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...

Full description

Bibliographic Details
Published in:Journal of Biogeography
Main Authors: Guillon, Michaël, Martínez‐Freiría, Fernando, Lucchini, Nahla, Ursenbacher, Sylvain, Surget‐Groba, Yann, Kageyama, Masa, Lagarde, Frédéric, Cubizolle, Hervé, Lourdais, Olivier
Other Authors: Agence Nationale de la Recherche, European Regional Development Fund, Fundação para a Ciência e a Tecnologia
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2024
Subjects:
Online Access:http://dx.doi.org/10.1111/jbi.14828
https://onlinelibrary.wiley.com/doi/pdf/10.1111/jbi.14828
id crwiley:10.1111/jbi.14828
record_format openpolar
spelling 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
institution Open Polar
collection Wiley Online Library
op_collection_id 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