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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampVal, João Bosco Ribeiro do-
dc.typeArtigopt_BR
dc.titleFishery management under poorly known dynamicspt_BR
dc.contributor.authordo Val, J. B. R.-
dc.contributor.authorGuillotreau, P.-
dc.contributor.authorVallee, T.-
dc.subjectPescariapt_BR
dc.subjectPescaria - Gestãopt_BR
dc.subject.otherlanguageFishingpt_BR
dc.subject.otherlanguageFishing - Managementpt_BR
dc.description.abstractAdapting fishing regulations in a highly uncertain environment remains a complex challenge for managers who have to deal with non-linear dynamics of fish population and harvest levels. In this research, a recent method of stochastic control is adapted to a general fishery management problem under multiples sources of uncertainty related to the dynamics of the fish population and the effect of fishing on its growth. The question is about adjusting permanently the management rule or to hold a fixed policy thus avoiding additional noise. The mathematical problem developed here, though oversimplified, represents an original approach to the fishery management issue inspired by the monetary policy challenge of a central bank (Brainard principle). It assumes that Control Variation Increases the level of Uncertainty (namely CVIU approach) under particular conditions, resulting in preferable inaction regions for managers. We specify these conditions to show that the management of a poorly known fishery is still possible by using a CVIU approachpt_BR
dc.relation.ispartofEuropean Journal of Operational Researchpt_BR
dc.publisher.cityAmsterdampt_BR
dc.publisher.countryPaíses Baixospt_BR
dc.publisherElsevierpt_BR
dc.date.issued2019-
dc.date.monthofcirculationNov.pt_BR
dc.language.isoengpt_BR
dc.description.volume279pt_BR
dc.description.issuenumber1pt_BR
dc.description.firstpage242pt_BR
dc.description.lastpage257pt_BR
dc.rightsFechadopt_BR
dc.sourceWOSpt_BR
dc.identifier.issn0377-2217pt_BR
dc.identifier.eissn1872-6860pt_BR
dc.identifier.doi10.1016/j.ejor.2019.05.016pt_BR
dc.identifier.urlhttps://www.sciencedirect.com/science/article/pii/S0377221719304205pt_BR
dc.date.available2020-03-27T16:13:39Z-
dc.date.accessioned2020-03-27T16:13:39Z-
dc.description.provenanceSubmitted by Cintia Oliveira de Moura (cintiaom@unicamp.br) on 2020-03-27T16:13:39Z No. of bitstreams: 0. Added 1 bitstream(s) on 2020-07-20T14:18:23Z : No. of bitstreams: 1 000474322900018.pdf: 2343198 bytes, checksum: 28661f96e9314a537e8602c77d414e01 (MD5)en
dc.description.provenanceMade available in DSpace on 2020-03-27T16:13:39Z (GMT). No. of bitstreams: 0 Previous issue date: 2019en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/337647-
dc.contributor.departmentDepartamento de Sistemas e Energiapt_BR
dc.contributor.unidadeFaculdade de Engenharia Elétrica e de Computaçãopt_BR
dc.subject.keywordControlpt_BR
dc.subject.keywordSystem dynamicspt_BR
dc.subject.keywordFishery managementpt_BR
dc.subject.keywordUncertaintypt_BR
dc.identifier.source000474322900018pt_BR
dc.creator.orcid0000-0003-1618-058Xpt_BR
dc.type.formArtigopt_BR
dc.description.sponsorNoteFrench research ANR program "CIGOEF"French National Research Agency (ANR) [ANR-17-CE32-0008]pt_BR
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