Dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across Europe

International audience Identifying areas that contain species assemblages not found elsewhere in a region is central to conservation planning. Species assemblages contain networks of species interactions that underpin species dynamics, ecosystem processes, and contributions to people. Yet the unique...

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Published in:Current Biology
Main Authors: Gaüzère, Pierre, Botella, Christophe, Poggiato, Giovanni, O'Connor, Louise, M.J., Di Marco, Moreno, Dragonetti, Chiara, Maiorano, Luigi, Renaud, Julien, Thuiller, Wilfried
Other Authors: Laboratoire d'Ecologie Alpine (LECA), Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (Fédération OSUG)-Université Grenoble Alpes (UGA), Scientific Data Management (ZENITH), Inria Sophia Antipolis - Méditerranée (CRISAM), Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM), Modèles statistiques bayésiens et des valeurs extrêmes pour données structurées et de grande dimension (STATIFY), Centre Inria de l'Université Grenoble Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK), Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP), Université Grenoble Alpes (UGA), International Institute for Applied Systems Analysis Laxenburg (IIASA), Università degli Studi di Roma "La Sapienza" = Sapienza University Rome (UNIROMA), German Research Foundation (BR 2315/22-1), part of the 2018 joint BiodivERsA-Belmont Forum call (project “FutureWeb”), ANR-18-EBI4-0009,FutureWeb,Climate and land use change threat to the vertebrate European food web structure and functioning(2018), ANR-18-CE02-0010,EcoNet,Modèles statistiques avancés pour les réseaux écologiques(2018), European Project: 101026394,H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions / H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility,INDEBT(2022)
Format: Article in Journal/Newspaper
Language:English
Published: CCSD 2023
Subjects:
Online Access:https://hal-lirmm.ccsd.cnrs.fr/lirmm-04696017
https://doi.org/10.1016/j.cub.2023.10.069
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author Gaüzère, Pierre
Botella, Christophe
Poggiato, Giovanni
O'Connor, Louise, M.J.
Di Marco, Moreno
Dragonetti, Chiara
Maiorano, Luigi
Renaud, Julien
Thuiller, Wilfried
author2 Laboratoire d'Ecologie Alpine (LECA)
Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (Fédération OSUG)-Université Grenoble Alpes (UGA)
Scientific Data Management (ZENITH)
Inria Sophia Antipolis - Méditerranée (CRISAM)
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM)
Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)
Modèles statistiques bayésiens et des valeurs extrêmes pour données structurées et de grande dimension (STATIFY)
Centre Inria de l'Université Grenoble Alpes
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK)
Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)
Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP)
Université Grenoble Alpes (UGA)
International Institute for Applied Systems Analysis Laxenburg (IIASA)
Università degli Studi di Roma "La Sapienza" = Sapienza University Rome (UNIROMA)
German Research Foundation (BR 2315/22-1), part of the 2018 joint BiodivERsA-Belmont Forum call (project “FutureWeb”)
ANR-18-EBI4-0009,FutureWeb,Climate and land use change threat to the vertebrate European food web structure and functioning(2018)
ANR-18-CE02-0010,EcoNet,Modèles statistiques avancés pour les réseaux écologiques(2018)
European Project: 101026394,H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions / H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility,INDEBT(2022)
author_facet Gaüzère, Pierre
Botella, Christophe
Poggiato, Giovanni
O'Connor, Louise, M.J.
Di Marco, Moreno
Dragonetti, Chiara
Maiorano, Luigi
Renaud, Julien
Thuiller, Wilfried
author_sort Gaüzère, Pierre
collection Université Savoie Mont Blanc: HAL
container_issue 23
container_start_page 5263
container_title Current Biology
container_volume 33
description International audience Identifying areas that contain species assemblages not found elsewhere in a region is central to conservation planning. Species assemblages contain networks of species interactions that underpin species dynamics, ecosystem processes, and contributions to people. Yet the uniqueness of interaction networks in a regional context has rarely been assessed. Here, we estimated the spatial uniqueness of 10,000 terrestrial vertebrate trophic networks across Europe (1,164 species, 50,408 potential interactions) based on the amount of similarity between all local networks mapped at a 10 km resolution. Our results revealed more unique networks in the Arctic bioregion, but also in southern Europe and isolated islands. We then contrasted the uniqueness of trophic networks with their vulnerability to human footprint and future climate change and measured their coverage within protected areas. This analysis revealed that unique networks situated in southern Europe were particularly exposed to human footprint and that unique networks in the Arctic might be at risk from future climate change. However, considering interaction networks at the level of trophic groups, rather than species, revealed that the general structure of trophic networks was redundant across the continent, in contrast to species’ interactions. We argue that proactive European conservation strategies might gain relevance by turning their eyes toward interaction networks that are both unique and vulnerable.
