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Management strategy evaluation operating model conditioning: a swordfish case study

dc.contributor.authorMosqueira, Iago
dc.contributor.authorFu, Dan
dc.contributor.authorCoelho, Rui
dc.contributor.authorRosa, Daniela
dc.date.accessioned2024-07-22T11:04:21Z
dc.date.available2024-07-22T11:04:21Z
dc.date.issued2024-06-23
dc.description.abstractEvaluation of fish stock status is a key step for fisheries management. Tuna Regional Fisheries Management Organizations (t-RFMOs) are moving towards management strategy evaluation (MSE), a process that combines science and policy and depends on technical aspects, developed by scientists, designed to meet management objectives established by managers and other stakeholders. In the Indian Ocean, the current management advice for swordfish (Xiphias gladius) is based on an ensemble of 24 models considering four areas of uncertainty about the stock dynamics. There is an ongoing MSE process for swordfish, and this paper describes the methodology being applied for the conditioning of the operating model (OM), including model selection and validation. In the MSE, nine sources of uncertainty were considered, each being characterized by 2-3 levels. A partial factorial design was employed to reduce the number of models from a full factorial design to those needed to encompass the overall uncertainty. A selection and validation process was carried out, filtering models that converged, showed good predictive skills, and provided plausible estimates. Overall, the estimated spawning stock biomass (SSB) relative to SSB at maximum sustainable yield (MSY), and fishing mortality (F) relative to F-MSY encompasses the estimates of the stock assessment ensemble at the most optimist area of the distribution. The MSE for swordfish is an ongoing process that is expected to provide more robust management advice in the future. Further developments to the OM can still occur, but the methods presented herein can be applied to this, or other species, MSE processes.eng
dc.identifier.doi10.1007/s11160-024-09868-w
dc.identifier.eissn1573-5184
dc.identifier.issn0960-3166
dc.identifier.urihttp://hdl.handle.net/10400.1/25687
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer Science and Business Media LLC
dc.relationSustainable fisheries management of swordfish Xiphias gladius in the Atlantic and Indian Oceans: biology, population dynamics, stock structure, habitat use, and evaluation of alternative management options.
dc.relationAlgarve Centre for Marine Sciences
dc.relationAlgarve Centre for Marine Sciences
dc.relationCentre for Marine and Environmental Research
dc.relationLA/P/0101/2020
dc.relation.ispartofReviews in Fish Biology and Fisheries
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectDiagnostics
dc.subject· Model validation
dc.subjectFiltering
dc.subjectt-RFMO
dc.subjectXiphias gladius
dc.subjectIndian ocean
dc.titleManagement strategy evaluation operating model conditioning: a swordfish case studyeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleSustainable fisheries management of swordfish Xiphias gladius in the Atlantic and Indian Oceans: biology, population dynamics, stock structure, habitat use, and evaluation of alternative management options.
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardTitleCentre for Marine and Environmental Research
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F136074%2F2018/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04326%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04326%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0101%2F2020/PT
oaire.citation.titleReviews in Fish Biology and Fisheries
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCoelho
person.familyNameRosa
person.givenNameRui
person.givenNameDaniela
person.identifier134638
person.identifier.ciencia-idDC1A-20B7-EAC0
person.identifier.orcid0000-0003-3813-5157
person.identifier.orcid0000-0001-7156-7408
person.identifier.ridC-1163-2008
person.identifier.scopus-author-id56257111100
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
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