Microclimate reveals the true thermal niche of forest plant species

Author:

Haesen Stef12ORCID,Lenoir Jonathan3ORCID,Gril Eva3ORCID,De Frenne Pieter4ORCID,Lembrechts Jonas J.5ORCID,Kopecký Martin67ORCID,Macek Martin6ORCID,Man Matěj68ORCID,Wild Jan69ORCID,Van Meerbeek Koenraad12ORCID

Affiliation:

1. Department of Earth and Environmental Sciences, Celestijnenlaan 200E Leuven Belgium

2. KU Leuven Plant Institute, KU Leuven Leuven Belgium

3. UMR CNRS 7058 « Ecologie et Dynamique des Systèmes Anthropisés » (EDYSAN) Université de Picardie Jules Verne Amiens France

4. Forest & Nature Lab, Department of Environment Ghent University Melle‐Gontrode Belgium

5. Research Group PLECO (Plants and Ecosystems) University of Antwerp Wilrijk Belgium

6. Institute of Botany of the Czech Academy of Sciences Průhonice Czech Republic

7. Faculty of Forestry and Wood Sciences Czech University of Life Sciences Prague Prague 6 ‐ Suchdol Czech Republic

8. Department of Botany, Faculty of Science Charles University Prague 2 Czech Republic

9. Faculty of Environmental Sciences Czech University of Life Sciences Prague Prague 6 ‐ Suchdol Czech Republic

Abstract

AbstractSpecies distributions are conventionally modelled using coarse‐grained macroclimate data measured in open areas, potentially leading to biased predictions since most terrestrial species reside in the shade of trees. For forest plant species across Europe, we compared conventional macroclimate‐based species distribution models (SDMs) with models corrected for forest microclimate buffering. We show that microclimate‐based SDMs at high spatial resolution outperformed models using macroclimate and microclimate data at coarser resolution. Additionally, macroclimate‐based models introduced a systematic bias in modelled species response curves, which could result in erroneous range shift predictions. Critically important for conservation science, these models were unable to identify warm and cold refugia at the range edges of species distributions. Our study emphasizes the crucial role of microclimate data when SDMs are used to gain insights into biodiversity conservation in the face of climate change, particularly given the growing policy and management focus on the conservation of refugia worldwide.

Funder

Agence Nationale de la Recherche

Akademie Věd České Republiky

Centre National de la Recherche Scientifique

European Cooperation in Science and Technology

Fonds Wetenschappelijk Onderzoek

Grantová Agentura České Republiky

KU Leuven

Publisher

Wiley

Subject

Ecology, Evolution, Behavior and Systematics

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