Please use this identifier to cite or link to this item: http://hdl.handle.net/10071/14220
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dc.contributor.authorFerreira, M. A. M.-
dc.contributor.authorFilipe, J. A.-
dc.contributor.authorCoelho, M.-
dc.date.accessioned2017-08-01T14:09:40Z-
dc.date.available2017-08-01T14:09:40Z-
dc.date.issued2017-
dc.identifier.issn2410-9738-
dc.identifier.urihttp://hdl.handle.net/10071/14220-
dc.description.abstractChaos Theory and nonlinear dynamic systems’ models huge importance is recognized beyond any kind of considerations in the most varied research fields. Chaos Theory contributes very significantly to the study of marine systems and fish stocks’ preservation. In this paper are presented clues to manage fisheries in view of chaos contextualization. Particularly, when applied in the situation of ecological systems, especially in the context of fisheries, highlights its recognition in the explanation of fishing phenomena.eng
dc.language.isoeng-
dc.publisherUniversum Research E-Center-
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147442/PT-
dc.relationUID/MULTI/0446/2013-
dc.rightsopenAccesspor
dc.subjectChaos Theoryeng
dc.subjectDynamical systemseng
dc.subjectComplex adaptive systemseng
dc.subjectFisherieseng
dc.subjectButterfly effecteng
dc.subjectDrop of honey effecteng
dc.titleChaos and complexity in the fisheries management contexteng
dc.typearticle-
dc.pagination64 - 76-
dc.publicationstatusPublicadopor
dc.peerreviewedyes-
dc.journalActa Scientiae et Intellectus-
dc.distributionInternacionalpor
dc.volume3-
dc.number1-
degois.publication.firstPage64-
degois.publication.lastPage76-
degois.publication.issue1-
degois.publication.titleChaos and complexity in the fisheries management contexteng
dc.date.updated2019-04-02T10:35:14Z-
dc.description.versioninfo:eu-repo/semantics/acceptedVersion-
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-31542-
Appears in Collections:BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica
ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica

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