information is one of the primary drivers in the formation and maintenance
of temporary or stable mixed-species groups and it may also help with habitat selection
in species These groups provide benefits to their members mixed-species groups may
provide different ways of perceiving information than single-species groups while
removing some of the competition pressure found in single-species groups For example
Ridley et al (2014) found that a species of bird (scimitarbills) would shift from foraging
in trees to ground foraging in the presence of another species of bird (pied babblers) that
produced alarm calls thereby changing the foraging pressure on ground vegetation and
invertebrates depending on the alarm call species There is also the theory of the
heterospecific attraction hypothesis which describes a situation where individuals choose
habitat patches based on the presence of resident heterospecific individuals (Moumlnkkoumlnen
et al 1999) This has been primarily studied in birds and has been proposed as a
mechanism allowing migrant birds to select high-quality habitat based on the presence of
residents who would necessarily have more time to assess habitat quality (Moumlnkkoumlnen et
al 1997) Song may be a far-reaching cue of resident presence which will affect the
4
development of a migratory bird community that depends on the presence of residents
Anthropogenic noise has the potential to mask any of this information exchange which
may alter community interactions
FROG COMMUNICATION
The impacts of anthropogenic noise are still widely unstudied in many taxa and
since different species have very different responses to noise it is important to quantify
these impacts in order to better understand how to conserve soundscapes and vocalizing
species Among these understudied taxa are the anurans or frogs and toads Of the class
Amphibia only anurans are known to vocalize (Gerhardt and Huber 2002) Vocalization
in this order is used primarily for breeding Males will produce calls that are used to
attract females to breeding ponds (Narins 2007) Additionally other calls are used to
mediate male-male interactions (Brenowitz and Rose 1994) release calls used by both
males and females in breeding situations (Sullivan and Wagner 1988) and territorial calls
(D Schaub and Larsen 1978) Vocalizations are often highly stereotyped and are innate
rather than learned (Narins 2007)
While frog vocalizations have been studied for many years (Gerhardt and Huber
2002) the impacts of noise on their communication are still relatively unclear While
some studies have been done (Lengagne 2008 Kaiser and Hammers 2009 Cunnington
and Fahrig 2012) the population and community level effects of anthropogenic noise on
anurans are unclear Given that many anurans vocalize in single- or multi-species
choruses there is the potential for dramatic shifts in energy expenditure population
structure and community dynamics if anuran vocalization is impacted by anthropogenic
noise
Amphibians (including anurans) are ectothermic their energy expenditures are at
least partially governed by the external temperature of their surroundings (Whitford
1973) In general lower external temperatures are associated with lower activity levels in
this class (Bennett 1978) This extends to vocalization as well which can be related to
temperature constraints (Wells et al 1996) While this is mediated by social context in
some species (Wong et al 2004) it is unclear how social context and temperature interact
across the order to influence aspects of call structure such as call rate Additionally given
5
the diverse evolutionary and developmental histories of amphibians the wide range of
habitat types in which they are found and the considerable vocal diversity displayed by
anurans generalization of conclusions from one species across others is unlikely to be
reasonable (Narins 2007) Instead a species-by-species approach is likely the best way to
determine vocal behavioral norms
Vocal production
The mechanism for production of calls in anurans involves passive vibration of
vocal membranes in the larynx through movement of air from the lungs into the mouth
and vocal sac which acts as a resonant structure used to amplify the call focus the
energy into the second harmonic and cause the signal to be omnidirectional (Gridi-Papp
2014) Dominant frequency is tied to body size in many species of frog and there is some
evidence of frequency plasticity in some species of frog in response to modified
conspecific vocalization (Lopez et al 1988) however it is unclear how universal this is
given the diversity of vocal anuran species and the differing rates of evolution of anuran
vocalization among species (Cocroft and Ryan 1995) As the vocal mechanism is passive
this frequency adjustment is likely achieved through manipulation of the pressures before
and after the larynx and is likely to be energetically costly to change (Gridi-Papp 2014)
Anurans will more readily change the temporal aspects (call rate call duration) of
their calls (Bee and Schwartz 2013) Often call rate and call duration are inversely related
(Bee and Schwartz 2013) so longer calls will be produced less often than shorter calls for
a given species Call rate will increase with increasing temperature as energy levels will
increase at higher temperatures (Wells et al 1996) Frogs will also cease calling after a
disturbance andor alter their timing of calling to take advantage of natural lulls in chorus
noise (Sun and Narins 2005 Velez and Bee 2011) Additionally call rate can be
increased with proximity of other frogs as calling individuals either attempt to attract the
frog (if it is female) or warn it away (if it is another male) (Allan 1973)
Hearing and perception
Hearing in many species of anuran (but not all) occurs when a sound vibrates the
external tympanic membrane located on the side of the head (Mason 2007) From there
vibrations of the tympanic membrane vibrate in turn the stapes which transmits sound
through the oval window to the inner ear The inner ear in amphibians is comprised of
6
two specialized mechanisms the amphibian papilla and the basilar papilla These two
structures are tuned to different frequency ranges the amphibian papilla specializes in
low-frequency sounds and the basilar papilla is more sensitive to higher frequency
ranges (Gerhardt and Bee 2007) Additionally the amphibian papilla frequency range can
be influenced by the external ambient temperature (Lewis and Narins 1999) Hearing in
anurans is thought to be related to the frequency range in which conspecific vocalization
occurs (Gerhardt and Huber 2002) although there are species which can perceive
frequencies outside of that range (Simmons and Moss 1985) However this cannot be
generalized across all species
Localization of conspecific calls in higher vertebrates is dependent on the
difference in arrival time between the two ears which in turn is dependent on the
frequency of the sound being small enough to not exceed the dimensions of the
perceiverrsquos head (Gerhardt and Bee 2007) In anurans this process is considerably more
difficult given the generally small binaural width The exact biophysical process by
which anurans are able to localize conspecific callers is unknown however it is
hypothesized that localization involves some method of pressure differentiation andor
extratympanic input ie the sound may come to the inner ear through multiple pathways
that bypass the tympanic membrane (Gerhardt and Huber 2002) More research is needed
to determine the exact biophysical method of localization in vocalizing anurans
PACIFIC CHORUS FROG LIFE HISTORY
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They range from British
Columbia to Baja California and as far east as Montana (Jones et al 2005) The species
can be found in most still-water aquatic habitats below 10000 feet in elevation (Leonard
1993) They are prolonged breeders and will vocalize in dense choruses from very early
spring or late winter until late spring in a diversity of still-water habitat types While
adults are terrestrial breeding and development of this species is aquatic
Beginning in late winter male Pacific chorus frogs will move from their non-
breeding habitat (usually wooded areas) to still-water breeding habitats Males will then
vocalize not only to establish temporary territories but also to attract females to the
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
LITERATURE CITED
Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
Master of Science thesis of Danielle V Nelson presented on December 7 2015
APPROVED
Major Professor representing Forest Ecosystems and Society
Head of the Department of Forest Ecosystems and Society
Dean of the Graduate School
I understand that my thesis will become part of the permanent collection of Oregon State
University libraries My signature below authorizes release of my thesis to any reader
upon request
`
Danielle V Nelson Author
ACKNOWLEDGEMENTS
I would like to express my gratitude first to the amazing community of students
faculty and staff in both Forest Ecosystems and Society and Fisheries and Wildlife for
their continued support and encouragement The Department of Fisheries and Wildlife
the Department of Forest Ecosystems and Society the College of Forestry and the OSU
Graduate School have provided generous financial support through fellowships research
assistantships teaching assistantships and grants I would especially like to thank Lisa
Ganio for her help with the statistical portion of this thesis I would also like to extend my
gratitude to the American Museum of Natural History for financial support
Thank you to George Mueller-Warrant for his initial help in site selection and GIS
work Additional thanks to Molly Monroe at Willamette Valley National Wildlife Refuge
Complex Kyle Martin at E E Wilson Wildlife Refuge Benton County Department of
Parks and Recreation Albany Public Works Tom Malpass Brian Glaser and Jesse
Farver for all their land access help
Gratitude for the initial inspiration for this project falls entirely on Dr Allison
Sacerdote-Velat of the Lincoln Park Zoo in Chicago Without her course in herpetology
her enthusiasm for frogs and her willingness to think outside the box I never would have
considered developing this project further I thank her profusely for her inspiration and
her continuing friendship and look forward to collaboration with her in the future
Many many thanks to Dr Matthew Betts and Dr Sarah J K Frey of Forest
Ecosystems and Society and Dr Peter Wrege of Cornellrsquos Bioacoustics Research Project
for loans of Songmeters for my field seasons
I benefitted immensely from the support of my committee Thank you to Dr
Anita Morzillo of the University of Connecticut for her work in getting me to OSU and
starting me on this path Dr Brenda McComb of OSU Graduate School was invaluable in
her intellectual administrative and personal support I have so much gratitude for her
stepping up every time I needed her to And to Dr Holger Klinck of OSU FW and
Cornell Lab of Ornithologyrsquos BRP a hefeweizen of thanks for all his guidance for
pushing me when I needed it (and sometimes when I didnrsquot) his support and his
formidable acoustic knowledge
My intrepid undergraduate field team made this project possible Thank you to
my two team leaders Codey L Mathis and Ian Lively as well as my students Alexander
Carbaugh-Rutland Elle Bierman Aria Miles and Kurt Tibbals Without them this
project would have been so much more difficult and I am grateful to them for their
willingness to stand in cold ponds in waders late at night hike through snow and carry
equipment I apologize for inflicting my podcasts and weird tastes in music on you
Without the intellectual and emotional support of the OSU Research Collective
for Applied Acoustics (ORCAA) and the Garcia Lab this project would have been a
much more difficult journey I am immensely grateful for their friendship and many
many pep talks Thank you especially to Evan Bredeweg and Jenny Urbina who always
made themselves available for fieldwork to Samara Haver for her willingness to venture
into the terrestrial realm for a night and to Lindsey Thurman and Michelle Fournet for
many many things
A huge thank you to my advisor Dr Tiffany Garcia for taking me on when I
needed a mentor She gave me the opportunity to present to her lab and I never left and
the community she fosters has been the most worthwhile part of graduate school She is a
motivator a mentor a friend and an inspiration and I am excited to continue working
with her
My parents have always been incredibly supportive of whatever pursuit Irsquove set
my mind to and I am extremely grateful to them for everything they have done for me I
love you both very much There are not enough words to express my gratitude and love
to Kevin White who has kept me grounded sane and immensely loved during this
journey and has been a great reminder of the importance of work-life balance
To all my family and friends words do not do justice to your love and support
but I will say it anyway thank you
CONTRIBUTION OF AUTHORS
Tiffany S Garcia contributed to study design in Chapter 2 and assisted in editing all
aspects of the thesis Holger Klinck contributed to study design and acoustic analyses in
Chapter 2 Alexander Carbaugh-Rutland and Codey L Mathis contributed to study
implementation and data analysis in Chapter 2 Anita Morzillo contributed to funding
acquisition and study design in Chapter 2
TABLE OF CONTENTS
Page
CHAPTER 1 - General introduction1
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication 8
ABSTRACT9
INTRODUCTION 10
METHODS 13
Field methods13
Data processing and analysis 15
Statistical analysis 17
Active communication space-time model17
RESULTS 18
Ambient noise levels18
Call structure 18
Active communication space-time19
DISCUSSION19
TABLES 25
CHAPTER 3 ndash Conclusions 35
LITERATURE CITED 39
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora 44
ABSTRACT45
INTRODUCTION 46
METHODS 47
Data collection 47
Data analysis 48
RESULTS 48
DISCUSSION49
ACKNOWLEDGEMENTS50
LITERATURE CITED 52
LIST OF FIGURES Figure Page
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson Frazier Year 2 all but Talking Water Gardens29
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road noise in overlapping bandwidth of frog call 30
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633 p lt 0005)31
Figure 4 confidence intervals of slope estimates for each parameter of interest 32
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate against noise level at each temperature (color-coded) 33
Figure 6 model of communication space-time for each site represented by the circles and their size as a factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in calls per minute34
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour period Blue line indicates temperature in degrees C54
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C 55
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls (lower panel) 56
LIST OF TABLES Table Page
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place) 25
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all recording sessions 26
Table 3 model statistics for call rate frequency duration and source level27
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate 28
DEDICATION
To two brilliant amazing women I lost when I was just starting my graduate school
career Courtney Wilson gone too soon and Phyllis Parizek my indomitable
grandmother I hope I have done you both justice
1
CHAPTER 1 - General introduction
SOUNDSCAPES
Soundscapes are defined as the collection of biological abiotic and
anthropogenic sounds that are an integral part of a landscape that change
spatiotemporally to reflect ecosystem processes (Pijanowski Farina et al 2011) Natural
soundscapes are generally a good indicator of ecosystem health (Sueur et al 2014)
provide information to organisms within them (Pijanowski Villanueva-Rivera et al
2011) and have cultural significance (Dumyahn and Pijanowski 2011a) Soundscape
ecology draws parallels to landscape ecology and biogeography and focuses on the
spatiotemporal patterns of sound at multiple scales the interactions of the three
components of a soundscape and soundscape monitoring and conservation (Pijanowski
Farina et al 2011) Comprehensive assessment of soundscapes should include input from
multiple other fields including spatial ecology psychoacoustics (human cognition and
perception of sound) acoustic ecology (classification and aesthetic value of ambient
sounds) and bioacoustics (Pijanowski Farina et al 2011)
ANIMAL ACOUSTIC COMMUNICATION
Bioacoustics is the study of animal acoustic communication and all that it entails
sound production and perception morphology evolution of sound production and
hearing and heterospecific interactions (Bradbury and Vehrencamp 2011) Soundscapes
can provide information across the entire community of organisms Intraspecific acoustic
communication is used by wildlife for many purposes for example alarm calls (Ridley et
al 2007) social interaction (Awbrey 1978) and attracting mates (Gerhardt and Huber
2002) It is used across a wide array of taxa including invertebrates and many classes of
vertebrates (Bradbury and Vehrencamp 2011) Additionally bioacoustics encompasses
inter-specific eavesdropping on other species communication (Ridley et al 2014) and
predator-prey interactions (Holderied et al 2011)
2
ANTHROPOGENIC NOISE IMPACTS
When a soundscape is altered in a way where anthropogenic noise overpowers
abiotic and biotic sounds information is lost Anthropogenic noise is generally
characterized as being low-frequency but broadband its energy is spread over a wide
range that overlaps with many of the frequencies used by species to communicate
acoustically (Barber et al 2010) The main sources of anthropogenic noise come from
transportation motor vehicles on roads airplanes and in the marine realm ships
(McGregor et al 2013) It can be either acute (like sirens from emergency vehicles) or
chronic (air traffic vehicle traffic) Due to widespread human encroachment through
roads and air traffic flyover chronic anthropogenic noise has been shown to be audible
even in places where humans are not frequently found and to be fairly consistent
temporally (Barber et al 2011)
At an individual level chronic anthropogenic noise can cause physiological
reactions that can have a direct impact on fitness and reproductive success These can
include hypertension stress and hearing loss (Barber et al 2010) Humans are not
exempt from this studies of children exposed to high levels of chronic anthropogenic
noise even levels below those found to cause hearing loss show elevated levels of stress
hormones and depressed quality-of-life indicators (Evans et al 1998) Responses in
wildlife are similar stress hormone levels are generally elevated in most taxa in chronic
high-noise environments (Barber et al 2010) In many species elevated stress hormone
levels can affect the fitness of individuals (Creel et al 2013) therefore noise can lead to
fitness impacts on individuals even before addressing the implications of reduced
conspecific communication Additionally there are many taxa that use vocalizations and
acoustic cues to forage or to escape from predation Bats have been shown to have
reduced foraging success near noisy roads due to an inability to hear the rustling sounds
of their prey which has direct impacts on their fitness (Siemers and A Schaub 2011)
At the population and community level the more insidious impact of
anthropogenic noise in an ecosystem is that of masking or the loss of communicated
information due to the interference of background noise Masking can impact the ability
of conspecifics to communicate information with each other which can have implications
for mating success group cohesion and other important social processes While many of
3
these implications have not been tested directly studies have shown in many taxa such as
marine mammals (Hatch et al 2012) birds (Slabbekoorn and Peet 2003) bats (Hage et
al 2013) and anurans (Wollerman and Wiley 2002) that communication is hindered by
high levels of anthropogenic noise With a reduction in the ability to perform such vital
tasks as attracting a mate through acoustic vocalization (Gerhardt and Huber 2002) there
may be population-level implications of increased anthropogenic noise species especially
in already-threatened species Animals can modify their vocalizations to counteract the
effects of masking with mixed effects Often these modifications can be energetically
costly (Barber et al 2010 Zollinger and Brumm 2011) It is unclear what trade-offs are
induced by this increased energetic cost but these may also provide additional pressure
on already stressed populations
Anthropogenic noise can also have community-level impacts that can shift the
species distributions and interactions within an ecosystem This can be in part due to the
population-level effects mentioned above however interactions such as
eavesdropping or the cueing in on information by an individual other than the intended
receiver (Ridley et al 2014) Goodale et al (2010) suggest that the sharing of
heterospecific information is one of the primary drivers in the formation and maintenance
of temporary or stable mixed-species groups and it may also help with habitat selection
in species These groups provide benefits to their members mixed-species groups may
provide different ways of perceiving information than single-species groups while
removing some of the competition pressure found in single-species groups For example
Ridley et al (2014) found that a species of bird (scimitarbills) would shift from foraging
in trees to ground foraging in the presence of another species of bird (pied babblers) that
produced alarm calls thereby changing the foraging pressure on ground vegetation and
invertebrates depending on the alarm call species There is also the theory of the
heterospecific attraction hypothesis which describes a situation where individuals choose
habitat patches based on the presence of resident heterospecific individuals (Moumlnkkoumlnen
et al 1999) This has been primarily studied in birds and has been proposed as a
mechanism allowing migrant birds to select high-quality habitat based on the presence of
residents who would necessarily have more time to assess habitat quality (Moumlnkkoumlnen et
al 1997) Song may be a far-reaching cue of resident presence which will affect the
4
development of a migratory bird community that depends on the presence of residents
Anthropogenic noise has the potential to mask any of this information exchange which
may alter community interactions
FROG COMMUNICATION
The impacts of anthropogenic noise are still widely unstudied in many taxa and
since different species have very different responses to noise it is important to quantify
these impacts in order to better understand how to conserve soundscapes and vocalizing
species Among these understudied taxa are the anurans or frogs and toads Of the class
Amphibia only anurans are known to vocalize (Gerhardt and Huber 2002) Vocalization
in this order is used primarily for breeding Males will produce calls that are used to
attract females to breeding ponds (Narins 2007) Additionally other calls are used to
mediate male-male interactions (Brenowitz and Rose 1994) release calls used by both
males and females in breeding situations (Sullivan and Wagner 1988) and territorial calls
(D Schaub and Larsen 1978) Vocalizations are often highly stereotyped and are innate
rather than learned (Narins 2007)
While frog vocalizations have been studied for many years (Gerhardt and Huber
2002) the impacts of noise on their communication are still relatively unclear While
some studies have been done (Lengagne 2008 Kaiser and Hammers 2009 Cunnington
and Fahrig 2012) the population and community level effects of anthropogenic noise on
anurans are unclear Given that many anurans vocalize in single- or multi-species
choruses there is the potential for dramatic shifts in energy expenditure population
structure and community dynamics if anuran vocalization is impacted by anthropogenic
noise
Amphibians (including anurans) are ectothermic their energy expenditures are at
least partially governed by the external temperature of their surroundings (Whitford
1973) In general lower external temperatures are associated with lower activity levels in
this class (Bennett 1978) This extends to vocalization as well which can be related to
temperature constraints (Wells et al 1996) While this is mediated by social context in
some species (Wong et al 2004) it is unclear how social context and temperature interact
across the order to influence aspects of call structure such as call rate Additionally given
5
the diverse evolutionary and developmental histories of amphibians the wide range of
habitat types in which they are found and the considerable vocal diversity displayed by
anurans generalization of conclusions from one species across others is unlikely to be
reasonable (Narins 2007) Instead a species-by-species approach is likely the best way to
determine vocal behavioral norms
Vocal production
The mechanism for production of calls in anurans involves passive vibration of
vocal membranes in the larynx through movement of air from the lungs into the mouth
and vocal sac which acts as a resonant structure used to amplify the call focus the
energy into the second harmonic and cause the signal to be omnidirectional (Gridi-Papp
2014) Dominant frequency is tied to body size in many species of frog and there is some
evidence of frequency plasticity in some species of frog in response to modified
conspecific vocalization (Lopez et al 1988) however it is unclear how universal this is
given the diversity of vocal anuran species and the differing rates of evolution of anuran
vocalization among species (Cocroft and Ryan 1995) As the vocal mechanism is passive
this frequency adjustment is likely achieved through manipulation of the pressures before
and after the larynx and is likely to be energetically costly to change (Gridi-Papp 2014)
Anurans will more readily change the temporal aspects (call rate call duration) of
their calls (Bee and Schwartz 2013) Often call rate and call duration are inversely related
(Bee and Schwartz 2013) so longer calls will be produced less often than shorter calls for
a given species Call rate will increase with increasing temperature as energy levels will
increase at higher temperatures (Wells et al 1996) Frogs will also cease calling after a
disturbance andor alter their timing of calling to take advantage of natural lulls in chorus
noise (Sun and Narins 2005 Velez and Bee 2011) Additionally call rate can be
increased with proximity of other frogs as calling individuals either attempt to attract the
frog (if it is female) or warn it away (if it is another male) (Allan 1973)
Hearing and perception
Hearing in many species of anuran (but not all) occurs when a sound vibrates the
external tympanic membrane located on the side of the head (Mason 2007) From there
vibrations of the tympanic membrane vibrate in turn the stapes which transmits sound
through the oval window to the inner ear The inner ear in amphibians is comprised of
6
two specialized mechanisms the amphibian papilla and the basilar papilla These two
structures are tuned to different frequency ranges the amphibian papilla specializes in
low-frequency sounds and the basilar papilla is more sensitive to higher frequency
ranges (Gerhardt and Bee 2007) Additionally the amphibian papilla frequency range can
be influenced by the external ambient temperature (Lewis and Narins 1999) Hearing in
anurans is thought to be related to the frequency range in which conspecific vocalization
occurs (Gerhardt and Huber 2002) although there are species which can perceive
frequencies outside of that range (Simmons and Moss 1985) However this cannot be
generalized across all species
Localization of conspecific calls in higher vertebrates is dependent on the
difference in arrival time between the two ears which in turn is dependent on the
frequency of the sound being small enough to not exceed the dimensions of the
perceiverrsquos head (Gerhardt and Bee 2007) In anurans this process is considerably more
difficult given the generally small binaural width The exact biophysical process by
which anurans are able to localize conspecific callers is unknown however it is
hypothesized that localization involves some method of pressure differentiation andor
extratympanic input ie the sound may come to the inner ear through multiple pathways
that bypass the tympanic membrane (Gerhardt and Huber 2002) More research is needed
to determine the exact biophysical method of localization in vocalizing anurans
PACIFIC CHORUS FROG LIFE HISTORY
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They range from British
Columbia to Baja California and as far east as Montana (Jones et al 2005) The species
can be found in most still-water aquatic habitats below 10000 feet in elevation (Leonard
1993) They are prolonged breeders and will vocalize in dense choruses from very early
spring or late winter until late spring in a diversity of still-water habitat types While
adults are terrestrial breeding and development of this species is aquatic
Beginning in late winter male Pacific chorus frogs will move from their non-
breeding habitat (usually wooded areas) to still-water breeding habitats Males will then
vocalize not only to establish temporary territories but also to attract females to the
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
LITERATURE CITED
Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
ACKNOWLEDGEMENTS
I would like to express my gratitude first to the amazing community of students
faculty and staff in both Forest Ecosystems and Society and Fisheries and Wildlife for
their continued support and encouragement The Department of Fisheries and Wildlife
the Department of Forest Ecosystems and Society the College of Forestry and the OSU
Graduate School have provided generous financial support through fellowships research
assistantships teaching assistantships and grants I would especially like to thank Lisa
Ganio for her help with the statistical portion of this thesis I would also like to extend my
gratitude to the American Museum of Natural History for financial support
Thank you to George Mueller-Warrant for his initial help in site selection and GIS
work Additional thanks to Molly Monroe at Willamette Valley National Wildlife Refuge
Complex Kyle Martin at E E Wilson Wildlife Refuge Benton County Department of
Parks and Recreation Albany Public Works Tom Malpass Brian Glaser and Jesse
Farver for all their land access help
Gratitude for the initial inspiration for this project falls entirely on Dr Allison
Sacerdote-Velat of the Lincoln Park Zoo in Chicago Without her course in herpetology
her enthusiasm for frogs and her willingness to think outside the box I never would have
considered developing this project further I thank her profusely for her inspiration and
her continuing friendship and look forward to collaboration with her in the future
Many many thanks to Dr Matthew Betts and Dr Sarah J K Frey of Forest
Ecosystems and Society and Dr Peter Wrege of Cornellrsquos Bioacoustics Research Project
for loans of Songmeters for my field seasons
I benefitted immensely from the support of my committee Thank you to Dr
Anita Morzillo of the University of Connecticut for her work in getting me to OSU and
starting me on this path Dr Brenda McComb of OSU Graduate School was invaluable in
her intellectual administrative and personal support I have so much gratitude for her
stepping up every time I needed her to And to Dr Holger Klinck of OSU FW and
Cornell Lab of Ornithologyrsquos BRP a hefeweizen of thanks for all his guidance for
pushing me when I needed it (and sometimes when I didnrsquot) his support and his
formidable acoustic knowledge
My intrepid undergraduate field team made this project possible Thank you to
my two team leaders Codey L Mathis and Ian Lively as well as my students Alexander
Carbaugh-Rutland Elle Bierman Aria Miles and Kurt Tibbals Without them this
project would have been so much more difficult and I am grateful to them for their
willingness to stand in cold ponds in waders late at night hike through snow and carry
equipment I apologize for inflicting my podcasts and weird tastes in music on you
Without the intellectual and emotional support of the OSU Research Collective
for Applied Acoustics (ORCAA) and the Garcia Lab this project would have been a
much more difficult journey I am immensely grateful for their friendship and many
many pep talks Thank you especially to Evan Bredeweg and Jenny Urbina who always
made themselves available for fieldwork to Samara Haver for her willingness to venture
into the terrestrial realm for a night and to Lindsey Thurman and Michelle Fournet for
many many things
A huge thank you to my advisor Dr Tiffany Garcia for taking me on when I
needed a mentor She gave me the opportunity to present to her lab and I never left and
the community she fosters has been the most worthwhile part of graduate school She is a
motivator a mentor a friend and an inspiration and I am excited to continue working
with her
My parents have always been incredibly supportive of whatever pursuit Irsquove set
my mind to and I am extremely grateful to them for everything they have done for me I
love you both very much There are not enough words to express my gratitude and love
to Kevin White who has kept me grounded sane and immensely loved during this
journey and has been a great reminder of the importance of work-life balance
To all my family and friends words do not do justice to your love and support
but I will say it anyway thank you
CONTRIBUTION OF AUTHORS
Tiffany S Garcia contributed to study design in Chapter 2 and assisted in editing all
aspects of the thesis Holger Klinck contributed to study design and acoustic analyses in
Chapter 2 Alexander Carbaugh-Rutland and Codey L Mathis contributed to study
implementation and data analysis in Chapter 2 Anita Morzillo contributed to funding
acquisition and study design in Chapter 2
TABLE OF CONTENTS
Page
CHAPTER 1 - General introduction1
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication 8
ABSTRACT9
INTRODUCTION 10
METHODS 13
Field methods13
Data processing and analysis 15
Statistical analysis 17
Active communication space-time model17
RESULTS 18
Ambient noise levels18
Call structure 18
Active communication space-time19
DISCUSSION19
TABLES 25
CHAPTER 3 ndash Conclusions 35
LITERATURE CITED 39
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora 44
ABSTRACT45
INTRODUCTION 46
METHODS 47
Data collection 47
Data analysis 48
RESULTS 48
DISCUSSION49
ACKNOWLEDGEMENTS50
LITERATURE CITED 52
LIST OF FIGURES Figure Page
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson Frazier Year 2 all but Talking Water Gardens29
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road noise in overlapping bandwidth of frog call 30
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633 p lt 0005)31
Figure 4 confidence intervals of slope estimates for each parameter of interest 32
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate against noise level at each temperature (color-coded) 33
Figure 6 model of communication space-time for each site represented by the circles and their size as a factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in calls per minute34
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour period Blue line indicates temperature in degrees C54
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C 55
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls (lower panel) 56
LIST OF TABLES Table Page
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place) 25
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all recording sessions 26
