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基因组偏移和生态位建模的结合为气候变化驱动的脆弱性提供了深入的见解。

The combination of genomic offset and niche modelling provides insights into climate change-driven vulnerability.

机构信息

Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.

College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China.

出版信息

Nat Commun. 2022 Aug 16;13(1):4821. doi: 10.1038/s41467-022-32546-z.

Abstract

Global warming is increasingly exacerbating biodiversity loss. Populations locally adapted to spatially heterogeneous environments may respond differentially to climate change, but this intraspecific variation has only recently been considered when modelling vulnerability under climate change. Here, we incorporate intraspecific variation in genomic offset and ecological niche modelling to estimate climate change-driven vulnerability in two bird species in the Sino-Himalayan Mountains. We found that the cold-tolerant populations show higher genomic offset but risk less challenge for niche suitability decline under future climate than the warm-tolerant populations. Based on a genome-niche index estimated by combining genomic offset and niche suitability change, we identified the populations with the least genome-niche interruption as potential donors for evolutionary rescue, i.e., the populations tolerant to climate change. We evaluated potential rescue routes via a landscape genetic analysis. Overall, we demonstrate that the integration of genomic offset, niche suitability modelling, and landscape connectivity can improve climate change-driven vulnerability assessments and facilitate effective conservation management.

摘要

全球变暖正日益加剧生物多样性的丧失。在空间异质环境中局部适应的种群可能会对气候变化产生不同的反应,但这种种内变异在最近才被纳入到气候变化下脆弱性的建模中。在这里,我们将基因组偏移和生态位建模的种内变异纳入其中,以估算横断山区两种鸟类在气候变化下的脆弱性。我们发现,耐寒种群表现出更高的基因组偏移,但在未来气候下,其生态位适宜性下降的风险低于耐热种群。基于通过结合基因组偏移和生态位适宜性变化来估计的基因组-生态位指数,我们确定了具有最小基因组-生态位中断的种群作为潜在的进化拯救供体,即对气候变化具有耐受性的种群。我们通过景观遗传分析评估了潜在的拯救途径。总的来说,我们证明了基因组偏移、生态位适宜性建模和景观连通性的整合可以提高对气候变化驱动脆弱性的评估,并有助于有效的保护管理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d5f4/9381542/603d49be06bb/41467_2022_32546_Fig1_HTML.jpg

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