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Predicting ecosystem components in the Gulf of Mexico and their responses to climate variability with a dynamic Bayesian network model

dc.contributor.authorTrifonova, Neda
dc.contributor.authorKarnauskas, Mandy
dc.contributor.authorKelble, Christopher
dc.date.accessioned2020-03-26T09:50:01Z
dc.date.available2020-03-26T09:50:01Z
dc.date.issued2019-01-23
dc.identifier157047631
dc.identifier06bae3f2-f13a-45b8-9900-4a2437c80b9e
dc.identifier85060402637
dc.identifier.citationTrifonova , N , Karnauskas , M & Kelble , C 2019 , ' Predicting ecosystem components in the Gulf of Mexico and their responses to climate variability with a dynamic Bayesian network model ' , PloS ONE , vol. 14 , no. 1 , e0209257 . https://doi.org/10.1371/journal.pone.0209257en
dc.identifier.issn1932-6203
dc.identifier.urihttps://hdl.handle.net/2164/13918
dc.descriptionFunding: This research was carried out in part under the auspices of the Cooperative Institute for Marine and Atmospheric Studies (CIMAS), a Cooperative Institute of the University of Miami and the National Oceanic and Atmospheric Administration, cooperative agreement #NA10OAR4320143. This paper is NOAA IEA Program contribution #2018_4. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Acknowledgments This research was carried out in part under the auspices of the Cooperative Institute for Marine and Atmospheric Studies (CIMAS), a Cooperative Institute of the University of Miami and the National Oceanic and Atmospheric Administration, cooperative agreement #NA10OAR4320143. This paper is a result of research, supported by the National Oceanic and Atmospheric Administration’s Integrated Ecosystem Assessment (NOAA IEA) Program. This paper is NOAA IEA Program contribution #2018_4.en
dc.format.extent23
dc.format.extent1772436
dc.language.isoeng
dc.relation.ispartofPloS ONEen
dc.subjectSDG 14 - Life Below Wateren
dc.subjectQH301 Biologyen
dc.subjectSupplementary Dataen
dc.subject.lccQH301en
dc.titlePredicting ecosystem components in the Gulf of Mexico and their responses to climate variability with a dynamic Bayesian network modelen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Biological Sciencesen
dc.description.statusPeer revieweden
dc.identifier.doi10.1371/journal.pone.0209257
dc.identifier.urlhttp://www.aoml.noaa.gov/ocd/ocdweb/ESR_GOMIEA/en
dc.identifier.vol14en
dc.identifier.iss1en


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