Author
Listed:
- Yilin Chen
(Chinese Academy of Sciences
University of Chinese Academy of Sciences)
- Deyan Ge
(Chinese Academy of Sciences
University of 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
University of Chinese Academy of Sciences
Chinese Academy of Sciences)
- Yanhua Qu
(Chinese Academy of Sciences
University of Chinese Academy of Sciences
Swedish Museum of Natural History)
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.
Suggested Citation
Yilin Chen & Deyan Ge & Per G. P. Ericson & Gang Song & Zhixin Wen & Xu Luo & Qisen Yang & Fumin Lei & Yanhua Qu, 2023.
"Alpine burrow-sharing mammals and birds show similar population-level climate change risks,"
Nature Climate Change, Nature, vol. 13(9), pages 990-996, September.
Handle:
RePEc:nat:natcli:v:13:y:2023:i:9:d:10.1038_s41558-023-01772-8
DOI: 10.1038/s41558-023-01772-8
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