Table 3 model statistics for call rate frequency duration and source level27
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate 28
DEDICATION
To two brilliant amazing women I lost when I was just starting my graduate school
career Courtney Wilson gone too soon and Phyllis Parizek my indomitable
grandmother I hope I have done you both justice
1
CHAPTER 1 - General introduction
SOUNDSCAPES
Soundscapes are defined as the collection of biological abiotic and
anthropogenic sounds that are an integral part of a landscape that change
spatiotemporally to reflect ecosystem processes (Pijanowski Farina et al 2011) Natural
soundscapes are generally a good indicator of ecosystem health (Sueur et al 2014)
provide information to organisms within them (Pijanowski Villanueva-Rivera et al
2011) and have cultural significance (Dumyahn and Pijanowski 2011a) Soundscape
ecology draws parallels to landscape ecology and biogeography and focuses on the
spatiotemporal patterns of sound at multiple scales the interactions of the three
components of a soundscape and soundscape monitoring and conservation (Pijanowski
Farina et al 2011) Comprehensive assessment of soundscapes should include input from
multiple other fields including spatial ecology psychoacoustics (human cognition and
perception of sound) acoustic ecology (classification and aesthetic value of ambient
sounds) and bioacoustics (Pijanowski Farina et al 2011)
ANIMAL ACOUSTIC COMMUNICATION
Bioacoustics is the study of animal acoustic communication and all that it entails
sound production and perception morphology evolution of sound production and
hearing and heterospecific interactions (Bradbury and Vehrencamp 2011) Soundscapes
can provide information across the entire community of organisms Intraspecific acoustic
communication is used by wildlife for many purposes for example alarm calls (Ridley et
al 2007) social interaction (Awbrey 1978) and attracting mates (Gerhardt and Huber
2002) It is used across a wide array of taxa including invertebrates and many classes of
vertebrates (Bradbury and Vehrencamp 2011) Additionally bioacoustics encompasses
inter-specific eavesdropping on other species communication (Ridley et al 2014) and
predator-prey interactions (Holderied et al 2011)
2
ANTHROPOGENIC NOISE IMPACTS
When a soundscape is altered in a way where anthropogenic noise overpowers
abiotic and biotic sounds information is lost Anthropogenic noise is generally
characterized as being low-frequency but broadband its energy is spread over a wide
range that overlaps with many of the frequencies used by species to communicate
acoustically (Barber et al 2010) The main sources of anthropogenic noise come from
transportation motor vehicles on roads airplanes and in the marine realm ships
(McGregor et al 2013) It can be either acute (like sirens from emergency vehicles) or
chronic (air traffic vehicle traffic) Due to widespread human encroachment through
roads and air traffic flyover chronic anthropogenic noise has been shown to be audible
even in places where humans are not frequently found and to be fairly consistent
temporally (Barber et al 2011)
At an individual level chronic anthropogenic noise can cause physiological
reactions that can have a direct impact on fitness and reproductive success These can
include hypertension stress and hearing loss (Barber et al 2010) Humans are not
exempt from this studies of children exposed to high levels of chronic anthropogenic
noise even levels below those found to cause hearing loss show elevated levels of stress
hormones and depressed quality-of-life indicators (Evans et al 1998) Responses in
wildlife are similar stress hormone levels are generally elevated in most taxa in chronic
high-noise environments (Barber et al 2010) In many species elevated stress hormone
levels can affect the fitness of individuals (Creel et al 2013) therefore noise can lead to
fitness impacts on individuals even before addressing the implications of reduced
conspecific communication Additionally there are many taxa that use vocalizations and
acoustic cues to forage or to escape from predation Bats have been shown to have
reduced foraging success near noisy roads due to an inability to hear the rustling sounds
of their prey which has direct impacts on their fitness (Siemers and A Schaub 2011)
At the population and community level the more insidious impact of
anthropogenic noise in an ecosystem is that of masking or the loss of communicated
information due to the interference of background noise Masking can impact the ability
of conspecifics to communicate information with each other which can have implications
for mating success group cohesion and other important social processes While many of
3
these implications have not been tested directly studies have shown in many taxa such as
marine mammals (Hatch et al 2012) birds (Slabbekoorn and Peet 2003) bats (Hage et
al 2013) and anurans (Wollerman and Wiley 2002) that communication is hindered by
high levels of anthropogenic noise With a reduction in the ability to perform such vital
tasks as attracting a mate through acoustic vocalization (Gerhardt and Huber 2002) there
may be population-level implications of increased anthropogenic noise species especially
in already-threatened species Animals can modify their vocalizations to counteract the
effects of masking with mixed effects Often these modifications can be energetically
costly (Barber et al 2010 Zollinger and Brumm 2011) It is unclear what trade-offs are
induced by this increased energetic cost but these may also provide additional pressure
on already stressed populations
Anthropogenic noise can also have community-level impacts that can shift the
species distributions and interactions within an ecosystem This can be in part due to the
population-level effects mentioned above however interactions such as
eavesdropping or the cueing in on information by an individual other than the intended
receiver (Ridley et al 2014) Goodale et al (2010) suggest that the sharing of
heterospecific information is one of the primary drivers in the formation and maintenance
of temporary or stable mixed-species groups and it may also help with habitat selection
in species These groups provide benefits to their members mixed-species groups may
provide different ways of perceiving information than single-species groups while
removing some of the competition pressure found in single-species groups For example
Ridley et al (2014) found that a species of bird (scimitarbills) would shift from foraging
in trees to ground foraging in the presence of another species of bird (pied babblers) that
produced alarm calls thereby changing the foraging pressure on ground vegetation and
invertebrates depending on the alarm call species There is also the theory of the
heterospecific attraction hypothesis which describes a situation where individuals choose
habitat patches based on the presence of resident heterospecific individuals (Moumlnkkoumlnen
et al 1999) This has been primarily studied in birds and has been proposed as a
mechanism allowing migrant birds to select high-quality habitat based on the presence of
residents who would necessarily have more time to assess habitat quality (Moumlnkkoumlnen et
al 1997) Song may be a far-reaching cue of resident presence which will affect the
4
development of a migratory bird community that depends on the presence of residents
Anthropogenic noise has the potential to mask any of this information exchange which
may alter community interactions
FROG COMMUNICATION
The impacts of anthropogenic noise are still widely unstudied in many taxa and
since different species have very different responses to noise it is important to quantify
these impacts in order to better understand how to conserve soundscapes and vocalizing
species Among these understudied taxa are the anurans or frogs and toads Of the class
Amphibia only anurans are known to vocalize (Gerhardt and Huber 2002) Vocalization
in this order is used primarily for breeding Males will produce calls that are used to
attract females to breeding ponds (Narins 2007) Additionally other calls are used to
mediate male-male interactions (Brenowitz and Rose 1994) release calls used by both
males and females in breeding situations (Sullivan and Wagner 1988) and territorial calls
(D Schaub and Larsen 1978) Vocalizations are often highly stereotyped and are innate
rather than learned (Narins 2007)
While frog vocalizations have been studied for many years (Gerhardt and Huber
2002) the impacts of noise on their communication are still relatively unclear While
some studies have been done (Lengagne 2008 Kaiser and Hammers 2009 Cunnington
and Fahrig 2012) the population and community level effects of anthropogenic noise on
anurans are unclear Given that many anurans vocalize in single- or multi-species
choruses there is the potential for dramatic shifts in energy expenditure population
structure and community dynamics if anuran vocalization is impacted by anthropogenic
noise
Amphibians (including anurans) are ectothermic their energy expenditures are at
least partially governed by the external temperature of their surroundings (Whitford
1973) In general lower external temperatures are associated with lower activity levels in
this class (Bennett 1978) This extends to vocalization as well which can be related to
temperature constraints (Wells et al 1996) While this is mediated by social context in
some species (Wong et al 2004) it is unclear how social context and temperature interact
across the order to influence aspects of call structure such as call rate Additionally given
5
the diverse evolutionary and developmental histories of amphibians the wide range of
habitat types in which they are found and the considerable vocal diversity displayed by
anurans generalization of conclusions from one species across others is unlikely to be
reasonable (Narins 2007) Instead a species-by-species approach is likely the best way to
determine vocal behavioral norms
Vocal production
The mechanism for production of calls in anurans involves passive vibration of
vocal membranes in the larynx through movement of air from the lungs into the mouth
and vocal sac which acts as a resonant structure used to amplify the call focus the
energy into the second harmonic and cause the signal to be omnidirectional (Gridi-Papp
2014) Dominant frequency is tied to body size in many species of frog and there is some
evidence of frequency plasticity in some species of frog in response to modified
conspecific vocalization (Lopez et al 1988) however it is unclear how universal this is
given the diversity of vocal anuran species and the differing rates of evolution of anuran
vocalization among species (Cocroft and Ryan 1995) As the vocal mechanism is passive
this frequency adjustment is likely achieved through manipulation of the pressures before
and after the larynx and is likely to be energetically costly to change (Gridi-Papp 2014)
Anurans will more readily change the temporal aspects (call rate call duration) of
their calls (Bee and Schwartz 2013) Often call rate and call duration are inversely related
(Bee and Schwartz 2013) so longer calls will be produced less often than shorter calls for
a given species Call rate will increase with increasing temperature as energy levels will
increase at higher temperatures (Wells et al 1996) Frogs will also cease calling after a
disturbance andor alter their timing of calling to take advantage of natural lulls in chorus
noise (Sun and Narins 2005 Velez and Bee 2011) Additionally call rate can be
increased with proximity of other frogs as calling individuals either attempt to attract the
frog (if it is female) or warn it away (if it is another male) (Allan 1973)
Hearing and perception
Hearing in many species of anuran (but not all) occurs when a sound vibrates the
external tympanic membrane located on the side of the head (Mason 2007) From there
vibrations of the tympanic membrane vibrate in turn the stapes which transmits sound
through the oval window to the inner ear The inner ear in amphibians is comprised of
6
two specialized mechanisms the amphibian papilla and the basilar papilla These two
structures are tuned to different frequency ranges the amphibian papilla specializes in
low-frequency sounds and the basilar papilla is more sensitive to higher frequency
ranges (Gerhardt and Bee 2007) Additionally the amphibian papilla frequency range can
be influenced by the external ambient temperature (Lewis and Narins 1999) Hearing in
anurans is thought to be related to the frequency range in which conspecific vocalization
occurs (Gerhardt and Huber 2002) although there are species which can perceive
frequencies outside of that range (Simmons and Moss 1985) However this cannot be
generalized across all species
Localization of conspecific calls in higher vertebrates is dependent on the
difference in arrival time between the two ears which in turn is dependent on the
frequency of the sound being small enough to not exceed the dimensions of the
perceiverrsquos head (Gerhardt and Bee 2007) In anurans this process is considerably more
difficult given the generally small binaural width The exact biophysical process by
which anurans are able to localize conspecific callers is unknown however it is
hypothesized that localization involves some method of pressure differentiation andor
extratympanic input ie the sound may come to the inner ear through multiple pathways
that bypass the tympanic membrane (Gerhardt and Huber 2002) More research is needed
to determine the exact biophysical method of localization in vocalizing anurans
PACIFIC CHORUS FROG LIFE HISTORY
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They range from British
Columbia to Baja California and as far east as Montana (Jones et al 2005) The species
can be found in most still-water aquatic habitats below 10000 feet in elevation (Leonard
1993) They are prolonged breeders and will vocalize in dense choruses from very early
spring or late winter until late spring in a diversity of still-water habitat types While
adults are terrestrial breeding and development of this species is aquatic
Beginning in late winter male Pacific chorus frogs will move from their non-
breeding habitat (usually wooded areas) to still-water breeding habitats Males will then
vocalize not only to establish temporary territories but also to attract females to the
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
LITERATURE CITED
Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
My intrepid undergraduate field team made this project possible Thank you to
my two team leaders Codey L Mathis and Ian Lively as well as my students Alexander
Carbaugh-Rutland Elle Bierman Aria Miles and Kurt Tibbals Without them this
project would have been so much more difficult and I am grateful to them for their
willingness to stand in cold ponds in waders late at night hike through snow and carry
equipment I apologize for inflicting my podcasts and weird tastes in music on you
Without the intellectual and emotional support of the OSU Research Collective
for Applied Acoustics (ORCAA) and the Garcia Lab this project would have been a
much more difficult journey I am immensely grateful for their friendship and many
many pep talks Thank you especially to Evan Bredeweg and Jenny Urbina who always
made themselves available for fieldwork to Samara Haver for her willingness to venture
into the terrestrial realm for a night and to Lindsey Thurman and Michelle Fournet for
many many things
A huge thank you to my advisor Dr Tiffany Garcia for taking me on when I
needed a mentor She gave me the opportunity to present to her lab and I never left and
the community she fosters has been the most worthwhile part of graduate school She is a
motivator a mentor a friend and an inspiration and I am excited to continue working
with her
My parents have always been incredibly supportive of whatever pursuit Irsquove set
my mind to and I am extremely grateful to them for everything they have done for me I
love you both very much There are not enough words to express my gratitude and love
to Kevin White who has kept me grounded sane and immensely loved during this
journey and has been a great reminder of the importance of work-life balance
To all my family and friends words do not do justice to your love and support
but I will say it anyway thank you
CONTRIBUTION OF AUTHORS
Tiffany S Garcia contributed to study design in Chapter 2 and assisted in editing all
aspects of the thesis Holger Klinck contributed to study design and acoustic analyses in
Chapter 2 Alexander Carbaugh-Rutland and Codey L Mathis contributed to study
implementation and data analysis in Chapter 2 Anita Morzillo contributed to funding
acquisition and study design in Chapter 2
TABLE OF CONTENTS
Page
CHAPTER 1 - General introduction1
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication 8
ABSTRACT9
INTRODUCTION 10
METHODS 13
Field methods13
Data processing and analysis 15
Statistical analysis 17
Active communication space-time model17
RESULTS 18
Ambient noise levels18
Call structure 18
Active communication space-time19
DISCUSSION19
TABLES 25
CHAPTER 3 ndash Conclusions 35
LITERATURE CITED 39
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora 44
ABSTRACT45
INTRODUCTION 46
METHODS 47
Data collection 47
Data analysis 48
RESULTS 48
DISCUSSION49
ACKNOWLEDGEMENTS50
LITERATURE CITED 52
LIST OF FIGURES Figure Page
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson Frazier Year 2 all but Talking Water Gardens29
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road noise in overlapping bandwidth of frog call 30
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633 p lt 0005)31
Figure 4 confidence intervals of slope estimates for each parameter of interest 32
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate against noise level at each temperature (color-coded) 33
Figure 6 model of communication space-time for each site represented by the circles and their size as a factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in calls per minute34
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour period Blue line indicates temperature in degrees C54
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C 55
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls (lower panel) 56
LIST OF TABLES Table Page
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place) 25
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all recording sessions 26
Table 3 model statistics for call rate frequency duration and source level27
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate 28
DEDICATION
To two brilliant amazing women I lost when I was just starting my graduate school
career Courtney Wilson gone too soon and Phyllis Parizek my indomitable
grandmother I hope I have done you both justice
1
CHAPTER 1 - General introduction
SOUNDSCAPES
Soundscapes are defined as the collection of biological abiotic and
anthropogenic sounds that are an integral part of a landscape that change
spatiotemporally to reflect ecosystem processes (Pijanowski Farina et al 2011) Natural
soundscapes are generally a good indicator of ecosystem health (Sueur et al 2014)
provide information to organisms within them (Pijanowski Villanueva-Rivera et al
2011) and have cultural significance (Dumyahn and Pijanowski 2011a) Soundscape
ecology draws parallels to landscape ecology and biogeography and focuses on the
spatiotemporal patterns of sound at multiple scales the interactions of the three
components of a soundscape and soundscape monitoring and conservation (Pijanowski
Farina et al 2011) Comprehensive assessment of soundscapes should include input from
multiple other fields including spatial ecology psychoacoustics (human cognition and
perception of sound) acoustic ecology (classification and aesthetic value of ambient
sounds) and bioacoustics (Pijanowski Farina et al 2011)
ANIMAL ACOUSTIC COMMUNICATION
Bioacoustics is the study of animal acoustic communication and all that it entails
sound production and perception morphology evolution of sound production and
hearing and heterospecific interactions (Bradbury and Vehrencamp 2011) Soundscapes
can provide information across the entire community of organisms Intraspecific acoustic
communication is used by wildlife for many purposes for example alarm calls (Ridley et
al 2007) social interaction (Awbrey 1978) and attracting mates (Gerhardt and Huber
2002) It is used across a wide array of taxa including invertebrates and many classes of
vertebrates (Bradbury and Vehrencamp 2011) Additionally bioacoustics encompasses
inter-specific eavesdropping on other species communication (Ridley et al 2014) and
predator-prey interactions (Holderied et al 2011)
2
ANTHROPOGENIC NOISE IMPACTS
When a soundscape is altered in a way where anthropogenic noise overpowers
abiotic and biotic sounds information is lost Anthropogenic noise is generally
characterized as being low-frequency but broadband its energy is spread over a wide
range that overlaps with many of the frequencies used by species to communicate
acoustically (Barber et al 2010) The main sources of anthropogenic noise come from
transportation motor vehicles on roads airplanes and in the marine realm ships
(McGregor et al 2013) It can be either acute (like sirens from emergency vehicles) or
chronic (air traffic vehicle traffic) Due to widespread human encroachment through
roads and air traffic flyover chronic anthropogenic noise has been shown to be audible
even in places where humans are not frequently found and to be fairly consistent
temporally (Barber et al 2011)
At an individual level chronic anthropogenic noise can cause physiological
reactions that can have a direct impact on fitness and reproductive success These can
include hypertension stress and hearing loss (Barber et al 2010) Humans are not
exempt from this studies of children exposed to high levels of chronic anthropogenic
noise even levels below those found to cause hearing loss show elevated levels of stress
hormones and depressed quality-of-life indicators (Evans et al 1998) Responses in
wildlife are similar stress hormone levels are generally elevated in most taxa in chronic
high-noise environments (Barber et al 2010) In many species elevated stress hormone
levels can affect the fitness of individuals (Creel et al 2013) therefore noise can lead to
fitness impacts on individuals even before addressing the implications of reduced
conspecific communication Additionally there are many taxa that use vocalizations and
acoustic cues to forage or to escape from predation Bats have been shown to have
reduced foraging success near noisy roads due to an inability to hear the rustling sounds
of their prey which has direct impacts on their fitness (Siemers and A Schaub 2011)
At the population and community level the more insidious impact of
anthropogenic noise in an ecosystem is that of masking or the loss of communicated
information due to the interference of background noise Masking can impact the ability
of conspecifics to communicate information with each other which can have implications
for mating success group cohesion and other important social processes While many of
3
these implications have not been tested directly studies have shown in many taxa such as
marine mammals (Hatch et al 2012) birds (Slabbekoorn and Peet 2003) bats (Hage et
al 2013) and anurans (Wollerman and Wiley 2002) that communication is hindered by
high levels of anthropogenic noise With a reduction in the ability to perform such vital
tasks as attracting a mate through acoustic vocalization (Gerhardt and Huber 2002) there
may be population-level implications of increased anthropogenic noise species especially
in already-threatened species Animals can modify their vocalizations to counteract the
effects of masking with mixed effects Often these modifications can be energetically
costly (Barber et al 2010 Zollinger and Brumm 2011) It is unclear what trade-offs are
induced by this increased energetic cost but these may also provide additional pressure
on already stressed populations
Anthropogenic noise can also have community-level impacts that can shift the
species distributions and interactions within an ecosystem This can be in part due to the
population-level effects mentioned above however interactions such as
eavesdropping or the cueing in on information by an individual other than the intended
receiver (Ridley et al 2014) Goodale et al (2010) suggest that the sharing of
heterospecific information is one of the primary drivers in the formation and maintenance
of temporary or stable mixed-species groups and it may also help with habitat selection
in species These groups provide benefits to their members mixed-species groups may
provide different ways of perceiving information than single-species groups while
removing some of the competition pressure found in single-species groups For example
Ridley et al (2014) found that a species of bird (scimitarbills) would shift from foraging
in trees to ground foraging in the presence of another species of bird (pied babblers) that
produced alarm calls thereby changing the foraging pressure on ground vegetation and
invertebrates depending on the alarm call species There is also the theory of the
heterospecific attraction hypothesis which describes a situation where individuals choose
habitat patches based on the presence of resident heterospecific individuals (Moumlnkkoumlnen
et al 1999) This has been primarily studied in birds and has been proposed as a
mechanism allowing migrant birds to select high-quality habitat based on the presence of
residents who would necessarily have more time to assess habitat quality (Moumlnkkoumlnen et
al 1997) Song may be a far-reaching cue of resident presence which will affect the
4
development of a migratory bird community that depends on the presence of residents
Anthropogenic noise has the potential to mask any of this information exchange which
may alter community interactions
FROG COMMUNICATION
The impacts of anthropogenic noise are still widely unstudied in many taxa and
since different species have very different responses to noise it is important to quantify
these impacts in order to better understand how to conserve soundscapes and vocalizing
species Among these understudied taxa are the anurans or frogs and toads Of the class
Amphibia only anurans are known to vocalize (Gerhardt and Huber 2002) Vocalization
in this order is used primarily for breeding Males will produce calls that are used to
attract females to breeding ponds (Narins 2007) Additionally other calls are used to
mediate male-male interactions (Brenowitz and Rose 1994) release calls used by both
males and females in breeding situations (Sullivan and Wagner 1988) and territorial calls
(D Schaub and Larsen 1978) Vocalizations are often highly stereotyped and are innate
rather than learned (Narins 2007)
While frog vocalizations have been studied for many years (Gerhardt and Huber
2002) the impacts of noise on their communication are still relatively unclear While
some studies have been done (Lengagne 2008 Kaiser and Hammers 2009 Cunnington
and Fahrig 2012) the population and community level effects of anthropogenic noise on
anurans are unclear Given that many anurans vocalize in single- or multi-species
choruses there is the potential for dramatic shifts in energy expenditure population
structure and community dynamics if anuran vocalization is impacted by anthropogenic
noise
Amphibians (including anurans) are ectothermic their energy expenditures are at
least partially governed by the external temperature of their surroundings (Whitford
1973) In general lower external temperatures are associated with lower activity levels in
this class (Bennett 1978) This extends to vocalization as well which can be related to
temperature constraints (Wells et al 1996) While this is mediated by social context in
some species (Wong et al 2004) it is unclear how social context and temperature interact
across the order to influence aspects of call structure such as call rate Additionally given
5
the diverse evolutionary and developmental histories of amphibians the wide range of
habitat types in which they are found and the considerable vocal diversity displayed by
anurans generalization of conclusions from one species across others is unlikely to be
reasonable (Narins 2007) Instead a species-by-species approach is likely the best way to
determine vocal behavioral norms
Vocal production
The mechanism for production of calls in anurans involves passive vibration of
vocal membranes in the larynx through movement of air from the lungs into the mouth
and vocal sac which acts as a resonant structure used to amplify the call focus the
energy into the second harmonic and cause the signal to be omnidirectional (Gridi-Papp
2014) Dominant frequency is tied to body size in many species of frog and there is some
evidence of frequency plasticity in some species of frog in response to modified
conspecific vocalization (Lopez et al 1988) however it is unclear how universal this is
given the diversity of vocal anuran species and the differing rates of evolution of anuran
vocalization among species (Cocroft and Ryan 1995) As the vocal mechanism is passive
this frequency adjustment is likely achieved through manipulation of the pressures before
and after the larynx and is likely to be energetically costly to change (Gridi-Papp 2014)
Anurans will more readily change the temporal aspects (call rate call duration) of
their calls (Bee and Schwartz 2013) Often call rate and call duration are inversely related
(Bee and Schwartz 2013) so longer calls will be produced less often than shorter calls for
a given species Call rate will increase with increasing temperature as energy levels will
increase at higher temperatures (Wells et al 1996) Frogs will also cease calling after a
disturbance andor alter their timing of calling to take advantage of natural lulls in chorus
noise (Sun and Narins 2005 Velez and Bee 2011) Additionally call rate can be
increased with proximity of other frogs as calling individuals either attempt to attract the
frog (if it is female) or warn it away (if it is another male) (Allan 1973)
Hearing and perception
Hearing in many species of anuran (but not all) occurs when a sound vibrates the
external tympanic membrane located on the side of the head (Mason 2007) From there
vibrations of the tympanic membrane vibrate in turn the stapes which transmits sound
through the oval window to the inner ear The inner ear in amphibians is comprised of
6
two specialized mechanisms the amphibian papilla and the basilar papilla These two
structures are tuned to different frequency ranges the amphibian papilla specializes in
low-frequency sounds and the basilar papilla is more sensitive to higher frequency
ranges (Gerhardt and Bee 2007) Additionally the amphibian papilla frequency range can
be influenced by the external ambient temperature (Lewis and Narins 1999) Hearing in
anurans is thought to be related to the frequency range in which conspecific vocalization
occurs (Gerhardt and Huber 2002) although there are species which can perceive
frequencies outside of that range (Simmons and Moss 1985) However this cannot be
generalized across all species
Localization of conspecific calls in higher vertebrates is dependent on the
difference in arrival time between the two ears which in turn is dependent on the
frequency of the sound being small enough to not exceed the dimensions of the
perceiverrsquos head (Gerhardt and Bee 2007) In anurans this process is considerably more
difficult given the generally small binaural width The exact biophysical process by
which anurans are able to localize conspecific callers is unknown however it is
hypothesized that localization involves some method of pressure differentiation andor
extratympanic input ie the sound may come to the inner ear through multiple pathways
that bypass the tympanic membrane (Gerhardt and Huber 2002) More research is needed
to determine the exact biophysical method of localization in vocalizing anurans
PACIFIC CHORUS FROG LIFE HISTORY
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They range from British
Columbia to Baja California and as far east as Montana (Jones et al 2005) The species
can be found in most still-water aquatic habitats below 10000 feet in elevation (Leonard
1993) They are prolonged breeders and will vocalize in dense choruses from very early
spring or late winter until late spring in a diversity of still-water habitat types While
adults are terrestrial breeding and development of this species is aquatic
Beginning in late winter male Pacific chorus frogs will move from their non-
breeding habitat (usually wooded areas) to still-water breeding habitats Males will then
vocalize not only to establish temporary territories but also to attract females to the
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
LITERATURE CITED
Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
CONTRIBUTION OF AUTHORS
Tiffany S Garcia contributed to study design in Chapter 2 and assisted in editing all
aspects of the thesis Holger Klinck contributed to study design and acoustic analyses in
Chapter 2 Alexander Carbaugh-Rutland and Codey L Mathis contributed to study
implementation and data analysis in Chapter 2 Anita Morzillo contributed to funding
acquisition and study design in Chapter 2
TABLE OF CONTENTS
Page
CHAPTER 1 - General introduction1
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication 8
ABSTRACT9
INTRODUCTION 10
METHODS 13
Field methods13
Data processing and analysis 15
Statistical analysis 17
Active communication space-time model17
RESULTS 18
Ambient noise levels18
Call structure 18
Active communication space-time19
DISCUSSION19
TABLES 25
CHAPTER 3 ndash Conclusions 35
LITERATURE CITED 39
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora 44
ABSTRACT45
INTRODUCTION 46
METHODS 47
Data collection 47
Data analysis 48
RESULTS 48
DISCUSSION49
ACKNOWLEDGEMENTS50
LITERATURE CITED 52
LIST OF FIGURES Figure Page
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson Frazier Year 2 all but Talking Water Gardens29
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road noise in overlapping bandwidth of frog call 30
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633 p lt 0005)31
Figure 4 confidence intervals of slope estimates for each parameter of interest 32
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate against noise level at each temperature (color-coded) 33
Figure 6 model of communication space-time for each site represented by the circles and their size as a factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in calls per minute34
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour period Blue line indicates temperature in degrees C54
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C 55
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls (lower panel) 56
LIST OF TABLES Table Page
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place) 25
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all recording sessions 26
Table 3 model statistics for call rate frequency duration and source level27
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate 28
DEDICATION
To two brilliant amazing women I lost when I was just starting my graduate school
career Courtney Wilson gone too soon and Phyllis Parizek my indomitable
grandmother I hope I have done you both justice
1
CHAPTER 1 - General introduction
SOUNDSCAPES
Soundscapes are defined as the collection of biological abiotic and
anthropogenic sounds that are an integral part of a landscape that change
spatiotemporally to reflect ecosystem processes (Pijanowski Farina et al 2011) Natural
soundscapes are generally a good indicator of ecosystem health (Sueur et al 2014)
provide information to organisms within them (Pijanowski Villanueva-Rivera et al
