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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21d.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34T/453QAGS
Repositorysid.inpe.br/mtc-m21d/2021/07.12.12.40
Last Update2021:07.12.12.40.31 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21d/2021/07.12.12.40.31
Metadata Last Update2022:04.03.22.27.28 (UTC) administrator
DOI10.1088/1748-9326/ac08c3
ISSN1748-9326
Citation KeyRosanGGOPMAHVWTBFS:2021:MuAsLa
TitleA multi-data assessment of land use and land cover emissions from Brazil during 2000-2019
Year2021
MonthJuly
Access Date2025, May 09
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size1734 KiB
2. Context
Author 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
Group 1
 2
 3
 4
 5
 6
 7 DIOTG-CGCT-INPE-MCTI-GOV-BR
 8
 9 DIIAV-CGCT-INPE-MCTI-GOV-BR
Affiliation 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
Author e-Mail Address 1 T.Rosan@exeter.ac.uk
 2
 3
 4
 5
 6
 7 leocaragao@gmail.com
 8
 9 celso.vonrandow@inpe.br
JournalEnvironmental Research Letters
Volume16
Number7
Pagese074004
Secondary MarkA1_GEOCIÊNCIAS A1_CIÊNCIAS_AGRÁRIAS_I A2_INTERDISCIPLINAR B1_ASTRONOMIA_/_FÍSICA
History (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. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsland-use and land cover changedeforestationland-use emissionsglobal carbon budget
AbstractBrazil 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.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > A multi-data assessment...
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data URLhttp://urlib.net/ibi/8JMKD3MGP3W34T/453QAGS
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34T/453QAGS
Languageen
Target Filerosan-multi.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policyallowpublisher allowfinaldraft
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/46KUATE
DisseminationWEBSCI; PORTALCAPES.
Host Collectionurlib.net/www/2021/06.04.03.40
6. Notes
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