Climate vulnerability assessment for Pacific salmon and steelhead in the California Current Large Marine Ecosystem
PLoS ONE
By: Lisa G Crozier, Michelle M McClure, Tim J. Beechie, Steven J. Bograd, David A. Boughton, Mark H. Carr, Thomas D. Cooney, Jason B. Dunham, Correigh M. Greene, Melissa A Haltuch, Elliott L. Hazen, Damon M Holzer, David D. Huff, Rachel C. Johnson, Chris E Jordan, Issac C Kaplan, Steven T Lindley, Nathan J Mantua, Peter B. Moyle, James M Myers, Mark W Nelson, Brian C Spence, Laurie A. Weitkamp, Thomas H. Williams, and Ellen Willis-Norton
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Abstract
Major ecological realignments are already occurring in response to climate change. To be successful, conservation strategies now need to account for geographical patterns in traits sensitive to climate change, as well as climate threats to species-level diversity. As part of an effort to provide such information, we conducted a climate vulnerability assessment that included all Pacific salmon and steelhead (Oncorhynchus spp.) listed under the U.S. Endangered Species Act. Using an expert-based scoring system, we ranked 20 attributes for the 28 listed units, and 5 additional units. Attributes captured biological sensitivity, or the strength of linkages between each listing unit and the present climate; climate exposure, or the magnitude of projected change in local environmental conditions; and adaptive capacity, or the ability to modify phenotypes to cope with new climatic conditions. Each listing unit was then assigned one of four vulnerability categories.
Study Area
| Publication type | Article |
|---|---|
| Publication Subtype | Journal Article |
| Title | Climate vulnerability assessment for Pacific salmon and steelhead in the California Current Large Marine Ecosystem |
| Series title | PLoS ONE |
| DOI | 10.1371/journal.pone.0217711 |
| Volume | 14 |
| Issue | 7 |
| Year Published | 2019 |
| Language | English |
| Publisher | PLOS ONE |
| Contributing office(s) | Forest and Rangeland Ecosystem Science Center |
| Description | e0217711, 49 p. |
| Country | United States |
| State | California |
| Google Analytic Metrics | Metrics page |