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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3Q5RJG5
Repositóriosid.inpe.br/mtc-m21b/2017/12.04.12.32
Última Atualização2017:12.04.12.32.45 (UTC) administrator
Repositório de Metadadossid.inpe.br/mtc-m21b/2017/12.04.12.32.45
Última Atualização dos Metadados2018:06.04.02.28.04 (UTC) administrator
ISSN1051-0761
Chave de CitaçãoFonsecaAASXXMWA:2017:ClAnDr
TítuloClimatic and anthropogenic drivers of northern Amazon fires during the 2015–2016 El Ni~no event
Ano2017
Data de Acesso02 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho2633 KiB
2. Contextualização
Autor1 Fonseca, Marisa G.
2 Anderson, Liana O.
3 Arai, Egidio
4 Shimabukuro, Yosio Edemir
5 Xaud, Haron A. M.
6 Xaud, Maristela R.
7 Madani, Nima
8 Wagner, Fabien Hubert
9 Aragão, Luiz Eduardo Oliveira e Cruz de
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JGUP
4 8JMKD3MGP5W/3C9JJCQ
Grupo1
2
3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
4 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
5
6
7
8 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
9 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 Tropical Ecosystems and Environmental Sciences Laboratory (TREES)
2 Centro Nacional de Monitoramento e Alertas de Desastre Naturais (CEMADEN)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Embrapa
6 EMBRAPA
7 EMBRAPA
8 Instituto Nacional de Pesquisas Espaciais (INPE)
9 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1
2
3 egidio.arai@inpe.br
4 yosio.shimabukuro@inpe.br
5
6
7
8 fabien.wagner@inpe.br
9 luiz.aragao@inpe.br
RevistaEcological Applications
Volume27
Número8
Páginas2514-2527
Nota SecundáriaA1_INTERDISCIPLINAR A1_GEOCIÊNCIAS A1_CIÊNCIAS_BIOLÓGICAS_I A1_CIÊNCIAS_AMBIENTAIS A1_CIÊNCIAS_AGRÁRIAS_I A1_BIODIVERSIDADE A2_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA
Histórico (UTC)2017-12-04 12:32:45 :: simone -> administrator ::
2017-12-04 12:32:46 :: administrator -> simone :: 2017
2017-12-04 12:35:43 :: simone -> administrator :: 2017
2018-06-04 02:28:04 :: administrator -> simone :: 2017
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-Chaveanthropogenic ignition
climate
fire modeling
hot pixels
machine learning
multivariate ENSO index
savannas
tropical forests
ResumoThe strong El Nino Southern Oscillation (ENSO) event that occurred in 2015 ~ 2016 caused extreme drought in the northern Brazilian Amazon, especially in the state of Roraima, increasing fire occurrence. Here we map the extent of precipitation and fire anomalies and quantify the effects of climatic and anthropogenic drivers on fire occurrence during the 20152016 dry season (from December 2015 to March 2016) in the state of Roraima. To achieve these objectives we first estimated the spatial pattern of precipitation anomalies, based on long-term data from the TRMM (Tropical Rainfall Measuring Mission), and the fire anomaly, based on MODIS (Moderate Resolution Imaging Spectroradiometer) active fire detections during the referred period. Then, we integrated climatic and anthropogenic drivers in a Maximum Entropy (MaxEnt) model to quantify fire probability, assessing (1) the model accuracy during the 20152016 and the 20162017 dry seasons; (2) the relative importance of each predictor variable on the model predictive performance; and (3) the response curves, showing how each environmental variable affects the fire probability. Approximately 59% (132,900 km2 ) of the study area was exposed to precipitation anomalies ≤1 standard deviation (SD) in January and ~48% (~106,800 km2 ) in March. About 38% (86,200 km2 ) of the study area experienced fire anomalies ≥1 SD in at least one month between December 2015 and March 2016. The distance to roads and the direct ENSO effect on fire occurrence were the two most influential variables on model predictive performance. Despite the improvement of governmental actions of fire prevention and firefighting in Roraima since the last intense ENSO event (19971998), we show that fire still gets out of control in the state during extreme drought events. Our results indicate that if no prevention actions are undertaken, future road network expansion and a climate-induced increase in water stress will amplify fire occurrence in the northern Amazon, even in its humid dense forests. As an additional outcome of our analysis, we conclude that the model and the data we used may help to guide on-the-ground fire-prevention actions and firefighting planning and therefore minimize fire-related ecosystems degradation, economic losses and carbon emissions in Roraima.
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34P/3Q5RJG5
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34P/3Q5RJG5
Idiomaen
Arquivo AlvoFonseca_et_al-2017-Ecological_Applications.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
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Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.13.21.11 2
sid.inpe.br/mtc-m21/2012/07.13.14.45.03 2
DivulgaçãoWEBSCI; PORTALCAPES.
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel doi e-mailaddress format isbn label lineage mark mirrorrepository month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readpermission rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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