2011) and have cultural significance (Dumyahn and Pijanowski 2011a) Soundscape
ecology draws parallels to landscape ecology and biogeography and focuses on the
spatiotemporal patterns of sound at multiple scales the interactions of the three
components of a soundscape and soundscape monitoring and conservation (Pijanowski
Farina et al 2011) Comprehensive assessment of soundscapes should include input from
multiple other fields including spatial ecology psychoacoustics (human cognition and
perception of sound) acoustic ecology (classification and aesthetic value of ambient
sounds) and bioacoustics (Pijanowski Farina et al 2011)
ANIMAL ACOUSTIC COMMUNICATION
Bioacoustics is the study of animal acoustic communication and all that it entails
sound production and perception morphology evolution of sound production and
hearing and heterospecific interactions (Bradbury and Vehrencamp 2011) Soundscapes
can provide information across the entire community of organisms Intraspecific acoustic
communication is used by wildlife for many purposes for example alarm calls (Ridley et
al 2007) social interaction (Awbrey 1978) and attracting mates (Gerhardt and Huber
2002) It is used across a wide array of taxa including invertebrates and many classes of
vertebrates (Bradbury and Vehrencamp 2011) Additionally bioacoustics encompasses
inter-specific eavesdropping on other species communication (Ridley et al 2014) and
predator-prey interactions (Holderied et al 2011)
2
ANTHROPOGENIC NOISE IMPACTS
When a soundscape is altered in a way where anthropogenic noise overpowers
abiotic and biotic sounds information is lost Anthropogenic noise is generally
characterized as being low-frequency but broadband its energy is spread over a wide
range that overlaps with many of the frequencies used by species to communicate
acoustically (Barber et al 2010) The main sources of anthropogenic noise come from
transportation motor vehicles on roads airplanes and in the marine realm ships
(McGregor et al 2013) It can be either acute (like sirens from emergency vehicles) or
chronic (air traffic vehicle traffic) Due to widespread human encroachment through
roads and air traffic flyover chronic anthropogenic noise has been shown to be audible
even in places where humans are not frequently found and to be fairly consistent
temporally (Barber et al 2011)
At an individual level chronic anthropogenic noise can cause physiological
reactions that can have a direct impact on fitness and reproductive success These can
include hypertension stress and hearing loss (Barber et al 2010) Humans are not
exempt from this studies of children exposed to high levels of chronic anthropogenic
noise even levels below those found to cause hearing loss show elevated levels of stress
hormones and depressed quality-of-life indicators (Evans et al 1998) Responses in
wildlife are similar stress hormone levels are generally elevated in most taxa in chronic
high-noise environments (Barber et al 2010) In many species elevated stress hormone
levels can affect the fitness of individuals (Creel et al 2013) therefore noise can lead to
fitness impacts on individuals even before addressing the implications of reduced
conspecific communication Additionally there are many taxa that use vocalizations and
acoustic cues to forage or to escape from predation Bats have been shown to have
reduced foraging success near noisy roads due to an inability to hear the rustling sounds
of their prey which has direct impacts on their fitness (Siemers and A Schaub 2011)
At the population and community level the more insidious impact of
anthropogenic noise in an ecosystem is that of masking or the loss of communicated
information due to the interference of background noise Masking can impact the ability
of conspecifics to communicate information with each other which can have implications
for mating success group cohesion and other important social processes While many of
3
these implications have not been tested directly studies have shown in many taxa such as
marine mammals (Hatch et al 2012) birds (Slabbekoorn and Peet 2003) bats (Hage et
al 2013) and anurans (Wollerman and Wiley 2002) that communication is hindered by
high levels of anthropogenic noise With a reduction in the ability to perform such vital
tasks as attracting a mate through acoustic vocalization (Gerhardt and Huber 2002) there
may be population-level implications of increased anthropogenic noise species especially
in already-threatened species Animals can modify their vocalizations to counteract the
effects of masking with mixed effects Often these modifications can be energetically
costly (Barber et al 2010 Zollinger and Brumm 2011) It is unclear what trade-offs are
induced by this increased energetic cost but these may also provide additional pressure
on already stressed populations
Anthropogenic noise can also have community-level impacts that can shift the
species distributions and interactions within an ecosystem This can be in part due to the
population-level effects mentioned above however interactions such as
eavesdropping or the cueing in on information by an individual other than the intended
receiver (Ridley et al 2014) Goodale et al (2010) suggest that the sharing of
heterospecific information is one of the primary drivers in the formation and maintenance
of temporary or stable mixed-species groups and it may also help with habitat selection
in species These groups provide benefits to their members mixed-species groups may
provide different ways of perceiving information than single-species groups while
removing some of the competition pressure found in single-species groups For example
Ridley et al (2014) found that a species of bird (scimitarbills) would shift from foraging
in trees to ground foraging in the presence of another species of bird (pied babblers) that
produced alarm calls thereby changing the foraging pressure on ground vegetation and
invertebrates depending on the alarm call species There is also the theory of the
heterospecific attraction hypothesis which describes a situation where individuals choose
habitat patches based on the presence of resident heterospecific individuals (Moumlnkkoumlnen
et al 1999) This has been primarily studied in birds and has been proposed as a
mechanism allowing migrant birds to select high-quality habitat based on the presence of
residents who would necessarily have more time to assess habitat quality (Moumlnkkoumlnen et
al 1997) Song may be a far-reaching cue of resident presence which will affect the
4
development of a migratory bird community that depends on the presence of residents
Anthropogenic noise has the potential to mask any of this information exchange which
may alter community interactions
FROG COMMUNICATION
The impacts of anthropogenic noise are still widely unstudied in many taxa and
since different species have very different responses to noise it is important to quantify
these impacts in order to better understand how to conserve soundscapes and vocalizing
species Among these understudied taxa are the anurans or frogs and toads Of the class
Amphibia only anurans are known to vocalize (Gerhardt and Huber 2002) Vocalization
in this order is used primarily for breeding Males will produce calls that are used to
attract females to breeding ponds (Narins 2007) Additionally other calls are used to
mediate male-male interactions (Brenowitz and Rose 1994) release calls used by both
males and females in breeding situations (Sullivan and Wagner 1988) and territorial calls
(D Schaub and Larsen 1978) Vocalizations are often highly stereotyped and are innate
rather than learned (Narins 2007)
While frog vocalizations have been studied for many years (Gerhardt and Huber
2002) the impacts of noise on their communication are still relatively unclear While
some studies have been done (Lengagne 2008 Kaiser and Hammers 2009 Cunnington
and Fahrig 2012) the population and community level effects of anthropogenic noise on
anurans are unclear Given that many anurans vocalize in single- or multi-species
choruses there is the potential for dramatic shifts in energy expenditure population
structure and community dynamics if anuran vocalization is impacted by anthropogenic
noise
Amphibians (including anurans) are ectothermic their energy expenditures are at
least partially governed by the external temperature of their surroundings (Whitford
1973) In general lower external temperatures are associated with lower activity levels in
this class (Bennett 1978) This extends to vocalization as well which can be related to
temperature constraints (Wells et al 1996) While this is mediated by social context in
some species (Wong et al 2004) it is unclear how social context and temperature interact
across the order to influence aspects of call structure such as call rate Additionally given
5
the diverse evolutionary and developmental histories of amphibians the wide range of
habitat types in which they are found and the considerable vocal diversity displayed by
anurans generalization of conclusions from one species across others is unlikely to be
reasonable (Narins 2007) Instead a species-by-species approach is likely the best way to
determine vocal behavioral norms
Vocal production
The mechanism for production of calls in anurans involves passive vibration of
vocal membranes in the larynx through movement of air from the lungs into the mouth
and vocal sac which acts as a resonant structure used to amplify the call focus the
energy into the second harmonic and cause the signal to be omnidirectional (Gridi-Papp
2014) Dominant frequency is tied to body size in many species of frog and there is some
evidence of frequency plasticity in some species of frog in response to modified
conspecific vocalization (Lopez et al 1988) however it is unclear how universal this is
given the diversity of vocal anuran species and the differing rates of evolution of anuran
vocalization among species (Cocroft and Ryan 1995) As the vocal mechanism is passive
this frequency adjustment is likely achieved through manipulation of the pressures before
and after the larynx and is likely to be energetically costly to change (Gridi-Papp 2014)
Anurans will more readily change the temporal aspects (call rate call duration) of
their calls (Bee and Schwartz 2013) Often call rate and call duration are inversely related
(Bee and Schwartz 2013) so longer calls will be produced less often than shorter calls for
a given species Call rate will increase with increasing temperature as energy levels will
increase at higher temperatures (Wells et al 1996) Frogs will also cease calling after a
disturbance andor alter their timing of calling to take advantage of natural lulls in chorus
noise (Sun and Narins 2005 Velez and Bee 2011) Additionally call rate can be
increased with proximity of other frogs as calling individuals either attempt to attract the
frog (if it is female) or warn it away (if it is another male) (Allan 1973)
Hearing and perception
Hearing in many species of anuran (but not all) occurs when a sound vibrates the
external tympanic membrane located on the side of the head (Mason 2007) From there
vibrations of the tympanic membrane vibrate in turn the stapes which transmits sound
through the oval window to the inner ear The inner ear in amphibians is comprised of
6
two specialized mechanisms the amphibian papilla and the basilar papilla These two
structures are tuned to different frequency ranges the amphibian papilla specializes in
low-frequency sounds and the basilar papilla is more sensitive to higher frequency
ranges (Gerhardt and Bee 2007) Additionally the amphibian papilla frequency range can
be influenced by the external ambient temperature (Lewis and Narins 1999) Hearing in
anurans is thought to be related to the frequency range in which conspecific vocalization
occurs (Gerhardt and Huber 2002) although there are species which can perceive
frequencies outside of that range (Simmons and Moss 1985) However this cannot be
generalized across all species
Localization of conspecific calls in higher vertebrates is dependent on the
difference in arrival time between the two ears which in turn is dependent on the
frequency of the sound being small enough to not exceed the dimensions of the
perceiverrsquos head (Gerhardt and Bee 2007) In anurans this process is considerably more
difficult given the generally small binaural width The exact biophysical process by
which anurans are able to localize conspecific callers is unknown however it is
hypothesized that localization involves some method of pressure differentiation andor
extratympanic input ie the sound may come to the inner ear through multiple pathways
that bypass the tympanic membrane (Gerhardt and Huber 2002) More research is needed
to determine the exact biophysical method of localization in vocalizing anurans
PACIFIC CHORUS FROG LIFE HISTORY
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They range from British
Columbia to Baja California and as far east as Montana (Jones et al 2005) The species
can be found in most still-water aquatic habitats below 10000 feet in elevation (Leonard
1993) They are prolonged breeders and will vocalize in dense choruses from very early
spring or late winter until late spring in a diversity of still-water habitat types While
adults are terrestrial breeding and development of this species is aquatic
Beginning in late winter male Pacific chorus frogs will move from their non-
breeding habitat (usually wooded areas) to still-water breeding habitats Males will then
vocalize not only to establish temporary territories but also to attract females to the
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
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Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
TABLE OF CONTENTS
Page
CHAPTER 1 - General introduction1
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication 8
ABSTRACT9
INTRODUCTION 10
METHODS 13
Field methods13
Data processing and analysis 15
Statistical analysis 17
Active communication space-time model17
RESULTS 18
Ambient noise levels18
Call structure 18
Active communication space-time19
DISCUSSION19
TABLES 25
CHAPTER 3 ndash Conclusions 35
LITERATURE CITED 39
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora 44
ABSTRACT45
INTRODUCTION 46
METHODS 47
Data collection 47
Data analysis 48
RESULTS 48
DISCUSSION49
ACKNOWLEDGEMENTS50
LITERATURE CITED 52
LIST OF FIGURES Figure Page
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson Frazier Year 2 all but Talking Water Gardens29
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road noise in overlapping bandwidth of frog call 30
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633 p lt 0005)31
Figure 4 confidence intervals of slope estimates for each parameter of interest 32
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate against noise level at each temperature (color-coded) 33
Figure 6 model of communication space-time for each site represented by the circles and their size as a factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in calls per minute34
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour period Blue line indicates temperature in degrees C54
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C 55
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls (lower panel) 56
LIST OF TABLES Table Page
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place) 25
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all recording sessions 26
Table 3 model statistics for call rate frequency duration and source level27
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate 28
DEDICATION
To two brilliant amazing women I lost when I was just starting my graduate school
career Courtney Wilson gone too soon and Phyllis Parizek my indomitable
grandmother I hope I have done you both justice
1
CHAPTER 1 - General introduction
SOUNDSCAPES
Soundscapes are defined as the collection of biological abiotic and
anthropogenic sounds that are an integral part of a landscape that change
spatiotemporally to reflect ecosystem processes (Pijanowski Farina et al 2011) Natural
soundscapes are generally a good indicator of ecosystem health (Sueur et al 2014)
provide information to organisms within them (Pijanowski Villanueva-Rivera et al
2011) and have cultural significance (Dumyahn and Pijanowski 2011a) Soundscape
ecology draws parallels to landscape ecology and biogeography and focuses on the
spatiotemporal patterns of sound at multiple scales the interactions of the three
components of a soundscape and soundscape monitoring and conservation (Pijanowski
Farina et al 2011) Comprehensive assessment of soundscapes should include input from
multiple other fields including spatial ecology psychoacoustics (human cognition and
perception of sound) acoustic ecology (classification and aesthetic value of ambient
sounds) and bioacoustics (Pijanowski Farina et al 2011)
ANIMAL ACOUSTIC COMMUNICATION
Bioacoustics is the study of animal acoustic communication and all that it entails
sound production and perception morphology evolution of sound production and
hearing and heterospecific interactions (Bradbury and Vehrencamp 2011) Soundscapes
can provide information across the entire community of organisms Intraspecific acoustic
communication is used by wildlife for many purposes for example alarm calls (Ridley et
al 2007) social interaction (Awbrey 1978) and attracting mates (Gerhardt and Huber
2002) It is used across a wide array of taxa including invertebrates and many classes of
vertebrates (Bradbury and Vehrencamp 2011) Additionally bioacoustics encompasses
inter-specific eavesdropping on other species communication (Ridley et al 2014) and
predator-prey interactions (Holderied et al 2011)
2
ANTHROPOGENIC NOISE IMPACTS
When a soundscape is altered in a way where anthropogenic noise overpowers
abiotic and biotic sounds information is lost Anthropogenic noise is generally
characterized as being low-frequency but broadband its energy is spread over a wide
range that overlaps with many of the frequencies used by species to communicate
acoustically (Barber et al 2010) The main sources of anthropogenic noise come from
transportation motor vehicles on roads airplanes and in the marine realm ships
(McGregor et al 2013) It can be either acute (like sirens from emergency vehicles) or
chronic (air traffic vehicle traffic) Due to widespread human encroachment through
roads and air traffic flyover chronic anthropogenic noise has been shown to be audible
even in places where humans are not frequently found and to be fairly consistent
temporally (Barber et al 2011)
At an individual level chronic anthropogenic noise can cause physiological
reactions that can have a direct impact on fitness and reproductive success These can
include hypertension stress and hearing loss (Barber et al 2010) Humans are not
exempt from this studies of children exposed to high levels of chronic anthropogenic
noise even levels below those found to cause hearing loss show elevated levels of stress
hormones and depressed quality-of-life indicators (Evans et al 1998) Responses in
wildlife are similar stress hormone levels are generally elevated in most taxa in chronic
high-noise environments (Barber et al 2010) In many species elevated stress hormone
levels can affect the fitness of individuals (Creel et al 2013) therefore noise can lead to
fitness impacts on individuals even before addressing the implications of reduced
conspecific communication Additionally there are many taxa that use vocalizations and
acoustic cues to forage or to escape from predation Bats have been shown to have
reduced foraging success near noisy roads due to an inability to hear the rustling sounds
of their prey which has direct impacts on their fitness (Siemers and A Schaub 2011)
At the population and community level the more insidious impact of
anthropogenic noise in an ecosystem is that of masking or the loss of communicated
information due to the interference of background noise Masking can impact the ability
of conspecifics to communicate information with each other which can have implications
for mating success group cohesion and other important social processes While many of
3
these implications have not been tested directly studies have shown in many taxa such as
marine mammals (Hatch et al 2012) birds (Slabbekoorn and Peet 2003) bats (Hage et
al 2013) and anurans (Wollerman and Wiley 2002) that communication is hindered by
high levels of anthropogenic noise With a reduction in the ability to perform such vital
tasks as attracting a mate through acoustic vocalization (Gerhardt and Huber 2002) there
may be population-level implications of increased anthropogenic noise species especially
in already-threatened species Animals can modify their vocalizations to counteract the
effects of masking with mixed effects Often these modifications can be energetically
costly (Barber et al 2010 Zollinger and Brumm 2011) It is unclear what trade-offs are
induced by this increased energetic cost but these may also provide additional pressure
on already stressed populations
Anthropogenic noise can also have community-level impacts that can shift the
species distributions and interactions within an ecosystem This can be in part due to the
population-level effects mentioned above however interactions such as
eavesdropping or the cueing in on information by an individual other than the intended
receiver (Ridley et al 2014) Goodale et al (2010) suggest that the sharing of
heterospecific information is one of the primary drivers in the formation and maintenance
of temporary or stable mixed-species groups and it may also help with habitat selection
in species These groups provide benefits to their members mixed-species groups may
provide different ways of perceiving information than single-species groups while
removing some of the competition pressure found in single-species groups For example
Ridley et al (2014) found that a species of bird (scimitarbills) would shift from foraging
in trees to ground foraging in the presence of another species of bird (pied babblers) that
produced alarm calls thereby changing the foraging pressure on ground vegetation and
invertebrates depending on the alarm call species There is also the theory of the
heterospecific attraction hypothesis which describes a situation where individuals choose
habitat patches based on the presence of resident heterospecific individuals (Moumlnkkoumlnen
et al 1999) This has been primarily studied in birds and has been proposed as a
mechanism allowing migrant birds to select high-quality habitat based on the presence of
residents who would necessarily have more time to assess habitat quality (Moumlnkkoumlnen et
al 1997) Song may be a far-reaching cue of resident presence which will affect the
4
development of a migratory bird community that depends on the presence of residents
Anthropogenic noise has the potential to mask any of this information exchange which
may alter community interactions
FROG COMMUNICATION
The impacts of anthropogenic noise are still widely unstudied in many taxa and
since different species have very different responses to noise it is important to quantify
these impacts in order to better understand how to conserve soundscapes and vocalizing
species Among these understudied taxa are the anurans or frogs and toads Of the class
Amphibia only anurans are known to vocalize (Gerhardt and Huber 2002) Vocalization
in this order is used primarily for breeding Males will produce calls that are used to
attract females to breeding ponds (Narins 2007) Additionally other calls are used to
mediate male-male interactions (Brenowitz and Rose 1994) release calls used by both
males and females in breeding situations (Sullivan and Wagner 1988) and territorial calls
(D Schaub and Larsen 1978) Vocalizations are often highly stereotyped and are innate
rather than learned (Narins 2007)
While frog vocalizations have been studied for many years (Gerhardt and Huber
2002) the impacts of noise on their communication are still relatively unclear While
some studies have been done (Lengagne 2008 Kaiser and Hammers 2009 Cunnington
and Fahrig 2012) the population and community level effects of anthropogenic noise on
anurans are unclear Given that many anurans vocalize in single- or multi-species
choruses there is the potential for dramatic shifts in energy expenditure population
structure and community dynamics if anuran vocalization is impacted by anthropogenic
noise
Amphibians (including anurans) are ectothermic their energy expenditures are at
least partially governed by the external temperature of their surroundings (Whitford
1973) In general lower external temperatures are associated with lower activity levels in
this class (Bennett 1978) This extends to vocalization as well which can be related to
temperature constraints (Wells et al 1996) While this is mediated by social context in
some species (Wong et al 2004) it is unclear how social context and temperature interact
across the order to influence aspects of call structure such as call rate Additionally given
5
the diverse evolutionary and developmental histories of amphibians the wide range of
habitat types in which they are found and the considerable vocal diversity displayed by
anurans generalization of conclusions from one species across others is unlikely to be
reasonable (Narins 2007) Instead a species-by-species approach is likely the best way to
determine vocal behavioral norms
Vocal production
The mechanism for production of calls in anurans involves passive vibration of
vocal membranes in the larynx through movement of air from the lungs into the mouth
and vocal sac which acts as a resonant structure used to amplify the call focus the
energy into the second harmonic and cause the signal to be omnidirectional (Gridi-Papp
2014) Dominant frequency is tied to body size in many species of frog and there is some
evidence of frequency plasticity in some species of frog in response to modified
conspecific vocalization (Lopez et al 1988) however it is unclear how universal this is
given the diversity of vocal anuran species and the differing rates of evolution of anuran
vocalization among species (Cocroft and Ryan 1995) As the vocal mechanism is passive
this frequency adjustment is likely achieved through manipulation of the pressures before
and after the larynx and is likely to be energetically costly to change (Gridi-Papp 2014)
Anurans will more readily change the temporal aspects (call rate call duration) of
their calls (Bee and Schwartz 2013) Often call rate and call duration are inversely related
(Bee and Schwartz 2013) so longer calls will be produced less often than shorter calls for
a given species Call rate will increase with increasing temperature as energy levels will
increase at higher temperatures (Wells et al 1996) Frogs will also cease calling after a
disturbance andor alter their timing of calling to take advantage of natural lulls in chorus
noise (Sun and Narins 2005 Velez and Bee 2011) Additionally call rate can be
increased with proximity of other frogs as calling individuals either attempt to attract the
frog (if it is female) or warn it away (if it is another male) (Allan 1973)
Hearing and perception
Hearing in many species of anuran (but not all) occurs when a sound vibrates the
external tympanic membrane located on the side of the head (Mason 2007) From there
vibrations of the tympanic membrane vibrate in turn the stapes which transmits sound
through the oval window to the inner ear The inner ear in amphibians is comprised of
6
two specialized mechanisms the amphibian papilla and the basilar papilla These two
structures are tuned to different frequency ranges the amphibian papilla specializes in
low-frequency sounds and the basilar papilla is more sensitive to higher frequency
ranges (Gerhardt and Bee 2007) Additionally the amphibian papilla frequency range can
be influenced by the external ambient temperature (Lewis and Narins 1999) Hearing in
anurans is thought to be related to the frequency range in which conspecific vocalization
occurs (Gerhardt and Huber 2002) although there are species which can perceive
frequencies outside of that range (Simmons and Moss 1985) However this cannot be
generalized across all species
Localization of conspecific calls in higher vertebrates is dependent on the
difference in arrival time between the two ears which in turn is dependent on the
frequency of the sound being small enough to not exceed the dimensions of the
perceiverrsquos head (Gerhardt and Bee 2007) In anurans this process is considerably more
difficult given the generally small binaural width The exact biophysical process by
which anurans are able to localize conspecific callers is unknown however it is
hypothesized that localization involves some method of pressure differentiation andor
extratympanic input ie the sound may come to the inner ear through multiple pathways
that bypass the tympanic membrane (Gerhardt and Huber 2002) More research is needed
to determine the exact biophysical method of localization in vocalizing anurans
PACIFIC CHORUS FROG LIFE HISTORY
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They range from British
Columbia to Baja California and as far east as Montana (Jones et al 2005) The species
can be found in most still-water aquatic habitats below 10000 feet in elevation (Leonard
1993) They are prolonged breeders and will vocalize in dense choruses from very early
spring or late winter until late spring in a diversity of still-water habitat types While
adults are terrestrial breeding and development of this species is aquatic
Beginning in late winter male Pacific chorus frogs will move from their non-
breeding habitat (usually wooded areas) to still-water breeding habitats Males will then
vocalize not only to establish temporary territories but also to attract females to the
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
LITERATURE CITED
Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
DISCUSSION49
ACKNOWLEDGEMENTS50
LITERATURE CITED 52
LIST OF FIGURES Figure Page
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson Frazier Year 2 all but Talking Water Gardens29
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road noise in overlapping bandwidth of frog call 30
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633 p lt 0005)31
Figure 4 confidence intervals of slope estimates for each parameter of interest 32
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate against noise level at each temperature (color-coded) 33
Figure 6 model of communication space-time for each site represented by the circles and their size as a factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in calls per minute34
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour period Blue line indicates temperature in degrees C54
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C 55
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls (lower panel) 56
LIST OF TABLES Table Page
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place) 25
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all recording sessions 26
Table 3 model statistics for call rate frequency duration and source level27
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate 28
DEDICATION
To two brilliant amazing women I lost when I was just starting my graduate school
career Courtney Wilson gone too soon and Phyllis Parizek my indomitable
grandmother I hope I have done you both justice
1
CHAPTER 1 - General introduction
SOUNDSCAPES
Soundscapes are defined as the collection of biological abiotic and
anthropogenic sounds that are an integral part of a landscape that change
spatiotemporally to reflect ecosystem processes (Pijanowski Farina et al 2011) Natural
soundscapes are generally a good indicator of ecosystem health (Sueur et al 2014)
provide information to organisms within them (Pijanowski Villanueva-Rivera et al
2011) and have cultural significance (Dumyahn and Pijanowski 2011a) Soundscape
ecology draws parallels to landscape ecology and biogeography and focuses on the
spatiotemporal patterns of sound at multiple scales the interactions of the three
components of a soundscape and soundscape monitoring and conservation (Pijanowski
Farina et al 2011) Comprehensive assessment of soundscapes should include input from
multiple other fields including spatial ecology psychoacoustics (human cognition and
perception of sound) acoustic ecology (classification and aesthetic value of ambient
sounds) and bioacoustics (Pijanowski Farina et al 2011)
ANIMAL ACOUSTIC COMMUNICATION
Bioacoustics is the study of animal acoustic communication and all that it entails
sound production and perception morphology evolution of sound production and
hearing and heterospecific interactions (Bradbury and Vehrencamp 2011) Soundscapes
can provide information across the entire community of organisms Intraspecific acoustic
communication is used by wildlife for many purposes for example alarm calls (Ridley et
al 2007) social interaction (Awbrey 1978) and attracting mates (Gerhardt and Huber
2002) It is used across a wide array of taxa including invertebrates and many classes of
vertebrates (Bradbury and Vehrencamp 2011) Additionally bioacoustics encompasses
inter-specific eavesdropping on other species communication (Ridley et al 2014) and
predator-prey interactions (Holderied et al 2011)
2
ANTHROPOGENIC NOISE IMPACTS
When a soundscape is altered in a way where anthropogenic noise overpowers
abiotic and biotic sounds information is lost Anthropogenic noise is generally
characterized as being low-frequency but broadband its energy is spread over a wide
range that overlaps with many of the frequencies used by species to communicate
acoustically (Barber et al 2010) The main sources of anthropogenic noise come from
transportation motor vehicles on roads airplanes and in the marine realm ships
(McGregor et al 2013) It can be either acute (like sirens from emergency vehicles) or
chronic (air traffic vehicle traffic) Due to widespread human encroachment through
roads and air traffic flyover chronic anthropogenic noise has been shown to be audible
even in places where humans are not frequently found and to be fairly consistent
temporally (Barber et al 2011)
At an individual level chronic anthropogenic noise can cause physiological
reactions that can have a direct impact on fitness and reproductive success These can
include hypertension stress and hearing loss (Barber et al 2010) Humans are not
exempt from this studies of children exposed to high levels of chronic anthropogenic
noise even levels below those found to cause hearing loss show elevated levels of stress
hormones and depressed quality-of-life indicators (Evans et al 1998) Responses in
wildlife are similar stress hormone levels are generally elevated in most taxa in chronic
high-noise environments (Barber et al 2010) In many species elevated stress hormone
levels can affect the fitness of individuals (Creel et al 2013) therefore noise can lead to
fitness impacts on individuals even before addressing the implications of reduced
conspecific communication Additionally there are many taxa that use vocalizations and
acoustic cues to forage or to escape from predation Bats have been shown to have
reduced foraging success near noisy roads due to an inability to hear the rustling sounds
of their prey which has direct impacts on their fitness (Siemers and A Schaub 2011)
At the population and community level the more insidious impact of
anthropogenic noise in an ecosystem is that of masking or the loss of communicated
information due to the interference of background noise Masking can impact the ability
of conspecifics to communicate information with each other which can have implications
for mating success group cohesion and other important social processes While many of
3
these implications have not been tested directly studies have shown in many taxa such as
