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dc.contributor.authorMitchard, ETA
dc.contributor.authorFeldpausch, T.R.
dc.contributor.authorBrienen, Roel J.W.
dc.contributor.authorLopez-Gonzalez, G
dc.contributor.authorMonteagudo Mendoza, Abel
dc.contributor.authorBaker, Tim
dc.contributor.authorLewis, Simon L.
dc.contributor.authorLloyd, J
dc.contributor.authorQuesada, CA
dc.contributor.authorGloor, M
dc.contributor.authorter Steege, H
dc.contributor.authorMeir, P
dc.contributor.authorAlvarez, E
dc.contributor.authorAraujo-Murakami, A
dc.contributor.authorAragao, Luiz
dc.contributor.authorArroyo, L
dc.contributor.authorAymard C., Gerardo A.
dc.contributor.authorBanki, Olaf
dc.contributor.authorBonal, D
dc.contributor.authorBrown, S
dc.contributor.authorBrown, FI
dc.contributor.authorCerón, CE
dc.contributor.authorChama Moscoso, V
dc.contributor.authorChave, J
dc.contributor.authorComiskey, JA
dc.contributor.authorCornejo Valverde, F
dc.contributor.authorCorrales Medina, M
dc.contributor.authorDa Costa, Lola
dc.contributor.authorCosta, Flavia R.C.
dc.contributor.authorDi Fiore, A
dc.contributor.authorDomingues, T.F.
dc.contributor.authorErwin, TL
dc.contributor.authorFrederickson, T
dc.contributor.authorHiguchi, N
dc.contributor.authorHonorio Coronado, EN
dc.contributor.authorKilleen, TJ
dc.contributor.authorLaurance, William F.
dc.contributor.authorLevis, C
dc.contributor.authorMagnusson, WE
dc.contributor.authorMarimon, BS
dc.contributor.authorMarimon-Junior, BH
dc.contributor.authorMendoza Polo, I
dc.contributor.authorMishra, P
dc.contributor.authorNascimento, MT
dc.contributor.authorNeill, D
dc.contributor.authorNúñez Vargas, P
dc.contributor.authorPalacios Cuenca, Walter
dc.contributor.authorParada, A
dc.contributor.authorPardo Molina, G
dc.contributor.authorPeña-Claros, M
dc.contributor.authorPitman, Nigel C.A.
dc.contributor.authorPeres, CA
dc.contributor.authorPoorter, L
dc.contributor.authorPrieto, A
dc.contributor.authorRamirez-Angulo, H
dc.contributor.authorRestrepo Correa, Z
dc.contributor.authorRoopsind, A
dc.contributor.authorRoucoux, KH
dc.contributor.authorRudas, A
dc.contributor.authorSalomão, RP
dc.contributor.authorSchietti, J
dc.contributor.authorSilveira, M
dc.contributor.authorde Souza, PF
dc.contributor.authorSteininger, Marc K.
dc.contributor.authorStropp, J
dc.contributor.authorTerborgh, J
dc.contributor.authorThomas, R
dc.contributor.authorToledo, M
dc.contributor.authorTorres-Lezama, A
dc.contributor.authorvan Andel, TR
dc.contributor.authorvan der Heijden, Geertje
dc.contributor.authorVieira, Ima Célia Guimarães
dc.contributor.authorVieira, S
dc.contributor.authorVilanova-Torre, E
dc.contributor.authorVos, VA
dc.contributor.authorWang, O
dc.contributor.authorZartman, CE
dc.contributor.authorMalhi, Y
dc.contributor.authorPhillips, OL
dc.date.accessioned2014-05-23T11:52:40Z
dc.date.issued2014-04-22
dc.description.abstractThe accurate mapping of forest carbon stocks is essential for understanding the global carbon cycle, for assessing emissions from deforestation, and for rational land-use planning. Remote sensing (RS) is currently the key tool for this purpose, but RS does not estimate vegetation biomass directly, and thus may miss significant spatial variations in forest structure. We test the stated accuracy of pantropical carbon maps using a large independent field dataset.en_GB
dc.description.sponsorshipGordon and Betty Moore Foundationen_GB
dc.description.sponsorshipEuropean Union's Seventh Framework Programmeen_GB
dc.description.sponsorshipERCen_GB
dc.description.sponsorshipNERCen_GB
dc.description.sponsorshipPRONEX -FAPEAM/CNPq.en_GB
dc.description.sponsorshipHidroveg FAPESP/FAPEAMen_GB
dc.description.sponsorshipUniversal/CNPq.en_GB
dc.description.sponsorshipINCT-CENBAMen_GB
dc.description.sponsorshipInvestissement d'Avenir grants of the French ANR.en_GB
dc.description.sponsorshipRoyal Society Fellowshipen_GB
dc.description.sponsorshipRoyal Society Wolfson Research Merit Awarden_GB
dc.identifier.citationVol. 23 (8), pp. 935–946
dc.identifier.doi10.1111/geb.12168
dc.identifier.grantnumber283080, 282664en_GB
dc.identifier.grantnumberNE/F005806/1, NE/D005590/1en_GB
dc.identifier.grantnumber1600/2006en_GB
dc.identifier.grantnumber473308/2009-6en_GB
dc.identifier.grantnumberANR-10-LABX-0025, ANR-10-LABX-0041en_GB
dc.identifier.grantnumberNE/I021217/1, NE/I021160/1en_GB
dc.identifier.urihttp://hdl.handle.net/10871/14901
dc.language.isoenen_GB
dc.publisherWileyen_GB
dc.relation.urlhttp://onlinelibrary.wiley.com/doi/10.1111/geb.12168/abstracten_GB
dc.rightsThis is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.en_GB
dc.titleMarkedly divergent estimates of amazon forest carbon density from ground plots and satellitesen_GB
dc.typeArticleen_GB
dc.date.available2014-05-23T11:52:40Z
dc.identifier.issn1466-822X
dc.description© 2014 The Authors. Global Ecology and Biogeography published by John Wiley & Sons Ltd.en_GB
dc.identifier.journalGlobal Ecology and Biogeographyen_GB


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