Inferring current and Last Glacial Maximum distributions are improved by physiology‐relevant climatic variables in cold‐adapted ectotherms
International audience 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 bet...
Published in: | Journal of Biogeography |
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Main Authors: | , , , , , , , , |
Other Authors: | , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
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HAL CCSD
2024
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Online Access: | https://hal.science/hal-04510605 https://doi.org/10.1111/jbi.14828 |
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Archives ouvertes de Paris-Saclay |
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English |
topic |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment |
spellingShingle |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment 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 |
topic_facet |
[SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment |
description |
International audience 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 |
Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) Modélisation du climat (CLIM) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) |
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 |
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 |
HAL CCSD |
publishDate |
2024 |
url |
https://hal.science/hal-04510605 https://doi.org/10.1111/jbi.14828 |
genre |
permafrost |
genre_facet |
permafrost |
op_source |
ISSN: 0305-0270 EISSN: 1365-2699 Journal of Biogeography https://hal.science/hal-04510605 Journal of Biogeography, 2024, ⟨10.1111/jbi.14828⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.1111/jbi.14828 hal-04510605 https://hal.science/hal-04510605 doi:10.1111/jbi.14828 |
op_doi |
https://doi.org/10.1111/jbi.14828 |
container_title |
Journal of Biogeography |
_version_ |
1812180463605776384 |
spelling |
ftuniparissaclay:oai:HAL:hal-04510605v1 2024-10-06T13:52:08+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 Centre d'Études Biologiques de Chizé - UMR 7372 (CEBC) La Rochelle Université (ULR)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE) Laboratoire des Sciences du Climat et de l'Environnement Gif-sur-Yvette (LSCE) Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA) Modélisation du climat (CLIM) Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Direction de Recherche Fondamentale (CEA) (DRF (CEA)) 2024-03-14 https://hal.science/hal-04510605 https://doi.org/10.1111/jbi.14828 en eng HAL CCSD Wiley info:eu-repo/semantics/altIdentifier/doi/10.1111/jbi.14828 hal-04510605 https://hal.science/hal-04510605 doi:10.1111/jbi.14828 ISSN: 0305-0270 EISSN: 1365-2699 Journal of Biogeography https://hal.science/hal-04510605 Journal of Biogeography, 2024, ⟨10.1111/jbi.14828⟩ [SDU.OCEAN]Sciences of the Universe [physics]/Ocean Atmosphere [SDU.ENVI]Sciences of the Universe [physics]/Continental interfaces environment info:eu-repo/semantics/article Journal articles 2024 ftuniparissaclay https://doi.org/10.1111/jbi.14828 2024-09-06T00:30:26Z International audience 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 Archives ouvertes de Paris-Saclay Journal of Biogeography |