marine mammals (Hatch et al 2012) birds (Slabbekoorn and Peet 2003) bats (Hage et
al 2013) and anurans (Wollerman and Wiley 2002) that communication is hindered by
high levels of anthropogenic noise With a reduction in the ability to perform such vital
tasks as attracting a mate through acoustic vocalization (Gerhardt and Huber 2002) there
may be population-level implications of increased anthropogenic noise species especially
in already-threatened species Animals can modify their vocalizations to counteract the
effects of masking with mixed effects Often these modifications can be energetically
costly (Barber et al 2010 Zollinger and Brumm 2011) It is unclear what trade-offs are
induced by this increased energetic cost but these may also provide additional pressure
on already stressed populations
Anthropogenic noise can also have community-level impacts that can shift the
species distributions and interactions within an ecosystem This can be in part due to the
population-level effects mentioned above however interactions such as
eavesdropping or the cueing in on information by an individual other than the intended
receiver (Ridley et al 2014) Goodale et al (2010) suggest that the sharing of
heterospecific information is one of the primary drivers in the formation and maintenance
of temporary or stable mixed-species groups and it may also help with habitat selection
in species These groups provide benefits to their members mixed-species groups may
provide different ways of perceiving information than single-species groups while
removing some of the competition pressure found in single-species groups For example
Ridley et al (2014) found that a species of bird (scimitarbills) would shift from foraging
in trees to ground foraging in the presence of another species of bird (pied babblers) that
produced alarm calls thereby changing the foraging pressure on ground vegetation and
invertebrates depending on the alarm call species There is also the theory of the
heterospecific attraction hypothesis which describes a situation where individuals choose
habitat patches based on the presence of resident heterospecific individuals (Moumlnkkoumlnen
et al 1999) This has been primarily studied in birds and has been proposed as a
mechanism allowing migrant birds to select high-quality habitat based on the presence of
residents who would necessarily have more time to assess habitat quality (Moumlnkkoumlnen et
al 1997) Song may be a far-reaching cue of resident presence which will affect the
4
development of a migratory bird community that depends on the presence of residents
Anthropogenic noise has the potential to mask any of this information exchange which
may alter community interactions
FROG COMMUNICATION
The impacts of anthropogenic noise are still widely unstudied in many taxa and
since different species have very different responses to noise it is important to quantify
these impacts in order to better understand how to conserve soundscapes and vocalizing
species Among these understudied taxa are the anurans or frogs and toads Of the class
Amphibia only anurans are known to vocalize (Gerhardt and Huber 2002) Vocalization
in this order is used primarily for breeding Males will produce calls that are used to
attract females to breeding ponds (Narins 2007) Additionally other calls are used to
mediate male-male interactions (Brenowitz and Rose 1994) release calls used by both
males and females in breeding situations (Sullivan and Wagner 1988) and territorial calls
(D Schaub and Larsen 1978) Vocalizations are often highly stereotyped and are innate
rather than learned (Narins 2007)
While frog vocalizations have been studied for many years (Gerhardt and Huber
2002) the impacts of noise on their communication are still relatively unclear While
some studies have been done (Lengagne 2008 Kaiser and Hammers 2009 Cunnington
and Fahrig 2012) the population and community level effects of anthropogenic noise on
anurans are unclear Given that many anurans vocalize in single- or multi-species
choruses there is the potential for dramatic shifts in energy expenditure population
structure and community dynamics if anuran vocalization is impacted by anthropogenic
noise
Amphibians (including anurans) are ectothermic their energy expenditures are at
least partially governed by the external temperature of their surroundings (Whitford
1973) In general lower external temperatures are associated with lower activity levels in
this class (Bennett 1978) This extends to vocalization as well which can be related to
temperature constraints (Wells et al 1996) While this is mediated by social context in
some species (Wong et al 2004) it is unclear how social context and temperature interact
across the order to influence aspects of call structure such as call rate Additionally given
5
the diverse evolutionary and developmental histories of amphibians the wide range of
habitat types in which they are found and the considerable vocal diversity displayed by
anurans generalization of conclusions from one species across others is unlikely to be
reasonable (Narins 2007) Instead a species-by-species approach is likely the best way to
determine vocal behavioral norms
Vocal production
The mechanism for production of calls in anurans involves passive vibration of
vocal membranes in the larynx through movement of air from the lungs into the mouth
and vocal sac which acts as a resonant structure used to amplify the call focus the
energy into the second harmonic and cause the signal to be omnidirectional (Gridi-Papp
2014) Dominant frequency is tied to body size in many species of frog and there is some
evidence of frequency plasticity in some species of frog in response to modified
conspecific vocalization (Lopez et al 1988) however it is unclear how universal this is
given the diversity of vocal anuran species and the differing rates of evolution of anuran
vocalization among species (Cocroft and Ryan 1995) As the vocal mechanism is passive
this frequency adjustment is likely achieved through manipulation of the pressures before
and after the larynx and is likely to be energetically costly to change (Gridi-Papp 2014)
Anurans will more readily change the temporal aspects (call rate call duration) of
their calls (Bee and Schwartz 2013) Often call rate and call duration are inversely related
(Bee and Schwartz 2013) so longer calls will be produced less often than shorter calls for
a given species Call rate will increase with increasing temperature as energy levels will
increase at higher temperatures (Wells et al 1996) Frogs will also cease calling after a
disturbance andor alter their timing of calling to take advantage of natural lulls in chorus
noise (Sun and Narins 2005 Velez and Bee 2011) Additionally call rate can be
increased with proximity of other frogs as calling individuals either attempt to attract the
frog (if it is female) or warn it away (if it is another male) (Allan 1973)
Hearing and perception
Hearing in many species of anuran (but not all) occurs when a sound vibrates the
external tympanic membrane located on the side of the head (Mason 2007) From there
vibrations of the tympanic membrane vibrate in turn the stapes which transmits sound
through the oval window to the inner ear The inner ear in amphibians is comprised of
6
two specialized mechanisms the amphibian papilla and the basilar papilla These two
structures are tuned to different frequency ranges the amphibian papilla specializes in
low-frequency sounds and the basilar papilla is more sensitive to higher frequency
ranges (Gerhardt and Bee 2007) Additionally the amphibian papilla frequency range can
be influenced by the external ambient temperature (Lewis and Narins 1999) Hearing in
anurans is thought to be related to the frequency range in which conspecific vocalization
occurs (Gerhardt and Huber 2002) although there are species which can perceive
frequencies outside of that range (Simmons and Moss 1985) However this cannot be
generalized across all species
Localization of conspecific calls in higher vertebrates is dependent on the
difference in arrival time between the two ears which in turn is dependent on the
frequency of the sound being small enough to not exceed the dimensions of the
perceiverrsquos head (Gerhardt and Bee 2007) In anurans this process is considerably more
difficult given the generally small binaural width The exact biophysical process by
which anurans are able to localize conspecific callers is unknown however it is
hypothesized that localization involves some method of pressure differentiation andor
extratympanic input ie the sound may come to the inner ear through multiple pathways
that bypass the tympanic membrane (Gerhardt and Huber 2002) More research is needed
to determine the exact biophysical method of localization in vocalizing anurans
PACIFIC CHORUS FROG LIFE HISTORY
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They range from British
Columbia to Baja California and as far east as Montana (Jones et al 2005) The species
can be found in most still-water aquatic habitats below 10000 feet in elevation (Leonard
1993) They are prolonged breeders and will vocalize in dense choruses from very early
spring or late winter until late spring in a diversity of still-water habitat types While
adults are terrestrial breeding and development of this species is aquatic
Beginning in late winter male Pacific chorus frogs will move from their non-
breeding habitat (usually wooded areas) to still-water breeding habitats Males will then
vocalize not only to establish temporary territories but also to attract females to the
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
LITERATURE CITED
Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
LIST OF FIGURES Figure Page
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson Frazier Year 2 all but Talking Water Gardens29
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road noise in overlapping bandwidth of frog call 30
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633 p lt 0005)31
Figure 4 confidence intervals of slope estimates for each parameter of interest 32
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate against noise level at each temperature (color-coded) 33
Figure 6 model of communication space-time for each site represented by the circles and their size as a factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in calls per minute34
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour period Blue line indicates temperature in degrees C54
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C 55
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls (lower panel) 56
LIST OF TABLES Table Page
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place) 25
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all recording sessions 26
Table 3 model statistics for call rate frequency duration and source level27
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate 28
DEDICATION
To two brilliant amazing women I lost when I was just starting my graduate school
career Courtney Wilson gone too soon and Phyllis Parizek my indomitable
grandmother I hope I have done you both justice
1
CHAPTER 1 - General introduction
SOUNDSCAPES
Soundscapes are defined as the collection of biological abiotic and
anthropogenic sounds that are an integral part of a landscape that change
spatiotemporally to reflect ecosystem processes (Pijanowski Farina et al 2011) Natural
soundscapes are generally a good indicator of ecosystem health (Sueur et al 2014)
provide information to organisms within them (Pijanowski Villanueva-Rivera et al
2011) and have cultural significance (Dumyahn and Pijanowski 2011a) Soundscape
ecology draws parallels to landscape ecology and biogeography and focuses on the
spatiotemporal patterns of sound at multiple scales the interactions of the three
components of a soundscape and soundscape monitoring and conservation (Pijanowski
Farina et al 2011) Comprehensive assessment of soundscapes should include input from
multiple other fields including spatial ecology psychoacoustics (human cognition and
perception of sound) acoustic ecology (classification and aesthetic value of ambient
sounds) and bioacoustics (Pijanowski Farina et al 2011)
ANIMAL ACOUSTIC COMMUNICATION
Bioacoustics is the study of animal acoustic communication and all that it entails
sound production and perception morphology evolution of sound production and
hearing and heterospecific interactions (Bradbury and Vehrencamp 2011) Soundscapes
can provide information across the entire community of organisms Intraspecific acoustic
communication is used by wildlife for many purposes for example alarm calls (Ridley et
al 2007) social interaction (Awbrey 1978) and attracting mates (Gerhardt and Huber
2002) It is used across a wide array of taxa including invertebrates and many classes of
vertebrates (Bradbury and Vehrencamp 2011) Additionally bioacoustics encompasses
inter-specific eavesdropping on other species communication (Ridley et al 2014) and
predator-prey interactions (Holderied et al 2011)
2
ANTHROPOGENIC NOISE IMPACTS
When a soundscape is altered in a way where anthropogenic noise overpowers
abiotic and biotic sounds information is lost Anthropogenic noise is generally
characterized as being low-frequency but broadband its energy is spread over a wide
range that overlaps with many of the frequencies used by species to communicate
acoustically (Barber et al 2010) The main sources of anthropogenic noise come from
transportation motor vehicles on roads airplanes and in the marine realm ships
(McGregor et al 2013) It can be either acute (like sirens from emergency vehicles) or
chronic (air traffic vehicle traffic) Due to widespread human encroachment through
roads and air traffic flyover chronic anthropogenic noise has been shown to be audible
even in places where humans are not frequently found and to be fairly consistent
temporally (Barber et al 2011)
At an individual level chronic anthropogenic noise can cause physiological
reactions that can have a direct impact on fitness and reproductive success These can
include hypertension stress and hearing loss (Barber et al 2010) Humans are not
exempt from this studies of children exposed to high levels of chronic anthropogenic
noise even levels below those found to cause hearing loss show elevated levels of stress
hormones and depressed quality-of-life indicators (Evans et al 1998) Responses in
wildlife are similar stress hormone levels are generally elevated in most taxa in chronic
high-noise environments (Barber et al 2010) In many species elevated stress hormone
levels can affect the fitness of individuals (Creel et al 2013) therefore noise can lead to
fitness impacts on individuals even before addressing the implications of reduced
conspecific communication Additionally there are many taxa that use vocalizations and
acoustic cues to forage or to escape from predation Bats have been shown to have
reduced foraging success near noisy roads due to an inability to hear the rustling sounds
of their prey which has direct impacts on their fitness (Siemers and A Schaub 2011)
At the population and community level the more insidious impact of
anthropogenic noise in an ecosystem is that of masking or the loss of communicated
information due to the interference of background noise Masking can impact the ability
of conspecifics to communicate information with each other which can have implications
for mating success group cohesion and other important social processes While many of
3
these implications have not been tested directly studies have shown in many taxa such as
marine mammals (Hatch et al 2012) birds (Slabbekoorn and Peet 2003) bats (Hage et
al 2013) and anurans (Wollerman and Wiley 2002) that communication is hindered by
high levels of anthropogenic noise With a reduction in the ability to perform such vital
tasks as attracting a mate through acoustic vocalization (Gerhardt and Huber 2002) there
may be population-level implications of increased anthropogenic noise species especially
in already-threatened species Animals can modify their vocalizations to counteract the
effects of masking with mixed effects Often these modifications can be energetically
costly (Barber et al 2010 Zollinger and Brumm 2011) It is unclear what trade-offs are
induced by this increased energetic cost but these may also provide additional pressure
on already stressed populations
Anthropogenic noise can also have community-level impacts that can shift the
species distributions and interactions within an ecosystem This can be in part due to the
population-level effects mentioned above however interactions such as
eavesdropping or the cueing in on information by an individual other than the intended
receiver (Ridley et al 2014) Goodale et al (2010) suggest that the sharing of
heterospecific information is one of the primary drivers in the formation and maintenance
of temporary or stable mixed-species groups and it may also help with habitat selection
in species These groups provide benefits to their members mixed-species groups may
provide different ways of perceiving information than single-species groups while
removing some of the competition pressure found in single-species groups For example
Ridley et al (2014) found that a species of bird (scimitarbills) would shift from foraging
in trees to ground foraging in the presence of another species of bird (pied babblers) that
produced alarm calls thereby changing the foraging pressure on ground vegetation and
invertebrates depending on the alarm call species There is also the theory of the
heterospecific attraction hypothesis which describes a situation where individuals choose
habitat patches based on the presence of resident heterospecific individuals (Moumlnkkoumlnen
et al 1999) This has been primarily studied in birds and has been proposed as a
mechanism allowing migrant birds to select high-quality habitat based on the presence of
residents who would necessarily have more time to assess habitat quality (Moumlnkkoumlnen et
al 1997) Song may be a far-reaching cue of resident presence which will affect the
4
development of a migratory bird community that depends on the presence of residents
Anthropogenic noise has the potential to mask any of this information exchange which
may alter community interactions
FROG COMMUNICATION
The impacts of anthropogenic noise are still widely unstudied in many taxa and
since different species have very different responses to noise it is important to quantify
these impacts in order to better understand how to conserve soundscapes and vocalizing
species Among these understudied taxa are the anurans or frogs and toads Of the class
Amphibia only anurans are known to vocalize (Gerhardt and Huber 2002) Vocalization
in this order is used primarily for breeding Males will produce calls that are used to
attract females to breeding ponds (Narins 2007) Additionally other calls are used to
mediate male-male interactions (Brenowitz and Rose 1994) release calls used by both
males and females in breeding situations (Sullivan and Wagner 1988) and territorial calls
(D Schaub and Larsen 1978) Vocalizations are often highly stereotyped and are innate
rather than learned (Narins 2007)
While frog vocalizations have been studied for many years (Gerhardt and Huber
2002) the impacts of noise on their communication are still relatively unclear While
some studies have been done (Lengagne 2008 Kaiser and Hammers 2009 Cunnington
and Fahrig 2012) the population and community level effects of anthropogenic noise on
anurans are unclear Given that many anurans vocalize in single- or multi-species
choruses there is the potential for dramatic shifts in energy expenditure population
structure and community dynamics if anuran vocalization is impacted by anthropogenic
noise
Amphibians (including anurans) are ectothermic their energy expenditures are at
least partially governed by the external temperature of their surroundings (Whitford
1973) In general lower external temperatures are associated with lower activity levels in
this class (Bennett 1978) This extends to vocalization as well which can be related to
temperature constraints (Wells et al 1996) While this is mediated by social context in
some species (Wong et al 2004) it is unclear how social context and temperature interact
across the order to influence aspects of call structure such as call rate Additionally given
5
the diverse evolutionary and developmental histories of amphibians the wide range of
habitat types in which they are found and the considerable vocal diversity displayed by
anurans generalization of conclusions from one species across others is unlikely to be
reasonable (Narins 2007) Instead a species-by-species approach is likely the best way to
determine vocal behavioral norms
Vocal production
The mechanism for production of calls in anurans involves passive vibration of
vocal membranes in the larynx through movement of air from the lungs into the mouth
and vocal sac which acts as a resonant structure used to amplify the call focus the
energy into the second harmonic and cause the signal to be omnidirectional (Gridi-Papp
2014) Dominant frequency is tied to body size in many species of frog and there is some
evidence of frequency plasticity in some species of frog in response to modified
conspecific vocalization (Lopez et al 1988) however it is unclear how universal this is
given the diversity of vocal anuran species and the differing rates of evolution of anuran
vocalization among species (Cocroft and Ryan 1995) As the vocal mechanism is passive
this frequency adjustment is likely achieved through manipulation of the pressures before
and after the larynx and is likely to be energetically costly to change (Gridi-Papp 2014)
Anurans will more readily change the temporal aspects (call rate call duration) of
their calls (Bee and Schwartz 2013) Often call rate and call duration are inversely related
(Bee and Schwartz 2013) so longer calls will be produced less often than shorter calls for
a given species Call rate will increase with increasing temperature as energy levels will
increase at higher temperatures (Wells et al 1996) Frogs will also cease calling after a
disturbance andor alter their timing of calling to take advantage of natural lulls in chorus
noise (Sun and Narins 2005 Velez and Bee 2011) Additionally call rate can be
increased with proximity of other frogs as calling individuals either attempt to attract the
frog (if it is female) or warn it away (if it is another male) (Allan 1973)
Hearing and perception
Hearing in many species of anuran (but not all) occurs when a sound vibrates the
external tympanic membrane located on the side of the head (Mason 2007) From there
vibrations of the tympanic membrane vibrate in turn the stapes which transmits sound
through the oval window to the inner ear The inner ear in amphibians is comprised of
6
two specialized mechanisms the amphibian papilla and the basilar papilla These two
structures are tuned to different frequency ranges the amphibian papilla specializes in
low-frequency sounds and the basilar papilla is more sensitive to higher frequency
ranges (Gerhardt and Bee 2007) Additionally the amphibian papilla frequency range can
be influenced by the external ambient temperature (Lewis and Narins 1999) Hearing in
anurans is thought to be related to the frequency range in which conspecific vocalization
occurs (Gerhardt and Huber 2002) although there are species which can perceive
frequencies outside of that range (Simmons and Moss 1985) However this cannot be
generalized across all species
Localization of conspecific calls in higher vertebrates is dependent on the
difference in arrival time between the two ears which in turn is dependent on the
frequency of the sound being small enough to not exceed the dimensions of the
perceiverrsquos head (Gerhardt and Bee 2007) In anurans this process is considerably more
difficult given the generally small binaural width The exact biophysical process by
which anurans are able to localize conspecific callers is unknown however it is
hypothesized that localization involves some method of pressure differentiation andor
extratympanic input ie the sound may come to the inner ear through multiple pathways
that bypass the tympanic membrane (Gerhardt and Huber 2002) More research is needed
to determine the exact biophysical method of localization in vocalizing anurans
PACIFIC CHORUS FROG LIFE HISTORY
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They range from British
Columbia to Baja California and as far east as Montana (Jones et al 2005) The species
can be found in most still-water aquatic habitats below 10000 feet in elevation (Leonard
1993) They are prolonged breeders and will vocalize in dense choruses from very early
spring or late winter until late spring in a diversity of still-water habitat types While
adults are terrestrial breeding and development of this species is aquatic
Beginning in late winter male Pacific chorus frogs will move from their non-
breeding habitat (usually wooded areas) to still-water breeding habitats Males will then
vocalize not only to establish temporary territories but also to attract females to the
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
LITERATURE CITED
Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
LIST OF TABLES Table Page
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place) 25
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all recording sessions 26
Table 3 model statistics for call rate frequency duration and source level27
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate 28
DEDICATION
To two brilliant amazing women I lost when I was just starting my graduate school
career Courtney Wilson gone too soon and Phyllis Parizek my indomitable
grandmother I hope I have done you both justice
1
CHAPTER 1 - General introduction
SOUNDSCAPES
Soundscapes are defined as the collection of biological abiotic and
anthropogenic sounds that are an integral part of a landscape that change
spatiotemporally to reflect ecosystem processes (Pijanowski Farina et al 2011) Natural
soundscapes are generally a good indicator of ecosystem health (Sueur et al 2014)
provide information to organisms within them (Pijanowski Villanueva-Rivera et al
2011) and have cultural significance (Dumyahn and Pijanowski 2011a) Soundscape
ecology draws parallels to landscape ecology and biogeography and focuses on the
spatiotemporal patterns of sound at multiple scales the interactions of the three
components of a soundscape and soundscape monitoring and conservation (Pijanowski
Farina et al 2011) Comprehensive assessment of soundscapes should include input from
multiple other fields including spatial ecology psychoacoustics (human cognition and
perception of sound) acoustic ecology (classification and aesthetic value of ambient
sounds) and bioacoustics (Pijanowski Farina et al 2011)
ANIMAL ACOUSTIC COMMUNICATION
Bioacoustics is the study of animal acoustic communication and all that it entails
sound production and perception morphology evolution of sound production and
hearing and heterospecific interactions (Bradbury and Vehrencamp 2011) Soundscapes
can provide information across the entire community of organisms Intraspecific acoustic
communication is used by wildlife for many purposes for example alarm calls (Ridley et
al 2007) social interaction (Awbrey 1978) and attracting mates (Gerhardt and Huber
2002) It is used across a wide array of taxa including invertebrates and many classes of
vertebrates (Bradbury and Vehrencamp 2011) Additionally bioacoustics encompasses
inter-specific eavesdropping on other species communication (Ridley et al 2014) and
predator-prey interactions (Holderied et al 2011)
2
ANTHROPOGENIC NOISE IMPACTS
When a soundscape is altered in a way where anthropogenic noise overpowers
abiotic and biotic sounds information is lost Anthropogenic noise is generally
characterized as being low-frequency but broadband its energy is spread over a wide
range that overlaps with many of the frequencies used by species to communicate
acoustically (Barber et al 2010) The main sources of anthropogenic noise come from
transportation motor vehicles on roads airplanes and in the marine realm ships
(McGregor et al 2013) It can be either acute (like sirens from emergency vehicles) or
chronic (air traffic vehicle traffic) Due to widespread human encroachment through
roads and air traffic flyover chronic anthropogenic noise has been shown to be audible
even in places where humans are not frequently found and to be fairly consistent
temporally (Barber et al 2011)
At an individual level chronic anthropogenic noise can cause physiological
reactions that can have a direct impact on fitness and reproductive success These can
include hypertension stress and hearing loss (Barber et al 2010) Humans are not
exempt from this studies of children exposed to high levels of chronic anthropogenic
noise even levels below those found to cause hearing loss show elevated levels of stress
hormones and depressed quality-of-life indicators (Evans et al 1998) Responses in
wildlife are similar stress hormone levels are generally elevated in most taxa in chronic
high-noise environments (Barber et al 2010) In many species elevated stress hormone
levels can affect the fitness of individuals (Creel et al 2013) therefore noise can lead to
fitness impacts on individuals even before addressing the implications of reduced
conspecific communication Additionally there are many taxa that use vocalizations and
acoustic cues to forage or to escape from predation Bats have been shown to have
reduced foraging success near noisy roads due to an inability to hear the rustling sounds
of their prey which has direct impacts on their fitness (Siemers and A Schaub 2011)
At the population and community level the more insidious impact of
anthropogenic noise in an ecosystem is that of masking or the loss of communicated
information due to the interference of background noise Masking can impact the ability
of conspecifics to communicate information with each other which can have implications
for mating success group cohesion and other important social processes While many of
3
these implications have not been tested directly studies have shown in many taxa such as
marine mammals (Hatch et al 2012) birds (Slabbekoorn and Peet 2003) bats (Hage et
al 2013) and anurans (Wollerman and Wiley 2002) that communication is hindered by
high levels of anthropogenic noise With a reduction in the ability to perform such vital
tasks as attracting a mate through acoustic vocalization (Gerhardt and Huber 2002) there
may be population-level implications of increased anthropogenic noise species especially
in already-threatened species Animals can modify their vocalizations to counteract the
effects of masking with mixed effects Often these modifications can be energetically
costly (Barber et al 2010 Zollinger and Brumm 2011) It is unclear what trade-offs are
induced by this increased energetic cost but these may also provide additional pressure
on already stressed populations
Anthropogenic noise can also have community-level impacts that can shift the
species distributions and interactions within an ecosystem This can be in part due to the
population-level effects mentioned above however interactions such as
eavesdropping or the cueing in on information by an individual other than the intended
receiver (Ridley et al 2014) Goodale et al (2010) suggest that the sharing of
heterospecific information is one of the primary drivers in the formation and maintenance
of temporary or stable mixed-species groups and it may also help with habitat selection
in species These groups provide benefits to their members mixed-species groups may
provide different ways of perceiving information than single-species groups while
removing some of the competition pressure found in single-species groups For example
Ridley et al (2014) found that a species of bird (scimitarbills) would shift from foraging
in trees to ground foraging in the presence of another species of bird (pied babblers) that
produced alarm calls thereby changing the foraging pressure on ground vegetation and
invertebrates depending on the alarm call species There is also the theory of the
heterospecific attraction hypothesis which describes a situation where individuals choose
habitat patches based on the presence of resident heterospecific individuals (Moumlnkkoumlnen
et al 1999) This has been primarily studied in birds and has been proposed as a
mechanism allowing migrant birds to select high-quality habitat based on the presence of
residents who would necessarily have more time to assess habitat quality (Moumlnkkoumlnen et
al 1997) Song may be a far-reaching cue of resident presence which will affect the
4
development of a migratory bird community that depends on the presence of residents
Anthropogenic noise has the potential to mask any of this information exchange which
may alter community interactions
FROG COMMUNICATION
The impacts of anthropogenic noise are still widely unstudied in many taxa and
since different species have very different responses to noise it is important to quantify
these impacts in order to better understand how to conserve soundscapes and vocalizing
species Among these understudied taxa are the anurans or frogs and toads Of the class
Amphibia only anurans are known to vocalize (Gerhardt and Huber 2002) Vocalization
in this order is used primarily for breeding Males will produce calls that are used to
attract females to breeding ponds (Narins 2007) Additionally other calls are used to
mediate male-male interactions (Brenowitz and Rose 1994) release calls used by both
males and females in breeding situations (Sullivan and Wagner 1988) and territorial calls
(D Schaub and Larsen 1978) Vocalizations are often highly stereotyped and are innate
rather than learned (Narins 2007)
While frog vocalizations have been studied for many years (Gerhardt and Huber
2002) the impacts of noise on their communication are still relatively unclear While
some studies have been done (Lengagne 2008 Kaiser and Hammers 2009 Cunnington
and Fahrig 2012) the population and community level effects of anthropogenic noise on
anurans are unclear Given that many anurans vocalize in single- or multi-species
choruses there is the potential for dramatic shifts in energy expenditure population
structure and community dynamics if anuran vocalization is impacted by anthropogenic
noise
Amphibians (including anurans) are ectothermic their energy expenditures are at
least partially governed by the external temperature of their surroundings (Whitford
1973) In general lower external temperatures are associated with lower activity levels in
this class (Bennett 1978) This extends to vocalization as well which can be related to
temperature constraints (Wells et al 1996) While this is mediated by social context in
some species (Wong et al 2004) it is unclear how social context and temperature interact
across the order to influence aspects of call structure such as call rate Additionally given
5
the diverse evolutionary and developmental histories of amphibians the wide range of
habitat types in which they are found and the considerable vocal diversity displayed by
anurans generalization of conclusions from one species across others is unlikely to be
reasonable (Narins 2007) Instead a species-by-species approach is likely the best way to
determine vocal behavioral norms
Vocal production
The mechanism for production of calls in anurans involves passive vibration of
vocal membranes in the larynx through movement of air from the lungs into the mouth
and vocal sac which acts as a resonant structure used to amplify the call focus the
energy into the second harmonic and cause the signal to be omnidirectional (Gridi-Papp
2014) Dominant frequency is tied to body size in many species of frog and there is some
