EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
5/25/2021 | 2:00 PM - 3:30 PM | SCALE DEPENDENCIES OF INTRINSIC CLIMATE SENSITIVITY FOR FRESHWATER FISHES OF THE UNITED STATES | Virtual Platform
SCALE DEPENDENCIES OF INTRINSIC CLIMATE SENSITIVITY FOR FRESHWATER FISHES OF THE UNITED STATES
Assessing sensitivity of freshwater species to climate change is essential to prioritizing conservation efforts. Sensitivity can be evaluated across multiple species by comparing measurable attributes such as traits, range size, and climate niche breadth; however, the degree to which spatial scale influences outcomes of such assessments is unclear. The effects of spatial extent may cause scale dependencies that decouple the outcomes of analyses performed at regional and national scales. To address this knowledge gap, we assessed intrinsic climate sensitivity for 144 native freshwater fishes of the United States using publicly available occurrence data from the Global Biodiversity Information Facility (GBIF). Results indicate that for regional species pools, mean sensitivity values did not differ between assessments at national and regional scales. However, regional assessments revealed that the intrinsic sensitivity of individual species often varied significantly between geographic regions in which they occur. This suggests that species’ intrinsic sensitivity is strongly influenced by the scale or extent of the assessment. As conservation practitioners consider regional management actions for at-risk species, it is vital to ensure that the vulnerability assessments informing those decisions have been conducted at the appropriate scale.
- Climate variability
- Conservation
- Global change
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Presenters/Authors
Samuel Silknetter
(), Virginia Tech, silknets@vt.edu;
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Abigail L. Benson
(), USGS, albenson@usgs.gov ;
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Jennifer A. Smith
(), University of Texas San Antonio, Jennifer.smith@utsa.edu;
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Meryl C. Mims
(), Virginia Tech, mims@vt.edu;
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