Fechar

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W/3GDQ7H8
Repositóriosid.inpe.br/plutao/2014/06.03.19.22   (acesso restrito)
Última Atualização2014:06.28.14.26.37 (UTC) administrator
Repositório de Metadadossid.inpe.br/plutao/2014/06.03.19.22.26
Última Atualização dos Metadados2021:03.06.05.20.34 (UTC) administrator
DOI10.1007/s10584-014-1058-7
ISSN0165-0009
Rótulolattes: 1325667605623244 1 OmettoAASVTLM:2014:TaUnCa
Chave de CitaçãoOmettoAASVTLM:2014:TaUnCa
TítuloAmazon forest biomass density maps: tackling the uncertainty in carbon emission estimates
Ano2014
MêsJune
Data de Acesso08 maio 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho785 KiB
2. Contextualização
Autor1 Ometto, Jean Pierre Henry Balbaud
2 Aguiar, Ana Paula Dutra de
3 Assis, Talita
4 Soler, Luciana
5 Valle, Pedro
6 Tejada, Graciela
7 Lapola, David M.
8 Meir, Patrick
Identificador de Curriculo1
2 8JMKD3MGP5W/3C9JGHD
Grupo1 CST-CST-INPE-MCTI-GOV-BR
2 CST-CST-INPE-MCTI-GOV-BR
3
4
5
6 CST-CST-SPG-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3
4
5
6 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 jean.ometto@inpe.br
2 ana.aguiar@inpe.br
Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaClimatic Change
Volume124
Número3
Páginas545-560
Nota SecundáriaA1_CIÊNCIAS_AGRÁRIAS_I A1_INTERDISCIPLINAR A1_CIÊNCIAS_AMBIENTAIS A1_BIODIVERSIDADE A1_ENGENHARIAS_III A1_SAÚDE_COLETIVA A1_GEOGRAFIA A2_GEOCIÊNCIAS A2_CIÊNCIAS_BIOLÓGICAS_I A2_ENGENHARIAS_I B1_CIÊNCIAS_BIOLÓGICAS_III B2_ASTRONOMIA_/_FÍSICA B3_SOCIOLOGIA
Histórico (UTC)2014-06-03 19:22:26 :: lattes -> administrator ::
2021-03-06 05:20:34 :: 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-ChaveAmazon
biomass
land use change
ResumoAs land use change (LUC), including deforestation, is a patchy process, estimating the impact of LUC on carbon emissions requires spatially accurate underlying data on biomass distribution and change. The methods currently adopted to estimate the spatial variation of above- and below-ground biomass in tropical forests, in particular the Brazilian Amazon, are usually based on remote sensing analyses coupled with field datasets, which tend to be relatively scarce and often limited in their spatial distribution. There are notable differences among the resulting biomass maps found in the literature. These differences subsequently result in relatively high uncertainties in the carbon emissions calculated from land use change, and have a larger impact when biomass maps are coded into biomass classes referring to specific ranges of biomass values. In this paper we analyze the differences among recently-published biomass maps of the Amazon region, including the official information used by the Brazilian government for its communication to the United Nation Framework on Climate Change Convention of the United Nations. The estimated average pre-deforestation biomass in the four maps, for the areas of the Amazon region that had been deforested during the 19902009 period, varied from 205 ± 32 Mg ha−1 during 19901999, to 216 ± 31 Mg ha−1 during 20002009. The biomass values of the deforested areas in 2011 were between 7 and 24 % higher than for the average deforested areas during 19901999, suggesting that although there was variation in the mean value, deforestation was tending to occur in increasingly carbon-dense areas, with consequences for carbon emissions. To summarize, our key findings were: (i) the current maps of Amazonian biomass show substantial variation in both total biomass and its spatial distribution; (ii) carbon emissions estimates from deforestation are highly dependent on the spatial distribution of biomass as determined by any single biomass map, and on the deforestation process itself; (iii) future deforestation in the Brazilian Amazon is likely to affect forests with higher biomass than those deforested in the past, resulting in smaller reductions in carbon dioxide emissions than expected purely from the recent reductions in deforestation rates; and (iv) the current official estimate of carbon emissions from Amazonian deforestation is probably overestimated, because the recent loss of higher-biomass forests has not been taken into account.
ÁreaCST
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > COCST > Amazon forest biomass...
Arranjo 2urlib.net > Produção pgr ATUAIS > CST > Amazon forest biomass...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo AlvoOmetto etal_ClimaticChange(2014).pdf
Grupo de Usuáriosadministrator
lattes
marcelo.pazos@inpe.br
self-uploading-INPE-MCTI-GOV-BR
Grupo de Leitoresadministrator
marcelo.pazos@inpe.br
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft12
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/3F3T29H
8JMKD3MGPCW/449U4PL
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.19.20.40 1
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
NotasInformações Adicionais: This article is part of a Special Issue on "Third International Workshop on Uncertainty in Greenhouse Gas Inventories" edited by Jean Ometto and Rostyslav Bun..
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url
7. Controle da descrição
e-Mail (login)marcelo.pazos@inpe.br
atualizar 


Fechar