17
The TCU • Oxford • The TCU • Oxford • NextE NextEra ra Energy Resources Energy Resources WIND RESEARCH INITIATIVE WIND RESEARCH INITIATIVE WIND RESEARCH INITIATIVE WIND RESEARCH INITIATIVE Estimating Bird and Bat Mortality at a Wind Energy Facility in NorthCentral Texas Amanda M. Hale and Kristopher B. Karsten Department of Biology & The Institute for Environmental Studies Texas Christian University Fort Worth, TX 76129 Fort Worth, TX 76129 [email protected] [email protected]

Estimating Bird and Bat Mortality at a Wind Energy Facility in North

  • Upload
    vanhanh

  • View
    218

  • Download
    2

Embed Size (px)

Citation preview

Page 1: Estimating Bird and Bat Mortality at a Wind Energy Facility in North

The TCU • Oxford • The TCU • Oxford • NextENextErara Energy ResourcesEnergy Resources

WIND RESEARCH INITIATIVEWIND RESEARCH INITIATIVEWIND RESEARCH INITIATIVEWIND RESEARCH INITIATIVE

Estimating Bird and Bat Mortality g yat a Wind Energy Facility in 

North‐Central Texas

Amanda M. Hale and Kristopher B. KarstenDepartment of Biology & The Institute for Environmental Studies

Texas Christian UniversityFort Worth, TX 76129Fort Worth, TX 76129

[email protected] [email protected]

Page 2: Estimating Bird and Bat Mortality at a Wind Energy Facility in North

The TCU • Oxford • The TCU • Oxford • NextENextErara Energy ResourcesEnergy Resources

WIND RESEARCH INITIATIVEWIND RESEARCH INITIATIVEWIND RESEARCH INITIATIVEWIND RESEARCH INITIATIVEThe Institute for Environmental Studiesat Texas Christian Universityat Texas Christian University

Birds & Bats Carbon/Ecological Socio-economicBirds & Bats Carbon/Ecological Socio economic

www.wind.tcu.edu

Page 3: Estimating Bird and Bat Mortality at a Wind Energy Facility in North

Estimating Bird & Bat Fatality RatesEstimating Bird & Bat Fatality RatesEstimating Bird & Bat Fatality RatesEstimating Bird & Bat Fatality Rates

1. Present data from a wind energy facility in Texas

2. Example:  the effect of biased scavenger removal rates onremoval rates on estimates of fatality

Page 4: Estimating Bird and Bat Mortality at a Wind Energy Facility in North

Wolf Ridge Wind LLCWolf Ridge Wind LLCWolf Ridge Wind, LLCWolf Ridge Wind, LLC

• 112.5 MW wind facility (75 1.5‐MW GE turbines)

Page 5: Estimating Bird and Bat Mortality at a Wind Energy Facility in North

Observed FatalityObserved FatalityObserved FatalityObserved Fatality

Counting Carcasses

• 2009– Line Transects (13 weeks)– Line Transects (13 weeks)

32 turbines, 6‐day search interval

Rope Method (17 weeks)– Rope Method (17 weeks)

14 turbines, 1‐day search interval

• 2010– Rope Method (15 weeks ‐ ongoing)

14 turbines, 1‐day search interval

Page 6: Estimating Bird and Bat Mortality at a Wind Energy Facility in North

Bird Fatalities14

12

es fo

und 2009

2010

8

10

carc

asse

6

mbe

r of c

2

4

Tota

l num

0

Week

Page 7: Estimating Bird and Bat Mortality at a Wind Energy Facility in North

Bird Fatalities2009 2010

35s

30

35

ther

spot

s

20

25

es &

feat N = 100 N = 21

15

20

carc

asse

10

er o

f bird

0

5

Num

be

Page 8: Estimating Bird and Bat Mortality at a Wind Energy Facility in North

80

90

100

2009 Bat Fatalities

60

70

80

carcasses 2010

Eastern Red Bat

30

40

50

umbe

r of c Hoary Bat

Evening Bat

0

10

20

N Tricolored Bat

Mexican Free-tailed0

5‐Apr 5‐May 5‐Jun 5‐Jul 5‐Aug 5‐Sep 5‐Oct 5‐Nov

Week

UNID Bat

• N = 458 bats2009 2010• N = 219 bats• N = 458 bats

• 30 week study period

• N = 219 bats

• 12 week study period (ongoing)

Page 9: Estimating Bird and Bat Mortality at a Wind Energy Facility in North

1 0

1.2

ats)

0.6

0.8

1.0

dex

(< 1

day

ba

2009

0.2

0.4

ily F

atal

ity In

d

0.0Da

Day

Bats ‐ Daily Fatality Indexy Fatality Index

0.5

0.6

ay b

ats)

