Fechar
Metadados

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/453QAGS
Repositóriosid.inpe.br/mtc-m21d/2021/07.12.12.40
Última Atualização2021:07.12.12.40.31 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2021/07.12.12.40.31
Última Atualização dos Metadados2022:04.03.22.27.28 (UTC) administrator
DOI10.1088/1748-9326/ac08c3
ISSN1748-9326
Chave de CitaçãoRosanGGOPMAHVWTBFS:2021:MuAsLa
TítuloA multi-data assessment of land use and land cover emissions from Brazil during 2000-2019
Ano2021
MêsJuly
Data de Acesso20 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho1734 KiB
2. Contextualização
Autor 1 Rosan, Thais M.
 2 Goldewijk, Kess Klein
 3 Gazenmüller, Raphael
 4 O'Sullivan, Michael
 5 Pongratz, Julia
 6 Mercado, Lina M.
 7 Aragão, Luiz Eduardo Oliveira e Cruz de
 8 Heinrich, Viola
 9 Von Randow, Celso
10 Wiltshire, Andrew
11 Tubiello, Francesco N.
12 Bastos, Ana
13 Friedlingstein, Pierre
14 Sitch, Stephen
ORCID 1 0000-0003-0155-1739
 2
 3 0000-0002-2337-0915
 4 0000-0002-6278-3392
 5
 6 0000-0003-4069-0838
 7
 8 0000-0003-0501-0032
 9
10
11 0000-0003-4617-4690
12 0000-0002-7368-7806
Grupo 1
 2
 3
 4
 5
 6
 7 DIOTG-CGCT-INPE-MCTI-GOV-BR
 8
 9 DIIAV-CGCT-INPE-MCTI-GOV-BR
Afiliação 1 University of Exeter
 2 Utrecht University
 3 Ludwig-Maximilians-Universität
 4 University of Exeter
 5 Ludwig-Maximilians-Universität
 6 University of Exeter
 7 Instituto Nacional de Pesquisas Espaciais (INPE)
 8 University of Bristol
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 University of Exeter
11 FAO
12 Max Planck Institute for Biogeochemistry
13 University of Exeter
14 University of Exeter
Endereço de e-Mail do Autor 1 T.Rosan@exeter.ac.uk
 2
 3
 4
 5
 6
 7 leocaragao@gmail.com
 8
 9 celso.vonrandow@inpe.br
RevistaEnvironmental Research Letters
Volume16
Número7
Páginase074004
Nota SecundáriaA1_GEOCIÊNCIAS A1_CIÊNCIAS_AGRÁRIAS_I A2_INTERDISCIPLINAR B1_ASTRONOMIA_/_FÍSICA
Histórico (UTC)2021-07-12 12:40:31 :: simone -> administrator ::
2021-07-12 12:40:32 :: administrator -> simone :: 2021
2021-07-12 12:42:50 :: simone -> administrator :: 2021
2022-04-03 22:27:28 :: administrator -> simone :: 2021
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-Chaveland-use and land cover changedeforestationland-use emissionsglobal carbon budget
ResumoBrazil is currently the largest contributor of land use and land cover change (LULCC) carbon dioxide net emissions worldwide, representing 17%-29% of the global total. There is, however, a lack of agreement among different methodologies on the magnitude and trends in LULCC emissions and their geographic distribution. Here we perform an evaluation of LULCC datasets for Brazil, including those used in the annual global carbon budget (GCB), and national Brazilian assessments over the period 2000-2018. Results show that the latest global HYDE 3.3 LULCC dataset, based on new FAO inventory estimates and multi-annual ESA CCI satellite-based land cover maps, can represent the observed spatial variation in LULCC over the last decades, representing an improvement on the HYDE 3.2 data previously used in GCB. However, the magnitude of LULCC assessed with HYDE 3.3 is lower than estimates based on MapBiomas. We use HYDE 3.3 and MapBiomas as input to a global bookkeeping model (bookkeeping of land use emission, BLUE) and a process-based Dynamic Global Vegetation Model (JULES-ES) to determine Brazil's LULCC emissions over the period 2000-2019. Results show mean annual LULCC emissions of 0.1-0.4 PgC yr(-1), compared with 0.1-0.24 PgC yr(-1) reported by the Greenhouse Gas Emissions Estimation System of land use changes and forest sector (SEEG/LULUCF) and by FAO in its latest assessment of deforestation emissions in Brazil. Both JULES-ES and BLUE now simulate a slowdown in emissions after 2004 (-0.006 and -0.004 PgC yr(-2) with HYDE 3.3, -0.014 and -0.016 PgC yr(-2) with MapBiomas, respectively), in agreement with the Brazilian INPE-EM, global Houghton and Nassikas book-keeping models, FAO and as reported in the 4th national greenhouse gas inventories. The inclusion of Earth observation data has improved spatial representation of LULCC in HYDE and thus model capability to simulate Brazil's LULCC emissions. This will likely contribute to reduce uncertainty in global LULCC emissions, and thus better constrains GCB assessments.
ÁreaSRE
Arranjourlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > A multi-data assessment...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
agreement.html 12/07/2021 09:40 1.0 KiB 
4. Condições de acesso e uso
URL dos dadoshttp://mtc-m21d.sid.inpe.br/ibi/8JMKD3MGP3W34T/453QAGS
URL dos dados zipadoshttp://mtc-m21d.sid.inpe.br/zip/8JMKD3MGP3W34T/453QAGS
Idiomaen
Arquivo Alvorosan-multi.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
DivulgaçãoWEBSCI; PORTALCAPES.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
e-Mail (login)simone
atualizar 


Fechar