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Delineation of ocean surface provinces over a complex marine domain (off SW Iberia): an objective abiotic-based approach

dc.contributor.authorKrug, Lilian
dc.contributor.authorPlatt, Trevor
dc.contributor.authorBarbosa, Ana B.
dc.date.accessioned2018-07-24T16:38:30Z
dc.date.available2018-07-24T16:38:30Z
dc.date.issued2018
dc.description.abstractincorporating its dynamic nature. The area off Southwest Iberian Peninsula (SWIP), located between temperate and subtropical waters, includes oceanic and coastal domains affected by atmospheric and ocean circulation patterns, as well as coastal processes. The objectives of this study were to delineate a dynamic abiotic-based partition of the heterogeneous surface SWIP area into environmental provinces (EPs), evaluating their spatio-temporal distribution and abiotic properties, as well as the biological relevance of the partition. An unsupervised classification was based on nearly 10 years (2002–2011) of satellite- and model-derived data representative of physical, chemical and optical surface environments. Twelve EPs (two coastal, two slope and eight oceanic) presented areal coverage varying along the annual cycle with patterns significantly related to phytoplankton abundance and productivity. Highly significant intra-annual variability in province-specific area coverage and distinctions in the abiotic properties distinguished EPs predominant during cold (autumn–winter) and warm (spring–summer) periods. Areal coverage and abiotic properties of EPs predominant during the cold period presented higher variability in comparison to warm period EPs. During the warm period, the signature of coastal upwelling was evident, particularly over the western slope and coastal EPs. Riverine discharge was also a relevant local control of abiotic properties over coastal EPs. Overall, the spatio-temporal coverage patterns of EPs and abiotic and biotic properties showed a good agreement with previous studies of the SWIP area, particularly along the oceanic and slope sectors. The combination of a broad dataset, derived from products available through operational oceanography programs, and objective unsupervised data classification methods, represented a suitable strategy for characterizing SWIP ocean surface environment. Direct applications of this partition include its use as support for designing sampling strategies, ocean modelling, interpreting environmental and biological patterns, and ecosystem-based management.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doihttps://doi.org/10.1016/j.rsma.2018.01.003pt_PT
dc.identifier.issn2352-4855
dc.identifier.otherAUT: ABA00694;
dc.identifier.urihttp://hdl.handle.net/10400.1/10757
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.subjectOcean surface partitionpt_PT
dc.subjectEnvironmental variabilitypt_PT
dc.subjectDynamic partitionpt_PT
dc.subjectEssential climate variablespt_PT
dc.subjectIberiapt_PT
dc.titleDelineation of ocean surface provinces over a complex marine domain (off SW Iberia): an objective abiotic-based approachpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FAAC-CLI%2F114512%2F2009/PT
oaire.citation.endPage96pt_PT
oaire.citation.startPage80pt_PT
oaire.citation.titleRegional Studies in Marine Sciencept_PT
oaire.citation.volume18pt_PT
oaire.fundingStream3599-PPCDT
person.familyNameKrug
person.familyNameBarbosa
person.givenNameLilian
person.givenNameAna
person.identifier.ciencia-id501F-2A75-BBD3
person.identifier.ciencia-idF514-2180-4CF8
person.identifier.orcid0000-0002-0066-7679
person.identifier.orcid0000-0002-7402-246X
person.identifier.scopus-author-id23479793500
person.identifier.scopus-author-id7103244778
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
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relation.isAuthorOfPublication5b72648c-41b5-46c0-9a7f-7fa2f514b973
relation.isAuthorOfPublication.latestForDiscoverye28133b9-1fff-4ce6-8a80-8aace4103fee
relation.isProjectOfPublication6c2f7d28-e073-433d-b091-3ef0020aa3c1
relation.isProjectOfPublication.latestForDiscovery6c2f7d28-e073-433d-b091-3ef0020aa3c1

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