globalchange  > 全球变化的国际研究计划
DOI: 10.1111/ecog.03937
WOS记录号: WOS:000483710100004
论文题名:
Climate-niche factor analysis: a spatial approach to quantifying species vulnerability to climate change
作者: Rinnan, D. Scott1; Lawler, Joshua2
通讯作者: Rinnan, D. Scott
刊名: ECOGRAPHY
ISSN: 0906-7590
EISSN: 1600-0587
出版年: 2019
卷: 42, 期:9, 页码:1494-1503
语种: 英语
英文关键词: climate change ; ecological-niche factor analysis (ENFA) ; exposure ; Marmota flaviventris ; Ochotona princeps ; sensitivity ; vulnerability ; vulnerability assessment
WOS关键词: HABITAT SELECTION ; FRAMEWORK ; POPULATION ; DEMOGRAPHY ; ATLANTIC ; ECOLOGY ; THREATS ; IMPACT ; MAPS
WOS学科分类: Biodiversity Conservation ; Ecology
WOS研究方向: Biodiversity & Conservation ; Environmental Sciences & Ecology
英文摘要:

Climate change vulnerability assessments are an important tool for understanding the threat that climate change poses to species and populations, but do not generally yield insight into the spatial variation in vulnerability throughout a species' habitat. We demonstrate how to adapt the method of ecological-niche factor analysis (ENFA) to objectively quantify aspects of species sensitivity to climate change. We then expand ENFA to quantify aspects of exposure and vulnerability to climate change as well, using future projections of global climate models. This approach provides spatially-explicit insight into geographic patterns of vulnerability, relies only on readily-available spatial data, is suitable for a wide range of species and habitats, and invites comparison between different species. We apply our methods to a case study of two species of montane mammals, the American pika Ochotona princeps and the yellow-bellied marmot Marmota flaviventris.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/145909
Appears in Collections:全球变化的国际研究计划

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作者单位: 1.Univ Washington, Quantitat Ecol & Resource Management, Box 357941, Seattle, WA 98195 USA
2.Univ Washington, Sch Environm & Forest Sci, Seattle, WA 98195 USA

Recommended Citation:
Rinnan, D. Scott,Lawler, Joshua. Climate-niche factor analysis: a spatial approach to quantifying species vulnerability to climate change[J]. ECOGRAPHY,2019-01-01,42(9):1494-1503
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