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Metadados

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP5W34M/3GJQ3RP
Repositóriosid.inpe.br/mtc-m21b/2014/07.04.12.44   (acesso restrito)
Última Atualização2014:07.15.14.06.11 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2014/07.04.12.44.58
Última Atualização dos Metadados2018:06.04.03.04.21 (UTC) administrator
DOI10.1111/geb.12168
ISSN1466-822X
Rótuloself-archiving-INPE-MCTI-GOV-BR
Chave de CitaçãoMitchardFBLMBLLQGSMAAAAABBBBCMCCCMCCFDEFHCKLLMMMPMNNVPPMPPPPPRCRRRSSSSSSTTTTAHVVVVWZMP:2014:MaDiEs
TítuloMarkedly divergent estimates of Amazon forest carbon density from ground plots and satellites
ProjetoPRONEX – FAPEAM/CNPq (1600/2006), Hidroveg FAPESP/FAPEAM, Universal/CNPq (473308/2009-6), CNPq/PELD (Proc. 558069/2009-6).
Ano2014
Data de Acesso12 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1157 KiB
2. Contextualização
Autor 1 Mitchard, Edward T. A.
 2 Feldpausch, Ted R.
 3 Brienen, Roel J. W.
 4 Lopez-Gonzalez, Gabriela
 5 Monteagudo, Abel
 6 Baker, Timothy R.
 7 Lewis, Simon L.
 8 Lloyd, Jon
 9 Quesada, Carlos A.
10 Gloor, Manuel
11 ter Steege, Hans
12 Meir, Patrick
13 Alvarez, Esteban
14 Araujo-Murakami, Alejandro
15 Aragão, Luiz Eduardo Oliveira e Cruz de
16 Arroyo, Luzmila
17 Aymard, Gerardo
18 Banki, Olaf
19 Bonal, Damien
20 Brown, Sandra
21 Brown, Foster I.
22 Cerón, Carlos E.
23 Moscoso, Victor Chama
24 Chave, Jerome
25 Comiskey, James A.
26 Cornejo, Fernando
27 Medina, Massiel Corrales
28 Costa, Lola Da
29 Costa, Flavia R. C.
30 Fiore, Anthony Di
31 Domingues, Tomas F.
32 Erwin, Terry L.
33 Frederickson, Todd
34 Higuchi, Niro
35 Coronado, Euridice N. Honorio
36 Killeen, Tim J.
37 Laurance, William F.
38 Levis, Carolina
39 Magnusson, William E.
40 Marimon, Beatriz S.
41 Marimon Junior, Ben Hur
42 Polo, Irina Mendoza
43 Mishra, Piyush
44 Nascimento, Marcelo T.
45 Neill, David
46 Vargas, Mario P. Núñez
47 Palacios, Walter A.
48 Parada, Alexander
49 Molina, Guido Pardo
50 Peña-Claros, Marielos
51 Pitman, Nigel
52 Peres, Carlos A.
53 Poorter, Lourens
54 Prieto, Adriana
55 Ramirez-Angulo, Hirma
56 Correa, Zorayda Restrepo
57 Roopsind, Anand
58 Roucoux, Katherine H.
59 Rudas, Agustin
60 Salomão, Rafael P.
61 Schietti, Juliana
62 Silveira, Marcos
63 Souza, Priscila F. de
64 Steininger, Marc K.
65 Stropp, Juliana
66 Terborgh, John
67 Thomas, Raquel
68 Toledo, Marisol
69 Torres-Lezama, Armando
70 van Andel, Tinde R.
71 van der Heijden, Geertje M. F.
72 Vieira, Ima C. G.
73 Vieira, Simone
74 Vilanova-Torre, Emilio
75 Vos, Vincent A.
76 Wang, Ophelia
77 Zartman, Charles E.
78 Malhi, Yadvinder
79 Phillips, Oliver L.
Grupo 1
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15 DSR-OBT-INPE-MCTI-GOV-BR
Afiliação 1
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15 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor 1
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15 laragao@dsr.inpe.br
Endereço de e-Maillaragao@dsr.inpe.br
RevistaGlobal Ecology and Biogeography
Volume23
Páginas935–946
Nota SecundáriaA1_CIÊNCIAS_BIOLÓGICAS_I A1_GEOCIÊNCIAS A1_BIODIVERSIDADE A1_CIÊNCIAS_AGRÁRIAS_I A1_INTERDISCIPLINAR
Histórico (UTC)2014-07-04 12:44:58 :: laragao@dsr.inpe.br -> administrator ::
2018-06-04 03:04:21 :: administrator -> marcelo.pazos@inpe.br :: 2014
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chaveabove-ground biomass
allometry
carbon cycle
REDD+
remote sensing
satellite mapping
wood density
ResumoAim 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: http://dx.doi.org/10.5521/FORESTPLOTS.NET/2014_1 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.
ÁreaSRE
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvogeb12168.pdf
Grupo de Usuárioslaragao@dsr.inpe.br
marcelo.pazos@inpe.br
Grupo de Leitoresadministrator
marcelo.pazos@inpe.br
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhoiconet.com.br/banon/2006/11.26.21.31
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Lista de Itens Citando
DivulgaçãoWEBSCI; PORTALCAPES; SCOPUS.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
e-Mail (login)marcelo.pazos@inpe.br
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