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Drivers and patterns of sediment organic carbon in European regional seas

datacite.subject.sdg14:Proteger a Vida Marinha
datacite.subject.sdg13:Ação ClimÔtica
datacite.subject.sdg15:Proteger a Vida Terrestre
dc.contributor.authorLĆønborg, Christian
dc.contributor.authorGraversen, Anna Elizabeth LĆøvgren
dc.contributor.authorAddamo, Anna Maria
dc.contributor.authorAssis, Jorge
dc.contributor.authorBurrows, Michael Timothy
dc.contributor.authorStewart, Eleanor
dc.contributor.authorLillis, Helen
dc.contributor.authorCostello, Mark John
dc.contributor.authorKrause‐Jensen, Dorte
dc.date.accessioned2026-08-27T12:01:07Z
dc.date.available2026-08-27T12:01:07Z
dc.date.issued2026-08
dc.description.abstractMapping organic carbon (OC) stores in marine sediments is a management priority to potentially minimize the anthropogenic release of organic carbon from the seabed. Sediment OC content shows high regional variability, shaped by a complex interplay of physical, chemical, biological and anthropogenic factors. In this study, we present an assessment of the drivers and patterns of sediment OC across European regional seas, with a particular focus on the role of large‐scale habitats, substratum characteristics, and environmental conditions. To investigate these relationships, we integrated data sets encompassing sediment OC, benthic habitats, sediment substrata and 11 environmental variables. Applying machine learning techniques, we identified wave exposure (estimated from wave fetch), light availability, seafloor geomorphic features, and maximum bottom water temperature as the most important environmental predictors of sediment OC content across European regional seas. While the model captured broad spatial patterns in sediment OC, it did not resolve local scale variability, making it better suited for regional assessments than for site‐specific predictions. Overall, the highest OC contents were found in sediments underlying vegetated habitats such as Posidonia oceanica and other seagrass meadows as well as in mud, and mixed sediment substrata. OC hotspots were generally located in inshore areas with low wave fetch and temperature; these include areas of the Baltic Sea, North Sea, Adriatic Sea, Barents Sea, and the Black Sea. Our data‐driven approach provides a robust foundation for identifying OC‐rich sediments, which are critical for conservation planning and assessing anthropogenic impacts on marine OC.eng
dc.identifier.doi10.1029/2026gb009100
dc.identifier.eissn1944-9224
dc.identifier.issn0886-6236
dc.identifier.urihttp://hdl.handle.net/10400.1/29343
dc.language.isoeng
dc.peerreviewedyes
dc.publisherAmerican Geophysical Union (AGU)
dc.relationAlgarve Centre for Marine Sciences
dc.relationCentre for Marine and Environmental Research
dc.relationClimate-informed prioritization of marine biodiversity hotspots to support the implementation of the post-2020 biodiversity framework
dc.relation.ispartofGlobal Biogeochemical Cycles
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleDrivers and patterns of sediment organic carbon in European regional seaseng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUIDP/04326/2020
oaire.awardNumberLA/P/0101/2020
oaire.awardNumber2022.00861.CEECIND/CP1729/CT0003
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardTitleCentre for Marine and Environmental Research
oaire.awardTitleClimate-informed prioritization of marine biodiversity hotspots to support the implementation of the post-2020 biodiversity framework
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04326%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0101%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND5ed/2022.00861.CEECIND%2FCP1729%2FCT0003/PT
oaire.citation.issue8
oaire.citation.startPagee2026GB009100
oaire.citation.titleGlobal Biogeochemical Cycles
oaire.citation.volume40
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamCEEC IND5ed
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameAssis
person.givenNameJorge
person.identifier.ciencia-id5C1D-05B6-29F7
person.identifier.orcid0000-0002-6624-4820
person.identifier.ridG-9688-2012
person.identifier.scopus-author-id53463298700
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublicationc794f76b-9001-4ac1-913a-bb0f3aab6ef5
relation.isAuthorOfPublication.latestForDiscoveryc794f76b-9001-4ac1-913a-bb0f3aab6ef5
relation.isProjectOfPublication15f91d45-e070-47d8-b6b8-efd4de31d9a8
relation.isProjectOfPublication794d4c77-c731-471e-bc96-5a41dcd3d872
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