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Type: Artigo
Title: Markedly divergent estimates of Amazon forest carbon density from ground plots and satellites
Author: Mitchard, Edward T. A.
Feldpausch, Ted R.
Brienen, Roel J. W.
Lopez‐Gonzalez, Gabriela
Monteagudo, Abel
Baker, Timothy R.
Lewis, Simon L.
Lloyd, Jon
Quesada, Carlos A.
Gloor, Manuel
Steege, Hans ter
Meir, Patrick
Alvarez, Esteban
Araujo‐Murakami, Alejandro
Aragão, Luiz E. O. C.
Arroyo, Luzmila
Aymard, Gerardo
Banki, Olaf
Bonal, Damien
Brown, Sandra
Brown, Foster I.
Cerón, Carlos E.
Moscoso, Victor Chama
Chave, Jerome
Comiskey, James A.
Cornejo, Fernando
Medina, Massiel Corrales
Costa, Lola Da
Costa, Flavia R. C.
Di Fiore, Anthony
Domingues, Tomas F.
Erwin, Terry L.
Frederickson, Todd
Higuchi, Niro
Coronado, Euridice N. Honorio
Killeen, Tim J.
Laurance, William F.
Levis, Carolina
Magnusson, William E.
Marimon, Beatriz S.
Marimon Junior, Ben Hur
Polo, Irina Mendoza
Mishra, Piyush
Nascimento, Marcelo T.
Neill, David
Vargas, Mario P. Núñez
Palacios, Walter A.
Parada, Alexander
Molina, Guido Pardo
Peña‐Claros, Marielos
Pitman, Nigel
Peres, Carlos A.
Poorter, Lourens
Prieto, Adriana
Ramirez‐Angulo, Hirma
v, Zorayda Restrepo
Roopsind, Anand
Roucoux, Katherine H.
Rudas, Agustin
Salomão, Rafael P.
Schietti, Juliana
Silveira, Marcos
Souza, Priscila F. de
Steininger, Marc K.
Stropp, Juliana
Terborgh, John
Thomas, Raquel
Toledo, Marisol
Torres‐Lezama, Armando
van Andel, Tinde R.
van der Heijden, Geertje M. F.
Vieira, Ima C. G.
Vieira, Simone
Vilanova‐Torre, Emilio
Vos, Vincent A.
Wang, Ophelia
Zartman, Charles E.
Malhi, Yadvinder
Phillips, Oliver L.
Abstract: Aim The 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. Location Tropical forests of the Amazon basin. The permanent archive of the field plot data can be accessed at: Methods Two recent pantropical RS maps of vegetation carbon are compared to a unique ground‐plot dataset, involving tree measurements in 413 large inventory plots located in nine countries. The RS maps were compared directly to field plots, and kriging of the field data was used to allow area‐based comparisons. Results The two RS carbon maps fail to capture the main gradient in Amazon forest carbon detected using 413 ground plots, from the densely wooded tall forests of the north‐east, to the light‐wooded, shorter forests of the south‐west. The differences between plots and RS maps far exceed the uncertainties given in these studies, with whole regions over‐ or under‐estimated by > 25%, whereas regional uncertainties for the maps were reported to be < 5%. Main conclusions Pantropical biomass maps are widely used by governments and by projects aiming to reduce deforestation using carbon offsets, but may have significant regional biases. Carbon‐mapping techniques must be revised to account for the known ecological variation in tree wood density and allometry to create maps suitable for carbon accounting. The use of single relationships between tree canopy height and above‐ground biomass inevitably yields large, spatially correlated errors. This presents a significant challenge to both the forest conservation and remote sensing communities, because neither wood density nor species assemblages can be reliably mapped from space
Subject: Alometria
Country: Reino Unido
Editor: Wiley
Rights: Fechado
Identifier DOI: 10.1111/geb.12168
Date Issue: 2014
Appears in Collections:NEPAM - Artigos e Outros Documentos

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