Item talk:Q238488
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{
"USGS Publications Warehouse": { "@context": "https://schema.org", "@type": "Article", "additionalType": "Journal Article", "name": "Accounting for adaptive capacity and uncertainty in assessments of species\u2019 climate-change vulnerability", "identifier": [ { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse IndexID", "value": "70175285", "url": "https://pubs.usgs.gov/publication/70175285" }, { "@type": "PropertyValue", "propertyID": "USGS Publications Warehouse Internal ID", "value": 70175285 }, { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1111/cobi.12764", "url": "https://doi.org/10.1111/cobi.12764" } ], "journal": { "@type": "Periodical", "name": "Conservation Biology", "volumeNumber": "31", "issueNumber": "1" }, "inLanguage": "en", "isPartOf": [ { "@type": "CreativeWorkSeries", "name": "Conservation Biology" } ], "datePublished": "2016", "dateModified": "2017-01-19", "abstract": "Climate change vulnerability assessments (CCVAs) are valuable tools for assessing species\u2019 vulnerability to climatic changes, yet failure to include measures of adaptive capacity and to account for sources of uncertainty may limit their effectiveness. Here, we provide a more comprehensive CCVA approach that incorporates all three elements used for assessing species\u2019 climate change vulnerability: exposure, sensitivity, and adaptive capacity. We illustrate our approach using case studies of two threatened salmonids with different life histories \u2013 anadromous steelhead trout (Oncorhynchus mykiss) and non-anadromous bull trout (Salvelinus confluentus) \u2013 within the Columbia River Basin, USA. We identified general patterns of high vulnerability in low-elevation and southernmost habitats for both species. However, vulnerability rankings varied widely depending on the factors (climate, habitat, demographic, and genetic) included in the CCVA and often differed for the two species at locations where they were sympatric. Our findings illustrate that CCVA results are highly sensitive to data inputs and that spatial differences can complicate multi-species conservation. Our results highlight how CCVAs should be considered within a broader conceptual and computational framework for refining hypotheses, guiding research, and comparing plausible scenarios of species\u2019 vulnerability for ongoing and projected climate change.", "description": "14 p.", "publisher": { "@type": "Organization", "name": "Society for Conservation Biology" }, "author": [ { "@type": "Person", "name": "Wade, Alisa A.", "givenName": "Alisa A.", "familyName": "Wade", "affiliation": [ { "@type": "Organization", "name": "University of Montana, Polson Montana 59860 USA" } ] }, { "@type": "Person", "name": "Muhlfeld, Clint C. cmuhlfeld@usgs.gov", "givenName": "Clint C.", "familyName": "Muhlfeld", "email": "cmuhlfeld@usgs.gov", "identifier": { "@type": "PropertyValue", "propertyID": "ORCID", "value": "0000-0002-4599-4059", "url": "https://orcid.org/0000-0002-4599-4059" }, "affiliation": [ { "@type": "Organization", "name": "Northern Rocky Mountain Science Center", "url": 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