Por favor, use este identificador para citar o enlazar este ítem: http://dspace.azti.es/handle/24689/1202
Ficheros en este ítem:
No hay ficheros asociados a este ítem.
Registro completo de metadatos
Campo DC Valor Lengua/Idioma
dc.contributor.authorGarcia, Dorleta
dc.contributor.authorArostegui, Inmaculada
dc.contributor.authorPrellezo, Raul
dc.date.accessioned2022-01-04T11:31:10Z-
dc.date.available2022-01-04T11:31:10Z-
dc.date.issued2021
dc.identifierWOS:000713803100022
dc.identifier.citationICES JOURNAL OF MARINE SCIENCE, 2021, 78, 2562-2578
dc.identifier.issn1054-3139
dc.identifier.urihttp://dspace.azti.es/handle/24689/1202-
dc.description.abstractSimulation models are used extensively to evaluate the performance of fisheries management strategies, though they must be validated to ensure that they accurately represent the real system. One of the quantitative methods available to advance in the process of validating simulation models is global sensitivity analysis (GSA). However, its use in fisheries management has been very limited. When GSA is applied to management strategy evaluation implementations, it can also help manage available resources efficiently with respect to uncertainty in the management process and the conditioning of simulation models. Mixed-fisheries management plans were recently implemented for demersal fisheries in the Northeast Atlantic, which were evaluated previously using complex bioeconomic models. Here, we applied GSA to the model used in Iberian waters, employing an efficient model design to introduce uncertainty in every single input factor. While most biological factors contributed significantly to the variance of results, only few economic factors did. Moreover, we found that increasing accuracy in the stock assessment process would mainly impact management advice and that only the management of target stocks had a real impact on the system. This highlights the importance of properly managing hake (Merluccius merluccius), which is currently managed using an empirical harvest control rule.
dc.language.isoEnglish
dc.publisherOXFORD UNIV PRESS
dc.subjectbioeconomic modelling
dc.subjectdata-limited stocks
dc.subjectfisheries management
dc.subjectglobal sensitivity analysis
dc.subjectsimulation
dc.subjectuncertainty conditioning
dc.subjectGLOBAL SENSITIVITY-ANALYSIS
dc.subjectHARVEST STRATEGIES
dc.subjectSTOCK ASSESSMENT
dc.subjectREFERENCE POINTS
dc.subjectMODELS
dc.subjectIMPACT
dc.subjectVALIDATION
dc.subjectDYNAMICS
dc.subjectFISH
dc.subjectBAY
dc.titleTo be or not to be a target: that is the question to manage mixed fisheries
dc.typeArticle
dc.identifier.journalICES JOURNAL OF MARINE SCIENCE
dc.format.page2562-2578
dc.format.volume78
dc.contributor.funderBasque Government (Agriculture and Fisheries Department) (FLBEIA project) [227390, 289257, 00010IRB2019-33]
dc.contributor.funderBasque Government (Agriculture and Fisheries Department) (IMPACPES project) [227390, 289257, 00010IRB2019-33]
dc.contributor.funderBasque Government (Agriculture and Fisheries Department) (MEVA project) [227390, 289257, 00010-IRB2019-33]
dc.contributor.funderSpanish Ministry of the Economy and Competitiveness MINECOSpanish Government [MTM2016-74931-P, SEV-2017-0718]
dc.contributor.funderFEDEREuropean Commission [MTM2016-74931-P, SEV-2017-0718]
dc.contributor.funderBasque Government through the BERC 2018-2021 programmeBasque Government
dc.contributor.funderElkartek project 3KIA [KK-2020/00049]
dc.contributor.funderMATHMODE Consolidated Research Group [IT1294-19]
dc.identifier.e-issn1095-9289
dc.identifier.doi10.1093/icesjms/fsab128
Aparece en las tipos de publicación: Artículos científicos



Los ítems de DSpace están protegidos por copyright, con todos los derechos reservados, a menos que se indique lo contrario.