evidence of frequency plasticity in some species of frog in response to modified
conspecific vocalization (Lopez et al 1988) however it is unclear how universal this is
given the diversity of vocal anuran species and the differing rates of evolution of anuran
vocalization among species (Cocroft and Ryan 1995) As the vocal mechanism is passive
this frequency adjustment is likely achieved through manipulation of the pressures before
and after the larynx and is likely to be energetically costly to change (Gridi-Papp 2014)
Anurans will more readily change the temporal aspects (call rate call duration) of
their calls (Bee and Schwartz 2013) Often call rate and call duration are inversely related
(Bee and Schwartz 2013) so longer calls will be produced less often than shorter calls for
a given species Call rate will increase with increasing temperature as energy levels will
increase at higher temperatures (Wells et al 1996) Frogs will also cease calling after a
disturbance andor alter their timing of calling to take advantage of natural lulls in chorus
noise (Sun and Narins 2005 Velez and Bee 2011) Additionally call rate can be
increased with proximity of other frogs as calling individuals either attempt to attract the
frog (if it is female) or warn it away (if it is another male) (Allan 1973)
Hearing and perception
Hearing in many species of anuran (but not all) occurs when a sound vibrates the
external tympanic membrane located on the side of the head (Mason 2007) From there
vibrations of the tympanic membrane vibrate in turn the stapes which transmits sound
through the oval window to the inner ear The inner ear in amphibians is comprised of
6
two specialized mechanisms the amphibian papilla and the basilar papilla These two
structures are tuned to different frequency ranges the amphibian papilla specializes in
low-frequency sounds and the basilar papilla is more sensitive to higher frequency
ranges (Gerhardt and Bee 2007) Additionally the amphibian papilla frequency range can
be influenced by the external ambient temperature (Lewis and Narins 1999) Hearing in
anurans is thought to be related to the frequency range in which conspecific vocalization
occurs (Gerhardt and Huber 2002) although there are species which can perceive
frequencies outside of that range (Simmons and Moss 1985) However this cannot be
generalized across all species
Localization of conspecific calls in higher vertebrates is dependent on the
difference in arrival time between the two ears which in turn is dependent on the
frequency of the sound being small enough to not exceed the dimensions of the
perceiverrsquos head (Gerhardt and Bee 2007) In anurans this process is considerably more
difficult given the generally small binaural width The exact biophysical process by
which anurans are able to localize conspecific callers is unknown however it is
hypothesized that localization involves some method of pressure differentiation andor
extratympanic input ie the sound may come to the inner ear through multiple pathways
that bypass the tympanic membrane (Gerhardt and Huber 2002) More research is needed
to determine the exact biophysical method of localization in vocalizing anurans
PACIFIC CHORUS FROG LIFE HISTORY
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They range from British
Columbia to Baja California and as far east as Montana (Jones et al 2005) The species
can be found in most still-water aquatic habitats below 10000 feet in elevation (Leonard
1993) They are prolonged breeders and will vocalize in dense choruses from very early
spring or late winter until late spring in a diversity of still-water habitat types While
adults are terrestrial breeding and development of this species is aquatic
Beginning in late winter male Pacific chorus frogs will move from their non-
breeding habitat (usually wooded areas) to still-water breeding habitats Males will then
vocalize not only to establish temporary territories but also to attract females to the
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
LITERATURE CITED
Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
DEDICATION
To two brilliant amazing women I lost when I was just starting my graduate school
career Courtney Wilson gone too soon and Phyllis Parizek my indomitable
grandmother I hope I have done you both justice
1
CHAPTER 1 - General introduction
SOUNDSCAPES
Soundscapes are defined as the collection of biological abiotic and
anthropogenic sounds that are an integral part of a landscape that change
spatiotemporally to reflect ecosystem processes (Pijanowski Farina et al 2011) Natural
soundscapes are generally a good indicator of ecosystem health (Sueur et al 2014)
provide information to organisms within them (Pijanowski Villanueva-Rivera et al
2011) and have cultural significance (Dumyahn and Pijanowski 2011a) Soundscape
ecology draws parallels to landscape ecology and biogeography and focuses on the
spatiotemporal patterns of sound at multiple scales the interactions of the three
components of a soundscape and soundscape monitoring and conservation (Pijanowski
Farina et al 2011) Comprehensive assessment of soundscapes should include input from
multiple other fields including spatial ecology psychoacoustics (human cognition and
perception of sound) acoustic ecology (classification and aesthetic value of ambient
sounds) and bioacoustics (Pijanowski Farina et al 2011)
ANIMAL ACOUSTIC COMMUNICATION
Bioacoustics is the study of animal acoustic communication and all that it entails
sound production and perception morphology evolution of sound production and
hearing and heterospecific interactions (Bradbury and Vehrencamp 2011) Soundscapes
can provide information across the entire community of organisms Intraspecific acoustic
communication is used by wildlife for many purposes for example alarm calls (Ridley et
al 2007) social interaction (Awbrey 1978) and attracting mates (Gerhardt and Huber
2002) It is used across a wide array of taxa including invertebrates and many classes of
vertebrates (Bradbury and Vehrencamp 2011) Additionally bioacoustics encompasses
inter-specific eavesdropping on other species communication (Ridley et al 2014) and
predator-prey interactions (Holderied et al 2011)
2
ANTHROPOGENIC NOISE IMPACTS
When a soundscape is altered in a way where anthropogenic noise overpowers
abiotic and biotic sounds information is lost Anthropogenic noise is generally
characterized as being low-frequency but broadband its energy is spread over a wide
range that overlaps with many of the frequencies used by species to communicate
acoustically (Barber et al 2010) The main sources of anthropogenic noise come from
transportation motor vehicles on roads airplanes and in the marine realm ships
(McGregor et al 2013) It can be either acute (like sirens from emergency vehicles) or
chronic (air traffic vehicle traffic) Due to widespread human encroachment through
roads and air traffic flyover chronic anthropogenic noise has been shown to be audible
even in places where humans are not frequently found and to be fairly consistent
temporally (Barber et al 2011)
At an individual level chronic anthropogenic noise can cause physiological
reactions that can have a direct impact on fitness and reproductive success These can
include hypertension stress and hearing loss (Barber et al 2010) Humans are not
exempt from this studies of children exposed to high levels of chronic anthropogenic
noise even levels below those found to cause hearing loss show elevated levels of stress
hormones and depressed quality-of-life indicators (Evans et al 1998) Responses in
wildlife are similar stress hormone levels are generally elevated in most taxa in chronic
high-noise environments (Barber et al 2010) In many species elevated stress hormone
levels can affect the fitness of individuals (Creel et al 2013) therefore noise can lead to
fitness impacts on individuals even before addressing the implications of reduced
conspecific communication Additionally there are many taxa that use vocalizations and
acoustic cues to forage or to escape from predation Bats have been shown to have
reduced foraging success near noisy roads due to an inability to hear the rustling sounds
of their prey which has direct impacts on their fitness (Siemers and A Schaub 2011)
At the population and community level the more insidious impact of
anthropogenic noise in an ecosystem is that of masking or the loss of communicated
information due to the interference of background noise Masking can impact the ability
of conspecifics to communicate information with each other which can have implications
for mating success group cohesion and other important social processes While many of
3
these implications have not been tested directly studies have shown in many taxa such as
marine mammals (Hatch et al 2012) birds (Slabbekoorn and Peet 2003) bats (Hage et
al 2013) and anurans (Wollerman and Wiley 2002) that communication is hindered by
high levels of anthropogenic noise With a reduction in the ability to perform such vital
tasks as attracting a mate through acoustic vocalization (Gerhardt and Huber 2002) there
may be population-level implications of increased anthropogenic noise species especially
in already-threatened species Animals can modify their vocalizations to counteract the
effects of masking with mixed effects Often these modifications can be energetically
costly (Barber et al 2010 Zollinger and Brumm 2011) It is unclear what trade-offs are
induced by this increased energetic cost but these may also provide additional pressure
on already stressed populations
Anthropogenic noise can also have community-level impacts that can shift the
species distributions and interactions within an ecosystem This can be in part due to the
population-level effects mentioned above however interactions such as
eavesdropping or the cueing in on information by an individual other than the intended
receiver (Ridley et al 2014) Goodale et al (2010) suggest that the sharing of
heterospecific information is one of the primary drivers in the formation and maintenance
of temporary or stable mixed-species groups and it may also help with habitat selection
in species These groups provide benefits to their members mixed-species groups may
provide different ways of perceiving information than single-species groups while
removing some of the competition pressure found in single-species groups For example
Ridley et al (2014) found that a species of bird (scimitarbills) would shift from foraging
in trees to ground foraging in the presence of another species of bird (pied babblers) that
produced alarm calls thereby changing the foraging pressure on ground vegetation and
invertebrates depending on the alarm call species There is also the theory of the
heterospecific attraction hypothesis which describes a situation where individuals choose
habitat patches based on the presence of resident heterospecific individuals (Moumlnkkoumlnen
et al 1999) This has been primarily studied in birds and has been proposed as a
mechanism allowing migrant birds to select high-quality habitat based on the presence of
residents who would necessarily have more time to assess habitat quality (Moumlnkkoumlnen et
al 1997) Song may be a far-reaching cue of resident presence which will affect the
4
development of a migratory bird community that depends on the presence of residents
Anthropogenic noise has the potential to mask any of this information exchange which
may alter community interactions
FROG COMMUNICATION
The impacts of anthropogenic noise are still widely unstudied in many taxa and
since different species have very different responses to noise it is important to quantify
these impacts in order to better understand how to conserve soundscapes and vocalizing
species Among these understudied taxa are the anurans or frogs and toads Of the class
Amphibia only anurans are known to vocalize (Gerhardt and Huber 2002) Vocalization
in this order is used primarily for breeding Males will produce calls that are used to
attract females to breeding ponds (Narins 2007) Additionally other calls are used to
mediate male-male interactions (Brenowitz and Rose 1994) release calls used by both
males and females in breeding situations (Sullivan and Wagner 1988) and territorial calls
(D Schaub and Larsen 1978) Vocalizations are often highly stereotyped and are innate
rather than learned (Narins 2007)
While frog vocalizations have been studied for many years (Gerhardt and Huber
2002) the impacts of noise on their communication are still relatively unclear While
some studies have been done (Lengagne 2008 Kaiser and Hammers 2009 Cunnington
and Fahrig 2012) the population and community level effects of anthropogenic noise on
anurans are unclear Given that many anurans vocalize in single- or multi-species
choruses there is the potential for dramatic shifts in energy expenditure population
structure and community dynamics if anuran vocalization is impacted by anthropogenic
noise
Amphibians (including anurans) are ectothermic their energy expenditures are at
least partially governed by the external temperature of their surroundings (Whitford
1973) In general lower external temperatures are associated with lower activity levels in
this class (Bennett 1978) This extends to vocalization as well which can be related to
temperature constraints (Wells et al 1996) While this is mediated by social context in
some species (Wong et al 2004) it is unclear how social context and temperature interact
across the order to influence aspects of call structure such as call rate Additionally given
5
the diverse evolutionary and developmental histories of amphibians the wide range of
habitat types in which they are found and the considerable vocal diversity displayed by
anurans generalization of conclusions from one species across others is unlikely to be
reasonable (Narins 2007) Instead a species-by-species approach is likely the best way to
determine vocal behavioral norms
Vocal production
The mechanism for production of calls in anurans involves passive vibration of
vocal membranes in the larynx through movement of air from the lungs into the mouth
and vocal sac which acts as a resonant structure used to amplify the call focus the
energy into the second harmonic and cause the signal to be omnidirectional (Gridi-Papp
2014) Dominant frequency is tied to body size in many species of frog and there is some
evidence of frequency plasticity in some species of frog in response to modified
conspecific vocalization (Lopez et al 1988) however it is unclear how universal this is
given the diversity of vocal anuran species and the differing rates of evolution of anuran
vocalization among species (Cocroft and Ryan 1995) As the vocal mechanism is passive
this frequency adjustment is likely achieved through manipulation of the pressures before
and after the larynx and is likely to be energetically costly to change (Gridi-Papp 2014)
Anurans will more readily change the temporal aspects (call rate call duration) of
their calls (Bee and Schwartz 2013) Often call rate and call duration are inversely related
(Bee and Schwartz 2013) so longer calls will be produced less often than shorter calls for
a given species Call rate will increase with increasing temperature as energy levels will
increase at higher temperatures (Wells et al 1996) Frogs will also cease calling after a
disturbance andor alter their timing of calling to take advantage of natural lulls in chorus
noise (Sun and Narins 2005 Velez and Bee 2011) Additionally call rate can be
increased with proximity of other frogs as calling individuals either attempt to attract the
frog (if it is female) or warn it away (if it is another male) (Allan 1973)
Hearing and perception
Hearing in many species of anuran (but not all) occurs when a sound vibrates the
external tympanic membrane located on the side of the head (Mason 2007) From there
vibrations of the tympanic membrane vibrate in turn the stapes which transmits sound
through the oval window to the inner ear The inner ear in amphibians is comprised of
6
two specialized mechanisms the amphibian papilla and the basilar papilla These two
structures are tuned to different frequency ranges the amphibian papilla specializes in
low-frequency sounds and the basilar papilla is more sensitive to higher frequency
ranges (Gerhardt and Bee 2007) Additionally the amphibian papilla frequency range can
be influenced by the external ambient temperature (Lewis and Narins 1999) Hearing in
anurans is thought to be related to the frequency range in which conspecific vocalization
occurs (Gerhardt and Huber 2002) although there are species which can perceive
frequencies outside of that range (Simmons and Moss 1985) However this cannot be
generalized across all species
Localization of conspecific calls in higher vertebrates is dependent on the
difference in arrival time between the two ears which in turn is dependent on the
frequency of the sound being small enough to not exceed the dimensions of the
perceiverrsquos head (Gerhardt and Bee 2007) In anurans this process is considerably more
difficult given the generally small binaural width The exact biophysical process by
which anurans are able to localize conspecific callers is unknown however it is
hypothesized that localization involves some method of pressure differentiation andor
extratympanic input ie the sound may come to the inner ear through multiple pathways
that bypass the tympanic membrane (Gerhardt and Huber 2002) More research is needed
to determine the exact biophysical method of localization in vocalizing anurans
PACIFIC CHORUS FROG LIFE HISTORY
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They range from British
Columbia to Baja California and as far east as Montana (Jones et al 2005) The species
can be found in most still-water aquatic habitats below 10000 feet in elevation (Leonard
1993) They are prolonged breeders and will vocalize in dense choruses from very early
spring or late winter until late spring in a diversity of still-water habitat types While
adults are terrestrial breeding and development of this species is aquatic
Beginning in late winter male Pacific chorus frogs will move from their non-
breeding habitat (usually wooded areas) to still-water breeding habitats Males will then
vocalize not only to establish temporary territories but also to attract females to the
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
LITERATURE CITED
Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
1
CHAPTER 1 - General introduction
SOUNDSCAPES
Soundscapes are defined as the collection of biological abiotic and
anthropogenic sounds that are an integral part of a landscape that change
spatiotemporally to reflect ecosystem processes (Pijanowski Farina et al 2011) Natural
soundscapes are generally a good indicator of ecosystem health (Sueur et al 2014)
provide information to organisms within them (Pijanowski Villanueva-Rivera et al
2011) and have cultural significance (Dumyahn and Pijanowski 2011a) Soundscape
ecology draws parallels to landscape ecology and biogeography and focuses on the
spatiotemporal patterns of sound at multiple scales the interactions of the three
components of a soundscape and soundscape monitoring and conservation (Pijanowski
Farina et al 2011) Comprehensive assessment of soundscapes should include input from
multiple other fields including spatial ecology psychoacoustics (human cognition and
perception of sound) acoustic ecology (classification and aesthetic value of ambient
sounds) and bioacoustics (Pijanowski Farina et al 2011)
ANIMAL ACOUSTIC COMMUNICATION
Bioacoustics is the study of animal acoustic communication and all that it entails
sound production and perception morphology evolution of sound production and
hearing and heterospecific interactions (Bradbury and Vehrencamp 2011) Soundscapes
can provide information across the entire community of organisms Intraspecific acoustic
communication is used by wildlife for many purposes for example alarm calls (Ridley et
al 2007) social interaction (Awbrey 1978) and attracting mates (Gerhardt and Huber
2002) It is used across a wide array of taxa including invertebrates and many classes of
vertebrates (Bradbury and Vehrencamp 2011) Additionally bioacoustics encompasses
inter-specific eavesdropping on other species communication (Ridley et al 2014) and
predator-prey interactions (Holderied et al 2011)
2
ANTHROPOGENIC NOISE IMPACTS
When a soundscape is altered in a way where anthropogenic noise overpowers
abiotic and biotic sounds information is lost Anthropogenic noise is generally
characterized as being low-frequency but broadband its energy is spread over a wide
range that overlaps with many of the frequencies used by species to communicate
acoustically (Barber et al 2010) The main sources of anthropogenic noise come from
transportation motor vehicles on roads airplanes and in the marine realm ships
(McGregor et al 2013) It can be either acute (like sirens from emergency vehicles) or
chronic (air traffic vehicle traffic) Due to widespread human encroachment through
roads and air traffic flyover chronic anthropogenic noise has been shown to be audible
even in places where humans are not frequently found and to be fairly consistent
temporally (Barber et al 2011)
At an individual level chronic anthropogenic noise can cause physiological
reactions that can have a direct impact on fitness and reproductive success These can
include hypertension stress and hearing loss (Barber et al 2010) Humans are not
exempt from this studies of children exposed to high levels of chronic anthropogenic
noise even levels below those found to cause hearing loss show elevated levels of stress
hormones and depressed quality-of-life indicators (Evans et al 1998) Responses in
wildlife are similar stress hormone levels are generally elevated in most taxa in chronic
high-noise environments (Barber et al 2010) In many species elevated stress hormone
levels can affect the fitness of individuals (Creel et al 2013) therefore noise can lead to
fitness impacts on individuals even before addressing the implications of reduced
conspecific communication Additionally there are many taxa that use vocalizations and
acoustic cues to forage or to escape from predation Bats have been shown to have
reduced foraging success near noisy roads due to an inability to hear the rustling sounds
of their prey which has direct impacts on their fitness (Siemers and A Schaub 2011)
At the population and community level the more insidious impact of
anthropogenic noise in an ecosystem is that of masking or the loss of communicated
information due to the interference of background noise Masking can impact the ability
of conspecifics to communicate information with each other which can have implications
for mating success group cohesion and other important social processes While many of
3
these implications have not been tested directly studies have shown in many taxa such as
marine mammals (Hatch et al 2012) birds (Slabbekoorn and Peet 2003) bats (Hage et
al 2013) and anurans (Wollerman and Wiley 2002) that communication is hindered by
high levels of anthropogenic noise With a reduction in the ability to perform such vital
tasks as attracting a mate through acoustic vocalization (Gerhardt and Huber 2002) there
may be population-level implications of increased anthropogenic noise species especially
in already-threatened species Animals can modify their vocalizations to counteract the
effects of masking with mixed effects Often these modifications can be energetically
costly (Barber et al 2010 Zollinger and Brumm 2011) It is unclear what trade-offs are
induced by this increased energetic cost but these may also provide additional pressure
on already stressed populations
Anthropogenic noise can also have community-level impacts that can shift the
species distributions and interactions within an ecosystem This can be in part due to the
population-level effects mentioned above however interactions such as
eavesdropping or the cueing in on information by an individual other than the intended
receiver (Ridley et al 2014) Goodale et al (2010) suggest that the sharing of
heterospecific information is one of the primary drivers in the formation and maintenance
of temporary or stable mixed-species groups and it may also help with habitat selection
in species These groups provide benefits to their members mixed-species groups may
provide different ways of perceiving information than single-species groups while
removing some of the competition pressure found in single-species groups For example
Ridley et al (2014) found that a species of bird (scimitarbills) would shift from foraging
in trees to ground foraging in the presence of another species of bird (pied babblers) that
produced alarm calls thereby changing the foraging pressure on ground vegetation and
invertebrates depending on the alarm call species There is also the theory of the
heterospecific attraction hypothesis which describes a situation where individuals choose
habitat patches based on the presence of resident heterospecific individuals (Moumlnkkoumlnen
et al 1999) This has been primarily studied in birds and has been proposed as a
mechanism allowing migrant birds to select high-quality habitat based on the presence of
residents who would necessarily have more time to assess habitat quality (Moumlnkkoumlnen et
al 1997) Song may be a far-reaching cue of resident presence which will affect the
4
development of a migratory bird community that depends on the presence of residents
Anthropogenic noise has the potential to mask any of this information exchange which
may alter community interactions
FROG COMMUNICATION
The impacts of anthropogenic noise are still widely unstudied in many taxa and
since different species have very different responses to noise it is important to quantify
these impacts in order to better understand how to conserve soundscapes and vocalizing
species Among these understudied taxa are the anurans or frogs and toads Of the class
Amphibia only anurans are known to vocalize (Gerhardt and Huber 2002) Vocalization
in this order is used primarily for breeding Males will produce calls that are used to
attract females to breeding ponds (Narins 2007) Additionally other calls are used to
mediate male-male interactions (Brenowitz and Rose 1994) release calls used by both
males and females in breeding situations (Sullivan and Wagner 1988) and territorial calls
(D Schaub and Larsen 1978) Vocalizations are often highly stereotyped and are innate
rather than learned (Narins 2007)
While frog vocalizations have been studied for many years (Gerhardt and Huber
2002) the impacts of noise on their communication are still relatively unclear While
some studies have been done (Lengagne 2008 Kaiser and Hammers 2009 Cunnington
and Fahrig 2012) the population and community level effects of anthropogenic noise on
anurans are unclear Given that many anurans vocalize in single- or multi-species
choruses there is the potential for dramatic shifts in energy expenditure population
structure and community dynamics if anuran vocalization is impacted by anthropogenic
noise
Amphibians (including anurans) are ectothermic their energy expenditures are at
least partially governed by the external temperature of their surroundings (Whitford
1973) In general lower external temperatures are associated with lower activity levels in
this class (Bennett 1978) This extends to vocalization as well which can be related to
temperature constraints (Wells et al 1996) While this is mediated by social context in
some species (Wong et al 2004) it is unclear how social context and temperature interact
across the order to influence aspects of call structure such as call rate Additionally given
5
the diverse evolutionary and developmental histories of amphibians the wide range of
habitat types in which they are found and the considerable vocal diversity displayed by
anurans generalization of conclusions from one species across others is unlikely to be
reasonable (Narins 2007) Instead a species-by-species approach is likely the best way to
determine vocal behavioral norms
Vocal production
The mechanism for production of calls in anurans involves passive vibration of
vocal membranes in the larynx through movement of air from the lungs into the mouth
and vocal sac which acts as a resonant structure used to amplify the call focus the
energy into the second harmonic and cause the signal to be omnidirectional (Gridi-Papp
2014) Dominant frequency is tied to body size in many species of frog and there is some
evidence of frequency plasticity in some species of frog in response to modified
conspecific vocalization (Lopez et al 1988) however it is unclear how universal this is
given the diversity of vocal anuran species and the differing rates of evolution of anuran
vocalization among species (Cocroft and Ryan 1995) As the vocal mechanism is passive
this frequency adjustment is likely achieved through manipulation of the pressures before
and after the larynx and is likely to be energetically costly to change (Gridi-Papp 2014)
Anurans will more readily change the temporal aspects (call rate call duration) of
their calls (Bee and Schwartz 2013) Often call rate and call duration are inversely related
(Bee and Schwartz 2013) so longer calls will be produced less often than shorter calls for
a given species Call rate will increase with increasing temperature as energy levels will
increase at higher temperatures (Wells et al 1996) Frogs will also cease calling after a
disturbance andor alter their timing of calling to take advantage of natural lulls in chorus
noise (Sun and Narins 2005 Velez and Bee 2011) Additionally call rate can be
increased with proximity of other frogs as calling individuals either attempt to attract the
frog (if it is female) or warn it away (if it is another male) (Allan 1973)
Hearing and perception
Hearing in many species of anuran (but not all) occurs when a sound vibrates the
external tympanic membrane located on the side of the head (Mason 2007) From there
vibrations of the tympanic membrane vibrate in turn the stapes which transmits sound
through the oval window to the inner ear The inner ear in amphibians is comprised of
6
two specialized mechanisms the amphibian papilla and the basilar papilla These two
structures are tuned to different frequency ranges the amphibian papilla specializes in
low-frequency sounds and the basilar papilla is more sensitive to higher frequency
ranges (Gerhardt and Bee 2007) Additionally the amphibian papilla frequency range can
be influenced by the external ambient temperature (Lewis and Narins 1999) Hearing in
anurans is thought to be related to the frequency range in which conspecific vocalization
occurs (Gerhardt and Huber 2002) although there are species which can perceive
frequencies outside of that range (Simmons and Moss 1985) However this cannot be
generalized across all species
Localization of conspecific calls in higher vertebrates is dependent on the
difference in arrival time between the two ears which in turn is dependent on the
frequency of the sound being small enough to not exceed the dimensions of the
perceiverrsquos head (Gerhardt and Bee 2007) In anurans this process is considerably more
difficult given the generally small binaural width The exact biophysical process by
which anurans are able to localize conspecific callers is unknown however it is
hypothesized that localization involves some method of pressure differentiation andor
extratympanic input ie the sound may come to the inner ear through multiple pathways
that bypass the tympanic membrane (Gerhardt and Huber 2002) More research is needed
to determine the exact biophysical method of localization in vocalizing anurans
PACIFIC CHORUS FROG LIFE HISTORY
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They range from British
Columbia to Baja California and as far east as Montana (Jones et al 2005) The species
can be found in most still-water aquatic habitats below 10000 feet in elevation (Leonard
1993) They are prolonged breeders and will vocalize in dense choruses from very early
spring or late winter until late spring in a diversity of still-water habitat types While
adults are terrestrial breeding and development of this species is aquatic
Beginning in late winter male Pacific chorus frogs will move from their non-
breeding habitat (usually wooded areas) to still-water breeding habitats Males will then
vocalize not only to establish temporary territories but also to attract females to the
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
LITERATURE CITED
Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
2
ANTHROPOGENIC NOISE IMPACTS
When a soundscape is altered in a way where anthropogenic noise overpowers
abiotic and biotic sounds information is lost Anthropogenic noise is generally
characterized as being low-frequency but broadband its energy is spread over a wide
range that overlaps with many of the frequencies used by species to communicate
acoustically (Barber et al 2010) The main sources of anthropogenic noise come from
transportation motor vehicles on roads airplanes and in the marine realm ships
(McGregor et al 2013) It can be either acute (like sirens from emergency vehicles) or
chronic (air traffic vehicle traffic) Due to widespread human encroachment through
roads and air traffic flyover chronic anthropogenic noise has been shown to be audible
even in places where humans are not frequently found and to be fairly consistent
temporally (Barber et al 2011)
At an individual level chronic anthropogenic noise can cause physiological
reactions that can have a direct impact on fitness and reproductive success These can
include hypertension stress and hearing loss (Barber et al 2010) Humans are not
exempt from this studies of children exposed to high levels of chronic anthropogenic
noise even levels below those found to cause hearing loss show elevated levels of stress
hormones and depressed quality-of-life indicators (Evans et al 1998) Responses in
wildlife are similar stress hormone levels are generally elevated in most taxa in chronic
high-noise environments (Barber et al 2010) In many species elevated stress hormone
levels can affect the fitness of individuals (Creel et al 2013) therefore noise can lead to
fitness impacts on individuals even before addressing the implications of reduced
conspecific communication Additionally there are many taxa that use vocalizations and
acoustic cues to forage or to escape from predation Bats have been shown to have
reduced foraging success near noisy roads due to an inability to hear the rustling sounds
of their prey which has direct impacts on their fitness (Siemers and A Schaub 2011)
At the population and community level the more insidious impact of
anthropogenic noise in an ecosystem is that of masking or the loss of communicated
information due to the interference of background noise Masking can impact the ability
of conspecifics to communicate information with each other which can have implications
for mating success group cohesion and other important social processes While many of
3
these implications have not been tested directly studies have shown in many taxa such as
marine mammals (Hatch et al 2012) birds (Slabbekoorn and Peet 2003) bats (Hage et
al 2013) and anurans (Wollerman and Wiley 2002) that communication is hindered by
high levels of anthropogenic noise With a reduction in the ability to perform such vital
tasks as attracting a mate through acoustic vocalization (Gerhardt and Huber 2002) there
may be population-level implications of increased anthropogenic noise species especially
in already-threatened species Animals can modify their vocalizations to counteract the
effects of masking with mixed effects Often these modifications can be energetically
costly (Barber et al 2010 Zollinger and Brumm 2011) It is unclear what trade-offs are
induced by this increased energetic cost but these may also provide additional pressure
