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

Biology

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

Y. Chen, Z. Jiang, et al.

This study dives into the impacts of global warming on biodiversity loss, focusing on two bird species in the Sino-Himalayas. It highlights how cold-tolerant populations demonstrate unique genomic adaptations that can aid in evolutionary rescue. Conducted by Yilin Chen, Zhiyong Jiang, Ping Fan, Per G. P. Ericson, Gang Song, Xu Luo, Fumin Lei, and Yanhua Qu, this research is a crucial step towards integrating genomic insights with conservation efforts.

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~3 min • Beginner • English
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.
Publisher
Nature Communications
Published On
Aug 16, 2022
Authors
Yilin Chen, Zhiyong Jiang, Ping Fan, Per G. P. Ericson, Gang Song, Xu Luo, Fumin Lei, Yanhua Qu
Tags
global warming
biodiversity loss
genomic offset
ecological niche modelling
evolutionary rescue
landscape genetic analysis
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