Impacts of climate change on the Bay of ...
Type de document :
Article dans une revue scientifique: Article original
DOI :
Titre :
Impacts of climate change on the Bay of Seine ecosystem: Forcing a spatio‐temporal trophic model with predictions from an ecological niche model
Auteur(s) :
Bourdaud, Pierre [Auteur]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Ben Rais Lasram, Frida [Auteur]
Université du Littoral Côte d'Opale [ULCO]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Araignous, Emma [Auteur]
France Energies Marines [Brest]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Champagnat, Juliette [Auteur]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Grusd, Samantha [Auteur]
University of Cape Town
Halouani, Ghassen [Auteur]
Laboratoire Ressources Halieutiques de Boulogne [LRHBL]
Institut Français de Recherche pour l'Exploitation de la Mer [IFREMER]
Hattab, Tarek [Auteur]
MARine Biodiversity Exploitation and Conservation [UMR MARBEC]
Leroy, Boris [Auteur]
Musée National d'Histoire Naturelle de Luxembourg [MNHN Luxembourg]
Biologie des Organismes et Ecosystèmes Aquatiques [BOREA]
Nogues, Quentin [Auteur]
Normandie Université [NU]
Université de Caen Normandie [UNICAEN]
Biologie des Organismes et Ecosystèmes Aquatiques [BOREA]
Raoux, Aurore [Auteur]
Normandie Université [NU]
Université de Caen Normandie [UNICAEN]
Morphodynamique Continentale et Côtière [M2C]
Safi, Georges [Auteur]
Biologie des Organismes et Ecosystèmes Aquatiques [BOREA]
France Energies Marines [Brest]
Niquil, Nathalie [Auteur]
Université de Caen Normandie [UNICAEN]
Normandie Université [NU]
Biologie des Organismes et Ecosystèmes Aquatiques [BOREA]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Ben Rais Lasram, Frida [Auteur]
Université du Littoral Côte d'Opale [ULCO]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Araignous, Emma [Auteur]
France Energies Marines [Brest]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Champagnat, Juliette [Auteur]
Laboratoire d’Océanologie et de Géosciences (LOG) - UMR 8187 [LOG]
Grusd, Samantha [Auteur]
University of Cape Town
Halouani, Ghassen [Auteur]
Laboratoire Ressources Halieutiques de Boulogne [LRHBL]
Institut Français de Recherche pour l'Exploitation de la Mer [IFREMER]
Hattab, Tarek [Auteur]
MARine Biodiversity Exploitation and Conservation [UMR MARBEC]
Leroy, Boris [Auteur]
Musée National d'Histoire Naturelle de Luxembourg [MNHN Luxembourg]
Biologie des Organismes et Ecosystèmes Aquatiques [BOREA]
Nogues, Quentin [Auteur]
Normandie Université [NU]
Université de Caen Normandie [UNICAEN]
Biologie des Organismes et Ecosystèmes Aquatiques [BOREA]
Raoux, Aurore [Auteur]
Normandie Université [NU]
Université de Caen Normandie [UNICAEN]
Morphodynamique Continentale et Côtière [M2C]
Safi, Georges [Auteur]
Biologie des Organismes et Ecosystèmes Aquatiques [BOREA]
France Energies Marines [Brest]
Niquil, Nathalie [Auteur]
Université de Caen Normandie [UNICAEN]
Normandie Université [NU]
Biologie des Organismes et Ecosystèmes Aquatiques [BOREA]
Titre de la revue :
Fisheries Oceanography
Pagination :
471-489
Éditeur :
Wiley
Date de publication :
2021-09
ISSN :
1054-6006
Mot(s)-clé(s) en anglais :
climate change
ecological niche modelling
Ecospace
fisheries
trophic interactions
ecological niche modelling
Ecospace
fisheries
trophic interactions
Discipline(s) HAL :
Sciences de l'environnement/Biodiversité et Ecologie
Résumé en anglais : [en]
Climate change is already known to cause irreversible impacts on ecosystems that are difficult to accurately predict due to the multiple scales at which it will interact. Predictions at the community level are mainly focused ...
Lire la suite >Climate change is already known to cause irreversible impacts on ecosystems that are difficult to accurately predict due to the multiple scales at which it will interact. Predictions at the community level are mainly focused on the future distribution of marine species biomass using ecological niche modelling, which requires extensive efforts concerning the effects that trophic interactions could have on the realized species dynamics. In this study, a set of species distribution models predictions were used to force the spatially-explicit trophic model Ecospace in order to evaluate the potentials impacts that two 2,100 climate scenarios, RCP2.6 and RCP8.5, could have on a highly exploited ecosystem, the Bay of Seine (France). Simulations demonstrated that both scenarios would influence the community of the Bay of Seine ecosystem: as expected, more intense changes were predicted with the extreme scenario RCP8.5 than with the RCP2.6 scenario. Under both scenarios, a majority of species underwent a decrease of biomass, although some increased. However, in both cases the stability of the majority of species dynamics was lowered, the sustainability of the fishery. Differences between niche modelling predictions and those obtained through the forcing in Ecospace highlighted the paramount importance of considering trophic interactions in climate change simulations. These results illustrate the requirement of multiplying novel approaches for efficiently forecasting potential impacts of climate change.Lire moins >
Lire la suite >Climate change is already known to cause irreversible impacts on ecosystems that are difficult to accurately predict due to the multiple scales at which it will interact. Predictions at the community level are mainly focused on the future distribution of marine species biomass using ecological niche modelling, which requires extensive efforts concerning the effects that trophic interactions could have on the realized species dynamics. In this study, a set of species distribution models predictions were used to force the spatially-explicit trophic model Ecospace in order to evaluate the potentials impacts that two 2,100 climate scenarios, RCP2.6 and RCP8.5, could have on a highly exploited ecosystem, the Bay of Seine (France). Simulations demonstrated that both scenarios would influence the community of the Bay of Seine ecosystem: as expected, more intense changes were predicted with the extreme scenario RCP8.5 than with the RCP2.6 scenario. Under both scenarios, a majority of species underwent a decrease of biomass, although some increased. However, in both cases the stability of the majority of species dynamics was lowered, the sustainability of the fishery. Differences between niche modelling predictions and those obtained through the forcing in Ecospace highlighted the paramount importance of considering trophic interactions in climate change simulations. These results illustrate the requirement of multiplying novel approaches for efficiently forecasting potential impacts of climate change.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Commentaire :
(IF 2.67; Q1)
Source :
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