EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/20/2019 | 11:00 AM - 11:15 AM | CURRENT DISTRIBUTIONS AND FUTURE CLIMATE-DRIVEN CHANGES IN DIATOMS, INSECTS, AND FISH IN U.S. STREAMS | 150 DEF
CURRENT DISTRIBUTIONS AND FUTURE CLIMATE-DRIVEN CHANGES IN DIATOMS, INSECTS, AND FISH IN U.S. STREAMS
Climate and land use changes are among the biggest threats to global biodiversity. The development of large-scale modeling techniques, particularly species distribution models (SDMs), presents a powerful opportunity to predict species distributions from known species-environmental relationships and assess potential fallouts of anthropogenic impacts. Despite the vulnerability of freshwater diversity to global change, SDMs have been heavily biased toward terrestrial systems. We examined the distributions of diatoms, aquatic insects, and fish throughout the coterminous United States using chemistry, watershed, climate, and combined models. We further investigated the modeling strength and projected distribution changes of warm- versus cold-water taxa under mitigated, stabilizing, and increasing greenhouse gas emissions. Across all three organismal groups, climate emerged as the strongest predictor of species distributions. Subsequent SDMs using climatic predictors suggest widespread increase of warm water taxa, while cold water taxa decline in streams where they are currently most abundant. Eradication of such source habitats, which support populations in localities with less favorable conditions through immigration, may limit the regional distributions of cold-adapted biota with negative consequences for ecosystem function, resistance, and resilience.
- Distribution
- Algae
- Invertebrate
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Presenters/Authors
Katrina Pound
(), University of Texas - Arlington, katrina@uta.edu;
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Chad Larson
(), Washington State Department of Ecology, clar461@ecy.wa.gov;
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Sophia Passy
(), University of Texas - Arlington, sophia.passy@uta.edu;
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