4.6 Article

Potential Range Shift of Snow Leopard in Future Climate Change Scenarios

期刊

SUSTAINABILITY
卷 14, 期 3, 页码 -

出版社

MDPI
DOI: 10.3390/su14031115

关键词

alpine ecosystem; conservation planning; global warming; model selection; species distribution model; range shift; representative concentration pathways (RCPs)

向作者/读者索取更多资源

This study compiled and analyzed a dataset to predict the potential distribution and range shifts of the snow leopard under climate change. The results suggest that the snow leopard's distribution center may move northwest and upward in elevation in the future. The study emphasizes the importance of conserving its current habitat over creating movement corridors.
The snow leopard (Panthera uncia) lives in alpine ecosystems in Central Asia, where it could face intensive climate change and is thus a major conservation concern. We compiled a dataset of 406 GPS-located occurrences based on field surveys, literature, and the GBIF database. We used Random Forest to build different species distribution models with a maximum of 27 explanatory variables, including climatic, topographical, and human impact variables, to predict potential distribution for the snow leopard and make climate change projections. We estimated the potential range shifts of the snow leopard under two global climate models for different representative concentration pathways for 2050 and 2070. We found the distribution center of the snow leopard may move northwest by about 200 km and may move upward in elevation by about 100 m by 2070. Unlike previous studies on the range shifts of the snow leopard, we highlighted that upward rather than northward range shifts are the main pathways for the snow leopard in the changing climate, since the landform of their habitat allows an upward shift, whereas mountains and valleys would block northward movement. Conservation of the snow leopard should therefore prioritize protecting its current habitat over making movement corridors.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据