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dc.contributor.authorDuarte de Paula Costa, Michelies_ES
dc.contributor.authorLovelock, Catherine E.es_ES
dc.contributor.authorWaltham, Nathan J.es_ES
dc.contributor.authorYoung, Maryes_ES
dc.contributor.authorAdame, María Fernandaes_ES
dc.contributor.authorBryant, Catherine V.es_ES
dc.contributor.authorButler, Dones_ES
dc.contributor.authorGreen, Davides_ES
dc.contributor.authorRasheed, Michael A.es_ES
dc.contributor.authorSalinas, Cristianes_ES
dc.contributor.authorSerrano, Oscares_ES
dc.contributor.authorYork, Paul H.es_ES
dc.contributor.authorWhitt, Ashley A.es_ES
dc.contributor.authorMacreadie, Peter I.es_ES
dc.date.accessioned2022-01-21T10:02:00Z-
dc.date.available2022-01-21T10:02:00Z-
dc.date.issued2022-
dc.identifier.citationGlobal Change Biology 27 : 3257-3271 (2021)es_ES
dc.identifier.issn1354-1013-
dc.identifier.issn1365-2486-
dc.identifier.urihttp://hdl.handle.net/10261/258407-
dc.descriptionEste artículo contiene 15 páginas, 6 figuras, 1 tabla.es_ES
dc.description.abstractAustralia's Great Barrier Reef (GBR) catchments include some of the world's most intact coastal wetlands comprising diverse mangrove, seagrass and tidal marsh eco systems. Although these ecosystems are highly efficient at storing carbon in marine sediments, their soil organic carbon (SOC) stocks and the potential changes resulting from climate impacts, including sea level rise are not well understood. For the first time, we estimated SOC stocks and their drivers within the range of coastal wet lands of GBR catchments using boosted regression trees (i.e. a machine learning ap proach and ensemble method for modelling the relationship between response and explanatory variables) and identified the potential changes in future stocks due to sea level rise. We found levels of SOC stocks of mangrove and seagrass meadows have different drivers, with climatic variables such as temperature, rainfall and solar radiation, showing significant contributions in accounting for variation in SOC stocks in mangroves. In contrast, soil type accounted for most of the variability in seagrass meadows. Total SOC stock in the GBR catchments, including mangroves, seagrass meadows and tidal marshes, is approximately 137 Tg C, which represents 9%–13% of Australia's total SOC stock while encompassing only 4%–6% of the total extent of Australian coastal wetlands. In a global context, this could represent 0.5%–1.4% of global SOC stock. Our study suggests that landward migration due to projected sea level rise has the potential to enhance carbon accumulation with total carbon gains between 0.16 and 0.46 Tg C and provides an opportunity for future restoration to enhance blue carbon.es_ES
dc.description.sponsorshipMR, PY, PIM were supported through ARC Linkage grant LP160100492, and PIM and CEL were supported through ARC Linkage grant LP160100242. NJW is funded through Australian Government National Environment Science Program (Tropical Water Quality Hub). MFA was funded through an Advance Queensland Industry Research Fellowship, Queensland Government. CS was funded by ECU Higher Degree by Research Scholarship.es_ES
dc.language.isoenges_ES
dc.publisherWiley-Blackwelles_ES
dc.rightsclosedAccesses_ES
dc.subjectSoil carbon stockses_ES
dc.subjectTidal marsheses_ES
dc.subjectBlue carbones_ES
dc.subjectClimate changees_ES
dc.subjectCoastal wetlandses_ES
dc.subjectMangroveses_ES
dc.subjectSeagrass meadowses_ES
dc.titleCurrent and future carbon stocks in coastal wetlands within the Great Barrier Reef catchmentses_ES
dc.typeartículoes_ES
dc.identifier.doi10.1111/gcb.15642-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttps://doi.org/10.1111/gcb.15642es_ES
dc.relation.csices_ES
oprm.item.hasRevisionno ko 0 false*
dc.subject.urihttp://metadata.un.org/sdg/13es_ES
dc.type.coarhttp://purl.org/coar/resource_type/c_6501es_ES
dc.subject.sdgTake urgent action to combat climate change and its impactses_ES
item.openairetypeartículo-
item.grantfulltextnone-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextNo Fulltext-
item.languageiso639-1en-
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