Global change and climate-driven invasion of the Pacific oyster (Crassostrea gigas) along European coasts: a bioenergetics modelling approach

• Published in: Journal of Biogeography
• Main Authors: Thomas, Yoann, Pouvreau, Stéphane, Alunno-Bruscia, Marianne, Barillé, Laurent, Gohin, Francis, Bryère, Philippe, Gernez, Pierre
• Other Authors: Mer, molécules et santé EA 2160 (MMS), Le Mans Université (UM)-Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-Université de Nantes - UFR des Sciences Pharmaceutiques et Biologiques, Université de Nantes (UN)-Université de Nantes (UN), Laboratoire des Sciences de l'Environnement Marin (LEMAR) (LEMAR), Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Brest (UBO)-Institut Universitaire Européen de la Mer (IUEM), Institut de Recherche pour le Développement (IRD)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), Unité Dyneco, Laboratoire Pelagos, Dynamiques de l'Environnement Côtier (DYNECO), Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER), ACRI-HE, ANR-12-AGRO-0001,GIGASSAT,Adaptation des écosystèmes ostréicoles au changement global(2012)
• Format: Article in Journal/Newspaper
• Language: English
• Published: HAL CCSD 2016
• Subjects: ACL; remote-sensing; biogeographical range expansion; Crassostrea gigas; DEB model; European coasts; functional traits; global change; individual-based model; invasive species; [SDV.EE.BIO]Life Sciences [q-bio]/Ecology; environment/Bioclimatology; [SDE.BE]Environmental Sciences/Biodiversity and Ecology; Pacific; Pacific oyster
• Online Access: https://hal.archives-ouvertes.fr/hal-02530683; https://doi.org/10.1111/jbi.12665

International audience The spread of non-indigenous species in marine ecosystems world-wide is one of today's most serious environmental concerns. Using mechanistic modelling, we investigated how global change relates to the invasion of European coasts by a non-native marine invertebrate, the Pacific oyster Crassostrea gigas.Location: Bourgneuf Bay on the French Atlantic coast was considered as the northern boundary of C.gigas expansion at the time of its introduction to Europe in the 1970s. From this latitudinal reference, variations in the spatial distribution of the C.gigas reproductive niche were analysed along the north-western European coast from Gibraltar to Norway.Methods: The effects of environmental variations on C.gigas physiology and phenology were studied using a bioenergetics model based on Dynamic Energy Budget theory. The model was forced with environmental time series including insitu phytoplankton data, and satellite data of sea surface temperature and suspended particulate matter concentration.Results: Simulation outputs were successfully validated against insitu oyster growth data. In Bourgneuf Bay, the rise in seawater temperature and phytoplankton concentration has increased C.gigas reproductive effort and led to precocious spawning periods since the 1960s. At the European scale, seawater temperature increase caused a drastic northward shift (1400km within 30years) in the C.gigas reproductive niche and optimal thermal conditions for early life stage development.Main conclusions: We demonstrated that the poleward expansion of the invasive species C.gigas is related to global warming and increase in phytoplankton abundance. The combination of mechanistic bioenergetics modelling with insitu and satellite environmental data is a valuable framework for ecosystem studies. It offers a generic approach to analyse historical geographical shifts and to predict the biogeographical changes expected to occur in a climate-changing world.