20100.3

0.4

ty In

dex

(< 1

da

0

0.1

0.2

Dai

ly F

atal

it

0

Day

Page 10: Estimating Bird and Bat Mortality at a Wind Energy Facility in North

Estimated FatalityEstimated FatalityEstimated FatalityEstimated Fatality

Estimated Fatality  =Carcasses Counted

Prop of ProportionProp. of carcasses detected

*Proportion of carcassesnot removeddetected ot e o ed

Scavenger Searcher

• Two commonly used estimators

RemovalEfficiency

Two commonly used estimators

– “Naïve estimator” Huso (2010)

– “Modified estimator”Huso (2010) Environmetrics

Page 11: Estimating Bird and Bat Mortality at a Wind Energy Facility in North

Bird – Estimated Fatality Rates 2009

20

y

16

18

20

erio

d

12

14

Stud

y P

8

10

es/M

W/S

4

6

Fata

litie

0

2

Raptors Non raptor birds

# F

Raptors Non-raptor birds ~3 birds/ MW/Year

Page 12: Estimating Bird and Bat Mortality at a Wind Energy Facility in North

Bird – Estimated Fatality Rates 2009

1 2

y

14

16

18

20

dy P

erio

d

1.0

1.2Pe

riod

0

2

4

6

8

10

12

Raptors Non-raptor birds

# Fa

talit

ies/

MW

/Stu

d

0.8

W/S

tudy

P

0 4

0.6

ties/

MW

0.2

0.4

# Fa

talit

0.0

Raptors0.13 Raptors/0.13 Raptors/ MW/Year

Page 13: Estimating Bird and Bat Mortality at a Wind Energy Facility in North

Bat – Estimated Fatality Rates30

y

25

Perio

d

20

/Stu

dy P

10

15

es/M

W/

5

10

Fata

litie

02009 2010

# F

~7 bats/ MW/Year

2009 2010“Modified” Estimator

Page 14: Estimating Bird and Bat Mortality at a Wind Energy Facility in North

Accuracy of Fatality EstimatesAccuracy of Fatality EstimatesAccuracy of Fatality EstimatesAccuracy of Fatality Estimates

• Example using mice as substitutes for bats in scavenger removal trialsg

Do Scavenger Removal Rates Differ?

0 7

0.8

0.9

1.0

maining All Bats

MiceYES

0.4

0.5

0.6

0.7

arcasses re YES

Median PersistenceBats = 5.5 days

0.1

0.2

0.3

0.4

ropo

rtion ca Bats 5.5 days

Mice = 2.5 days

(U 1889 40 P 0 0010.0

0 2 4 6 8 10 12 14 16 18 20 22

Pr

Exposure Days

(U = 1889, n1 = n2 = 40, P < 0.001

Page 15: Estimating Bird and Bat Mortality at a Wind Energy Facility in North

What is the impact on the estimate of fatality?

35

40

od

30

35

dy P

eri

20

25

W/S

tud

10

15

ities

/MW

5

10

# Fa

tal

0

Bats 1-day Mice 1-day Bats 3-day Mice 3-day

#

It will be biased upwards!

Page 16: Estimating Bird and Bat Mortality at a Wind Energy Facility in North

RecommendationsRecommendationsRecommendationsRecommendations

• Clearly define the research objectives– What level of precision is needed?

– The use of carcass substitutes can lead to biased estimates

• Need to account for seasonal variation as well as inter‐annual variation

• Experimental work is needed on efforts that could minimize impacts to birds and bats– Curtailment

– Deterrents

Page 17: Estimating Bird and Bat Mortality at a Wind Energy Facility in North

AcknowledgementsAcknowledgementsAcknowledgementsAcknowledgementsTh k YThank You• NextEra Energy ResourcesW lf Rid Wi d LLC T i T b id Ch i P d ff• Wolf Ridge Wind, LLC – Tommie Trowbridge, Chris Page, and staff

• Michael Slattery, Skelly Holmbeck, Lisa Thompson• Institute for Environmental Studies TCUInstitute for Environmental Studies, TCU• Department of Biology, TCU

Shannon Andrew Kimberly Banzhaf Jared Barr Jennifer Bull Will CaffryShannon Andrew, Kimberly Banzhaf, Jared Barr, Jennifer Bull, Will Caffry, Kendra Carter, Matt Dickinson, Jennifer Ellis, Erin Hatchett, Marc Jansing, Meredith Jantzen, Allysa Lapine, Blake Martin, Will Martin, Angela Medina, Jeff Meyer Emma Mujica Steven Nagy Nicole Ouimette Murali Pai Kristen PayneMeyer, Emma Mujica, Steven Nagy, Nicole Ouimette, Murali Pai, Kristen Payne, Ryan Perry, Matt Rich, Christina Ripplinger, Trevor Rubenstahl, Tom Stevens