1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | mtc-m21d.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W34T/49QDK85 |
Repositório | sid.inpe.br/mtc-m21d/2023/09.11.13.35 (acesso restrito) |
Última Atualização | 2023:09.11.13.35.18 (UTC) self-uploading-INPE-MCTI-GOV-BR |
Repositório de Metadados | sid.inpe.br/mtc-m21d/2023/09.11.13.35.18 |
Última Atualização dos Metadados | 2024:01.02.17.16.46 (UTC) administrator |
DOI | 10.3389/ffgc.2023.1107580 |
ISSN | 2624-893X |
Rótulo | self-archiving-INPE-MCTIC-GOV-BR |
Chave de Citação | TejadaPinelGBCSMMAGMCDSCCNV:2023:ArBoEs |
Título | CO2 emissions in the Amazon: are bottom-up estimates from land use and cover datasets consistent with top-down estimates based on atmospheric measurements? ![](http://mtc-m21d.sid.inpe.br/col/dpi.inpe.br/banon/2000/01.23.20.24/doc/externalLink.gif) |
Ano | 2023 |
Data de Acesso | 22 jun. 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 4844 KiB |
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2. Contextualização | |
Autor | 1 Tejada Pinel, Graciela 2 Gatti, Luciana Vanni 3 Basso, Luana Santamaria 4 Cassol, Henrique Luís Godinho 5 Silva Júnior, Celso Henrique Leite 6 Mataveli, Guilherme Augusto Verola 7 Marani, Luciano 8 Arai, Egidio 9 Gloor, Manuel 10 Miller, John B. 11 Cunha, Camilla Lima 12 Domingues, Lucas Gatti 13 Sanchez Ipia, Alber Hamersson 14 Correia, Caio Silvestre de Carvalho 15 Crispim, Stéphane Palma 16 Neves, Raiane Aparecida Lopes 17 Von Randow, Celso |
Identificador de Curriculo | 1 2 3 4 5 6 7 8 8JMKD3MGP5W/3C9JGUP |
Grupo | 1 CST-CST-DIPGR-INPE-MCTI-GOV-BR 2 DIIAV-CGCT-INPE-MCTI-GOV-BR 3 DIIAV-CGCT-INPE-MCTI-GOV-BR 4 DIOTG-CGCT-INPE-MCTI-GOV-BR 5 6 DIOTG-CGCT-INPE-MCTI-GOV-BR 7 DIIAV-CGCT-INPE-MCTI-GOV-BR 8 DIOTG-CGCT-INPE-MCTI-GOV-BR 9 10 11 DIIAV-CGCT-INPE-MCTI-GOV-BR 12 DIIAV-CGCT-INPE-MCTI-GOV-BR 13 DIOTG-CGCT-INPE-MCTI-GOV-BR 14 DIIAV-CGCT-INPE-MCTI-GOV-BR 15 DIIAV-CGCT-INPE-MCTI-GOV-BR 16 CST-CST-DIPGR-INPE-MCTI-GOV-BR 17 DIIAV-CGCT-INPE-MCTI-GOV-BR |
Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Instituto Nacional de Pesquisas da Amazônia (INPA) 6 Instituto Nacional de Pesquisas Espaciais (INPE) 7 Instituto Nacional de Pesquisas Espaciais (INPE) 8 Instituto Nacional de Pesquisas Espaciais (INPE) 9 University of Leeds 10 National Oceanic and Atmospheric Administration (NOAA) 11 Instituto Nacional de Pesquisas Espaciais (INPE) 12 Instituto Nacional de Pesquisas Espaciais (INPE) 13 Instituto Nacional de Pesquisas Espaciais (INPE) 14 Instituto Nacional de Pesquisas Espaciais (INPE) 15 Instituto Nacional de Pesquisas Espaciais (INPE) 16 Instituto Nacional de Pesquisas Espaciais (INPE) 17 Instituto Nacional de Pesquisas Espaciais (INPE) |
Endereço de e-Mail do Autor | 1 gracielatejadap@gmail.com 2 luciana.gatti@inpe.br 3 luana.basso@inpe.br 4 henrique.cassol@inpe.br 5 6 guilherme.mataveli@inpe.br 7 luciano.marani@inpe.br 8 egidio.arai@inpe.br 9 10 11 camilla.cunha@inpe.br 12 13 alber.ipia@inpe.br 14 15 stephane.crispim@inpe.br 16 raiane.neves@inpe.br 17 celso.vanrandow@inpe.br |
Revista | Frontiers in Forests and Global Change |
Volume | 6 |
Páginas | e1107580 |
Histórico (UTC) | 2023-09-11 13:37:39 :: simone -> administrator :: 2023 2023-12-18 23:44:40 :: administrator -> self-uploading-INPE-MCTI-GOV-BR :: 2023 2023-12-19 10:40:49 :: self-uploading-INPE-MCTI-GOV-BR -> administrator :: 2023 2024-01-02 17:16:46 :: administrator -> simone :: 2023 |
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3. Conteúdo e estrutura | |
É a matriz ou uma cópia? | é a matriz |
Estágio do Conteúdo | concluido |
Transferível | 1 |
