| 1. Identificação | ||||
| Tipo de Referência | Artigo em Evento (Conference Proceedings) | |||
| Site | mtc-m21c.sid.inpe.br | |||
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identificador | 8JMKD3MGP3W34R/44JQCM5 | |||
| Repositório | sid.inpe.br/mtc-m21c/2021/04.29.17.38 | |||
| Última Atualização | 2021:04.29.17.38.30 (UTC) simone | |||
| Repositório de Metadados | sid.inpe.br/mtc-m21c/2021/04.29.17.38.30 | |||
| Última Atualização dos Metadados | 2022:04.03.22.29.10 (UTC) administrator | |||
| Chave Secundária | INPE--PRE/ | |||
| DOI | 10.5194/egusphere-egu21-3065 | |||
| Chave de Citação | RosanGGOPMAHVWTBFS:2021:AsLaUs | |||
| Título | Assessment of land use and land cover datasets for Brazil and impact on C emissions  | |||
| Ano | 2021 | |||
| Data de Acesso | 20 maio 2024 | |||
| Tipo Secundário | PRE CI | |||
| Número de Arquivos | 1 | |||
| Tamanho | 279 KiB | |||
| 2. Contextualização | ||||
| Autor | 1 Rosan, Thais M. 2 Goldewijk, Kess Klein 3 Ganzenmüller, 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 Stich, Stephen | |||
| ORCID | 1 0000-0003-0155-1739 2 3 0000-0002-2337-0915 4 0000-0002-6278-3392 5 0000-0003-0372-3960 6 0000-0003-4069-0838 7 8 9 0000-0003-1045-4316 10 11 0000-0003-4617-4690 12 0000-0002-7368-7806 13 0000-0003-3309-4739 | |||
| 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 Met Office Hadley Centre 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 luiz.aragao@inpe.br 8 9 celso.vonrandow@inpe.br | |||
| Nome do Evento | EGU General Assembly | |||
| Localização do Evento | Online | |||
| Data | 19-30 apr. | |||
| Editora (Publisher) | EGU | |||
| Histórico (UTC) | 2021-04-29 17:38:30 :: simone -> administrator :: 2022-04-03 22:29:10 :: administrator -> simone :: 2021 | |||
| 3. Conteúdo e estrutura | ||||
| É a matriz ou uma cópia? | é a matriz | |||
| Estágio do Conteúdo | concluido | |||
| Transferível | 1 | |||
| Tipo do Conteúdo | External Contribution | |||
| Resumo | Brazil is responsible for about one third of the global land use and land cover change (LULCC) carbon dioxide emissions. However, there is a disagreement among different methodologies on the magnitude and trends in emissions and their geographic distribution. One of the main uncertainties is associated with different LULCC datatasets used as input in the different approaches. In this work we perform an evaluation of LULCC datasets for Brazil, including the global dataset (HYDE 3.2) used in the annual Global Carbon Budget (GCB), and national Brazilian dataset (MapBiomas) over the period 2000-2018. We also analyze the latest global HYDE 3.3 dataset based on new FAO inventory estimates and multi-annual ESA CCI satellite-based land cover maps. Results show that the new HYDE 3.3 can represent well the observed spatial variation in cropland and pastures areas over the last decades compared to national data (MapBiomas) and shows an improvement compared to HYDE 3.2 used in GCB. However, the magnitude of LULCC assessed with HYDE 3.3 is lower than national estimates from MapBiomas. Finally, we used HYDE 3.3 as input to two different approaches included in GCB, a global bookkeeping model (BLUE) and a process-based Dynamic Global Vegetation Model (JULES-ES) to determine the impact of the new version of HYDE dataset on Brazils land-use emissions trends over the period 2000-2017. Both JULES-ES and BLUE now simulate a negative land-use emissions trend for the last two decades. This negative trend is in agreement with Brazilian INPE-EM, global H&N bookkeeping models, FAO and as reported in National GHG inventories (NGHGI), although magnitudes differ among approaches. Overall, the inclusion of the multi-annual ESA CCI Land Cover dataset to allocate spatially the FAO statistical data has improved spatial representation of agricultural area change in Brazil in the last two decades, contributing to improve global model capability to simulate Brazils LULCC emissions in agreement with national trends estimates and spatial distribution. | |||
| Área | SRE | |||
| Arranjo | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Assessment of land... | |||
| 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 | ||||
| URL dos dados | http://urlib.net/ibi/8JMKD3MGP3W34R/44JQCM5 | |||
| URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP3W34R/44JQCM5 | |||
| Idioma | en | |||
| Arquivo Alvo | EGU21-3065-print.pdf | |||
| Grupo de Usuários | simone | |||
| Visibilidade | shown | |||
| Permissão de Atualização | não transferida | |||
| 5. Fontes relacionadas | ||||
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/46KUATE | |||
| Acervo Hospedeiro | urlib.net/www/2017/11.22.19.04 | |||
| 6. Notas | ||||
| Campos Vazios | archivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume | |||
| 7. Controle da descrição | ||||
| e-Mail (login) | simone | |||
| atualizar | ||||