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dc.contributor.authorTrifonova, Neda
dc.contributor.authorKenny, Andrew
dc.contributor.authorMaxwell, David
dc.contributor.authorDuplisea, Daniel
dc.contributor.authorFernandes, Jose
dc.contributor.authorTucker, Allan
dc.date.accessioned2020-04-02T15:05:01Z
dc.date.available2020-04-02T15:05:01Z
dc.date.issued2015-11
dc.identifier.citationTrifonova , N , Kenny , A , Maxwell , D , Duplisea , D , Fernandes , J & Tucker , A 2015 , ' Spatio-temporal Bayesian network models with latent variables for revealing trophic dynamics and functional networks in fisheries ecology ' , Ecological Informatics , vol. 30 , pp. 142-158 . https://doi.org/10.1016/j.ecoinf.2015.10.003en
dc.identifier.issn1574-9541
dc.identifier.otherPURE: 157047739
dc.identifier.otherPURE UUID: 9f1b0555-e7f6-4745-b7a1-9b07146354e4
dc.identifier.otherScopus: 84944889934
dc.identifier.urihttps://hdl.handle.net/2164/13958
dc.descriptionWe would like to thank Johan Van Der Molen from CEFAS for providing the ERSEM model outputs, the ICES DATRAS database for the North Sea IBTS data and Historical Catch Statistics, ICES North Sea Integrated Assessment Working Group (WGINOSE) and the organisations which provide data for the ICES assessment process, in particular SAHFOS who have provided the North Sea plankton data, Chiara Franco for general advice and the Natural Environment Research Council, UK (NE/J01642X/1) who has provided the funding of this research. We gratefully acknowledge support from the European Commission (OCEAN-CERTAIN, FP7-ENV-2013-6.1-1; no: 603773) for David Maxwell and support from CEFAS for Andrew Kenny and David Maxwell.en
dc.format.extent17
dc.language.isoeng
dc.relation.ispartofEcological Informaticsen
dc.rightsUnder a Creative Commons license https://creativecommons.org/licenses/by/4.0/en
dc.subjectSDG 14 - Life Below Wateren
dc.subjectBayesian networken
dc.subjectHidden variableen
dc.subjectSpatial autocorrectionen
dc.subjectBiomass predictionen
dc.subjectFunctional networken
dc.subjectTrophic interactionsen
dc.subjectMarine ecologyen
dc.subjectGC Oceanographyen
dc.subjectGE Environmental Sciencesen
dc.subjectNatural Environment Research Council (NERC)en
dc.subjectNE/J01642X/1en
dc.subjectEuropean Commissionen
dc.subjectOCEAN-CERTAIN, FP7-ENV-2013-6.1-1; no: 603773en
dc.subject.lccGCen
dc.subject.lccGEen
dc.titleSpatio-temporal Bayesian network models with latent variables for revealing trophic dynamics and functional networks in fisheries ecologyen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1016/j.ecoinf.2015.10.003
dc.identifier.vol30en


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