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Title

Discard ban: A simulation-based approach combining hierarchical Bayesian and food web spatial models

AuthorsPennino, Maria Grazia; Bevilacqua, Ana Helena; Torres, María Ángeles; Bellido, José M.; Solé, Jordi ; Steenbeek, Jeroen ; Coll, Marta
KeywordsBayesian model
Discards
Ecospace
Food web model
Landing obligation
Mediterranean sea
Spatial ecology
Issue DateJun-2020
PublisherElsevier
CitationMarine Policy 116: 103703 (2020)
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
Description12 pages, 6 figures, 6 tables, 2 appendixes, supplementary data https://doi.org/10.1016/j.marpol.2019.103703
Publisher version (URL)https://doi.org/10.1016/j.marpol.2019.103703
URIhttp://hdl.handle.net/10261/211276
Identifiersdoi: 10.1016/j.marpol.2019.103703
issn: 0308-597X
e-issn: 1872-9460
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