A map of African humid tropical forest aboveground biomass derived from management inventories

dc.contributor.authorPloton, Pierre
dc.contributor.authorMortier, Frederic
dc.contributor.authorBarbier, Nicolas
dc.contributor.authorCornu, Guillaume
dc.contributor.authorRejou-Mechain, Maxime
dc.contributor.authorRossi, Vivien
dc.contributor.authorAlonso, Alfonso
dc.contributor.authorBastin, Jean-Francois
dc.contributor.authorBayol, Nicolas
dc.contributor.authorBenedet, Fabrice
dc.contributor.authorBissiengou, Pulcherie
dc.contributor.authorChuyong, Georges
dc.contributor.authorDemarquez, Benoit
dc.contributor.authorDoucet, Jean-Louis
dc.contributor.authorDroissart, Vincent
dc.contributor.authorKamdem, Narcisse Guy
dc.contributor.authorKenfack, David
dc.contributor.authorMemiaghe, Herve
dc.contributor.authorMoses, Libalah
dc.contributor.authorSonke, Bonaventure
dc.contributor.authorTexier, Nicolas
dc.contributor.authorThomas, Duncan
dc.contributor.authorZebaze, Donatien
dc.contributor.authorPelissier, Raphael
dc.contributor.authorGourlet-Fleury, Sylvie
dc.date.accessioned2020-08-14T02:03:00Z
dc.date.available2020-08-14T02:03:00Z
dc.date.issued2020
dc.description.abstractForest biomass is key in Earth carbon cycle and climate system, and thus under intense scrutiny in the context of international climate change mitigation initiatives (e.g. REDD+). In tropical forests, the spatial distribution of aboveground biomass (AGB) remains, however, highly uncertain. There is increasing recognition that progress is strongly limited by the lack of field observations over large and remote areas. Here, we introduce the Congo basin Forests AGB (CoFor-AGB) dataset that contains AGB estimations and associated uncertainty for 59,857 1-km pixels aggregated from nearly 100,000 ha ofin situforest management inventories for the 2000 - early 2010s period in five central African countries. A comprehensive error propagation scheme suggests that the uncertainty on AGB estimations derived from c. 0.5-ha inventory plots (8.6-15.0%) is only moderately higher than the error obtained from scientific sampling plots (8.3%). CoFor-AGB provides the first large scale view of forest AGB spatial variation from field data in central Africa, the second largest continuous tropical forest domain of the world.
dc.format.extent221–221
dc.identifier2052-4463
dc.identifier.citationPloton, Pierre, Mortier, Frederic, Barbier, Nicolas, Cornu, Guillaume, Rejou-Mechain, Maxime, Rossi, Vivien, Alonso, Alfonso, Bastin, Jean-Francois, Bayol, Nicolas, Benedet, Fabrice, Bissiengou, Pulcherie, Chuyong, Georges, Demarquez, Benoit, Doucet, Jean-Louis, Droissart, Vincent, Kamdem, Narcisse Guy, Kenfack, David, Memiaghe, Herve, Moses, Libalah, SonkE, Bonaventure, Texier, Nicolas, Thomas, Duncan, Zebaze, Donatien, Pelissier, Raphael, and Gourlet-Fleury, Sylvie. 2020. "<a href="https://repository.si.edu/handle/10088/106738">A map of African humid tropical forest aboveground biomass derived from management inventories</a>." <em>Scientific Data</em>, 7, (1) 221–221. <a href="https://doi.org/10.1038/s41597-020-0561-0">https://doi.org/10.1038/s41597-020-0561-0</a>.
dc.identifier.issn2052-4463
dc.identifier.urihttps://hdl.handle.net/10088/106738
dc.publisherNature Publishing Group
dc.relation.ispartofScientific Data 7 (1)
dc.titleA map of African humid tropical forest aboveground biomass derived from management inventories
dc.typearticle
sro.description.unitNZP
sro.description.unitSTRI
sro.identifier.doi10.1038/s41597-020-0561-0
sro.identifier.itemID156520
sro.identifier.refworksID70514
sro.identifier.urlhttps://repository.si.edu/handle/10088/106738
sro.publicationPlaceLondon, England

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