Alpine burrow-sharing mammals and birds show similar population-level climate change risks

Yilin Chen, Deyan Ge, Per G. P. Ericson, Gang Song, Zhixin Wen, Xu Luo, Qisen Yang (), Fumin Lei () and Yanhua Qu ()
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Yilin Chen: Chinese Academy of Sciences
Deyan Ge: Chinese Academy of Sciences
Per G. P. Ericson: Swedish Museum of Natural History
Gang Song: Chinese Academy of Sciences
Zhixin Wen: Chinese Academy of Sciences
Xu Luo: Southwest Forestry University
Qisen Yang: Chinese Academy of Sciences
Fumin Lei: Chinese Academy of Sciences
Yanhua Qu: Chinese Academy of Sciences

Nature Climate Change, 2023, vol. 13, issue 9, 990-996

Abstract: Abstract Climate adaptation and dispersal can determine a species’ response to climate change. However, quantifying how they can mitigate climate change risks remains a challenge. Here we combine ecological genomic, niche modelling and landscape genetic approaches to reveal similar population-level vulnerability for a keystone species and its two beneficiary species in an alpine grassland ecosystem in the Qinghai–Tibetan Plateau. We use climate-associated genotypes to identify population-level adaptation and model maladaptation with and without dispersal and find that contemporary populations in southwestern ranges are the most vulnerable to climate change. This vulnerability cannot be mitigated by dispersal to more suitable niches because of climate maladaptation and landscape barriers. Overall, combined multiple climate change risk estimates in coevolving species can be used to improve climate change vulnerability assessments beyond what can be learned from a single species or modelling.

Date: 2023
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DOI: 10.1038/s41558-023-01772-8

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