Paleorecords Reveal Biological Mechanisms Crucial for Reliable Species Range Shift Projections Amid Rapid Climate Change

The recent acceleration of global climate warming has created an urgent need for reliable projections of species distributions, widely used by natural resource managers. Such projections have been mainly produced by species distribution models with little information on their performances in novel climates. Here, we hindcast the range shifts of forest tree species across Europe over the last 12,000 years to compare the reliability of three different types of models. We show that in the most climatically dissimilar conditions, process-explicit models (PEMs) tend to outperform correlative species distribution models (CSDMs), and that PEM projections are likely to be more reliable than those made with CSDMs by the end of the 21st century. These results demonstrate for the first time the often promoted albeit so far untested idea that explicit description of mechanisms confers model robustness, and highlight a new avenue to increase model projection reliability in the future.

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Publication Details

Journal
Ecology Letters
Published
2025-02-01
DOI
https://doi.org/10.1111/ele.70080
Citations
8
Primary Topic
Species Distribution and Climate Change
Type
article
Field-Weighted Citation Impact
14.71

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article

Paleorecords Reveal Biological Mechanisms Crucial for Reliable Species Range Shift Projections Amid Rapid Climate Change

Edward Armstrong, Anne Duputié, Isabelle Chuine, Frédérik Saltré et al.
8 citations
Ecology Letters
Species Distribution and Climate Change
14.71
article

Paleorecords Reveal Biological Mechanisms Crucial for Reliable Species Range Shift Projections Amid Rapid Climate Change

Edward Armstrong, Anne Duputié, Isabelle Chuine, Frédérik Saltré, Florent Mouillot, Victor Van der Meersch, Hendrik Davi
article en
8 citations

Abstract

The recent acceleration of global climate warming has created an urgent need for reliable projections of species distributions, widely used by natural resource managers. Such projections have been mainly produced by species distribution models with little information on their performances in novel climates. Here, we hindcast the range shifts of forest tree species across Europe over the last 12,000 years to compare the reliability of three different types of models. We show that in the most climatically dissimilar conditions, process-explicit models (PEMs) tend to outperform correlative species distribution models (CSDMs), and that PEM projections are likely to be more reliable than those made with CSDMs by the end of the 21st century. These results demonstrate for the first time the often promoted albeit so far untested idea that explicit description of mechanisms confers model robustness, and highlight a new avenue to increase model projection reliability in the future.

Ecology LettersVol. 28(2)
University of Technology Sydney (AU), Centre National de la Recherche Scientifique (FR), Australian Museum (AU), University of Helsinki (FI), École Pratique des Hautes Études (FR), Université de Montpellier (FR), Université de Lille (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Centre d'Écologie Fonctionnelle et Évolutive (FR), Écologie des Forêts Méditerranéennes (FR), Unité Évolution, Écologie et Paléontologie (FR), Institut de Recherche pour le Développement (FR), James Cook University (AU)
National Aeronautics and Space Administration, European Commission, Université de Montpellier, Ames Research Center
Openalex Percentile: Top 1%
Species Distribution and Climate Change
14.71
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