on already stressed populations
Anthropogenic noise can also have community-level impacts that can shift the
species distributions and interactions within an ecosystem This can be in part due to the
population-level effects mentioned above however interactions such as
eavesdropping or the cueing in on information by an individual other than the intended
receiver (Ridley et al 2014) Goodale et al (2010) suggest that the sharing of
heterospecific information is one of the primary drivers in the formation and maintenance
of temporary or stable mixed-species groups and it may also help with habitat selection
in species These groups provide benefits to their members mixed-species groups may
provide different ways of perceiving information than single-species groups while
removing some of the competition pressure found in single-species groups For example
Ridley et al (2014) found that a species of bird (scimitarbills) would shift from foraging
in trees to ground foraging in the presence of another species of bird (pied babblers) that
produced alarm calls thereby changing the foraging pressure on ground vegetation and
invertebrates depending on the alarm call species There is also the theory of the
heterospecific attraction hypothesis which describes a situation where individuals choose
habitat patches based on the presence of resident heterospecific individuals (Moumlnkkoumlnen
et al 1999) This has been primarily studied in birds and has been proposed as a
mechanism allowing migrant birds to select high-quality habitat based on the presence of
residents who would necessarily have more time to assess habitat quality (Moumlnkkoumlnen et
al 1997) Song may be a far-reaching cue of resident presence which will affect the
4
development of a migratory bird community that depends on the presence of residents
Anthropogenic noise has the potential to mask any of this information exchange which
may alter community interactions
FROG COMMUNICATION
The impacts of anthropogenic noise are still widely unstudied in many taxa and
since different species have very different responses to noise it is important to quantify
these impacts in order to better understand how to conserve soundscapes and vocalizing
species Among these understudied taxa are the anurans or frogs and toads Of the class
Amphibia only anurans are known to vocalize (Gerhardt and Huber 2002) Vocalization
in this order is used primarily for breeding Males will produce calls that are used to
attract females to breeding ponds (Narins 2007) Additionally other calls are used to
mediate male-male interactions (Brenowitz and Rose 1994) release calls used by both
males and females in breeding situations (Sullivan and Wagner 1988) and territorial calls
(D Schaub and Larsen 1978) Vocalizations are often highly stereotyped and are innate
rather than learned (Narins 2007)
While frog vocalizations have been studied for many years (Gerhardt and Huber
2002) the impacts of noise on their communication are still relatively unclear While
some studies have been done (Lengagne 2008 Kaiser and Hammers 2009 Cunnington
and Fahrig 2012) the population and community level effects of anthropogenic noise on
anurans are unclear Given that many anurans vocalize in single- or multi-species
choruses there is the potential for dramatic shifts in energy expenditure population
structure and community dynamics if anuran vocalization is impacted by anthropogenic
noise
Amphibians (including anurans) are ectothermic their energy expenditures are at
least partially governed by the external temperature of their surroundings (Whitford
1973) In general lower external temperatures are associated with lower activity levels in
this class (Bennett 1978) This extends to vocalization as well which can be related to
temperature constraints (Wells et al 1996) While this is mediated by social context in
some species (Wong et al 2004) it is unclear how social context and temperature interact
across the order to influence aspects of call structure such as call rate Additionally given
5
the diverse evolutionary and developmental histories of amphibians the wide range of
habitat types in which they are found and the considerable vocal diversity displayed by
anurans generalization of conclusions from one species across others is unlikely to be
reasonable (Narins 2007) Instead a species-by-species approach is likely the best way to
determine vocal behavioral norms
Vocal production
The mechanism for production of calls in anurans involves passive vibration of
vocal membranes in the larynx through movement of air from the lungs into the mouth
and vocal sac which acts as a resonant structure used to amplify the call focus the
energy into the second harmonic and cause the signal to be omnidirectional (Gridi-Papp
2014) Dominant frequency is tied to body size in many species of frog and there is some
evidence of frequency plasticity in some species of frog in response to modified
conspecific vocalization (Lopez et al 1988) however it is unclear how universal this is
given the diversity of vocal anuran species and the differing rates of evolution of anuran
vocalization among species (Cocroft and Ryan 1995) As the vocal mechanism is passive
this frequency adjustment is likely achieved through manipulation of the pressures before
and after the larynx and is likely to be energetically costly to change (Gridi-Papp 2014)
Anurans will more readily change the temporal aspects (call rate call duration) of
their calls (Bee and Schwartz 2013) Often call rate and call duration are inversely related
(Bee and Schwartz 2013) so longer calls will be produced less often than shorter calls for
a given species Call rate will increase with increasing temperature as energy levels will
increase at higher temperatures (Wells et al 1996) Frogs will also cease calling after a
disturbance andor alter their timing of calling to take advantage of natural lulls in chorus
noise (Sun and Narins 2005 Velez and Bee 2011) Additionally call rate can be
increased with proximity of other frogs as calling individuals either attempt to attract the
frog (if it is female) or warn it away (if it is another male) (Allan 1973)
Hearing and perception
Hearing in many species of anuran (but not all) occurs when a sound vibrates the
external tympanic membrane located on the side of the head (Mason 2007) From there
vibrations of the tympanic membrane vibrate in turn the stapes which transmits sound
through the oval window to the inner ear The inner ear in amphibians is comprised of
6
two specialized mechanisms the amphibian papilla and the basilar papilla These two
structures are tuned to different frequency ranges the amphibian papilla specializes in
low-frequency sounds and the basilar papilla is more sensitive to higher frequency
ranges (Gerhardt and Bee 2007) Additionally the amphibian papilla frequency range can
be influenced by the external ambient temperature (Lewis and Narins 1999) Hearing in
anurans is thought to be related to the frequency range in which conspecific vocalization
occurs (Gerhardt and Huber 2002) although there are species which can perceive
frequencies outside of that range (Simmons and Moss 1985) However this cannot be
generalized across all species
Localization of conspecific calls in higher vertebrates is dependent on the
difference in arrival time between the two ears which in turn is dependent on the
frequency of the sound being small enough to not exceed the dimensions of the
perceiverrsquos head (Gerhardt and Bee 2007) In anurans this process is considerably more
difficult given the generally small binaural width The exact biophysical process by
which anurans are able to localize conspecific callers is unknown however it is
hypothesized that localization involves some method of pressure differentiation andor
extratympanic input ie the sound may come to the inner ear through multiple pathways
that bypass the tympanic membrane (Gerhardt and Huber 2002) More research is needed
to determine the exact biophysical method of localization in vocalizing anurans
PACIFIC CHORUS FROG LIFE HISTORY
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They range from British
Columbia to Baja California and as far east as Montana (Jones et al 2005) The species
can be found in most still-water aquatic habitats below 10000 feet in elevation (Leonard
1993) They are prolonged breeders and will vocalize in dense choruses from very early
spring or late winter until late spring in a diversity of still-water habitat types While
adults are terrestrial breeding and development of this species is aquatic
Beginning in late winter male Pacific chorus frogs will move from their non-
breeding habitat (usually wooded areas) to still-water breeding habitats Males will then
vocalize not only to establish temporary territories but also to attract females to the
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
LITERATURE CITED
Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
3
these implications have not been tested directly studies have shown in many taxa such as
marine mammals (Hatch et al 2012) birds (Slabbekoorn and Peet 2003) bats (Hage et
al 2013) and anurans (Wollerman and Wiley 2002) that communication is hindered by
high levels of anthropogenic noise With a reduction in the ability to perform such vital
tasks as attracting a mate through acoustic vocalization (Gerhardt and Huber 2002) there
may be population-level implications of increased anthropogenic noise species especially
in already-threatened species Animals can modify their vocalizations to counteract the
effects of masking with mixed effects Often these modifications can be energetically
costly (Barber et al 2010 Zollinger and Brumm 2011) It is unclear what trade-offs are
induced by this increased energetic cost but these may also provide additional pressure
on already stressed populations
Anthropogenic noise can also have community-level impacts that can shift the
species distributions and interactions within an ecosystem This can be in part due to the
population-level effects mentioned above however interactions such as
eavesdropping or the cueing in on information by an individual other than the intended
receiver (Ridley et al 2014) Goodale et al (2010) suggest that the sharing of
heterospecific information is one of the primary drivers in the formation and maintenance
of temporary or stable mixed-species groups and it may also help with habitat selection
in species These groups provide benefits to their members mixed-species groups may
provide different ways of perceiving information than single-species groups while
removing some of the competition pressure found in single-species groups For example
Ridley et al (2014) found that a species of bird (scimitarbills) would shift from foraging
in trees to ground foraging in the presence of another species of bird (pied babblers) that
produced alarm calls thereby changing the foraging pressure on ground vegetation and
invertebrates depending on the alarm call species There is also the theory of the
heterospecific attraction hypothesis which describes a situation where individuals choose
habitat patches based on the presence of resident heterospecific individuals (Moumlnkkoumlnen
et al 1999) This has been primarily studied in birds and has been proposed as a
mechanism allowing migrant birds to select high-quality habitat based on the presence of
residents who would necessarily have more time to assess habitat quality (Moumlnkkoumlnen et
al 1997) Song may be a far-reaching cue of resident presence which will affect the
4
development of a migratory bird community that depends on the presence of residents
Anthropogenic noise has the potential to mask any of this information exchange which
may alter community interactions
FROG COMMUNICATION
The impacts of anthropogenic noise are still widely unstudied in many taxa and
since different species have very different responses to noise it is important to quantify
these impacts in order to better understand how to conserve soundscapes and vocalizing
species Among these understudied taxa are the anurans or frogs and toads Of the class
Amphibia only anurans are known to vocalize (Gerhardt and Huber 2002) Vocalization
in this order is used primarily for breeding Males will produce calls that are used to
attract females to breeding ponds (Narins 2007) Additionally other calls are used to
mediate male-male interactions (Brenowitz and Rose 1994) release calls used by both
males and females in breeding situations (Sullivan and Wagner 1988) and territorial calls
(D Schaub and Larsen 1978) Vocalizations are often highly stereotyped and are innate
rather than learned (Narins 2007)
While frog vocalizations have been studied for many years (Gerhardt and Huber
2002) the impacts of noise on their communication are still relatively unclear While
some studies have been done (Lengagne 2008 Kaiser and Hammers 2009 Cunnington
and Fahrig 2012) the population and community level effects of anthropogenic noise on
anurans are unclear Given that many anurans vocalize in single- or multi-species
choruses there is the potential for dramatic shifts in energy expenditure population
structure and community dynamics if anuran vocalization is impacted by anthropogenic
noise
Amphibians (including anurans) are ectothermic their energy expenditures are at
least partially governed by the external temperature of their surroundings (Whitford
1973) In general lower external temperatures are associated with lower activity levels in
this class (Bennett 1978) This extends to vocalization as well which can be related to
temperature constraints (Wells et al 1996) While this is mediated by social context in
some species (Wong et al 2004) it is unclear how social context and temperature interact
across the order to influence aspects of call structure such as call rate Additionally given
5
the diverse evolutionary and developmental histories of amphibians the wide range of
habitat types in which they are found and the considerable vocal diversity displayed by
anurans generalization of conclusions from one species across others is unlikely to be
reasonable (Narins 2007) Instead a species-by-species approach is likely the best way to
determine vocal behavioral norms
Vocal production
The mechanism for production of calls in anurans involves passive vibration of
vocal membranes in the larynx through movement of air from the lungs into the mouth
and vocal sac which acts as a resonant structure used to amplify the call focus the
energy into the second harmonic and cause the signal to be omnidirectional (Gridi-Papp
2014) Dominant frequency is tied to body size in many species of frog and there is some
evidence of frequency plasticity in some species of frog in response to modified
conspecific vocalization (Lopez et al 1988) however it is unclear how universal this is
given the diversity of vocal anuran species and the differing rates of evolution of anuran
vocalization among species (Cocroft and Ryan 1995) As the vocal mechanism is passive
this frequency adjustment is likely achieved through manipulation of the pressures before
and after the larynx and is likely to be energetically costly to change (Gridi-Papp 2014)
Anurans will more readily change the temporal aspects (call rate call duration) of
their calls (Bee and Schwartz 2013) Often call rate and call duration are inversely related
(Bee and Schwartz 2013) so longer calls will be produced less often than shorter calls for
a given species Call rate will increase with increasing temperature as energy levels will
increase at higher temperatures (Wells et al 1996) Frogs will also cease calling after a
disturbance andor alter their timing of calling to take advantage of natural lulls in chorus
noise (Sun and Narins 2005 Velez and Bee 2011) Additionally call rate can be
increased with proximity of other frogs as calling individuals either attempt to attract the
frog (if it is female) or warn it away (if it is another male) (Allan 1973)
Hearing and perception
Hearing in many species of anuran (but not all) occurs when a sound vibrates the
external tympanic membrane located on the side of the head (Mason 2007) From there
vibrations of the tympanic membrane vibrate in turn the stapes which transmits sound
through the oval window to the inner ear The inner ear in amphibians is comprised of
6
two specialized mechanisms the amphibian papilla and the basilar papilla These two
structures are tuned to different frequency ranges the amphibian papilla specializes in
low-frequency sounds and the basilar papilla is more sensitive to higher frequency
ranges (Gerhardt and Bee 2007) Additionally the amphibian papilla frequency range can
be influenced by the external ambient temperature (Lewis and Narins 1999) Hearing in
anurans is thought to be related to the frequency range in which conspecific vocalization
occurs (Gerhardt and Huber 2002) although there are species which can perceive
frequencies outside of that range (Simmons and Moss 1985) However this cannot be
generalized across all species
Localization of conspecific calls in higher vertebrates is dependent on the
difference in arrival time between the two ears which in turn is dependent on the
frequency of the sound being small enough to not exceed the dimensions of the
perceiverrsquos head (Gerhardt and Bee 2007) In anurans this process is considerably more
difficult given the generally small binaural width The exact biophysical process by
which anurans are able to localize conspecific callers is unknown however it is
hypothesized that localization involves some method of pressure differentiation andor
extratympanic input ie the sound may come to the inner ear through multiple pathways
that bypass the tympanic membrane (Gerhardt and Huber 2002) More research is needed
to determine the exact biophysical method of localization in vocalizing anurans
PACIFIC CHORUS FROG LIFE HISTORY
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They range from British
Columbia to Baja California and as far east as Montana (Jones et al 2005) The species
can be found in most still-water aquatic habitats below 10000 feet in elevation (Leonard
1993) They are prolonged breeders and will vocalize in dense choruses from very early
spring or late winter until late spring in a diversity of still-water habitat types While
adults are terrestrial breeding and development of this species is aquatic
Beginning in late winter male Pacific chorus frogs will move from their non-
breeding habitat (usually wooded areas) to still-water breeding habitats Males will then
vocalize not only to establish temporary territories but also to attract females to the
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
LITERATURE CITED
Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
4
development of a migratory bird community that depends on the presence of residents
Anthropogenic noise has the potential to mask any of this information exchange which
may alter community interactions
FROG COMMUNICATION
The impacts of anthropogenic noise are still widely unstudied in many taxa and
since different species have very different responses to noise it is important to quantify
these impacts in order to better understand how to conserve soundscapes and vocalizing
species Among these understudied taxa are the anurans or frogs and toads Of the class
Amphibia only anurans are known to vocalize (Gerhardt and Huber 2002) Vocalization
in this order is used primarily for breeding Males will produce calls that are used to
attract females to breeding ponds (Narins 2007) Additionally other calls are used to
mediate male-male interactions (Brenowitz and Rose 1994) release calls used by both
males and females in breeding situations (Sullivan and Wagner 1988) and territorial calls
(D Schaub and Larsen 1978) Vocalizations are often highly stereotyped and are innate
rather than learned (Narins 2007)
While frog vocalizations have been studied for many years (Gerhardt and Huber
2002) the impacts of noise on their communication are still relatively unclear While
some studies have been done (Lengagne 2008 Kaiser and Hammers 2009 Cunnington
and Fahrig 2012) the population and community level effects of anthropogenic noise on
anurans are unclear Given that many anurans vocalize in single- or multi-species
choruses there is the potential for dramatic shifts in energy expenditure population
structure and community dynamics if anuran vocalization is impacted by anthropogenic
noise
Amphibians (including anurans) are ectothermic their energy expenditures are at
least partially governed by the external temperature of their surroundings (Whitford
1973) In general lower external temperatures are associated with lower activity levels in
this class (Bennett 1978) This extends to vocalization as well which can be related to
temperature constraints (Wells et al 1996) While this is mediated by social context in
some species (Wong et al 2004) it is unclear how social context and temperature interact
across the order to influence aspects of call structure such as call rate Additionally given
5
the diverse evolutionary and developmental histories of amphibians the wide range of
habitat types in which they are found and the considerable vocal diversity displayed by
anurans generalization of conclusions from one species across others is unlikely to be
reasonable (Narins 2007) Instead a species-by-species approach is likely the best way to
determine vocal behavioral norms
Vocal production
The mechanism for production of calls in anurans involves passive vibration of
vocal membranes in the larynx through movement of air from the lungs into the mouth
and vocal sac which acts as a resonant structure used to amplify the call focus the
energy into the second harmonic and cause the signal to be omnidirectional (Gridi-Papp
2014) Dominant frequency is tied to body size in many species of frog and there is some
evidence of frequency plasticity in some species of frog in response to modified
conspecific vocalization (Lopez et al 1988) however it is unclear how universal this is
given the diversity of vocal anuran species and the differing rates of evolution of anuran
vocalization among species (Cocroft and Ryan 1995) As the vocal mechanism is passive
this frequency adjustment is likely achieved through manipulation of the pressures before
and after the larynx and is likely to be energetically costly to change (Gridi-Papp 2014)
Anurans will more readily change the temporal aspects (call rate call duration) of
their calls (Bee and Schwartz 2013) Often call rate and call duration are inversely related
(Bee and Schwartz 2013) so longer calls will be produced less often than shorter calls for
a given species Call rate will increase with increasing temperature as energy levels will
increase at higher temperatures (Wells et al 1996) Frogs will also cease calling after a
disturbance andor alter their timing of calling to take advantage of natural lulls in chorus
noise (Sun and Narins 2005 Velez and Bee 2011) Additionally call rate can be
increased with proximity of other frogs as calling individuals either attempt to attract the
frog (if it is female) or warn it away (if it is another male) (Allan 1973)
Hearing and perception
Hearing in many species of anuran (but not all) occurs when a sound vibrates the
external tympanic membrane located on the side of the head (Mason 2007) From there
vibrations of the tympanic membrane vibrate in turn the stapes which transmits sound
through the oval window to the inner ear The inner ear in amphibians is comprised of
6
two specialized mechanisms the amphibian papilla and the basilar papilla These two
structures are tuned to different frequency ranges the amphibian papilla specializes in
low-frequency sounds and the basilar papilla is more sensitive to higher frequency
ranges (Gerhardt and Bee 2007) Additionally the amphibian papilla frequency range can
be influenced by the external ambient temperature (Lewis and Narins 1999) Hearing in
anurans is thought to be related to the frequency range in which conspecific vocalization
occurs (Gerhardt and Huber 2002) although there are species which can perceive
frequencies outside of that range (Simmons and Moss 1985) However this cannot be
generalized across all species
Localization of conspecific calls in higher vertebrates is dependent on the
difference in arrival time between the two ears which in turn is dependent on the
frequency of the sound being small enough to not exceed the dimensions of the
perceiverrsquos head (Gerhardt and Bee 2007) In anurans this process is considerably more
difficult given the generally small binaural width The exact biophysical process by
which anurans are able to localize conspecific callers is unknown however it is
hypothesized that localization involves some method of pressure differentiation andor
extratympanic input ie the sound may come to the inner ear through multiple pathways
that bypass the tympanic membrane (Gerhardt and Huber 2002) More research is needed
to determine the exact biophysical method of localization in vocalizing anurans
PACIFIC CHORUS FROG LIFE HISTORY
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They range from British
Columbia to Baja California and as far east as Montana (Jones et al 2005) The species
can be found in most still-water aquatic habitats below 10000 feet in elevation (Leonard
1993) They are prolonged breeders and will vocalize in dense choruses from very early
spring or late winter until late spring in a diversity of still-water habitat types While
adults are terrestrial breeding and development of this species is aquatic
Beginning in late winter male Pacific chorus frogs will move from their non-
breeding habitat (usually wooded areas) to still-water breeding habitats Males will then
vocalize not only to establish temporary territories but also to attract females to the
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
LITERATURE CITED
Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
5
the diverse evolutionary and developmental histories of amphibians the wide range of
habitat types in which they are found and the considerable vocal diversity displayed by
anurans generalization of conclusions from one species across others is unlikely to be
reasonable (Narins 2007) Instead a species-by-species approach is likely the best way to
determine vocal behavioral norms
Vocal production
The mechanism for production of calls in anurans involves passive vibration of
vocal membranes in the larynx through movement of air from the lungs into the mouth
and vocal sac which acts as a resonant structure used to amplify the call focus the
energy into the second harmonic and cause the signal to be omnidirectional (Gridi-Papp
2014) Dominant frequency is tied to body size in many species of frog and there is some
evidence of frequency plasticity in some species of frog in response to modified
conspecific vocalization (Lopez et al 1988) however it is unclear how universal this is
given the diversity of vocal anuran species and the differing rates of evolution of anuran
vocalization among species (Cocroft and Ryan 1995) As the vocal mechanism is passive
this frequency adjustment is likely achieved through manipulation of the pressures before
and after the larynx and is likely to be energetically costly to change (Gridi-Papp 2014)
Anurans will more readily change the temporal aspects (call rate call duration) of
their calls (Bee and Schwartz 2013) Often call rate and call duration are inversely related
(Bee and Schwartz 2013) so longer calls will be produced less often than shorter calls for
a given species Call rate will increase with increasing temperature as energy levels will
increase at higher temperatures (Wells et al 1996) Frogs will also cease calling after a
disturbance andor alter their timing of calling to take advantage of natural lulls in chorus
noise (Sun and Narins 2005 Velez and Bee 2011) Additionally call rate can be
increased with proximity of other frogs as calling individuals either attempt to attract the
frog (if it is female) or warn it away (if it is another male) (Allan 1973)
Hearing and perception
Hearing in many species of anuran (but not all) occurs when a sound vibrates the
external tympanic membrane located on the side of the head (Mason 2007) From there
vibrations of the tympanic membrane vibrate in turn the stapes which transmits sound
through the oval window to the inner ear The inner ear in amphibians is comprised of
6
two specialized mechanisms the amphibian papilla and the basilar papilla These two
structures are tuned to different frequency ranges the amphibian papilla specializes in
low-frequency sounds and the basilar papilla is more sensitive to higher frequency
ranges (Gerhardt and Bee 2007) Additionally the amphibian papilla frequency range can
be influenced by the external ambient temperature (Lewis and Narins 1999) Hearing in
anurans is thought to be related to the frequency range in which conspecific vocalization
occurs (Gerhardt and Huber 2002) although there are species which can perceive
frequencies outside of that range (Simmons and Moss 1985) However this cannot be
generalized across all species
Localization of conspecific calls in higher vertebrates is dependent on the
difference in arrival time between the two ears which in turn is dependent on the
frequency of the sound being small enough to not exceed the dimensions of the
perceiverrsquos head (Gerhardt and Bee 2007) In anurans this process is considerably more
difficult given the generally small binaural width The exact biophysical process by
which anurans are able to localize conspecific callers is unknown however it is
hypothesized that localization involves some method of pressure differentiation andor
extratympanic input ie the sound may come to the inner ear through multiple pathways
that bypass the tympanic membrane (Gerhardt and Huber 2002) More research is needed
to determine the exact biophysical method of localization in vocalizing anurans
PACIFIC CHORUS FROG LIFE HISTORY
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They range from British
Columbia to Baja California and as far east as Montana (Jones et al 2005) The species
can be found in most still-water aquatic habitats below 10000 feet in elevation (Leonard
1993) They are prolonged breeders and will vocalize in dense choruses from very early
spring or late winter until late spring in a diversity of still-water habitat types While
adults are terrestrial breeding and development of this species is aquatic
Beginning in late winter male Pacific chorus frogs will move from their non-
breeding habitat (usually wooded areas) to still-water breeding habitats Males will then
vocalize not only to establish temporary territories but also to attract females to the
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
LITERATURE CITED
Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
6
two specialized mechanisms the amphibian papilla and the basilar papilla These two
structures are tuned to different frequency ranges the amphibian papilla specializes in
low-frequency sounds and the basilar papilla is more sensitive to higher frequency
ranges (Gerhardt and Bee 2007) Additionally the amphibian papilla frequency range can
be influenced by the external ambient temperature (Lewis and Narins 1999) Hearing in
anurans is thought to be related to the frequency range in which conspecific vocalization
occurs (Gerhardt and Huber 2002) although there are species which can perceive
frequencies outside of that range (Simmons and Moss 1985) However this cannot be
generalized across all species
Localization of conspecific calls in higher vertebrates is dependent on the
difference in arrival time between the two ears which in turn is dependent on the
frequency of the sound being small enough to not exceed the dimensions of the
perceiverrsquos head (Gerhardt and Bee 2007) In anurans this process is considerably more
difficult given the generally small binaural width The exact biophysical process by
which anurans are able to localize conspecific callers is unknown however it is
hypothesized that localization involves some method of pressure differentiation andor
extratympanic input ie the sound may come to the inner ear through multiple pathways
that bypass the tympanic membrane (Gerhardt and Huber 2002) More research is needed
to determine the exact biophysical method of localization in vocalizing anurans
PACIFIC CHORUS FROG LIFE HISTORY
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They range from British
Columbia to Baja California and as far east as Montana (Jones et al 2005) The species
can be found in most still-water aquatic habitats below 10000 feet in elevation (Leonard
1993) They are prolonged breeders and will vocalize in dense choruses from very early
spring or late winter until late spring in a diversity of still-water habitat types While
adults are terrestrial breeding and development of this species is aquatic
Beginning in late winter male Pacific chorus frogs will move from their non-
breeding habitat (usually wooded areas) to still-water breeding habitats Males will then
vocalize not only to establish temporary territories but also to attract females to the
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
LITERATURE CITED
Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
7
breeding pond (Brattstrom and Warren 1955) It is thought that like many species of
vocal anurans females will use cues within the call to localize and choose a mate (Snyder
and Jameson 1965 Allan 1973)
This species has a characteristic ribbit sound that constitutes an advertisement
call used by males for mate attraction (Snyder and Jameson 1965 Allan 1973) For the
advertisement call most of the energy is centered around the dominant frequency at
approximately 25 kHz (Allan 1973) The call is comprised of two syllables and its
frequency modulates slightly upward in the second syllable (Snyder and Jameson 1965)
Two other calls are produced by males in different contexts one a monosyllabic call is
used when a frog of unknown sex approaches the calling male the second an encounter
trill call is used to defend calling territory from an encroaching male (Allan 1973)
Once a female has chosen a mate the pair will enter amplexus during which the
male will clasp the female under her arms Eggs will be laid in a loose circular clump
attached to vegetation and fertilized externally during amplexus (Jones et al 2005) Eggs
develop into tadpoles within 1-5 weeks (Leonard 1993) Tadpoles in western Oregon
usually metamorphose within 2 months of hatching after which they disperse from their
natal ponds (Nussbaum et al 1983) Movements of Pacific chorus frogs outside of the
breeding season are not well known (Jones et al 2005)
RESEARCH QUESTIONS
We investigated the impacts of road noise on calling Pacific chorus frogs
(Pseudacris regilla) throughout the Willamette Valley across a gradient of noise
exposure Our goal was to determine if there were any changes to acoustic parameters
(call source level frequency rate and duration) in relation to differing levels of road
noise There has been no work done on the behavioral audiogram or female orientation of
this species We used passive acoustic monitoring to document soundscapes at eight sites
and directional acoustic recording to record individual calling frogs at each of those sites
across a breeding season Acoustic parameters were then extracted and compared across a
range of noise exposures and temperatures to determine how Pacific chorus frogs
changed their communication
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
LITERATURE CITED
Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)
8
CHAPTER 2 - Pacific chorus frog acoustic habitat the spatio-temporal constraint of road
noise on communication
Danielle V Nelson Alexander Carbaugh-Rutland Codey L Mathis Anita Morzillo
Holger Klinck and Tiffany S Garcia
9
ABSTRACT
