Contributors: Centre Oceanogràfic de les Balears Palma, Spain (COB); Instituto Espagňol de Oceanografia (IEO); Consejo Superior de Investigaciones Cientificas España = Spanish National Research Council Spain (CSIC)-Consejo Superior de Investigaciones Cientificas España = Spanish National Research Council Spain (CSIC); Centro Oceanografico de Malaga Fuengirola, Spain (COM); Instituto Español de Oceanografía - Spanish Institute of Oceanography (IEO); Institut méditerranéen d'océanologie (MIO); Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS); Institute for Cross-Disciplinary Physics and Complex Systems Mallorca (IFISC); Consejo Superior de Investigaciones Cientificas España = Spanish National Research Council Spain (CSIC)-Universitat de les Illes Balears = Universidad de las Islas Baleares = University of the Balearic Islands (UIB); Institut de biologie de l'ENS Paris (IBENS); Département de Biologie - ENS-PSL (IBENS); École normale supérieure - Paris (ENS-PSL); Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Paris (ENS-PSL); Université Paris Sciences et Lettres (PSL)-Université Paris Sciences et Lettres (PSL)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS); Ecosystèmes Marins Exploités (UMR EME); Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM); Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER); MARine Biodiversity Exploitation and Conservation (UMR MARBEC); Institut de Recherche pour le Développement (IRD)-Institut Français de Recherche pour l'Exploitation de la Mer (IFREMER)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS); This work was supported by two post-doctoral contracts from the Spanish program ‘Ramon y Cajal’ (RYC-2015-18646) and from the regional government of the Balearic Islands co-funded by the European Social Fund 2014-2020 to M.H.; Juan de la Cierva Incorporacion fellowship (IJCI-2014-22343) and from MISTRALS ENVI-Med through the HYDROGENCONNECT project to V.R; French program “Investissements d’Avenir” implemented by ANR (ANR-10-LABX-54 MEMOLIFE and ANR-11-IDEX-0001-02 PSL Research University) to E.S-G; and Spanish National projects LAOP (CTM2015-66407-P) to P.M. and E.H-G., and CLIFISH (CTM2015-66400-C3-1-R) to M.H., B.G. and E.M (AEI/FEDER, EU). PR and MH acknowledge funding of the H2020 PANDORA project (Nr. 773713).; ANR-10-IDEX-0001,PSL,Paris Sciences et Lettres(2010); ANR-11-IDEX-0001,Amidex,INITIATIVE D'EXCELLENCE AIX MARSEILLE UNIVERSITE(2011)
نبذة مختصرة : International audience ; Marine resources stewardships are progressively becoming more receptive to an effective incorporation of both ecosystem and environmental complexities into the analytical frameworks of fisheries assessment. Understanding and predicting marine fish production for spatially and demographically complex populations in changing environmental conditions is however still a difficult task. Indeed, fisheries assessment is mostly based on deterministic models that lack realistic parameterizations of the intricate biological and physical processes shaping recruitment, a cornerstone in population dynamics. We use here a large metapopulation of a harvested fish, the European hake (Merluccius merluccius), managed across transnational boundaries in the northwestern Mediterranean, to model fish recruitment dynamics in terms of physics-dependent drivers related to dispersal and survival. The connectivity among nearby subpopulations is evaluated by simulating multi-annual Lagrangian indices of larval retention, imports, and self-recruitment. Along with a proxy of the regional hydroclimate influencing early life stages survival, we then statistically determine the relative contribution of dispersal and hydroclimate for recruitment across contiguous management units. We show that inter-annual variability of recruitment is well reproduced by hydroclimatic influences and synthetic connectivity estimates. Self-recruitment (i.e., the ratio of retained locally produced larvae to the total number of incoming larvae) is the most powerful metric as it integrates the roles of retained local recruits and immigrants from surrounding subpopulations and is able to capture circulation patterns affecting recruitment at the scale of management units. We also reveal that the climatic impact on recruitment is spatially structured at regional scale due to contrasting biophysical processes not related to dispersal. Self-recruitment calculated for each management unit explains between 19% and 32.9% of the variance of ...
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