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dc.contributor.authorCrezee, Bart
dc.contributor.authorDargie, Greta C.
dc.contributor.authorEwango, Corneille E.N.
dc.contributor.authorMitchard, Edward T.A.
dc.contributor.authorEmba B, Ovide
dc.contributor.authorKanyama T, Joseph
dc.contributor.authorBola, Pierre
dc.contributor.authorNdjango, Jean Bosco N.
dc.contributor.authorGirkin, Nicholas T.
dc.contributor.authorBocko, Yannick E.
dc.contributor.authorIfo, Suspense A.
dc.contributor.authorHubau, Wannes
dc.contributor.authorSeidensticker, Dirk
dc.contributor.authorBatumike, Rodrigue
dc.contributor.authorImani, Gérard
dc.contributor.authorCuní-Sanchez, Aida
dc.contributor.authorKiahtipes, Christopher A.
dc.contributor.authorLebamba, Judicaël
dc.contributor.authorWotzka, Hans Peter
dc.contributor.authorBean, Hollie
dc.contributor.authorBaker, Timothy R.
dc.contributor.authorBaird, Andy J.
dc.contributor.authorBoom, Arnoud
dc.contributor.authorMorris, Paul J.
dc.contributor.authorPage, Susan E.
dc.contributor.authorLawson, Ian T.
dc.contributor.authorLewis, Simon L.
dc.date.accessioned2023-01-21T00:38:32Z
dc.date.available2023-01-21T00:38:32Z
dc.date.issued2022-08-01
dc.identifier280926406
dc.identifier032840fd-dec5-44bb-8f15-0404af26c935
dc.identifier85134661306
dc.identifier000828452000001
dc.identifier.citationCrezee , B , Dargie , G C , Ewango , C E N , Mitchard , E T A , Emba B , O , Kanyama T , J , Bola , P , Ndjango , J B N , Girkin , N T , Bocko , Y E , Ifo , S A , Hubau , W , Seidensticker , D , Batumike , R , Imani , G , Cuní-Sanchez , A , Kiahtipes , C A , Lebamba , J , Wotzka , H P , Bean , H , Baker , T R , Baird , A J , Boom , A , Morris , P J , Page , S E , Lawson , I T & Lewis , S L 2022 , ' Mapping peat thickness and carbon stocks of the central Congo Basin using field data ' , Nature Geoscience , vol. 15 , pp. 639-644 . https://doi.org/10.1038/s41561-022-00966-7en
dc.identifier.issn1752-0894
dc.identifier.otherORCID: /0000-0002-3547-2425/work/117568810
dc.identifier.urihttps://hdl.handle.net/10023/26809
dc.descriptionFunding: The work was funded by a NERC Large Grant to S.L.L. (‘CongoPeat’, NE/R016860/1), a NERC Doctoral Training Partnership award to B.C. (‘SPHERES DTP’, NE/L002574/1) and a Greenpeace Fund award to S.L.L. JAXA, NASA, METI, USGS, ESA, OSFAC and WWF are acknowledged for collecting and/or processing remote-sensing data.en
dc.description.abstractThe world’s largest tropical peatland complex is found in the central Congo Basin. However, there is a lack of in situ measurements to understand the peatland’s distribution and the amount of carbon stored in it. So far, peat in this region has been sampled only in largely rain-fed interfluvial basins in the north of the Republic of the Congo. Here we present the first extensive field surveys of peat in the Democratic Republic of the Congo, which covers two-thirds of the estimated peatland area, including from previously undocumented river-influenced settings. We use field data from both countries to compute the first spatial models of peat thickness (mean 1.7 ± 0.9 m; maximum 5.6 m) and peat carbon density (mean 1,712 ± 634 MgC ha−1; maximum 3,970 MgC ha−1) for the central Congo Basin. We show that the peatland complex covers 167,600 km2, 36% of the world’s tropical peatland area, and that 29.0 PgC is stored below ground in peat across the region (95% confidence interval, 26.3–32.2 PgC). Our measurement-based constraints give high confidence of globally significant peat carbon stocks in the central Congo Basin, totalling approximately 28% of the world’s tropical peat carbon. Only 8% of this peat carbon lies within nationally protected areas, suggesting its vulnerability to future land-use change.
dc.format.extent23222308
dc.format.extent641589
dc.language.isoeng
dc.relation.ispartofNature Geoscienceen
dc.subjectGE Environmental Sciencesen
dc.subjectQE Geologyen
dc.subjectEarth and Planetary Sciences(all)en
dc.subjectDASen
dc.subjectSDG 15 - Life on Landen
dc.subjectACen
dc.subjectMCCen
dc.subject.lccGEen
dc.subject.lccQEen
dc.titleMapping peat thickness and carbon stocks of the central Congo Basin using field dataen
dc.typeJournal articleen
dc.contributor.sponsorNERCen
dc.contributor.institutionUniversity of St Andrews. School of Geography & Sustainable Developmenten
dc.contributor.institutionUniversity of St Andrews. Bell-Edwards Geographic Data Instituteen
dc.contributor.institutionUniversity of St Andrews. Environmental Change Research Groupen
dc.identifier.doihttps://doi.org/10.1038/s41561-022-00966-7
dc.description.statusPeer revieweden
dc.date.embargoedUntil2023-01-21
dc.identifier.grantnumberNE/R016860/1en


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