English   español  
Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/211276
Share/Impact:
Statistics
logo share SHARE logo core CORE   Add this article to your Mendeley library MendeleyBASE

Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE
Exportar a otros formatos:

DC FieldValueLanguage
dc.contributor.authorPennino, Maria Grazia-
dc.contributor.authorBevilacqua, Ana Helena-
dc.contributor.authorTorres, María Ángeles-
dc.contributor.authorBellido, José M.-
dc.contributor.authorSolé, Jordi-
dc.contributor.authorSteenbeek, Jeroen-
dc.contributor.authorColl, Marta-
dc.date.accessioned2020-05-13T11:21:28Z-
dc.date.available2020-05-13T11:21:28Z-
dc.date.issued2020-06-
dc.identifierissn: 0308-597X-
dc.identifiere-issn: 1872-9460-
dc.identifier.citationMarine Policy 116: 103703 (2020)-
dc.identifier.otherCEX2019-000928-S-
dc.identifier.urihttp://hdl.handle.net/10261/211276-
dc.description12 pages, 6 figures, 6 tables, 2 appendixes, supplementary data https://doi.org/10.1016/j.marpol.2019.103703-
dc.description.abstractDiscarding is one of the most important topics in fisheries management, both for economic and ecological reasons. The European Union has included, through the current EU Common Fisheries Policy (CFP) Regulation, a discard ban with a quite controversial instrument: to enforce the landing of unwanted catch as a measure to promote their reduction. This management decision may condition the future of the fishing exploitation in European Sea. Within this context, both stakeholders and policy makers are now claiming for more effective tools that can be used to support the decision-making framework. In this study, we propose a simulation-based approach combining hierarchical Bayesian Spatial Models (H-BSMs) with the spatial-temporal module of Ecopath with Ecosim (EwE) approach, Ecospace, in the North Western Mediterranean Sea. In particular, we firstly assessed high-density discard areas using H-BSMs with fisheries and environmental data, and secondly, we simulated potential management options to identify the trade-offs of the discard ban application within these areas using EwE. We argue that coupling novel methods, as the ones used in this study, could be a decisive step to identify the best management action among a set of different scenarios within the context of the discard ban application in European Seas-
dc.description.sponsorshipMechanisms towards Healthy and Sustainable EU Fisheries”, cofounded under the LIFE + Environmental Program of the European Union. This study is a contribution to the PELWEB project (ES-PN-2017-CTM2017-88939-R, Spanish National Plan). MC and JS acknowledge financial support from the European Union's Horizon research program grant agreement No 689518 for the MERCES project. MAT has received funding by the European Commission's Horizon 2020 Research and Innovation Programme under Grant Agreement No. 634495 for the MINOUW project. [...] Collection of the fishing data used in this paper was funded by the European Union through the European Maritime and Fisheries Fund (EMFF) within the National Program of collection, management and use of data in the fisheries sector and support for scientific advice regarding the Common Fisheries Policy-
dc.description.sponsorshipWith the funding support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), of the Spanish Research Agency (AEI)-
dc.languageeng-
dc.publisherElsevier-
dc.relationMICIU/ICTI2017-2020/ES-PN-2017-CTM2017-88939-R-
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/689518-
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/634495-
dc.rightsopenAccess-
dc.subjectBayesian model-
dc.subjectDiscards-
dc.subjectEcospace-
dc.subjectFood web model-
dc.subjectLanding obligation-
dc.subjectMediterranean sea-
dc.subjectSpatial ecology-
dc.titleDiscard ban: A simulation-based approach combining hierarchical Bayesian and food web spatial models-
dc.typeartículo-
dc.identifier.doi10.1016/j.marpol.2019.103703-
dc.relation.publisherversionhttps://doi.org/10.1016/j.marpol.2019.103703-
dc.date.updated2020-05-13T11:21:28Z-
dc.rights.licensehttps://www.elsevier.com/about/policies/sharing-
dc.contributor.funderEuropean Commission-
dc.contributor.funderMinisterio de Ciencia, Innovación y Universidades (España)-
dc.contributor.funderAgencia Estatal de Investigación (España)-
dc.relation.csic-
dc.identifier.funderhttp://dx.doi.org/10.13039/501100000780es_ES
dc.identifier.funderhttp://dx.doi.org/10.13039/501100011033es_ES
Appears in Collections:(ICM) Artículos
Files in This Item:
File Description SizeFormat 
Pennino_et_al_2020_preprint.pdf1,14 MBAdobe PDFThumbnail
View/Open
Show simple item record
 


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.