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The combination of genomic offset and niche modelling provides insights into climate change-driven vulnerability
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,...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381542/ https://www.ncbi.nlm.nih.gov/pubmed/35974023 http://dx.doi.org/10.1038/s41467-022-32546-z |
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author | Chen, Yilin Jiang, Zhiyong Fan, Ping Ericson, Per G. P. Song, Gang Luo, Xu Lei, Fumin Qu, Yanhua |
author_facet | Chen, Yilin Jiang, Zhiyong Fan, Ping Ericson, Per G. P. Song, Gang Luo, Xu Lei, Fumin Qu, Yanhua |
author_sort | Chen, Yilin |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9381542 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-93815422022-08-18 The combination of genomic offset and niche modelling provides insights into climate change-driven vulnerability Chen, Yilin Jiang, Zhiyong Fan, Ping Ericson, Per G. P. Song, Gang Luo, Xu Lei, Fumin Qu, Yanhua Nat Commun Article 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. Nature Publishing Group UK 2022-08-16 /pmc/articles/PMC9381542/ /pubmed/35974023 http://dx.doi.org/10.1038/s41467-022-32546-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Chen, Yilin Jiang, Zhiyong Fan, Ping Ericson, Per G. P. Song, Gang Luo, Xu Lei, Fumin Qu, Yanhua The combination of genomic offset and niche modelling provides insights into climate change-driven vulnerability |
title | The combination of genomic offset and niche modelling provides insights into climate change-driven vulnerability |
title_full | The combination of genomic offset and niche modelling provides insights into climate change-driven vulnerability |
title_fullStr | The combination of genomic offset and niche modelling provides insights into climate change-driven vulnerability |
title_full_unstemmed | The combination of genomic offset and niche modelling provides insights into climate change-driven vulnerability |
title_short | The combination of genomic offset and niche modelling provides insights into climate change-driven vulnerability |
title_sort | combination of genomic offset and niche modelling provides insights into climate change-driven vulnerability |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9381542/ https://www.ncbi.nlm.nih.gov/pubmed/35974023 http://dx.doi.org/10.1038/s41467-022-32546-z |
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