Inferring current and Last Glacial Maximum distributions are improved by physiology‐relevant climatic variables in cold‐adapted ectotherms
Abstract Aim Ecological niche‐based models (ENM) frequently rely on bioclimatic variables (BioV) to reconstruct biogeographic scenarios for species evolution, ignoring mechanistic relations. We tested if climatic predictors relevant to species hydric and thermal physiology better proximate distribut...
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crwiley:10.1111/jbi.14828 2024-09-09T20:03:11+00:00 Inferring current and Last Glacial Maximum distributions are improved by physiology‐relevant climatic variables in cold‐adapted ectotherms Guillon, Michaël Martínez‐Freiría, Fernando Lucchini, Nahla Ursenbacher, Sylvain Surget‐Groba, Yann Kageyama, Masa Lagarde, Frédéric Cubizolle, Hervé Lourdais, Olivier Agence Nationale de la Recherche European Regional Development Fund Fundação para a Ciência e a Tecnologia 2024 http://dx.doi.org/10.1111/jbi.14828 https://onlinelibrary.wiley.com/doi/pdf/10.1111/jbi.14828 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Journal of Biogeography volume 51, issue 8, page 1400-1415 ISSN 0305-0270 1365-2699 journal-article 2024 crwiley https://doi.org/10.1111/jbi.14828 2024-07-18T04:27:30Z Abstract Aim Ecological niche‐based models (ENM) frequently rely on bioclimatic variables (BioV) to reconstruct biogeographic scenarios for species evolution, ignoring mechanistic relations. We tested if climatic predictors relevant to species hydric and thermal physiology better proximate distribution patterns and support location of Pleistocene refugia derived from phylogeographic studies. Location The Western Palaearctic. Taxon Vipera berus and Zootoca vivipara , two cold‐adapted species. Methods We used two sets of variables, that is physiologically meaningful climatic variables (PMV) and BioV, in a multi‐algorithm ENM approach, to compare their ability to predict current and Last Glacial Maximum (LGM) species ranges. We estimated current and LGM permafrost extent to address spatially the cold hardiness dissimilarity between both species. Results PMV explained more accurately the current distribution of these two cold‐adapted species and identified the importance of summer temperature and solar radiation that constrain activity in cold habitats. PMV also provide a better insight than BioV predictors on LGM distribution. By including notably, the permafrost extent, PMV‐based models gave parsimonious putative arrangement and validity of refugia for each clade and subclade in accordance with phylogeographic data. Northern refugia were also identified from 48 to 52° N for V. berus and from 50 to 54° N for Z. vivipara . Main Conclusions Our hybrid approach based on PMV generated more realistic predictions for both current (biogeographical validation) and past distributions (phylogeographic validation). By combining constraints during the activity period (summer climatic niche) and those inherent to the wintering period (freeze tolerance), we managed to identify glacial refuges in agreement with phylogeographic hypotheses concerning post‐glacial routes and colonization scenarios. Article in Journal/Newspaper permafrost Wiley Online Library Journal of Biogeography |
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Open Polar |
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Wiley Online Library |
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crwiley |
language |
English |
description |
Abstract Aim Ecological niche‐based models (ENM) frequently rely on bioclimatic variables (BioV) to reconstruct biogeographic scenarios for species evolution, ignoring mechanistic relations. We tested if climatic predictors relevant to species hydric and thermal physiology better proximate distribution patterns and support location of Pleistocene refugia derived from phylogeographic studies. Location The Western Palaearctic. Taxon Vipera berus and Zootoca vivipara , two cold‐adapted species. Methods We used two sets of variables, that is physiologically meaningful climatic variables (PMV) and BioV, in a multi‐algorithm ENM approach, to compare their ability to predict current and Last Glacial Maximum (LGM) species ranges. We estimated current and LGM permafrost extent to address spatially the cold hardiness dissimilarity between both species. Results PMV explained more accurately the current distribution of these two cold‐adapted species and identified the importance of summer temperature and solar radiation that constrain activity in cold habitats. PMV also provide a better insight than BioV predictors on LGM distribution. By including notably, the permafrost extent, PMV‐based models gave parsimonious putative arrangement and validity of refugia for each clade and subclade in accordance with phylogeographic data. Northern refugia were also identified from 48 to 52° N for V. berus and from 50 to 54° N for Z. vivipara . Main Conclusions Our hybrid approach based on PMV generated more realistic predictions for both current (biogeographical validation) and past distributions (phylogeographic validation). By combining constraints during the activity period (summer climatic niche) and those inherent to the wintering period (freeze tolerance), we managed to identify glacial refuges in agreement with phylogeographic hypotheses concerning post‐glacial routes and colonization scenarios. |
author2 |
Agence Nationale de la Recherche European Regional Development Fund Fundação para a Ciência e a Tecnologia |
format |
Article in Journal/Newspaper |
author |
Guillon, Michaël Martínez‐Freiría, Fernando Lucchini, Nahla Ursenbacher, Sylvain Surget‐Groba, Yann Kageyama, Masa Lagarde, Frédéric Cubizolle, Hervé Lourdais, Olivier |
spellingShingle |
Guillon, Michaël Martínez‐Freiría, Fernando Lucchini, Nahla Ursenbacher, Sylvain Surget‐Groba, Yann Kageyama, Masa Lagarde, Frédéric Cubizolle, Hervé Lourdais, Olivier Inferring current and Last Glacial Maximum distributions are improved by physiology‐relevant climatic variables in cold‐adapted ectotherms |
author_facet |
Guillon, Michaël Martínez‐Freiría, Fernando Lucchini, Nahla Ursenbacher, Sylvain Surget‐Groba, Yann Kageyama, Masa Lagarde, Frédéric Cubizolle, Hervé Lourdais, Olivier |
author_sort |
Guillon, Michaël |
title |
Inferring current and Last Glacial Maximum distributions are improved by physiology‐relevant climatic variables in cold‐adapted ectotherms |
title_short |
Inferring current and Last Glacial Maximum distributions are improved by physiology‐relevant climatic variables in cold‐adapted ectotherms |
title_full |
Inferring current and Last Glacial Maximum distributions are improved by physiology‐relevant climatic variables in cold‐adapted ectotherms |
title_fullStr |
Inferring current and Last Glacial Maximum distributions are improved by physiology‐relevant climatic variables in cold‐adapted ectotherms |
title_full_unstemmed |
Inferring current and Last Glacial Maximum distributions are improved by physiology‐relevant climatic variables in cold‐adapted ectotherms |
title_sort |
inferring current and last glacial maximum distributions are improved by physiology‐relevant climatic variables in cold‐adapted ectotherms |
publisher |
Wiley |
publishDate |
2024 |
url |
http://dx.doi.org/10.1111/jbi.14828 https://onlinelibrary.wiley.com/doi/pdf/10.1111/jbi.14828 |
genre |
permafrost |
genre_facet |
permafrost |
op_source |
Journal of Biogeography volume 51, issue 8, page 1400-1415 ISSN 0305-0270 1365-2699 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1111/jbi.14828 |
container_title |
Journal of Biogeography |
_version_ |
1809935137444462592 |