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http://hdl.handle.net/10261/189503
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dc.contributor.author | Hidalgo, Manuel | es_ES |
dc.contributor.author | Rossi, Vincent | es_ES |
dc.contributor.author | Monroy, Pedro | es_ES |
dc.contributor.author | Ser-Giacomi, Enrico | es_ES |
dc.contributor.author | Hernández-García, Emilio | es_ES |
dc.contributor.author | Guijarro, Beatriz | es_ES |
dc.contributor.author | Massutí, Enric | es_ES |
dc.contributor.author | Alemany, Francesc | es_ES |
dc.contributor.author | Jadaud, Angelique | es_ES |
dc.contributor.author | Pérez, José Luis | es_ES |
dc.contributor.author | Reglero, Patricia | es_ES |
dc.date.accessioned | 2019-08-30T07:20:58Z | - |
dc.date.available | 2019-08-30T07:20:58Z | - |
dc.date.issued | 2019-07 | - |
dc.identifier.citation | Ecological Applications 29(5): e01913 (2019) | es_ES |
dc.identifier.issn | 1051-0761 | - |
dc.identifier.uri | http://hdl.handle.net/10261/189503 | - |
dc.description.abstract | 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 recruitment variability, that is much larger than the one explained by spawning stock biomass alone, supporting an increase of consideration of connectivity processes into stocks assessment. By acknowledging the structural and ecological complexity of marine populations, this study provides the scientific basis to link spatial management and temporal assessment within large marine metapopulations. Our results suggest that fisheries management could be improved by combining information of physical oceanography (from observing systems and operational models), opening new opportunities such as the development of short‐term projections and dynamic spatial management. | es_ES |
dc.description.sponsorship | M. Hidalgo acknowledges support of two contracts funded by the Spanish national program “Ramon y Cajal” (RYC‐2015‐18646) and by the regional government of the Balearic Islands, the later co‐funded by the European Social Fund 2014‐2020. V. Rossi acknowledges support of a post‐doctoral ‘Juan de la Cierva Incorporacion’ fellowship (IJCI‐2014‐22343) provided by the Spanish MICINN and a networking grant through the HYDROGENCONNECT project funded by the French program MISTRALS ENVI‐Med. E. Ser‐Giacomi thanks French program “Investissements d'Avenir” (ANR‐10‐LABX‐54 MEMOLIFE and ANR‐11‐IDEX‐0001‐02 PSL Research University). This work was also supported by the Spanish National projects LAOP (CTM2015‐66407‐P) P. Monroy and E. Hernandez‐Garcia and CLIFISH (CTM2015‐66400‐C3‐1‐R) and to M. Hidalgo, B. Guijarro, and E. Massuti (AEI/FEDER, EU). P. Reglero and M. Hidalgo acknowledge funding of the H2020 PANDORA project (Nr. 773713). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Ecological Society of America | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/RYC-2015-18646 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/IJCI-2014-22343 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CTM2015-66407-P | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/773713 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/CTM2015-66400-C3-1-R | es_ES |
dc.relation.isversionof | Publisher's version | es_ES |
dc.rights | openAccess | es_ES |
dc.subject | Ecosystem‐based management | es_ES |
dc.subject | Fish recruitment | es_ES |
dc.subject | Fisheries conservation | es_ES |
dc.subject | Hydroclimate variability | es_ES |
dc.subject | Metapopulations | es_ES |
dc.subject | Ocean connectivity | es_ES |
dc.subject | Self‐recruitment | es_ES |
dc.title | Accounting for ocean connectivity and hydroclimate in fish recruitment fluctuations within transboundary metapopulations | es_ES |
dc.type | artículo | es_ES |
dc.identifier.doi | 10.1002/eap.1913 | - |
dc.description.peerreviewed | Peer reviewed | es_ES |
dc.relation.publisherversion | https://doi.org/10.1002/eap.1913 | es_ES |
dc.contributor.funder | Ministerio de Economía y Competitividad (España) | es_ES |
dc.contributor.funder | Govern de les Illes Balears | es_ES |
dc.contributor.funder | European Commission | es_ES |
dc.contributor.funder | Ministerio de Ciencia e Innovación (España) | es_ES |
dc.contributor.funder | Agence Nationale de la Recherche (France) | es_ES |
dc.relation.csic | Sí | es_ES |
oprm.item.hasRevision | no ko 0 false | * |
dc.identifier.funder | http://dx.doi.org/10.13039/501100001665 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100000780 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100004837 | es_ES |
dc.identifier.funder | http://dx.doi.org/10.13039/501100003329 | es_ES |
dc.type.coar | http://purl.org/coar/resource_type/c_6501 | es_ES |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.grantfulltext | open | - |
item.openairetype | artículo | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
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transboundary_metapopulations.pdf | 332,4 kB | Adobe PDF | Visualizar/Abrir |
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