| 1. Identificação | ||||
| Tipo de Referência | Artigo em Evento (Conference Proceedings) | |||
| Site | mtc-m21d.sid.inpe.br | |||
| Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S | |||
| Identificador | 8JMKD3MGP3W34T/4AC8JHB | |||
| Repositório | sid.inpe.br/mtc-m21d/2023/12.11.16.27 | |||
| Repositório de Metadados | sid.inpe.br/mtc-m21d/2023/12.11.16.27.53 | |||
| Última Atualização dos Metadados | 2024:01.02.17.16.56 (UTC) administrator | |||
| Chave Secundária | INPE--PRE/ | |||
| Chave de Citação | CastroBezeVonRVonR:2023:GrPrPr | |||
| Título | Gross Primary Productivity heterogeneity in the Amazon forest and possible vulnerabilities to climate change  | |||
| Ano | 2023 | |||
| Data de Acesso | 12 maio 2024 | |||
| Tipo Secundário | PRE CI | |||
| 2. Contextualização | ||||
| Autor | 1 Castro, Aline Anderson de 2 Bezerra, Francisco Gilney Silva 3 Von Randow, Rita 4 Von Randow, Celso | |||
| Grupo | 1 DIIAV-CGCT-INPE-MCTI-GOV-BR 2 DIIAV-CGCT-INPE-MCTI-GOV-BR 3 DIIAV-CGCT-INPE-MCTI-GOV-BR 4 DIIAV-CGCT-INPE-MCTI-GOV-BR | |||
| Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) | |||
| Endereço de e-Mail do Autor | 1 aline.castro@inpe.br 2 francisco.gilney@inpe.br 3 rita.vonrandow@inpe.br 4 celso.vonrandow@inpe.br | |||
| Nome do Evento | AGU FAll Meeting | |||
| Localização do Evento | San Francisco, CA | |||
| Data | 11-15 Dec. 2023 | |||
| Editora (Publisher) | AGU | |||
| Título do Livro | Proceedings | |||
| Histórico (UTC) | 2023-12-11 16:27:53 :: simone -> administrator :: 2024-01-02 17:16:56 :: administrator -> simone :: 2023 | |||
| 3. Conteúdo e estrutura | ||||
| É a matriz ou uma cópia? | é a matriz | |||
| Estágio do Conteúdo | concluido | |||
| Transferível | 1 | |||
| Tipo do Conteúdo | External Contribution | |||
| Tipo de Versão | publisher | |||
| Resumo | Brazil concentrates in the Amazon biome its main emissions associated with deforestation and forest degradation, but also possible sinks through the natural forest. This study focuses on understanding this sink role and the factors that determine resilience or vulnerability of the biome to future climate change. To achieve this, we used Gross Primary Productivity (GPP) obtained by the GOSIF Gross Primary Productivity based on OCO-SIF, MODIS remote sensing data as a forest productivity proxy. We applied k-means clustering method to classify regions according to the annual mean GPP and also to its amplitude (difference between maximum and minimum monthly mean) in natural forest. For each cluster, we evaluated the main atmospheric data that can explain the GPP using linear regression over a set of variables obtained from ERA5-Land reanalysis data. To remove deforested areas, we classified the 2020 Pan-Amazonian land cover Mapbiomas data as natural or non-natural areas to produce a mask of only natural areas. The main conditions found as GPP explanatory variables, as expected, are evaporation, solar radiation, precipitation, and soil related, such as heat flux, soil water content and temperature and albedo. Either clustering by the annual mean or by the annual amplitude, the central Amazon appears mainly influenced by forest evaporation, while the southern areas are more influenced by the soil properties. Precipitation is a relevant driver in the southwestern and eastern areas, together with solar radiation. The main difference between the two clustering methods was found in the northwestern areas, where the clustering based on mean GPP is related to evaporation and the clustering based on GPP amplitude shows a stronger influence of the radiation and, to a lesser extent, surface runoff and relative humidity. The next step is to include other ecological or physiological factors in the GPP distribution over the Amazon Basin, to find out if there are any particularities in the main drivers (meteorological and/or ecological) of GPP variability in different areas of the amazon. | |||
| Área | CST | |||
| Arranjo | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Gross Primary Productivity... | |||
| Conteúdo da Pasta doc | não têm arquivos | |||
| Conteúdo da Pasta source | não têm arquivos | |||
| Conteúdo da Pasta agreement |
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| 4. Condições de acesso e uso | ||||
| Idioma | en | |||
| Grupo de Usuários | simone | |||
| Visibilidade | shown | |||
| Permissão de Atualização | não transferida | |||
| 5. Fontes relacionadas | ||||
| Unidades Imediatamente Superiores | 8JMKD3MGPCW/46KUATE | |||
| Acervo Hospedeiro | urlib.net/www/2021/06.04.03.40 | |||
| 6. Notas | ||||
| Campos Vazios | archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberoffiles numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle size sponsor subject targetfile tertiarymark tertiarytype type url volume | |||
| 7. Controle da descrição | ||||
| e-Mail (login) | simone | |||
| atualizar | ||||