Amphibians are experiencing global population declines and are one of the most
threatened groups of vertebrates This can be attributed to multiple environmental
stressors such as habitat loss disease invasive species and climate change For vocal
amphibian species loss of acoustic habitat due to anthropogenic noise may be yet another
environmental stressor The Pacific chorus frog (Pseudacris regilla) is the most common
vocal species of the Pacific Northwest It is described as a generalist that can occupy
human-dominated habitat types including agricultural and urban wetlands As such this
species is exposed to anthropogenic noise which can interfere with vocalizations during
the breeding season We hypothesized that Pacific chorus frogs would alter the spatial
and temporal structure of their breeding vocalizations to accommodate a widespread
anthropogenic stressor road noise We compared Pacific chorus frog call structure and
ambient road noise levels at 8 sites along a gradient of noise exposures in the Willamette
Valley Oregon USA We used both passive acoustic monitoring and directional
recordings to determine source level (ie amplitude or volume) dominant frequency (ie
pitch) call duration and call rate of individual frogs and to quantify ambient road noise
levels We found that Pacific chorus frogs significantly reduced their call rate at relatively
higher levels of ambient road noise leading to a reduction in the amount of total time
spent calling We found no other changes to call structure (eg frequency and duration)
The absence of additional call structure changes to mediate the impact of road noise
resulted in a drastic reduction in the active call space of an individual frog Coupled with
the decrease in call rate this signifies that communication is significantly reduced both
spatially and temporally This may have implications for the reproductive success of this
species which appears to rely on specific call repertoires to portray relative fitness and
attract mates Reduction of acoustic habitat by anthropogenic noise may emerge as a
compounding environmental stressor for an already sensitive taxonomic group
10
INTRODUCTION
Natural soundscapes or the combination of biotic and abiotic sounds reflect
important ecological processes (Pijanowski Villanueva-Rivera et al 2011) One such
process is animal acoustic communication which is used by multiple taxa to convey
information on mate fitness food availability and often warning signals (Barber et al
2010) Among these vocal taxa are anurans or frogs and toads many species of which
use acoustic communication to attract mates and defend territories (Gerhardt and Huber
2002) Anuran acoustic signals are produced primarily by males during breeding season
and used to portray a fitness advantage over competing males (eg larger body size) to
conspecific females (Gerhardt and Huber 2002) These signals are innate rather than
learned and anurans were thought for a long time to lack the vocal plasticity to change
their vocalizations based on surrounding soundscapes (Narins 2007)
Increasing anthropogenic noise levels and urban encroachment are altering natural
soundscapes in nearly every ecosystem worldwide often to the detriment of organisms
that share and utilize this acoustic space (Clark et al 2009 Barber et al 2011 Dumyahn
and Pijanowski 2011b Tucker et al 2014) The primary sources of anthropogenic noise
are transportation-related (eg motor vehicles air traffic and shipping noise) which
have been found to interfere with acoustic communication through masking or the
reduction of the active space over which the signal (ie vocalization) can be perceived
Traditionally this active space has been described as the spatial projection of
vocalizations but it can also be characterized along a temporal axis Thus active space is
actually an active three-dimensional communication space-time Signal masking and the
reduction of active communication space-time can constrain animal communication
which can adversely impact reproductive success through loss of important
communicated information such as mate fitness or foraging location (McGregor et al
2013) This has been found in many taxa from whales (Clark et al 2009) to bats (Hage et
al 2013) to birds (Slabbekoorn 2003)
Acoustic species including anurans can modify their vocalizations to compensate
for masking and optimize their communication space-time There are several call
parameters that can be shifted by vocal species Increasing source level (changing signal
11
amplitude or getting louder) in the face of noise masking termed the Lombard effect
(Zollinger and Brumm 2011) is a mechanism for maintaining communication dynamics
in an increasingly noisy environment The Lombard effect has been detected in response
to masking in songbirds (Brumm and Todt 2002) killer whales (Holt et al 2009) bats
(Hage et al 2013) and several other species (Zollinger and Brumm 2011) however
there is no conclusive evidence of the Lombard effect in vocalizing anurans (Bee and
Schwartz 2013) While it is possible for at least one species of frog to change the
amplitude of its vocalization (Lopez et al 1988) of the few studies done examining the
response in source level to noise none has shown an increase in amplitude in vocalizing
male frogs in response to noise
Another mechanism to compensate for masking by noise is to change the
temporal aspect of calls (Bee and Schwartz 2013) such as altering the timing of
vocalizations by changing the duration of the call or by changing how often the call is
produced This response is common in many species of anurans (Lengagne 2008 Kaiser
and Hammers 2009 Cunnington and Fahrig 2010) Lastly acoustic species can change
the call frequency (often described as pitch) so it doesnrsquot overlap that of the noise
(McGregor et al 2013) This method has been seen in both birds (Slabbekoorn and Peet
2003) and anurans (Kaiser and Hammers 2009) It is unclear whether the active space (or
space-time) of a communicating animal is increased andor maintained by these changes
to vocalization behavior
While anuran acoustic communication has been studied for many years
significant data gaps exist regarding species response to anthropogenic noise and the
population and community-level implications of this response (or lack of response)
particularly as they relate to constraints in communication space-time The predominant
response to noise in vocalizing anurans is changes in the temporal patterning of calls (rate
and duration (Bee and Schwartz 2013) Interestingly changes in call duration and call
rate are often negatively correlated (Bee and Schwartz 2013) when a vocalizing frog
reduces call rate it will often increase call duration For example several frog species
across different habitats have been found to reduce their call rate in the presence of traffic
noise A reduction in call rate may indicate the reduction of the total time spent calling if
there is no corresponding increase in duration However it remains unclear the extent to
12
which these modifications of anuran vocalizations increase the active space-time for an
individual or how these modifications impact energy expenditure or induce trade-offs
with other important behaviors or traits (Bee and Schwartz 2013 McGregor et al 2013)
The Pacific chorus frog (Pseudacris regilla) is a small (3-4 cm) highly vocal
anuran native to the western United States (Jones et al 2005) They are prolonged
breeders and will vocalize in dense choruses from very early spring or late winter until
late spring in a diversity of still water habitat types They have a characteristic ldquoribbitrdquo
sound that constitutes an advertisement call used by males for mate attraction (Snyder
and Jameson 1965 Allan 1973) For the advertisement call most of the energy is
centered around the dominant frequency at approximately 25 kHz (Allan 1973) The call
is comprised of two syllables and its frequency modulates slightly upward in the second
syllable (Snyder and Jameson 1965) The Pacific chorus frog is an ideal study species to
examine road noise impacts as it breeds readily in both noisy disturbed habitats as well
as quiet undisturbed habitats (Jones et al 2005) Further the lower frequency bands of
its calls overlap with the upper frequencies of road noise which may mask
communication
We studied the call structure of populations of Pacific chorus frogs at eight
breeding sites in the Willamette Valley Oregon across a gradient of traffic noise
exposures to quantify changes in dominant frequency call rate duration and source level
in response to differing levels of noise We predicted that frogs would adjust their call
structure in a way that would maintain their active communication space-time in noisy
areas We expected that dominant frequency would increase with increasing levels of
road noise and that call duration and call rate would be inversely correlated and
dependent on road noise level We did not expect to see any difference in call source
level because of previous literature indicating that the Lombard effect is not seen in
anurans (Bee and Schwartz 2013) We also examined the relationship between seasonal
temperature shifts and call parameters to determine the potential compounding effects of
temperature and noise on call structure Together we provide the first three-dimensional
characterization of anuran vocalization across a wide range of noise exposures and
evidence for noise impacts on their communication space-time
13
METHODS
Field methods
Acoustic monitoring sites were determined based on the existence of breeding
populations of Pacific chorus frogs and landowner cooperation for access to breeding
ponds Based on these criteria sites were chosen across a gradient of noise exposures
determined by varying distance from roads with greater than 30000 Annual Average
Daily Traffic (AADT from Oregon Dept of Transportation) Monitoring and sampling
was conducted over two years (2014-2015) during two consecutive Pacific chorus frog
breeding seasons (February-May) Meteorological data for both years was taken from the
weather station in Finley National Wildlife Refuge Corvallis OR (Figure 1)
Passive acoustic recorders
We utilized passive acoustic recordings to document the soundscape of each
breeding site We characterized the anthropogenic and anuran components of each sitersquos
soundscape over the course of the breeding season by quantifying ambient road noise
levels and timing as well as general chorus structure Passive recorders
(WildlifeAcoustics Songmeter models SM1 SM2 and SM2+ with two microphones
recording in stereo microphone sensitivity -35 plusmn 4 dB for SM1 -36 plusmn 4 for SM2 and
SM2+) were installed at all sites (Table 1 Figure 1) and left in place for the duration of
the breeding season Battery changes and data storage downloads were performed
biweekly Recorder sampling rate was set at 441 kHz with 16-bit resolution producing
recordings with a frequency range of 0-22050 Hz Gain settings varied by recorder
(Table 1)
Songmeter recording schedules in 2014 were based on the timing of sunset due to
the crepuscular nature of calling in this species (Allan 1973) Recordings began one hour
before sunset and continued for 4 hours total This schedule operated daily and tracked
sunset based on input GPS coordinates In 2015 the recording schedule was extended to
8 hours from 4pm to midnight daily (Feb 1 - Apr 5) and then from 4pm to 2am daily
(Apr 6 - end of breeding chorus activity) this was done to attempt to capture the end of
the chorus each night but was unsuccessful The change in recording time has no effect
14
on any of the results presented here Recorder time was not changed to compensate for
daylight savings time therefore all recordings were made in Pacific Standard Time
Directional acoustic recording
In both years frogs were chosen for recording haphazardly Individual calling
frogs were localized by the observer before recording began All sources of visible light
used by the observer were extinguished prior to recording to minimize disturbance to the
animal and the animal was allowed to begin calling again after approaching it before
recording was begun Gain settings on the Zoom H4n recorder were adjusted to maximize
individual detectability prior to the start of recording Recording surveys were done in
such a way to minimize the possibility of recording the same individual more than once
per night by consistently walking in one direction and not returning to areas where a frog
had already been recorded Additionally recording surveys were started at different
haphazardly chosen points each survey night to reduce the possibility of recording the
same individual more than once per recording season
Directional recording was completed at four sites in 2014 and at seven sites in
2015 (three of the four 2014 sites and four additional sites) Eight different sites total
were used These recordings quantified and allowed for categorization of multiple
individual frog call parameters within each site Individual frogs were recorded in situ for
3-5 minutes and measurement of distance from the microphone to an individual frog was
done after recording was complete The recording equipment was comprised of a
Sennheiser MKH20 microphone (sensitivity 0025 Vpa) in a Telinga parabolic
directional housing attached to a Zoom H4n recorder with SD storage Single channel
recordings at a sampling rate of 441 kHz with 16-bit resolution were produced Gain
settings were manually adjusted on the H4n recorder to maximize individual frog
detectability and were noted for later reference
During 2014 17 total successful individual frog recordings were made Distance
from the microphone to the frog was taken with a tape measure after recording was
complete Four to eight were recorded per site (Table 1) During 2015 recording was
conducted at seven sites Recordings were taken throughout the breeding season in order
to account for any possible seasonal effects At least 10 frogs were recorded per site with
15
80 total frogs recorded across both years After recording was complete the distance
from the microphone to the frog was measured and documented with a tape measure At
least 5 minutes were allowed to pass between individual recordings to allow surrounding
frogs to recover from any disturbance by the observers
Data processing and analysis
Passive acoustic recorders
Data were processed using program SoX (Bagwell 2013) using an R script which
enables batch processing of large audio files All data were initially processed into single-
channel audio files Audio files were put through a 1-45 kHz bandpass filter to highlight
any noise within the bandwidth of the Pacific chorus frog call SoX was used to extract
RMS amplitude measures on this limited bandwidth To determine ambient road noise
level without confounded frog chorusing for a given night of directional recording the
RMS amplitude of the files between 1600 and 1700 was averaged and converted in
program R to decibel (dB re 20 micropascal) measurements using microphone
specifications and gain settings This time period was chosen because it is very unlikely
that there would be a substantial frog chorus in those hours (pre-sunset) during the
breeding season as such it constitutes an accurate assessment of the ambient road noise
levels at each site given the lack of a substantial rush hour along this section of Interstate
5 because of lack of proximity to large cities (Schaub and Larsen 1978)
Directional acoustic recordings
Spectrograms of each directional recording were generated using RavenPro 15
with 256 point Fast Fourier Transform (FFT) Hann window and 50 overlap and the
MATLAB-based program Osprey using the same parameters except a Hamming window
Recordings were manually reviewed and each call from an individual frog was counted
using RavenPro 15 (Cornell Lab of Ornithology) Calls that did not overlap with other
individual frog calls and which had visually and aurally distinctive start and end points
were selected for further analysis of frequency time and source level parameters
Selections were manually drawn to encompass the start and end points of each two-
16
syllable call To encompass the majority of the energy of each call while excluding most
of the low-frequency road noise measurements were restricted to the bandwidth of 1-45
kHz Within this bandwidth filtered RMS source levels were extracted using SoX and
converted in R using the microphone specifications and recorder gain settings to decibel
level (dB re 20 micropascals) Peak overall frequency measures were taken using a 8192-
point FFT based on the 3dB filter bandwidth of 775 Hz
These selected calls were then analyzed for parameters (dominant frequency and
duration) from the Noise-Resistant Feature Set (NRFS (Mellinger and Bradbury 2007)
within the MATLAB-based program Osprey While the NRFS was designed to be used
for measurement and classification of marine animal sounds in noisy environments it has
robustly extracted parameters from terrestrial recordings as well The NRFS allows the
loudest parts of the spectrogram to have the strongest influence on the calculated feature
values (Mellinger and Bradbury 2007) These parameters correspond to more traditional
acoustic measurements but are considered more robust to attenuation and noise
conditions This is particularly important for this study given the range of noise
conditions found across the sites depending on proximity to high-volume roads Measures
used from the NRFS were duration (M5) and frequency of peak overall intensity (M20)
Once acoustic analysis was complete for directional recordings all data were imported
into R (R Core Team 2015) for statistical analyses
Call parameters extracted from the directional recordings for the purposes of this
study were filtered RMS source level (later converted to dB re 20 micropascal) call
duration (s) peak overall frequency (Hz) and call rate (defined as the number of calls per
minute of recording) Analysis was performed at the level of an individual calling male
frog call duration peak overall frequency and filtered RMS source level were averaged
across all calls for an individual Ambient noise measures were extracted per day of
directional recording in the bandwidth of 1-45 kHz during the hours of 1600-1700 to
prevent confounding of noise measurements by the frog chorus In addition temperature
measurements that were taken at hourly intervals over each day were also averaged
between the hours of 1900 and 2200 for a given night of directional recording Noise
levels were modeled by site against the distance from a road with AADT (annual average
daily traffic) greater than or equal to 30000 cars to maximize noise exposure Of the 105
17
frogs recorded (year 1 n = 25 year 2 n = 80) 90 frog recordings (year 1 n = 20 year 2
n = 70) were deemed useable for further analysis due to lack of overlap with other calling
frogs and high signal-to-noise ratio Passive recorder failure occurred on several days
throughout each season due to battery failure andor poor weather conditions Therefore
only days with complete data were used in noise analyses
Statistical analysis
To examine the effects of road noise and temperature covariates on Pacific chorus
frog call structure we constructed a linear mixed effects model The response variables
of interest were source level frequency call rate and call duration for individual frogs
All response variable data were normally distributed and no transformations were
necessary The variables noise and temperature were included as fixed main effects
(covariates) and site was included as a random effect to account for any random error
created by breeding site-level differences Models of each response variable against
seasonality were examined no effect of date or seasonality was found so the term was
dropped from all subsequent models After accounting for the effects of temperature and
ambient road noise no significant interaction was found between ambient road noise and
temperature in any model Therefore all models were run without an interaction term
Visual inspection of residual plots did not reveal any obvious deviations from
homoscedasticity or normality for the parameters of call rate mean frequency and mean
source level Heteroscedasticity was observed for the model for duration so assumptions
of equal variance were relaxed All statistical analyses were conducted using R (R Core
Team 2015) and package nlme (Pinheiro and Bates 2015)
Active communication space-time model
A model was created (Eq 1) of the received level (RL) for individual frogs based
on a) the source levels (s) and call frequencies (f) of frogs in this study and b) ambient
road noise levels (n) across our breeding sites (Embleton 1996) At the distances and
frequencies we observed for this species atmospheric absorption had a negligible effect
on received levels and was therefore excluded from the model
18
= $ minus 20 log+ - Equation 1
Using this model of attenuation the radius (r) at which the received level was
attenuated to the point at which it could no longer be heard over the background noise n
was calculated This was then used to calculate the circular area of the communication
space Additionally a temporal component was incorporated by using the predicted call
rates from given temperatures and noise levels based on the statistical model Using these
and a constant duration (d = 016 s) the space-time was calculated from a time-area
calculation (Miller 1999) of an individual calling frog for a given minute at a given
temperature of 10 degrees C (Eq 2)
$012341 = 055-21(78-9) Equation 2
RESULTS
Ambient noise levels
Ambient noise levels differed among sites decreasing with increasing distance
from a road with 30000 or more average cars per day which encompassed Interstate 5
and some areas of Highway 99 near Salem When modeled against A = 1distance^2 as
predicted by the inverse square law for sound propagation outdoors (Embleton 1996)
noise levels differed significantly with increasing distance (t6 = -633 p lt 0005) Sites
close to busy roads (lt 1 km) averaged 5227 dB (SE plusmn04714) during the hours of 1600-
1700 daily while sites farther from busy roads (gt 1 km) averaged 3748 dB (SE
plusmn06633) during those hours (Figure 3) Ambient noise at sites far from roads was due to
wind and rain air traffic flyover bird vocalization and vehicular maintenance at the
sites We found no seasonal or hourly difference in ambient road noise levels at any of
the sites
Call structure
Temperature was found to have a significant effect on call duration (t80 = -5417
p lt 0000) For every 1-degree Celsius increase in temperature call duration was
estimated to decrease by 0008 seconds (SE plusmn1478 x 10-3) Temperature was also found
19
to have a significant effect on call rate (t80 = 3066 p = 0003) For every 1 degree
Celsius increase in temperature call rate is estimated to increase by 178 calls per minute
(SE plusmn0579 Figure 5) However this response is mediated by ambient road noise The
call rates of Pacific chorus frogs decreased significantly with increasing levels of ambient
noise but the magnitude of this response was dependent upon temperature (t80 = -2190 p
= 003 Fig 3) Based on the model it is estimated that a frog will decrease its call rate by
045 calls per minute (SE plusmn0206) per every 1 dB of increasing noise at a given
temperature level keeping temperature constant as in each line in Figure 5 call rate is
lower at higher noise levels and lower temperatures While the difference is small and
falls within the standard deviation of call rate for each site (Table 2) it still constitutes a
significant reduction in the time spent calling Pacific chorus frogs were not found to
change source level (t80 = -0626 p = 05334) or call duration (t80 = 1232 p = 0221) in
response to differing levels of noise exposure The response of peak overall frequency to
noise exposure was weakly significant (t80 = -1916 p = 00589) however the estimated
effect (306 Hz1 dB increase) falls below what would be a significant change in
frequency response We found no seasonal difference in call structure at any of the sites
Active communication space-time
The three-dimensional active communication space-time is reduced for an
individual Pacific chorus frog at sites with relatively high noise levels We identified a
temporal component to male vocalizations at breeding sites nearer to busy roads with
higher ambient road noise levels which was characterized by a reduction in their calling
rates and less time spent calling (Figure 5) Based on modeled data a reduction in the
spatial radius of vocalizations and the total time spent calling were found Therefore there
was an overall reduction in the time-area of communication by several orders of
magnitude at the loudest noise levels observed compared to the quietest (Table 4 Figure
3)
DISCUSSION
20
Our study quantified the effects of ambient road noise on the call structure of
Pacific chorus frogs Noise levels decreased significantly with increasing distance from a
major road with traffic levels above 30000 AADT After accounting for temperature we
found a significant reduction in male calling rate with increasing road noise levels Call
rate was reduced linearly with increasing noise levels by 045 calls per decibel but
temperature determined the magnitude of reduction in calling rate (Figure 5) While
temperature had a significant effect on both call rate and call duration we found no effect
of road noise levels on call duration or source levels The response of frequency was
weakly statistically significant but did not qualify as biologically significant as the
largest shifts between quiet sites and loud sites would still fall within the range of the
standard deviation for a given site
Communication is reduced both spatially and temporally for male Pacific chorus
frogs Using both the reduction in total time spent calling and our model of the reduction
of communication space we created an interactive framework (seen at
httpsdayvayenshinyappsiocirclevis) For any given minute this framework indicates
that the communication space-time is drastically reduced for an individual Pacific chorus
frog at sites with relatively high noise levels (Figure 6) While temperature has a larger
overall impact than noise does according to our model the temperatures observed at the
sites examined did not differ enough among themselves to make a large difference
Therefore at a constant temperature as one would find across the gradient of noise
exposure at our sites noise reduced call rate Even as temperatures warm seasonally or
through global climate change for a given temperature noisier ponds would have a
reduced call rate compared to quieter ponds Thus we have demonstrated that masking of
advertisement calls in this species by road noise significantly impacts active
communication space-time While this model represents an idealized situation because it
fails to account for vegetation position of vocalizing frog temperature and substrate
(Forrest 1994) it can still inform our comparison of high-noise vs low-noise
environments and how management intervention might reduce the impact of noise and
optimize communication space-time for this species
Given the general behavioral plasticity in call rate of anurans (Gerhardt and Huber
2002) it is likely that the reduction in call rate is a plastic response to site-specific road
21
noise levels However further study is needed to determine if this response is plastic or
adaptive as this response could be representative of localized adaptation to chronic noise
levels Call rate reduction has been found in other anuran species experiencing high noise
levels (Lengagne 2008 Cunnington and Fahrig 2010 Herrera-Montes and Aide 2011)
however this increase in call rate was paired with a corresponding increase in the
duration of each call (Bee and Schwartz 2013) While we found no correlative
relationship between these parameters both were significantly related to temperature A
decrease in call rate results in a direct reduction in the total amount of time spent calling
albeit not the call duration per se of an individual vocalization This has significant
implications for reproductive success in noisy areas as females may have less total time
to assess males Females use auditory cues embedded in male calls to assess relative
fitness (Gerhardt and Huber 2002) These include dominant frequency to assess potential
mate size as well as call rate to assess overall energy use and fitness a fitter healthier
male will call more often per minute (Wells et al 1996) Frogs at noisier ponds may
therefore be indicating a comparatively lower level of fitness whether or not their fitness
is actually lower Additionally females use the calls of males especially in choruses to
orient toward breeding ponds at the onset of breeding season (Narins 2007) With fewer
opportunities to judge mate fitness the perception of lower fitness due to reduced call
rate and a decreased distance over which calls can be perceived females may be
incorrectly assessing and thus responding to advertising males or even not responding to
males at all Further the masking of choruses by road noise could inhibit females from
efficiently localizing to breeding ponds in the first place
Males that communicate within the bandwidth of ambient road noise will likely
experience selective pressure to adjust their call parameters to differentiate the signal
from background noise (ie the acoustic adaptation hypothesis (Wiley 2013)
Hypothetically this may be accomplished by shifting the frequency of the vocalization
such that it no longer overlaps with the background noise by increasing the amplitude of
the vocalization to increase the signal-to-noise ratio and propagate further or by
increasing the duration of the vocalization to provide a longer opportunity for perception
(Wiley 2013) Other than call rate we found none of these acoustic adaptations in our
22
study call rate reduction does not aid in differentiation of the sound from background
levels and in fact creates fewer opportunities for doing so
This finding implies that Pacific chorus frogs may lack the capacity to modify
their vocalizations in such a way that allows them to be heard over increasing noise
levels Without behaviorally or phenotypically plastic vocal adaptation to higher noise
levels it is likely that frogs living in high-noise areas such as found next to a highway
are at a disadvantage when trying to communicate We have also identified a significant
reduction in the communication space-time for Pacific chorus frog populations near noisy
roads It is likely that species such as the Pacific chorus frog that lack vocal plasticity that
will suffer most from noise pollution Without mechanisms to adjust their call structure to
accommodate high noise levels species that cannot expand their active space-time will
be more impacted by the masking effects of noise than other species
The effects masking may have on communication fitness stress levels or
reproductive success are unclear for this species more research is needed to determine
what impacts masking can have when vocal compensation is limited Female responses to
male vocalizations at different noise levels in this species are unknown and future work
should focus on determining how signal discrimination by females is altered by noisy
environments in this species in a congeneric Pseudacris crucifer low to moderate noise
levels induced a desensitization of the auditory system which in turn led to higher
stimulus levels for auditory nerve saturation (Schwartz and Gerhardt 1989) It is also
unclear if the reduction in communication space-time for an individual male may lead to
suboptimal female mate choice Future work should focus on evaluating female responses
to male vocalizations at different noise levels Noise has already been found to increase
stress hormone levels and prevent accurate orientation in female wood frogs (Tennessen
and Parks 2014) this may interact with the masking effects of noise and possibly impact
reproductive success though this interaction has yet to be explored Wollerman et al
(2002) found that female Hyla ebraccata became less choosy between calls of differing
frequencies when exposed to moderate levels of noise such as would be found at the sites
in this study While we did not find any evidence of shifting dominant frequency in our
study this does not mean that the range of frequencies produced gives males the same
amount of mating success especially given how dependent dominant frequency is on
23
body size Furthermore there are still substantial knowledge gaps with regards to the
impacts of chronic noise exposure on males In choruses inter-male spacing and
potentially antagonistic interaction can be very important to the outcome of breeding
events Lengagne (2008) noted that social context had a strong effect on how Hyla
arborea shifted its calling behavior in noisy environments He predicted that the active
space of the chorus would be reduced if there were not enough males present to socially
buffer the impacts of noise Thus as a collective group smaller choruses may lead to
inefficient orientation to breeding ponds by both males and females
Additionally call rate has been found to be density-dependent in other species of
chorusing frogs (Wong et al) call rate is increased in a social situation as opposed to in a
solitary situation (Lengagne 2008 Wong et al) Our results showed a decrease in call
rate with increasing noise levels While we were careful to record at sites that had a
chorus of individuals the size of the chorus was not quantified Therefore although we
have postulated that this may be a plastic behavior in response to high levels of noise it
may be that the decreased call rate is indicative of less dense populations at noisier areas
Therefore the decreased call rate found at noisier sites may actually be indicating less
dense choruses and populations Measuring the call rate of populations may therefore be
a way of indicating population density and deserves further study If population
structures are different at sites with higher noise levels either through less dense choruses
or greater nearest-neighbor distances (Sullivan and Wagner 1988) then high-noise sites
may indicate less fit populations even without a direct impact of noise itself Regardless
where chorus situations had previously mediated the impacts of noise on call rate in other
species (Lengagne 2008) here we found that even within a chorus call rate was reduced
for an individual calling frog at sites with higher noise levels
Lastly we do not know how noise may interact synergistically with other
stressors such as invasive species disease or overall habitat degradation to impact vocal
amphibians While it is likely that noise is not the most severe stressor to which
amphibians are regularly exposed (McGregor et al 2013) it may induce a similar stress
response or exacerbate already degraded habitat As discussed above noise induces
elevated corticosteroid levels in at least one species of frog and across other taxa noise
has been found to cause elevated stress hormone responses that have physiological
24
impacts including decreased growth increased development time and
immunosuppression (Gabor Bosch et al 2013) Recently embryonic mortality and nest
success was found to be deleteriously impacted by increased levels of road noise in
captive zebra finches due to increased stress hormone production (Potvin and
MacDougall-Shackleton 2015) Noise on its own can cause decreased body condition in
migratory birds without the compounding effects of habitat fragmentation caused by the
road itself (Ware et al 2015) More work is needed to determine how noise interacts with
other stressors and how this impacts vocalizing anurans
Infrastructure improvements can aid in noise level reduction The installation of
sound barriers alongside particularly busy stretches of highway can reduce a considerable
amount of noise exposure these can be constructed of concrete or other building
