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Preliminary Evaluation of Long-Term EAHCP Biomonitoring Data
Dr. Joshuah S. PerkinDepartment of Wildlife and Fisheries SciencesTexas A&M University
Dr. Ely KosnickiDr. Jacob Jackson
BIO-WEST, Inc.
Background
• Long-term monitoring established by EAA • Water Quality and Quantity• Habitat (SAV) • EAHCP Covered Species Populations• Many Components, some put in place
relatively recently or retired at some point
Objectives
• Summarize data from various long-term monitoring components
• Exploratory analysis• Recommend for questions for potential
future research related to EAHCP LTBG’s
Outline• Water Quantity• Water Quality• Submerged Aquatic Vegetation• Covered Species
– Fountain Darter– San Marcos and Comal Springs Salamanders– Comal Springs Riffle Beetle– Peck’s Cave Amphipod, Comal Springs Dryopid
Beetle and Invertebrate Drift– Macroinvertebrate Community
• Future research and Biological Goals
Water Quantity
• USGS gages– Long-term
• ADCP– Partition flow
among spring sources
Image: USGS
Water Quantity
Water Quantity
Water Quantity
• Summary– Flow regimes transitioned during 2000-
2015– Spatiotemporal variability in Comal Springs
system flows and dominance (per HCP design to protect Fountain Darter habitat) by Old Channel at low flows
Water Quality
• Temperature• Physiochemical/Contaminant
– Grab samples– Data sondes– Storm water and Sediment– Passive Diffuser Samplers
Water Quality• Summary
– Temperature regimes buffered at springs– Grab sample parameters vary longitudinally– Data sondes short-term, high resolution– Storm water elevated E. coli– Contaminants rarely detected; low
concentrations– Meets expectations of stable, clean spring
systems
Submerged Aquatic VegetationComal: 2000-2015 San Marcos: 2000-2015
Submerged Aquatic VegetationComal San Marcos
Submerged Aquatic Vegetation
• Summary– Long-term mapping study reaches– Native species dominate 4 of 7 sites– Non-native declines in coverage at 6 sites– Type-specific trends for 23 species/groups– Full system mapping of both systems
conducted in 2013 – to be repeated in 2018
Fountain Darter• Drop nets
– 7 locations (2000-2015)• Random Dip nets
– 7 locations (2006-2015)• Fixed dip nets
– 7 locations (2014-2015)• Timed dip nets
– 9 locations (2000-2015)• Visual observations
– 1 location (2001-2015)
Image: EAA
Images: BIO-WEST
Fountain Darter• Random forest models
– Tree-based machine learning– Appropriate for data mining
• Few assumptions / little knowledge of system• Nominal and continuous predictor variables• Classification (nominal response) or regression
(continuous response)– Partial dependence plots– Model performance
• % variance explained (regression)• Area Under Curve (classification)
Fountain Darter: Drop Nets
Fountain Darter: Drop Nets
Fountain Darter: Drop Nets
Partial Dependence Plot(modeled # of Fountain Darter based on individual predictors)
Comal Springs and San Marcos Salamanders
Comal (2002-2015) San Marcos (2002-2015)
San Marcos Salamander
Comal Springs Salamander
Comal Springs Riffle BeetleComal Springs System (2004-2015)
Comal Springs Riffle Beetle
Comal Springs Riffle Beetle
Invertebrate Drift
• Drift samples taken biannually from 2003-2015
• Focused on troglobitic species drifting• Estimated discharge (Q)• Investigated relationships of species of
concern with (Q)
Invertebrate Drift
• Some positive relationships with Q• Implies abundance of some species in drift
samples related to hydrology
Macroinvertebrate Community Sampling
• Originally designed to examine food for darters
• Investigate community patterns related to biological integrity and habitat quality
• NMDS macroinvertebrate community– Vegetation types– Sample reaches
Macroinvertebrate Community DataStress=0.26
Stress=0.26
Macroinvertebrate Community Data
Stress=0.26
Macroinvertebrate Community Summary
Conclusions• Current dataset is limited for exploring community-
level characteristics• No strong differences among vegetation types• River systems and separate reaches contain
different community structures– New sampling strategies implemented in 2017 will
capture more of the diversity– Value in developing specific monitoring program for
spring-driven river systems
Covered Species• Summary
– Little explanatory power using local-scale variables
– Abundances largely stable through time– Opportunity to link data sets to test
hypotheses regarding ecology of species• Water quantity, water quality, aquatic vegetation
Future Research• Monitoring data can be leveraged to measure
progress towards EAHCP Long-Term Biological Goals (LTBGs)
• Hypotheses:– Local-scale environmental covariates affect
detection, broad-scale processes affect abundances
– Flow, water quality, aquatic vegetation at system or site scale may correlate with abundances more strongly than local variables
Future Research: Fountain Darter• Modeled densities near or
exceed LTBGs
• No measure of uncertainty or links to processes
• Approach:– Open population N-
mixture models– Sample-scale detection
covariates– System- and site-scale
abundance covariates
Future Research: Salamander• Approach:
– Open population N-mixture models
– Sample-scale detection covariates
• Depth, rocks moved– System- and site-scale
abundance covariates• Spring flow, water
temperature, submerged aquatic vegetation
Goal
Goal
Goal
Goal
Goal
Future Research: Riffle Beetle
• Approach:– Spatial point models– Sample-scale detection
covariates• Repeated lure traps
distributed through space– System- and site-scale
abundance covariates• Spring flow
Goal
Goal
Goal
• RF model to estimate numbers in flow• Any species in drift• Ambient physicochemical measures• Temporal conditions
– Cumulative precipitation– Days since peak discharge– Ground water estimates
Future Research: Drift Monitoring Tool
Future Research: Drift Monitoring Tool
• Proof of concept with Stygobromus• Model explained ~ 37% of the variation• Predictions better for Spring Run 3 and West Shore
– Underestimates for Spring Run 1
• Predictions fairly good for between 50 – 200– Large deviations from predicted numbers imply changes in habitat
connectivity or population size– Estimate population size (with assistance of laboratory experiments)
Future Research: Drift Monitoring Tool
Thank You
Contact:[email protected]: (979) 458 1814
[email protected]@bio-west.com
Ph: (512) 990 3954