format Article in Journal/Newspaper
genre Arctic
Climate change
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Climate change
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op_doi https://doi.org/10.1016/j.cub.2023.10.069
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info:eu-repo/grantAgreement//101026394/EU/Measuring and explaining the global debt of biotic homogenization in a changing world/INDEBT
doi:10.1016/j.cub.2023.10.069
op_source ISSN: 0960-9822
EISSN: 1879-0445
Current Biology
https://hal-lirmm.ccsd.cnrs.fr/lirmm-04696017
Current Biology, 2023, 33 (23), pp.5263-5271. ⟨10.1016/j.cub.2023.10.069⟩
publishDate 2023
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spelling ftunivsavoie:oai:HAL:lirmm-04696017v1 2025-04-13T14:14:08+00:00 Dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across Europe Gaüzère, Pierre Botella, Christophe Poggiato, Giovanni O'Connor, Louise, M.J. Di Marco, Moreno Dragonetti, Chiara Maiorano, Luigi Renaud, Julien Thuiller, Wilfried Laboratoire d'Ecologie Alpine (LECA) Université Savoie Mont Blanc (USMB Université de Savoie Université de Chambéry )-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Grenoble (Fédération OSUG)-Université Grenoble Alpes (UGA) Scientific Data Management (ZENITH) Inria Sophia Antipolis - Méditerranée (CRISAM) Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM) Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM) Modèles statistiques bayésiens et des valeurs extrêmes pour données structurées et de grande dimension (STATIFY) Centre Inria de l'Université Grenoble Alpes Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire Jean Kuntzmann (LJK) Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP) Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP) Université Grenoble Alpes (UGA) International Institute for Applied Systems Analysis Laxenburg (IIASA) Università degli Studi di Roma "La Sapienza" = Sapienza University Rome (UNIROMA) German Research Foundation (BR 2315/22-1), part of the 2018 joint BiodivERsA-Belmont Forum call (project “FutureWeb”) ANR-18-EBI4-0009,FutureWeb,Climate and land use change threat to the vertebrate European food web structure and functioning(2018) ANR-18-CE02-0010,EcoNet,Modèles statistiques avancés pour les réseaux écologiques(2018) European Project: 101026394,H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions / H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility,INDEBT(2022) 2023-12 https://hal-lirmm.ccsd.cnrs.fr/lirmm-04696017 https://doi.org/10.1016/j.cub.2023.10.069 en eng CCSD Elsevier info:eu-repo/semantics/altIdentifier/doi/10.1016/j.cub.2023.10.069 info:eu-repo/grantAgreement//101026394/EU/Measuring and explaining the global debt of biotic homogenization in a changing world/INDEBT doi:10.1016/j.cub.2023.10.069 ISSN: 0960-9822 EISSN: 1879-0445 Current Biology https://hal-lirmm.ccsd.cnrs.fr/lirmm-04696017 Current Biology, 2023, 33 (23), pp.5263-5271. ⟨10.1016/j.cub.2023.10.069⟩ Food web Tetrapods Beta diversity Conservation biogeography Distinctiveness Biodiversity [SDE.BE]Environmental Sciences/Biodiversity and Ecology info:eu-repo/semantics/article Journal articles 2023 ftunivsavoie https://doi.org/10.1016/j.cub.2023.10.069 2025-03-17T00:46:29Z International audience Identifying areas that contain species assemblages not found elsewhere in a region is central to conservation planning. Species assemblages contain networks of species interactions that underpin species dynamics, ecosystem processes, and contributions to people. Yet the uniqueness of interaction networks in a regional context has rarely been assessed. Here, we estimated the spatial uniqueness of 10,000 terrestrial vertebrate trophic networks across Europe (1,164 species, 50,408 potential interactions) based on the amount of similarity between all local networks mapped at a 10 km resolution. Our results revealed more unique networks in the Arctic bioregion, but also in southern Europe and isolated islands. We then contrasted the uniqueness of trophic networks with their vulnerability to human footprint and future climate change and measured their coverage within protected areas. This analysis revealed that unique networks situated in southern Europe were particularly exposed to human footprint and that unique networks in the Arctic might be at risk from future climate change. However, considering interaction networks at the level of trophic groups, rather than species, revealed that the general structure of trophic networks was redundant across the continent, in contrast to species’ interactions. We argue that proactive European conservation strategies might gain relevance by turning their eyes toward interaction networks that are both unique and vulnerable. Article in Journal/Newspaper Arctic Climate change Université Savoie Mont Blanc: HAL Arctic Current Biology 33 23 5263 5271.e3
spellingShingle Food web
Tetrapods
Beta diversity
Conservation biogeography
Distinctiveness
Biodiversity
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
Gaüzère, Pierre
Botella, Christophe
Poggiato, Giovanni
O'Connor, Louise, M.J.
Di Marco, Moreno
Dragonetti, Chiara
Maiorano, Luigi
Renaud, Julien
Thuiller, Wilfried
Dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across Europe
title Dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across Europe
title_full Dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across Europe
title_fullStr Dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across Europe
title_full_unstemmed Dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across Europe
title_short Dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across Europe
title_sort dissimilarity of vertebrate trophic interactions reveals spatial uniqueness but functional redundancy across europe
topic Food web
Tetrapods
Beta diversity
Conservation biogeography
Distinctiveness
Biodiversity
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
topic_facet Food web
Tetrapods
Beta diversity
Conservation biogeography
Distinctiveness
Biodiversity
[SDE.BE]Environmental Sciences/Biodiversity and Ecology
url https://hal-lirmm.ccsd.cnrs.fr/lirmm-04696017
https://doi.org/10.1016/j.cub.2023.10.069