1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | mtc-m21d.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W34T/492TTC5 |
Repositório | sid.inpe.br/mtc-m21d/2023/05.02.12.05 (acesso restrito) |
Última Atualização | 2023:05.02.12.05.02 (UTC) simone |
Repositório de Metadados | sid.inpe.br/mtc-m21d/2023/05.02.12.05.02 |
Última Atualização dos Metadados | 2024:01.02.17.16.42 (UTC) administrator |
DOI | 10.3389/ffgc.2023.1107417 |
ISSN | 2624-893X |
Chave de Citação | FerreiraCaBaSiSeArAn:2023:AsFiHa |
Título | Assessment of fire hazard in Southwestern Amazon |
Ano | 2023 |
Mês | Mar. |
Data de Acesso | 11 maio 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 2536 KiB |
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2. Contextualização | |
Autor | 1 Ferreira, Igor José Malfetoni 2 Campanharo, Wesley Augusto 3 Barbosa, Maria Lúcia Ferreira 4 Silva, Sonaira S. da 5 Selaya, Galia 6 Aragão, Luiz Eduardo Oliveira e Cruz de 7 Anderson, Liana O. |
Grupo | 1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 2 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 3 SER-SRE-DIPGR-INPE-MCTI-GOV-BR 4 5 6 DIOTG-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 Universidade Federal do Acre (UFAC) 5 ECOS Consult 6 Instituto Nacional de Pesquisas Espaciais (INPE) 7 Centro Nacional de Monitoramento de Desastres Naturais (CEMADEN) |
Endereço de e-Mail do Autor | 1 igor_malfetoni@hotmail.com 2 wesley.campanharo@gmail.com 3 malucsp@gmail.com 4 5 6 luiz.aragao@inpe.br |
Revista | Frontiers in Forests and Global Change |
Volume | 6 |
Páginas | e1107417 |
Histórico (UTC) | 2023-05-02 12:05:59 :: simone -> administrator :: 2023 2024-01-02 17:16:42 :: administrator -> simone :: 2023 |
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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 |
Palavras-Chave | fire activity fire drivers deforestation climate change human-modified landscape machine learning |
Resumo | Fires are among the main drivers of forest degradation in Amazonia, causing multiple socioeconomic and environmental damages. Although human-ignited sources account for most of the fire events in Amazonia, extended droughts may magnify their occurrence and propagation. The southwestern Amazonia, a transnational region shared by Brazil, Peru, and Bolivia and known as the MAP region, has been articulating coordinated actions to prevent disasters, including fire, to reduce their negative impacts. Therefore, to understand the fire patterns in the MAP region, we investigated their main drivers and the changes in the suitability of fire occurrence for the years 2005, 2010, 2016, and 2020. We used a maximum entropy (MaxEnt) model approach based on active fire data from satellites, climatic data, and land use and land cover mapping to spatially quantify the suitability of fire occurrence and its drivers. We used the year 2015 to calibrate the models. For climatic data and active fire count, we only considered grid cells with active fire count over the third quartile. All our models had a satisfactory performance, with values of the area under the curve (AUC) above 0.75 and p < 0.05. Additionally, all models showed sensitivity rates higher than 0.8 and false positive rates below 0.25. We estimated that, on average, 38.5% of the study region had suitable conditions for fire occurrence during the study period. Most of the fire-prone areas belong to Acre, representing approximately 74% of the entire MAP region. The percentage of deforested areas, productive lands, forest edges, and high temperatures were the main drivers of fire occurrence in southwestern Amazonia, indicating the high vulnerability of fragmented landscapes extreme climatic conditions to fire occurrence. We observed that the modeling approach based on Maxint is useful for useful for evaluating the implications of climatic and anthropogenic variables on fire distribution. Furthermore, because the model can be easily employed to predict suitable and non-suitable locations for fire occurrence, it can to prevent potential impacts associated with large-scale wildfire in the future at regional levels. |
Área | SRE |
Arranjo 1 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Assessment of fire... |
Arranjo 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Assessment of fire... |
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 | |
Idioma | en |
Arquivo Alvo | ffgc-06-1107417.pdf |
Grupo de Usuários | simone |
Grupo de Leitores | administrator simone |
Visibilidade | shown |
Permissão de Leitura | deny from all and allow from 150.163 |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3F3NU5S 8JMKD3MGPCW/46KUATE |
Lista de Itens Citando | sid.inpe.br/bibdigital/2022/04.03.22.23 1 sid.inpe.br/bibdigital/2013/10.18.22.34 1 |
Divulgação | WEBSCI; PORTALCAPES; SCOPUS. |
Acervo Hospedeiro | urlib.net/www/2021/06.04.03.40 |
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6. Notas | |
Campos Vazios | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
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