Tipo do Conteúdo | External Contribution |
Tipo de Versão | publisher |
Palavras-Chave | Amazon bottom-up top-down approaches CO2 atmospheric measurements CO2 emissions emission factors land use and cover change |
Resumo | Amazon forests are the largest forests in the tropics and play a fundamental role for regional and global ecosystem service provision. However, they are under threat primarily from deforestation. Amazonia's carbon balance trend reflects the condition of its forests. There are different approaches to estimate large-scale carbon balances, including top-down (e.g., CO2 atmospheric measurements combined with atmospheric transport information) and bottom-up (e.g., land use and cover change (LUCC) data based on remote sensing methods). It is important to understand their similarities and differences. Here we provide bottom-up LUCC estimates and determine to what extent they are consistent with recent top-down flux estimates during 2010 to 2018 for the Brazilian Amazon. We combine LUCC datasets resulting in annual LUCC maps from 2010 to 2018 with emissions and removals for each LUCC, and compare the resulting CO2 estimates with top-down estimates based on atmospheric measurements. We take into account forest carbon stock maps for estimating loss processes, and carbon uptake of regenerating and mature forests. In the bottom-up approach total CO2 emissions (2010 to 2018), deforestation and degradation are the largest contributing processes accounting for 58% (4.3 PgCO2) and 37% (2.7 PgCO2) respectively. Looking at the total carbon uptake, primary forests play a dominant role accounting for 79% (−5.9 PgCO2) and secondary forest growth for 17% (−1.2 PgCO2). Overall, according to our bottom-up estimates the Brazilian Amazon is a carbon sink until 2014 and a source from 2015 to 2018. In contrast according to the top-down approach the Brazilian Amazon is a source during the entire period. Both approaches estimate largest emissions in 2016. During the period where flux signs are the same (20152018) top-down estimates are approximately 3 times larger in 20152016 than bottom-up estimates while in 20172018 there is closer agreement. There is some agreement between the approachesnotably that the Brazilian Amazon has been a source during 20152018 however there are also disagreements. Generally, emissions estimated by the bottom-up approach tend to be lower. Understanding the differences will help improve both approaches and our understanding of the Amazon carbon cycle under human pressure and climate change. |
Área | CST |
Arranjo 1 | urlib.net > CST > CO2 emissions in... |
Arranjo 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > CO2 emissions in... |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | |
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4. Condições de acesso e uso | |
Idioma | en |
Arquivo Alvo | ffgc-06-1107580.pdf |
Grupo de Usuários | simone |
Grupo de Leitores | administrator self-uploading-INPE-MCTI-GOV-BR simone |
Visibilidade | shown |
Permissão de Leitura | deny from all and allow from 150.163 |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/449U4PL 8JMKD3MGPCW/46KUATE |
Lista de Itens Citando | sid.inpe.br/bibdigital/2022/04.03.22.23 4 sid.inpe.br/bibdigital/2021/03.06.05.18 2 sid.inpe.br/mtc-m21/2012/07.13.14.45.03 2 |
Divulgação | WEBSCI; PORTALCAPES; SCOPUS. |
Acervo Hospedeiro | urlib.net/www/2021/06.04.03.40 |
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6. Notas | |
Campos Vazios | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
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