CO2 emissions in the Amazon

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dc.contributor.authorTEJADA, GRACIELApt_BR
dc.contributor.authorGATTI, LUCIANA V.pt_BR
dc.contributor.authorBASSO, LUANA S.pt_BR
dc.contributor.authorCASSOL, HENRIQUE L.G.pt_BR
dc.contributor.authorSILVA-JUNIOR, CELSO H.L.pt_BR
dc.contributor.authorMATAVELI, GUILHERMEpt_BR
dc.contributor.authorMARANI, LUCIANOpt_BR
dc.contributor.authorARAI, EGIDIOpt_BR
dc.contributor.authorGLOOR, MANUELpt_BR
dc.contributor.authorMILLER, JHON B.pt_BR
dc.contributor.authorCUNHA, CAMILA L.pt_BR
dc.contributor.authorDOMINGUES, LUCAS G.pt_BR
dc.contributor.authorIPIA, ALBERpt_BR
dc.contributor.authorCORREIA, CAIO S.C.pt_BR
dc.contributor.authorCRISPIM, STEPHANE P.pt_BR
dc.contributor.authorNEVES, RAIANE A.L.pt_BR
dc.contributor.authorRANDOW, CELSO V.pt_BR
dc.coverageInternacional
dc.date.accessioned2023-12-04T20:32:11Z
dc.date.available2023-12-04T20:32:11Z
dc.date.issued2023pt_BR
dc.description.abstractAmazon 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 (2015–2018) top-down estimates are approximately 3 times larger in 2015–2016 than bottom-up estimates while in 2017–2018 there is closer agreement. There is some agreement between the approaches–notably that the Brazilian Amazon has been a source during 2015–2018 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.pt_BR
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)pt_BR
dc.description.sponsorshipUK Environmental Research Council (NERC)pt_BR
dc.description.sponsorshipNational Aeronautics & Space Administration (NASA)pt_BR
dc.description.sponsorshipEuropean Research Council (ERC)pt_BR
dc.description.sponsorshipEuropean Union (EU)pt_BR
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)pt_BR
dc.description.sponsorshipIDFAPESP: 018/18493-7; 018/14006-4; 16/2016/02018-2; 19/25701-8pt_BR
dc.description.sponsorshipIDNERC: NE/F005806/1pt_BR
dc.description.sponsorshipIDNASA: 11-CMS11-0025; NRMJ1000-17-00431; NNX17AK49Gpt_BR
dc.description.sponsorshipIDERC: 649087pt_BR
dc.description.sponsorshipIDEU: 283080pt_BR
dc.description.sponsorshipIDCNPq: 134878/2009-4; 314780/2020-3; 444418/2018-0; 350820/2022-8pt_BR
dc.format.extent1-15pt_BR
dc.identifier.citationTEJADA, GRACIELA; GATTI, LUCIANA V.; BASSO, LUANA S.; CASSOL, HENRIQUE L.G.; SILVA-JUNIOR, CELSO H.L.; MATAVELI, GUILHERME; MARANI, LUCIANO; ARAI, EGIDIO; GLOOR, MANUEL; MILLER, JHON B.; CUNHA, CAMILA L.; DOMINGUES, LUCAS G.; IPIA, ALBER; CORREIA, CAIO S.C.; CRISPIM, STEPHANE P.; NEVES, RAIANE A.L.; RANDOW, CELSO V. CO2 emissions in the Amazon: are bottom-up estimates from land use and cover datasets consistent with top-down estimates based on atmospheric measurements?. <b>Frontiers in Forests and Global Change</b>, v. 6, p. 1-15, 2023. DOI: <a href="https://dx.doi.org/10.3389/ffgc.2023.1107580">10.3389/ffgc.2023.1107580</a>. Disponível em: http://repositorio.ipen.br/handle/123456789/34236.
dc.identifier.doi10.3389/ffgc.2023.1107580pt_BR
dc.identifier.issn2624-893X
dc.identifier.orcid0000-0003-4908-8974pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0003-4908-8974
dc.identifier.percentilfi74.3
dc.identifier.percentilfiCiteScore68.60
dc.identifier.urihttp://repositorio.ipen.br/handle/123456789/34236
dc.identifier.vol6pt_BR
dc.relation.ispartofFrontiers in Forests and Global Change
dc.rightsopenAccesspt_BR
dc.titleCO2 emissions in the Amazonpt_BR
dc.typeArtigo de periódicopt_BR
dspace.entity.typePublication
ipen.autorLUCAS GATTI DOMINGUES
ipen.autorLUCIANA VANNI GATTI
ipen.codigoautor6548
ipen.codigoautor670
ipen.contributor.ipenauthorLUCAS GATTI DOMINGUES
ipen.contributor.ipenauthorLUCIANA VANNI GATTI
ipen.date.recebimento23-12
ipen.identifier.fi2.7
ipen.identifier.fiCiteScore4.5
ipen.identifier.ipendoc29868
ipen.identifier.iwosWoSpt_BR
ipen.identifier.ods13
ipen.range.fi1.500 - 2.999
ipen.range.percentilfi50.00 - 74.99
ipen.subtituloare bottom-up estimates from land use and cover datasets consistent with top-down estimates based on atmospheric measurements?pt_BR
ipen.type.genreArtigo
relation.isAuthorOfPublication3eb6eddc-494d-4e4c-bce8-4c6a4bafa5a6
relation.isAuthorOfPublication12ece531-6992-4dbf-b85f-3026471e1a3b
relation.isAuthorOfPublication.latestForDiscovery12ece531-6992-4dbf-b85f-3026471e1a3b
sigepi.autor.atividadeDOMINGUES, LUCAS G.:6548:1010:Npt_BR
sigepi.autor.atividadeGATTI, LUCIANA V.:670:1010:Npt_BR
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