materials (Sanchez-Perez et al 2002) or be as simple as a row of dense trees or a berm
with vegetation on top of it to create a vegetative barrier (Van Renterghem and
Botteldooren 2012) Advancements in environmentally-friendly vehicle technology have
also resulted in quieter cars (Komada and Yoshioka 2005) pushing this development into
trucking will have far-reaching effects As unlikely as it is reducing the speed limit in
critical habitat areas can reduce the noise levels from transportation considerably
Understanding how extremely threatened taxa like amphibians (McCallum 2009
Sep 2) respond to novel stressors such as anthropogenic noise can help us determine
better management and conservation methods From both this study and existing
literature on anthropogenic noise impacts on calling anurans it is clear that there is no
unifying strategy to compensate for masking and the reduction in communication space-
time While some species may show enough vocal plasticity to compensate for the
constraints of noise on their communication strategies (Cunnington and Fahrig 2010)
many other species may lack that mechanism and may therefore suffer more and need our
protection from noise pollution In the face of major threats such as climate change
disease and invasive species it is important to take into account other stressors which
may interact synergistically to best conserve amphibians worldwide
25
TABLES
Table 1 List of sites years recorded gain settings number of frogs (n) and number of recording nights (nights where directional recording took place)
26
Table 2 summary of parameters by site Mean recording distance is the average of the distance between the microphone and the frog recorded over all
recording sessions
27
Table 3 model statistics for call rate frequency duration and source level
28
Table 4 Radius and active communication space time (Time-area) related to noise level and call rate
29
FIGURES
Figure 1 sites used for analysis Year 1 Talking Water Gardens Finley Finger Bond Butte and Jackson
Frazier Year 2 all but Talking Water Gardens
30
Figure 2 a) 1-second spectrogram of a single Pacific chorus frog call b) 15-second spectrogram of road
noise in overlapping bandwidth of frog call
31
Figure 3 ambient road noise levels (dB re 20 micropa) per site against distance from busy road (km) (t6 = -633
p lt 0005)
32
Figure 4 confidence intervals of slope estimates for each parameter of interest
33
Figure 5 a) raw data of call rate against noise level color-coded by temperature b) raw data of call rate
between 9 and 12 degrees C against noise level with linear model c) predicted relationship of call rate
against noise level at each temperature (color-coded)
34
Figure 6 model of communication space-time for each site represented by the circles and their size as a
factor of distance from busy road and noise level Radius is measured in meters and call rate is measured in
calls per minute
35
CHAPTER 3 ndash Conclusions
We explored the impacts of road noise on Pacific chorus frog communication by
recording individual frogs and their respective soundscapes across a gradient of road
noise exposure generated by an interstate highway We used both passive acoustic
monitoring to document soundscapes as well as directional acoustic recording to quantify
parameters of interest (source level frequency call rate and call duration) in individual
calling male frogs No changes were observed in relation to noise for source level
frequency or call duration However we found that through masking and the reduction
of call rate at relatively high-noise sites communication space-time was dramatically
reduced for an individual calling frog
This study showed that chronic road noise does alter the vocalizations of even a
very generalist species to its detriment This has serious implications for mating success
in noisy areas as female frogs rely on cues within the malersquos call to assess mate fitness
Both females and males use calls from conspecifics to locate the breeding ponds
(Gerhardt and Huber 2002) a reduction in communication space-time entails a smaller
space and fewer opportunities for orientation and mate assessment While it is unclear
exactly how population dynamics could be impacted this shift in communication space-
time conservation efforts that have previously focused on other habitat aspects should
also consider the often-ignored soundscape Protection of communication space-time for
vocalizing Pacific chorus frogs through vegetation or man-made barriers could reverse
the call rate reduction and increase the space over which an individualrsquos call can be
heard while also providing the benefit of a quieter less anthropogenic-influenced
soundscape for all the other species within the habitat Indeed healthy soundscapes are
often a good indicator of ecosystem health in general (Pekin et al 2012) so listening may
be a cost-effective alternative to other forms of monitoring
This study suffered from several limitations and setbacks Initially we planned to
examine twelve sites divided into two groups near-highway and far-highway allowing
for a larger sample size within a given noise treatment However issues arose with the
disappearance of frog breeding from formerly robust near-highway sites between 2014
and 2015 The sites at which this occurred were Talking Water Gardens Ankeny Frog
Pond (the Ankeny site was moved across the road to Ankeny Wood Duck Pond) and a
36
Malpass Farms site that was not included in this analysis The reason for these
disappearances is unknown but is likely influenced by invasive American bullfrogs
(Lithobates catesbianus) Because of this sites were taken to be individual across a
gradient of noise exposure rather than within a group
Study of choruses as a whole was originally planned with data to be extracted
from passive acoustic monitoring We intended to examine the dominant frequency of the
chorus as a whole as well as chorus start and end time and compare across a gradient of
noise exposure This would have given us an idea of some of the social impacts of road
noise as well as other temporal effects such as shifting of chorus start or duration
However this proved to be impossible because the chorus data could not be extracted
from road noise through acoustic analysis or aural-visual assessment at sites with high
noise levels We anticipated this shift in chorus timing would coincide with a predictable
shift in road noise levels due to higher traffic levels at rush hour However this shift in
road noise levels was not seen on this particular highway system This may be because
the portion of Interstate 5 through the Willamette Valley has a more constant traffic
pattern than it would nearer an urban area such as Portland with a commuter presence
We also did not thoroughly examine population differences between sites which
may account for some of the differences we encountered During 2015 two-part visual
encounter surveys were performed for every night of directional recording following the
protocol outlined by Olson et al (1997) The first nightly survey was done during daylight
hours and consisted of a 30-minute visual encounter survey for Pacific chorus frog egg
masses only The second nightly survey was done just prior to the start of recording after
chorusing had begun and consisted of a 30-minute visual encounter survey for Pacific
chorus frog adults As animals were encountered they were captured if possible
weighed measured for snout-vent length and sexed If they were not captured they were
still recorded as being encountered with their behavior and substrate also noted This
visual survey data while valuable for a baseline and for training purposes was not
sufficient to quantify any differences in population structures or reproductive success
between sites
Additionally we did not take any data about the physical habitat aside from
temperature relative humidity and noise level we cannot therefore make any claim to
37
the causality of the shifts in vocalization behavior we saw We are unaware of any studies
on female perception in this species and we are therefore unable to say if the
implications for female performance are correct Further work needs to explore the
female side of noise impacts in anurans and document how they react to communication
signals and the reduction in active communication space-time in high-noise
environments
Lastly this study does not take into account any social effects such as chorusing
or male spacing Males were recorded in a chorus situation but the situation was not
standardized nor was inter-male spacing taken into account It may be that this species
shifts its call rate differently when in a dense chorus situation than when in a relatively
sparse chorus situation Future work should address these social influences as they have
been found to have large impacts on the behavior of calling males in other species of
anurans (Lengagne 2008)
This study lays the groundwork for further study into the impacts of road noise on
amphibians in the Pacific Northwest The relatively small number of above-water vocal
species in this area provides an ideal study system to further examine how road noise
impacts anuran frog vocalization communication fitness and reproductive success and
how noise compounds with other stressors such as habitat degradation and invasive
species Most studies of anthropogenic noise impacts including this one discuss the
implications of masking compensation (or lack thereof) on reproductive success
however very few actually demonstrate any evidence of tangible impact on populations
or communities
Continuing study of this system will involve examining those implications more
thoroughly It has already been established that road noise causes stress in vocal species
of frog (Tennessen and Parks 2014) and stress has been found to cause decreased growth
and immunosuppression in amphibians (Gabor Fisher et al 2013) By manipulating
noise levels in the lab we can further examine the relationship between noise and stress
hormones Further we can then use those results to investigate how stress hormones
impact reproductive success by looking at metrics of reproductive success such as sperm
motility in males and egg count in females These laboratory experiments can be
corroborated with observations in the field in order to determine if there is a population-
38
level impact on this species of high levels of noise Additionally we would like to
examine how noise may be compounded with other stressors such as invasive species
and if invasive species are more robust against the stress of noise than native species
Through this further study we hope to more thoroughly examine the impacts of
anthropogenic noise on population and community structure of anurans in the Pacific
Northwest
39
LITERATURE CITED
Allan D 1973 Some relationships of vocalization to behavior in the Pacific treefrog Hyla regilla Herpetologicandash
Bagwell C 2013 Sound eXchange
Barber JR Burdett CL Reed SE Warner KA Formichella C Crooks KR Theobald DM Fristrup KM 2011 Anthropogenic noise exposure in protected natural areas estimating the scale of ecological consequences Landscape Ecology 261281ndash1295
Barber JR Crooks KR Fristrup KM 2010 The costs of chronic noise exposure for terrestrial organisms Trends in Ecology amp Evolution 25180ndash189
Bee MA Schwartz JJ 2013 Anuran Acoustic Signal Production in Noisy Environments In Brumm H editor Animal Communication and Noise Berlin Heidelberg Springer Berlin Heidelberg
Bradbury JW Vehrencamp SL 2011 Principles of Animal Communication 2nd ed Sinauer Associates
Brattstrom BH Warren JW 1955 Observations on the Ecology and Behavior of the Pacific Treefrog Hyla regilla Copeia 1955181
Brumm H Todt D 2002 Noise-dependent song amplitude regulation in a territorial songbird Animal Behaviour 63891ndash897
Clark CW Ellison WT Southall BL Hatch LT 2009 Acoustic masking in marine ecosystems intuitions analysis and implication hellip Ecology Progress Series
Cocroft RB Ryan MJ 1995 Patterns of advertisement call evolution in toads and chorus frogs Animal Behaviour 49283ndash303
Cunnington GM Fahrig L 2010 Plasticity in the vocalizations of anurans in response to traffic noise Acta Oecologica 36463ndash470
Dumyahn SL Pijanowski BC 2011a Beyond noise mitigation managing soundscapes as common-pool resources Landscape Ecology1ndash16
Dumyahn SL Pijanowski BC 2011b Soundscape conservation Landscape Ecology 261327ndash1344
Embleton TFW 1996 Tutorial on sound propagation outdoors J Acoust Soc Am 10031ndash48
Forrest TG 1994 From Sender to Receiver Propagation and Environmental Effects on Acoustic Signals Amer Zool 34644ndash654
40
Gabor CR Bosch J Fries JN Davis DR 2013 A non-invasive water-borne hormone assay for amphibians Amphibia-Reptilia 34151ndash162
Gabor CR Fisher MC Bosch J 2013 A Non-Invasive Stress Assay Shows That Tadpole Populations Infected with Batrachochytrium dendrobatidis Have Elevated Corticosterone Levels PLoS ONE 8e56054
Gerhardt HC Bee MA 2007 Recognition and Localization of Acoustic Signals In Hearing and sound communication in amphibians
Gerhardt HC Huber F 2002 Acoustic communication in insects and anurans common problems and diverse solutions Chicago University of Chicago Press
Hage SR Jiang T Berquist SW Feng J Metzner W 2013 Ambient noise induces independent shifts in call frequency and amplitude within the Lombard effect in echolocating bats PNAS 1104063ndash4068
Herrera-Montes MI Aide TM 2011 Impacts of traffic noise on anuran and bird communities Urban Ecosyst
Holderied M Korine C Moritz T 2011 Hemprichrsquos long-eared bat (Otonycteris hemprichii) as a predator of scorpions whispering echolocation passive gleaning and prey selection J Comp Physiol A 197425ndash433
Holt MM Noren DP Veirs V Emmons CK Veirs S 2009 Speaking up Killer whales (Orcinus orca) increase their call amplitude in response to vessel noise J Acoust Soc Am 125EL27ndash6
Jones LLC Olson DH Seattle Audubon Society 2005 Amphibians of the Pacific Northwest Seattle WA Seattle Audubon Society
Kaiser K Hammers JL 2009 The effect of anthropogenic noise on male advertisement call rate in the neotropical treefrog Dendropsophus triangulum Behaviour
Komada M Yoshioka T 2005 Noise and Vibration Reduction Technology in New Generation Hybrid Vehicle Development NVC 12005ndash01ndash2294
Lengagne T 2008 Traffic noise affects communication behaviour in a breeding anuran Hyla arborea Biological Conservation
Leonard WP 1993 Amphibians of Washington and Oregon
Lewis ER Narins PM 1999 The Acoustic Periphery of Amphibians Anatomy and Physiology In Comparative Hearing Fish and Amphibians Vol 11 New York NY Springer New York (Springer Handbook of Auditory Research) pp 101ndash154 54 p
Lopez PT Narins PM Lewis ER Moore SW 1988 Acoustically induced call modification in the white-lipped frog Leptodactylus albilabris Animal Behaviour
41
361295ndash1308
Mason MJ 2007 Pathways for Sound Transmission to the Inner Ear in Amphibians In Narins PM Feng AS Fay RR Popper AN editors Hearing and sound communication in amphibians Springer New York
McCallum ML 2009 Sep 2 Amphibian Decline or Extinction Current Declines Dwarf Background Extinction Rate httpdxdoiorg1016700022-1511(2007)41[483ADOECD]20CO2
McGregor PK Leonard ML Horn AG Thomsen F 2013 Anthropogenic Noise and Conservation Brumm H editor Berlin Heidelberg Springer Berlin Heidelberg
Mellinger DK Bradbury JW 2007 Acoustic measurement of marine mammal sounds in noisy environments pp 273ndash280 8 p
Miller HJ 1999 Measuring Space-Time Accessibility Benefits within Transportation Networks Basic Theory and Computational Procedures Geographical Analysis 311ndash26
Narins PM 2007 Hearing and sound communication in amphibians
Nussbaum RA Brodie ED Jr Storm RM 1983 Amphibians and reptiles of the Pacific Northwest
Olson DH Leonard WP Bury RB 1997 Sampling amphibians in lentic habitats methods and approaches for the Pacific Northwest Society for Northwestern Vertebrate Biology
Pekin BK Jung J Villanueva-Rivera LJ Pijanowski BC Ahumada JA 2012 Modeling acoustic diversity using soundscape recordings and LIDAR-derived metrics of vertical forest structure in a neotropical rainforest Landscape Ecology 271513ndash1522
Pijanowski BC Farina A Gage SH Dumyahn SL Krause B 2011 What is soundscape ecology An introduction and overview of an emerging new science Landscape Ecology 261213ndash1232
Pijanowski BC Villanueva-Rivera LJ Dumyahn SL Farina A Krause B Napoletano BM Gage SH Pieretti N 2011 Soundscape Ecology The Science of Sound in the Landscape BioScience 61203ndash216
Pinheiro JC Bates DM 2015 Package nlme
Potvin DA MacDougall-Shackleton SA 2015 Sep 9 Traffic noise affects embryo mortality and nestling growth rates in captive zebra finches J Exp Zoolnandashna
R Core Team 2015 R A langauge and environment for statistical computing
Ridley AR Wiley EM Thompson AM 2014 The ecological benefits of interceptive
42
eavesdropping Funct Ecology 28197ndash205
Sanchez-Perez JV Rubio C Martinez-Sala R Sanchez-Grandia R Gomez V 2002 Acoustic barriers based on periodic arrays of scatterers Applied Physics Letters 815240ndash5242
Schaub D Larsen J Jr 1978 The reproductive ecology of the Pacific treefrog (Hyla regilla) Herpetologicandash
Schwartz JJ Gerhardt HC 1989 Spatially mediated release from auditory masking in an anuran amphibian J Comp Physiol A 16637ndash41
Slabbekoorn H 2003 Birds sing at a higher pitch in urban noise Nature
Slabbekoorn H Peet M 2003 Ecology Birds sing at a higher pitch in urban noise Nature 424267ndash267
Snyder WF Jameson DL 1965 Multivariate Geographic Variation of Mating Call in Populations of the Pacific Tree Frog (Hyla regilla) Copeia 1965129 [accessed 2014 Jul 2] httpwwwjstororgstable1440714origin=crossref
Sullivan BK Wagner WE join( 1988 Variation in Advertisement and Release Calls and Social Influences on Calling Behavior in the Gulf Coast Toad (Bufo valliceps) Copeia 19881014
Sun J Narins PM 2005 Anthropogenic sounds differentially affect amphibian call rate Biological Conservationndash
Tennessen JB Parks SE 2014 Traffic noise causes physiological stress and impairs breeding migration behaviour in frogs Conservation Physiology
Tucker D Gage SH Williamson I Fuller S 2014 Linking ecological condition and the soundscape in fragmented Australian forests Landscape Ecology 29745ndash758
Van Renterghem T Botteldooren D 2012 On the choice between walls and berms for road traffic noise shielding including wind effects Landscape and Urban Planning 105199ndash210
Velez A Bee MA 2011 Dip listening and the cocktail party problem in grey treefrogs signal recognition in temporally fluctuating noise Animal Behaviour 821319ndash1327
Ware HE McClure CJW Carlisle JD Barber JR 2015 Aug 31 A phantom road experiment reveals traffic noise is an invisible source of habitat degradation PNAS201504710ndash5
Wells KD Taigen TL OBrien JA 1996 The effect of temperature on calling energetics of the spring peeper (Pseudacris crucifer) Amphibia- hellip 17149ndash158
43
Wiley RH 2013 Signal Detection Noise and the Evolution of Communication In Brumm H editor Animal Communication and Noise Vol 2 Berlin Heidelberg Springer Berlin Heidelberg (Animal Signals and Communication) pp 7ndash30 24 p
Wollerman L Wiley RH 2002 Background noise from a natural chorus alters female discrimination of male calls in a Neotropical frog Animal Behaviour 6315ndash22
Wong B Cunningham RB Donnelly CF Cooper PD Do temperature and social environment interact to affect call rate in frogs (Crinia signifera) 2004
Zollinger SA Brumm H 2011 The Lombard effect Current Biology 21R614ndashR615
44
APPENDIX - Seasonal and Diel Vocal Behavior of the Northern Red-legged Frog Rana
aurora
Danielle V Nelson Tiffany S Garcia Holger Klinck
45
ABSTRACT
Males of most anuran species use in-air acoustic communication to attract
females However the red-legged frog (Rana aurora) is one of few anuran species that
calls underwater making it difficult to survey using traditional visual and auditory
methods Red-legged frogs are experiencing significant population declines and are listed
as a vulnerable sensitive species in Oregon Uncertainty regarding basic life history
strategies is hindering effective management This study explored calling behavior and
breeding phenology by quantifying the seasonal and diel calling patterns of the red-
legged frog A passive acoustic recorder with hydrophone was used to capture
underwater anuran calls at Finley National Wildlife Refuge in Corvallis Oregon USA
Results suggest that red-legged frogs chorus from January until March for up to fourteen
hours at a time This is significantly longer in duration than previously recorded This
information will benefit management and conservation by better targeting species-
specific breeding strategies
46
INTRODUCTION
Many species of conservation concern live in areas that are difficult or impossible
to survey using conventional methods Without accurate monitoring techniques and
current information on distribution phenology and abundance effective management
can be challenging Amphibians are the most threatened group of vertebrates on the
planet (Blaustein Wake and Sousa 1994 Stuart et al 2004 Adams et al 2013) and are
often very difficult to monitor accurately They play a key role in many ecosystems as
both predators and prey and account for a considerable amount of biomass in terrestrial
and aquatic ecosystems (Blaustein Wake and Sousa 1994) Identifying accurate and
efficient amphibian monitoring strategies is essential for their conservation
Males of many species of anurans use vocalizations to attract females and to
establish territories within a breeding area (Gerhardt and Huber 2002) This
communication behavior can be extremely costly for the males some of which lose up to
40 of their body weight during the course of a breeding season (Gerhardt and Huber
2002) Females use cues in the calls of males to initiate breeding and to find a mate
(Gerhardt and Huber 2002 Bee and Schwartz 2013 Velez Bee and Schwartz 2013)
These vocalizations can be incredibly helpful in amphibian monitoring efforts and are
accurate indicators of both seasonal and diel breeding phenology
The red-legged frog (Rana aurora) is a semiaquatic frog and are one of the few
anurans that vocalizes underwater Traditional auditory survey methods are thus
ineffective with this species which ranges from northern California to British Columbia
and has a primarily coastal distribution (Jones Olson Seattle Audubon Society 2005) It
is a species of conservation concern in Oregon where its populations have been in
decline due to habitat loss land use change and invasive species (Kiesecker and
Blaustein 1998 Kiesecker and Blaustein 1997 Kiesecker Blaustein and Miller 2001)
While breeding behavior and life history have been described previously (Licht 1969
Storm 1960) very little is known about its communication behavior or breeding
phenology
Information on call dynamics and breeding phenology in this species is scarce
and has not been revisited since the late 1960rsquos Both Licht (1969) and Storm (1960)
described red-legged male vocalizations as a very quiet call which is heard over a two-
47
week breeding season Licht (1969) determined that the red-legged frog produces its
mating calls underwater a calling strategy which is relatively rare and restricted to a
closely related ranid group (Cascade frog R cascadae and the Foothill yellow-legged
frog (R boylii) in western America and some Xenopus species (Yager 1992 Hayes and
Krempels 1986) Further red-legged frogs typically breed in late winter to very early
spring (Storm 1960)
The predominant red-legged frog call has been previously described (Licht 1969)
and contains two to five individual syllables of increasing amplitude with a dominant
frequency between 450 and 1300 Hz It vocalizes primarily at night and begins its calling
after ambient air temperature have been above 5deg C for several days (Licht 1969)
However red-legged frog mating calls have not been thoroughly examined for structure
or diel and seasonal patterns
Understanding the communication behavior and breeding phenology of this
species is crucial to its conservation and management Passive acoustic monitoring has
been used across a wide variety of taxa to determine phenology occupancy and
communication behavior This technique is particularly useful in habitats where the
species is cryptic (Marques et al 2013) dispersed over a vast area (Stafford Fox and
Clark 1998) or other complications that make it difficult to monitor visually Passive
acoustic monitoring also allows for the continuous monitoring of vocal amphibian
species during the breeding season even when they are calling underwater
The aim of this pilot study was to examine the seasonal and diel calling behavior
of the red-legged frog (Rana aurora) using passive acoustics Specifically we wanted to
determine when vocalizations started and ended each day of the breeding season and the
total length of that season
METHODS
Data collection
A commercially available passive acoustic monitoring device (Song Meter SM2+
Wildlife Acoustics Inc Maynard MA USA) was installed at the edge of a freshwater
pond at Finley National Wildlife Refuge in Corvallis Oregon USA (44deg25358N
123deg193232W) The pond is a permanent water body with an average depth of 15
48
meters and is surrounded by agricultural lands primarily grass seed crops The recorder
was equipped with an omni-directional and pre-amplified HTI 96-min hydrophone (High
Tech Inc Long Beach MS USA) featuring a sensitivity of -165 dB re 1VmicroPa to
quantify the aquatic soundscape of the pond The incoming analog signal was high-pass
filtered at 180 Hz amplified with 36 dB digitized at 96 kHz and 16-bit resolution and
stored on 4x 128 GB SD memory cards The system had a flat response (3dB) in the
relevant frequency range of 200 Hz to 3000 Hz
The hydrophone was located approximately 2 meters from the shoreline at a water
depth of 1 meter This recorder was left in place to record continuously from January 31
to May 9 2014 these dates contain the previously determined red-legged breeding
season as well as most of the breeding season of sympatric native anurans Data
download and battery exchange happened every eleven days Temperature data was
recorded using an iButton temperature logger (Maxim Integrated San Jose CA USA)
programmed to take one reading every hour
Data analysis
After recovery of the instrument long-term spectral average (LTSA) plots were
created from the hydrophone data using the software Triton (Wiggins Roch and
Hildebrand 2010) Based on this information LTSAs were then examined visually and
aurally for evidence of red-legged frog calls as described in Licht (1969) Once
identified all instances of long-term chorusing were logged Daily sunrise and sunset
times as well as hourly air temperature (degrees C) were also recorded Data were
analyzed in R (R Core Team Vienna Austria httpwwwR-projectorg) for patterns of
vocalization including diel calling behavior influence of air temperature on overall
calling time and seasonal calling behavior Amount of calling per 24 hours was
measured in the time from 1200 to 1200 every day rather than 000 to 000 because of
the primarily nocturnal calling behavior of this species (Licht 1969)
RESULTS
The passive acoustic monitor recorded continuously from January 31 until May 5
2014 producing 99 days of acoustic data Of that period red-legged frog calls were
found on the hydrophone data on 32 days from January 31 to March 3
49
The median length of red-legged frog choruses was 7675 hours (IQR = 8169
hours Figure 1) The maximum amount of time spent chorusing in one 24-hour period
was 1412 hours Chorus start time appeared to be highly related to sunset time starting
on average 40 minutes after sunset each day (Figure 2) Chorus end time did not appear
to be strongly related to sunrise An example long-term spectral average (Figure 3) shows
an approximately 9-hour chorus from February 5-6 2014 which confirms the structure
previously defined by Licht as well as the amount of hours spent calling per day
Chorusing was already occurring on the day of installation of the passive acoustic
recorder January 31 and continued until March 3 a total of 32 days suggesting that the
breeding season lasts significantly longer than previously described in the literature (ie
two week period Licht 1969) Air temperature and calling duration and start time appear
to be highly correlated colder temperatures coincided with shorter chorus duration and
later start times (Figure 2)
DISCUSSION
We have demonstrated that there is a considerable amount of novel information
gained passive acoustic monitoring techniques Red-legged frogs were previously thought
to be explosive breeders with a relatively short two-week breeding period (Briggs 1987)
Storm (1960) documented the red-legged breeding season as approximately two weeks
while Licht (1969) found the breeding season at his two study sites to be 15 or 27 days
Here we recorded 32 days of mating calls and failed to get the initiation of breeding in
this population (ie breeding had already commenced at passive acoustic monitor
deployment) As such it is likely that the breeding season lasts longer than 32 days of
recording This indicates a more prolonged breeding season than originally documented
for this species Additionally given the energetic costs of calling for males a maximum
chorus duration of 14 hours is long in comparison to other species (Gerhardt and Huber
2002)
Interestingly we recorded two distinct periods of reduced calling (Figure 1)
These periods corresponded closely with two cold snaps during the winter of 2014 from
February 9 ndash 11 and February 15 ndash 18 when temperatures reached well below 0deg C This
corroborates Lichtrsquos (1969) assessment of the response of this species to low air
50
temperatures We also found that red-legged frog chorusing appears to be predominantly
nocturnal Most of the chorusing hours occurred after sunset and continued throughout
the night Only very rarely was a chorus found during daylight hours and this was
primarily when nighttime temperatures were very low for the area which further
demonstrates the relationship between chorusing and temperature
Aquatic amphibians are challenging to monitor since they are often cryptic and
difficult to detect via in-air acoustics As is often the case species that are difficult to
monitor are those with the most need of it especially since conservation status is often
inaccurate in the case of data-deficient species Our case study shows that passive
acoustic monitoring can provide valuable information on breeding behavior vocalization
and phenology in aquatic and semiaquatic species such as the red-legged frog This
technique has the potential to provide information about behavior phenology and
occupancy in the face of threats such as habitat loss global climate change and resulting
range shifts We found that a species of conservation concern in Oregon has a longer
breeding season than previously thought and that vocalizations are strongly tied to
temperature and time of day This information will help managersrsquo better limit
disturbances during breeding both seasonally and daily
In summary passive acoustic monitoring is a valuable tool for determining
phenology and occupancy with this species of aquatic-breeding frog It is unclear if these
data are indicative of the species as a whole or of only this local population further study
is needed to determine how these findings apply across populations and habitats More
work is also needed to determine call types and function as well as acoustic measures on
individual frogs This type of monitoring could easily be combined with a method such as
eDNA sampling (Lodge et al 2012) to gain an overall view of population structure in
breeding ponds without the need for visual surveying
ACKNOWLEDGEMENTS
The authors would like to thank S Fregosi for her help with fieldwork and S
Nieukirk for aiding in preparation of the manuscript Additionally we would like to
51
acknowledge the cooperation of the Willamette Valley National Wildlife Refuge
Complex and M Monroe for access to the study site
52
LITERATURE CITED
Adams M J D A W Miller E Muths P S Corn and E H C Grant 2013 Trends in Amphibian Occupancy in the United States PLOS One e64347
Bee M A and J J Schwartz 2013 Anuran Acoustic Signal Production in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Blaustein A R D B Wake and W P Sousa 1994 Amphibian Declines Judging Stability Persistence and Susceptibility of Populations to Local and Global Extinctions Conservation Biology 860mdash71
Briggs J L 1987 Breeding Biology of the Cascade Frog Rana cascadae with Comparisons to R aurora and R pretiosa Copeia 1987241mdash245
Gerhardt H C and F Huber 2002 Acoustic Communication in Insects and Anurans Common Problems and Diverse Solutions University of Chicago Press Chicago Illinois
Hayes M P and D M Krempels 1986 Vocal Sac Variation Among Frogs of the Genus Rana From Western North America Copeia 1986927mdash936
Jones L L Leonard W P amp Olson D H (Eds) 2005 Amphibians of the Pacific Northwest Seattle Audubon Society Seattle Washington
Kiesecker J M and A R Blaustein 1997 Population Differences in Responses of Red-Legged Frogs (Rana aurora) to Introduced Bullfrogs Ecology 781752mdash1760
Kiesecker J M and A R Blaustein 1998 Effects of Introduced Bullfrogs and Smallmouth Bass on Microhabitat Use Growth and Survival of Native Red‐Legged Frogs (Rana aurora) Conservation Biology 12776mdash787
Kiesecker J M A R Blaustein and C L Miller 2001 Potential Mechanisms Underlying the Displacement of Native Red-Legged Frogs by Introduced Bullfrogs Ecology 821964mdash1970
Licht L E 1969 Comparative Breeding Behavior of the Red-Legged Frog (Rana aurora aurora) and the Western Spotted Frog (Rana pretiosa pretiosa) in Southwestern British Columbia Canadian Journal of Zoology 471287mdash1299
Lodge D M C R Turner C L Jerde M A Barnes L Chadderton S P Egan J L Feder A R Mahon and M E Pfrender 2012 Conservation in a Cup of Water Estimating Biodiversity and Population Abundance From Environmental DNA Molecular Ecology 212555mdash2558
Marques T A L Thomas S W Martin D K Mellinger J A Ward D J Moretti D Harris and P L Tyack 2013 Estimating Animal Population Density Using Passive
53
Acoustics Biological Reviews 88287mdash309
Stafford K M C G Fox and D S Clark 1998 Long-Range Acoustic Detection and Localization of Blue Whale Calls in the Northeast Pacific Ocean The Journal of the Acoustical Society of America 1043616mdash3625
Storm R M 1960 Notes on the Breeding Biology of the Red-Legged Frog (Rana aurora) Herpetologica 16251mdash259
Stuart S N J S Chanson N A Cox B E Young A S L Rodrigues D L Fischman and R W Waller 2004 Status and Trends of Amphibian Declines and Extinctions Worldwide Science 3061783mdash1786
Velez A M A Bee and J J Schwartz 2013 Anuran Acoustic Signal Perception in Noisy Environments In Animal Communication and Noise Henrik Brumm (ed) Springer Berlin Heidelberg Berlin Germany
Wiggins S M M A Roch and J A Hildebrand 2010 TRITON Software Package Analyzing Large Passive Acoustic Monitoring Data Sets Using MATLAB The Journal of the Acoustical Society of America 1282299mdash2299
Yager D D 1992 Underwater Acoustic Communication in the African Pipid Frog Xenopus borealis Bioacoustics 41mdash24
54
FIGURES
Figure 7 Total daily hours spent calling 1200-1200 Line indicates the median 7675 hours per 24-hour
period Blue line indicates temperature in degrees C
55
Figure 8 Time of chorus start as difference from sunset (median = 67 h dotted line) Shaded area indicates
hours after sunset unshaded area indicates daylight hours Blue line indicates temperature in degrees C
56
Figure 9 Long-term spectral average (LTSA) plot of Finley Office Pond underwater soundscape recorded
on February 5 2014 at 0200 UTC (upper panel) Spectrogram showing individual red-legged frog calls
(lower panel)