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Metadados

1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/48UL6E2
Repositóriosid.inpe.br/mtc-m21d/2023/04.24.13.57
Última Atualização2023:04.24.13.57.36 (UTC) self-uploading-INPE-MCTI-GOV-BR
Repositório de Metadadossid.inpe.br/mtc-m21d/2023/04.24.13.57.36
Última Atualização dos Metadados2024:01.02.17.16.42 (UTC) administrator
Chave SecundáriaINPE--PRE/
Rótuloself-archiving-INPE-MCTIC-GOV-BR
Chave de CitaçãoRosanSOWBFHSVMGGFWPSA:2023:CoAmFo
TítuloThe contemporary Amazon Forest carbon budget
Ano2023
Data de Acesso16 jun. 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho291 KiB
2. Contextualização
Autor 1 Rosan, Thais M.
 2 Stich, Stephen
 3 O'Sullivan, Michael
 4 Wilson, Christopher
 5 Basso, Luana Santamaria
 6 Fawcett, Dominic
 7 Heinrichg, Viola A.
 8 Souza, Jefferson G.
 9 Von Randow, Celso
10 Mercado, Lina M.
11 Gloor, Emanuel
12 Gatti, Luciana Vanni
13 Friedlingstein, Pierre
14 Wiltshire, Andy
15 Pongratz, Julia
16 Schwingschack, Clemens
17 Aragão, Luiz Eduardo Oliveira e Cruz de
18 TRENDY-v11 Team
ORCID 1 0000-0003-0155-1739
 2
 3 0000-0002-6278-3392
 4 0000-0001-8494-0697
 5 0000-0002-4208-6039
 6 0000-0002-0159-2533
 7
 8
 9 0000-0003-1045-4316
10 0000-0003-4069-0838
11
12
13 0000-0003-3309-4739
14
15 0000-0003-0372-3960
16 0000-0003-4048-3011
Grupo 1
 2
 3
 4
 5 DIIAV-CGCT-INPE-MCTI-GOV-BR
 6
 7
 8
 9 DIIAV-CGCT-INPE-MCTI-GOV-BR
10
11
12 DIIAV-CGCT-INPE-MCTI-GOV-BR
13
14
15
16
17 DIOTG-CGCT-INPE-MCTI-GOV-BR
Afiliação 1 University of Exeter
 2 University of Exeter
 3 University of Exeter
 4 University of Leeds
 5 Instituto Nacional de Pesquisas Espaciais (INPE)
 6 University of Exeter
 7 University of Exeter
 8 University of Exeter
 9 Instituto Nacional de Pesquisas Espaciais (INPE)
10 University of Exeter
11 University of Leeds
12 Instituto Nacional de Pesquisas Espaciais (INPE)
13 University of Exeter
14 Met Office Hadley Centre
15 Ludwig-Maximilians-Universitat München (LMU)
16 Ludwig-Maximilians-Universitat München (LMU)
17 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor 1
 2
 3
 4
 5 luanabasso@gmail.com
 6
 7
 8
 9 celso.vonrandow@inpe.br
10
11
12 lvgatti@gmail.com
13
14
15
16
17 luiz.aragao@inpe.br
Nome do EventoEGU General Assembly
Localização do EventoVienna, Austria
Data23-28 Apr. 2023
Histórico (UTC)2023-04-24 13:57:36 :: simone -> administrator ::
2023-04-28 14:17:24 :: administrator -> simone :: 2023
2023-06-22 19:31:00 :: simone -> administrator :: 2023
2023-12-18 23:44:30 :: administrator -> self-uploading-INPE-MCTI-GOV-BR :: 2023
2023-12-19 01:09:48 :: self-uploading-INPE-MCTI-GOV-BR -> administrator :: 2023
2024-01-02 17:16:42 :: administrator -> simone :: 2023
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoThe Amazon is the largest continuous tropical forest in the world and plays a key role in the global carbon cycle. Human-induced disturbances (e.g., deforestation and wildfires) in combination with climate change have impacted its carbon cycling. However, uncertainties remain on the magnitude of carbon fluxes associated with human-induced disturbances and the old-growth forest sink, and thus the net land carbon balance of the Amazon. Here we synthesize state-of-the-art estimates of the land carbon flux components in the Amazon. To quantify the human-disturbance fluxes from deforestation, land use and land cover changes and degradation, we use a set of bookkeeping models. The annual intact sink was quantified using a set of 16 Dynamic Global Vegetation Models (DGVMs). We then combine the carbon flux estimates from disturbances with the intact sink estimates to provide a bottom-up estimate of the net land carbon flux and compare them alongside top-down estimates from atmospheric model inversions. Between 2010 and 2018, the net land carbon flux in the Brazilian Amazon estimated with the bottom-up approach was -59 (±160) Tg C yr-1 and +36 (±125) Tg C yr-1 with the top-down approach. Despite disagreeing on the sign of the flux, this analysis suggests that the Brazilian Amazon was on average near carbon neutral over the 2010-2018 period, given the large uncertainties underlying both methods. The net land carbon fluxes for the years 2019 and 2020 based on the bottom-up approach were larger than for 2010-2018. This is likely primarily due to direct emissions related to an increase in deforestation although it may possibly be partly caused by a weakening of the forest carbon sink, both in response to deforestation and a warming climate. Spatially, both methodologies agree that the south-eastern Amazon was a net carbon source over the whole study period. These results have important implications for the mitigation potential of Brazilian ecosystems within the goals of the Paris Agreement.
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34T/48UL6E2
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34T/48UL6E2
Idiomaen
Arquivo AlvoEGU23-3228-print.pdf
Grupo de Usuáriossimone
Visibilidadeshown
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords lineage mark mirrorrepository nextedition notes numberofvolumes organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume
7. Controle da descrição
e-Mail (login)simone
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