2023 Early Hearing Detection & Intervention Conference
March 5-7, 2023 • Cincinnati, OH
5/24/2018 | 10:00 AM - 10:15 AM | IMPROVING CONSERVATION OF FRESHWATER ORGANISMS: USING MULTIPLE SPECIES DISTRIBUTION MODELS TO ENHANCE DECISION-MAKING THROUGH LARGE REGIONS | 330 A
IMPROVING CONSERVATION OF FRESHWATER ORGANISMS: USING MULTIPLE SPECIES DISTRIBUTION MODELS TO ENHANCE DECISION-MAKING THROUGH LARGE REGIONS
Approaches to conserve freshwater organisms from current and future threats increasingly rely on information from across large regions to inform decisions on where to implement actions and which strategies may be most effective. Our project develops species distribution models for approximately 100 fluvial fishes from across the conterminous US including Species of Greatest Conservation Need. Models were developed from fish presence/absence records from more than 40,000 locations along with 23 natural and anthropogenic landscape variables summarized in stream catchments and buffers for all US stream reaches. Modeling was conducted using boosted regression trees, and performance was judged using AUC from both training and 5-fold cross validation sets. Models were developed throughout species’ native ranges in the US to most effectively characterize suitable habitats. Results show differential sensitivities of fishes to current anthropogenic stressors and strong associations between some fishes and climatic factors, suggesting their sensitivity to potential climate changes. Further, we map predicted distributions of multiple species with information on conservation status of landscapes, prominent disturbances within regions, and projected climate data to show the utility of multiple model results for conservation decision-making.
- Multi-stressors
- Conservation
- Landscape
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Presenters/Authors
Arthur Cooper
(), Department of Fisheries and Wildlife, Michigan State University, coopera6@msu.edu;
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Dana Infante
(), Department of Fisheries and Wildlife, Michigan State University, infanted@msu.edu;
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Pam Fuller
(), United States Geological Survey, pfuller@usgs.gov;
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Matthew Neilson
(), Cherokee Nation Technology Solutions, mneilson@usgs.gov;
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Wesley Daniel
(), Cherokee Nation Technology Solutions, wdaniel@usgs.gov;
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Alexa McKerrow
(), United States Geolgoical Survey, amckerrow@usgs.gov;
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Daniel Wieferich
(), United States Geological Survey, dwieferich@usgs.gov;
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Yin-Phan Tsang
(), Department of Natural Resources and Environmental Management, University of Hawaii, Manoa, tsangy@hawaii.edu;
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Kyle Herreman
(), Department of Fisheries and Wildlife, Michigan State University, herrema5@msu.edu;
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