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Projected impacts of climate change on snow leopard habitat in Qinghai Province, China

Assessing species’ vulnerability to climate change is a prerequisite for developing effective strategies to reduce emerging climate‐related threats. We used the maximum entropy algorithm (MaxEnt model) to assess potential changes in suitable snow leopard (Panthera uncia) habitat in Qinghai Province,...

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Autores principales: Li, Jia, Xue, Yadong, Hacker, Charlotte E., Zhang, Yu, Li, Ye, Cong, Wei, Jin, Lixiao, Li, Gang, Wu, Bo, Li, Diqiang, Zhang, Yuguang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668752/
https://www.ncbi.nlm.nih.gov/pubmed/34938503
http://dx.doi.org/10.1002/ece3.8358
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author Li, Jia
Xue, Yadong
Hacker, Charlotte E.
Zhang, Yu
Li, Ye
Cong, Wei
Jin, Lixiao
Li, Gang
Wu, Bo
Li, Diqiang
Zhang, Yuguang
author_facet Li, Jia
Xue, Yadong
Hacker, Charlotte E.
Zhang, Yu
Li, Ye
Cong, Wei
Jin, Lixiao
Li, Gang
Wu, Bo
Li, Diqiang
Zhang, Yuguang
author_sort Li, Jia
collection PubMed
description Assessing species’ vulnerability to climate change is a prerequisite for developing effective strategies to reduce emerging climate‐related threats. We used the maximum entropy algorithm (MaxEnt model) to assess potential changes in suitable snow leopard (Panthera uncia) habitat in Qinghai Province, China, under a mild climate change scenario. Our results showed that the area of suitable snow leopard habitat in Qinghai Province was 302,821 km(2) under current conditions and 228,997 km(2) under the 2050s climatic scenario, with a mean upward shift in elevation of 90 m. At present, nature reserves protect 38.78% of currently suitable habitat and will protect 42.56% of future suitable habitat. Current areas of climate refugia amounted to 212,341 km(2) and are mainly distributed in the Sanjiangyuan region, Qilian mountains, and surrounding areas. Our results provide valuable information for formulating strategies to meet future conservation challenges brought on by climate stress. We suggest that conservation efforts in Qinghai Province should focus on protecting areas of climate refugia and on maintaining or building corridors when planning for future species management.
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spelling pubmed-86687522021-12-21 Projected impacts of climate change on snow leopard habitat in Qinghai Province, China Li, Jia Xue, Yadong Hacker, Charlotte E. Zhang, Yu Li, Ye Cong, Wei Jin, Lixiao Li, Gang Wu, Bo Li, Diqiang Zhang, Yuguang Ecol Evol Research Articles Assessing species’ vulnerability to climate change is a prerequisite for developing effective strategies to reduce emerging climate‐related threats. We used the maximum entropy algorithm (MaxEnt model) to assess potential changes in suitable snow leopard (Panthera uncia) habitat in Qinghai Province, China, under a mild climate change scenario. Our results showed that the area of suitable snow leopard habitat in Qinghai Province was 302,821 km(2) under current conditions and 228,997 km(2) under the 2050s climatic scenario, with a mean upward shift in elevation of 90 m. At present, nature reserves protect 38.78% of currently suitable habitat and will protect 42.56% of future suitable habitat. Current areas of climate refugia amounted to 212,341 km(2) and are mainly distributed in the Sanjiangyuan region, Qilian mountains, and surrounding areas. Our results provide valuable information for formulating strategies to meet future conservation challenges brought on by climate stress. We suggest that conservation efforts in Qinghai Province should focus on protecting areas of climate refugia and on maintaining or building corridors when planning for future species management. John Wiley and Sons Inc. 2021-11-18 /pmc/articles/PMC8668752/ /pubmed/34938503 http://dx.doi.org/10.1002/ece3.8358 Text en © 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Li, Jia
Xue, Yadong
Hacker, Charlotte E.
Zhang, Yu
Li, Ye
Cong, Wei
Jin, Lixiao
Li, Gang
Wu, Bo
Li, Diqiang
Zhang, Yuguang
Projected impacts of climate change on snow leopard habitat in Qinghai Province, China
title Projected impacts of climate change on snow leopard habitat in Qinghai Province, China
title_full Projected impacts of climate change on snow leopard habitat in Qinghai Province, China
title_fullStr Projected impacts of climate change on snow leopard habitat in Qinghai Province, China
title_full_unstemmed Projected impacts of climate change on snow leopard habitat in Qinghai Province, China
title_short Projected impacts of climate change on snow leopard habitat in Qinghai Province, China
title_sort projected impacts of climate change on snow leopard habitat in qinghai province, china
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668752/
https://www.ncbi.nlm.nih.gov/pubmed/34938503
http://dx.doi.org/10.1002/ece3.8358
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