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dc.contributor.authorSmeaton, Craig
dc.contributor.authorBurden, Annette
dc.contributor.authorRuranska, Paulina
dc.contributor.authorLadd, Cai
dc.contributor.authorGarbutt, Angus
dc.contributor.authorJones, Laurence
dc.contributor.authorMcMahon, Lucy
dc.contributor.authorMiller, Lucy C.
dc.contributor.authorSkov, Martin W.
dc.contributor.authorAustin, William
dc.date.accessioned2022-08-11T09:30:15Z
dc.date.available2022-08-11T09:30:15Z
dc.date.issued2022-08-11
dc.identifier280548889
dc.identifierca4b93b7-2d07-48b6-b5b0-ca9e00c60dca
dc.identifier85136856483
dc.identifier000844365400001
dc.identifier.citationSmeaton , C , Burden , A , Ruranska , P , Ladd , C , Garbutt , A , Jones , L , McMahon , L , Miller , L C , Skov , M W & Austin , W 2022 , ' Using citizen science to estimate surficial soil Blue Carbon stocks in Great British saltmarshes ' , Frontiers in Marine Science , vol. 9 , 959459 . https://doi.org/10.3389/fmars.2022.959459en
dc.identifier.issn2296-7745
dc.identifier.otherORCID: /0000-0003-4535-2555/work/117211053
dc.identifier.urihttps://hdl.handle.net/10023/25819
dc.descriptionFunding: This research was finically supported by the Natural Environment Research Council funded Carbon Storage in Intertidal Environments (C-SIDE) project (grant NE/R010846/1) with additional support from the Scottish Blue Carbon Forum.en
dc.description.abstractA new saltmarsh soil dataset comprising of geochemical and physical property data from 752 soil samples collected through a sampling program supported by citizen scientists has been brought together with existing data to make the first national estimates of the surficial (top 10 cm) soil OC stock for Great British (GB) saltmarshes. To allow the inclusion of secondary data in the soil stock estimate a new bespoke organic matter to organic carbon conversion for GB saltmarsh soil was developed allowing organic matter data measured using loss-on-ignition to be convert to organic carbon content. The total GB surficial soil OC stock is 2.320 ± 0.470 Mt; English saltmarshes hold 1.601 ± 0.426 Mt OC, Scottish saltmarshes hold 0.368 ± 0.091 Mt OC, and Welsh saltmarshes hold 0.351 ± 0.082 Mt OC. The stocks were calculated within a Markov Chain Monte Carlo framework allowing robust uncertainty estimates to be derived for the first time. Spatial mapping tools are available to accompany these stock estimates at individual saltmarsh habitats throughout GB. This data will aid in the protection and management of saltmarshes and represents the first steps towards the inclusion of saltmarsh OC in the national inventory accounting of blue carbon ecosystems.
dc.format.extent16
dc.format.extent35356415
dc.language.isoeng
dc.relation.ispartofFrontiers in Marine Scienceen
dc.subjectSaltmarshen
dc.subjectCarbonen
dc.subjectVegetationen
dc.subjectCoastalen
dc.subjectSoilen
dc.subjectWetlanden
dc.subjectScotlanden
dc.subjectEnglanden
dc.subjectWalesen
dc.subjectOrganic matteren
dc.subjectCitizen scienceen
dc.subjectSpatial mappingen
dc.subjectGreat Britainen
dc.subjectGE Environmental Sciencesen
dc.subjectQE Geologyen
dc.subjectDASen
dc.subject.lccGEen
dc.subject.lccQEen
dc.titleUsing citizen science to estimate surficial soil Blue Carbon stocks in Great British saltmarshesen
dc.typeJournal articleen
dc.contributor.sponsorNERCen
dc.contributor.institutionUniversity of St Andrews. School of Geography & Sustainable Developmenten
dc.contributor.institutionUniversity of St Andrews. Environmental Change Research Groupen
dc.contributor.institutionUniversity of St Andrews. Bell-Edwards Geographic Data Instituteen
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. Coastal Resources Management Groupen
dc.contributor.institutionUniversity of St Andrews. Marine Alliance for Science & Technology Scotlanden
dc.contributor.institutionUniversity of St Andrews. St Andrews Sustainability Instituteen
dc.identifier.doi10.3389/fmars.2022.959459
dc.description.statusPeer revieweden
dc.identifier.urlhttps://www.frontiersin.org/articles/10.3389/fmars.2022.959459/abstracten
dc.identifier.grantnumberNE/R010846/1en


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