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| Using life history traits to assess climate change vulnerability in understudied species | |
| Hinderer, Ross K.; Hossack, Blake R.; Eby, Lisa A. | |
| 2024 | |
| Source Publication | INTEGRATIVE CONSERVATION
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| ISSN | 2770-9329 |
| Volume | 3Issue:4Pages:368-381 |
| Abstract | Climate change is a primary threat to biodiversity, but for many species, we still lack information required to assess their relative vulnerability to changes. Climate change vulnerability assessment (CCVA) is a widely used technique to rank relative vulnerability to climate change based on species characteristics, such as their distributions, habitat associations, environmental tolerances, and life-history traits. However, for species that we expect are vulnerable to climate change yet are understudied, like many amphibians, we often lack information required to construct CCVAs using existing methods. We used the CCVA framework to construct trait-based models based on life history theory, using empirical evidence of traits and distributions that reflected sensitivity of amphibians to environmental perturbation. We performed CCVAs for amphibians in 7 states in the north-central USA, focusing on 31 aquatic-breeding species listed as species of greatest conservation need by at least 1 state. Because detailed information on habitat requirements is unavailable for most amphibian species, we used species distributions and information on traits expected to influence vulnerability to a drying climate (e.g., clutch size and habitat breadth). We scored species vulnerability based on changes projected for mid-century (2040-2069) from 2 climate models representing least-dry and most-dry scenarios for the region. Species characteristics useful for discriminating vulnerability in our models included small range size, small clutch size, inflexible diel activity patterns, and smaller habitat breadth. When projected climate scenarios included a mix of drier and wetter conditions in the future, the exposure of a species to drying conditions was most important to relative rankings. When the scenario was universally drier, species characteristics were more important to relative rankings. Using information typically available even for understudied species and a range of climate projections, our results highlight the potential of using life history traits as indicators of relative climate vulnerability. The commonalities we identified provide a framework that can be used to assess other understudied species threatened by climate change. |
| Keyword | amphibian at-risk climate change vulnerability assessment climate models scenario modeling species of greatest conservation need trait variation |
| Subject Area | Biodiversity & Conservation |
| DOI | 10.1002/inc3.77 |
| Language | 英语 |
| WOS ID | WOS:001563627300001 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | https://ir.xtbg.ac.cn/handle/353005/15729 |
| Collection | Integrative Conservation |
| Affiliation | 1.[Hinderer, Ross K. 2.Eby, Lisa A.] Univ Montana, Franke Coll Forestry & Conservat, Wildlife Biol Program, 32 Campus Dr, Missoula, MT 59812 USA 3.[Hossack, Blake R.] Univ Montana, Franke Coll Forestry & Conservat, Northern Rocky Mt Sci Ctr, US Geol Survey, Missoula, MT USA 4.[Hossack, Blake R.] Univ Montana, Franke Coll Forestry & Conservat, Wildlife Biol Program, Missoula, MT USA |
| Recommended Citation GB/T 7714 | Hinderer, Ross K.,Hossack, Blake R.,Eby, Lisa A.. Using life history traits to assess climate change vulnerability in understudied species[J]. INTEGRATIVE CONSERVATION,2024,3(4):368-381. |
| APA | Hinderer, Ross K.,Hossack, Blake R.,&Eby, Lisa A..(2024).Using life history traits to assess climate change vulnerability in understudied species.INTEGRATIVE CONSERVATION,3(4),368-381. |
| MLA | Hinderer, Ross K.,et al."Using life history traits to assess climate change vulnerability in understudied species".INTEGRATIVE CONSERVATION 3.4(2024):368-381. |
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| File Name/Size | DocType | Version | Access | License | ||
| Using life history t(715KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | View Download | |
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