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An application of two techniques for the analysis of short, multivariate non-stationary time-series of Mauritanian trawl survey data

dc.contributor.authorErzini, Karim
dc.contributor.authorInejih, C. A. O.
dc.contributor.authorStobberup, Kim A.
dc.date.accessioned2016-12-14T16:22:21Z
dc.date.available2016-12-14T16:22:21Z
dc.date.issued2005
dc.description.abstractMin/max autocorrelation factor analysis (MAFA) and dynamic factor analysis (DFA) are complementary techniques for analysing short (> 15-25 y), non-stationary, multivariate data sets. We illustrate the two techniques using catch rate (cpue) time-series (1982-2001) for 17 species caught during trawl surveys off Mauritania, with the NAO index, an upwelling index, sea surface temperature, and an index of fishing effort as explanatory variables. Both techniques gave coherent results, the most important common trend being a decrease in cpue during the latter half of the time-series, and the next important being an increase during the first half. A DFA model with SST and UPW as explanatory variables and two common trends gave good fits to most of the cpue time-series. (c) 2004 International Council for the Exploration of the Sea. Published by Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.icesjms.2004.12.009
dc.identifier.issn1054-3139
dc.identifier.otherAUT: KER00543;
dc.identifier.urihttp://hdl.handle.net/10400.1/8765
dc.language.isoeng
dc.peerreviewedyes
dc.publisherElsevier
dc.relation.isbasedonWOS:000228705900008
dc.titleAn application of two techniques for the analysis of short, multivariate non-stationary time-series of Mauritanian trawl survey data
dc.typejournal article
dspace.entity.typePublication
oaire.citation.conferencePlaceUNESCO, Intergovernmental Oceanog Commiss, Paris, France
oaire.citation.endPage359
oaire.citation.issue3
oaire.citation.startPage353
oaire.citation.titleIces Journal Of Marine Science
oaire.citation.volume62
person.familyNameErzini
person.givenNameKarim
person.identifier.ciencia-idD917-7133-341A
person.identifier.orcid0000-0002-1411-0126
person.identifier.ridM-5216-2013
person.identifier.scopus-author-id7004015948
rcaap.rightsrestrictedAccess
rcaap.typearticle
relation.isAuthorOfPublicatione20f0e2d-3085-4c37-9e98-260dc9faddea
relation.isAuthorOfPublication.latestForDiscoverye20f0e2d-3085-4c37-9e98-260dc9faddea

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