Environmental and climatic Interconnections: Impacts of forest fires in the Mato Grosso region of the Amazon

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorState University of Mato Grosso (UNEMAT)-
Autor(es): dc.contributorUniversidade Federal de Mato Grosso do Sul (UFMS)-
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.creatordos Santos, Daniel Henrique-
Autor(es): dc.creatorRossi, Fernando Saragosa-
Autor(es): dc.creatorDella Silva, João Lucas-
Autor(es): dc.creatorPelissari, Tatiane Deoti-
Autor(es): dc.creatorLima, Mendelson-
Autor(es): dc.creatorTeodoro, Larissa Pereira Ribeiro-
Autor(es): dc.creatorTeodoro, Paulo Eduardo-
Autor(es): dc.creatorSilva Junior, Carlos Antonio da-
Data de aceite: dc.date.accessioned2025-08-21T22:25:14Z-
Data de disponibilização: dc.date.available2025-08-21T22:25:14Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2024-10-15-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1016/j.jsames.2024.105105-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/304827-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/304827-
Descrição: dc.descriptionWildfires in the Amazon biome of Mato Grosso cause extensive environmental, economic, and health damages, including biodiversity loss and high greenhouse gas emissions. This study used remote sensing to examine the relationship between fire severity and climatic factors, focusing on dNBR (Differenced Normalized Burn Ratio), precipitation, LST (Land Surface Temperature), SPI (Standardized Precipitation Index), NDVI (Normalized Difference Vegetation Index), and VCI (Vegetation Condition Index), analyzing data from 2001 to 2022. Statistical tests included Shapiro-Wilk, Tukey, regression kriging, Mann-Kendall for trend analysis, Pettitt for change points, and canonical variable tests. Regarding trends, only LST showed a significant trend starting in 2009, with the Northeast mesoregion showing the highest impact on temperature. dNBR correlated positively with NDVI and VCI, and negatively with precipitation and SPI. The northern mesoregion had a positive influence on dNBR and NDVI but negative for precipitation, SPI, and VCI. The southwestern mesoregion associated positively with dNBR and LST but negatively with the other variables. The Northeast and South-Central mesoregions showed positive correlations with most variables except dNBR and NDVI. These findings highlight the northern mesoregion's vulnerability due to its proximity to the central Amazon Forest and agri-cultural activity, indicating increased fire susceptibility with reduced humidity.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionState University of Mato Grosso (UNEMAT), Mato Grosso-
Descrição: dc.descriptionFederal University of Mato Grosso Do Sul (UFMS), Mato Grosso-
Descrição: dc.descriptionDepartment of Agronomy State University of São Paulo (UNESP), SP-
Descrição: dc.descriptionState University of Mato Grosso (UNEMAT) Department of Geography, Mato Grosso-
Descrição: dc.descriptionDepartment of Agronomy State University of São Paulo (UNESP), SP-
Descrição: dc.descriptionCAPES: 001-
Idioma: dc.languageen-
Relação: dc.relationJournal of South American Earth Sciences-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectEcoregion-
Palavras-chave: dc.subjectEnvironmental damages-
Palavras-chave: dc.subjectRemote sensing-
Palavras-chave: dc.subjectTrend analysis-
Título: dc.titleEnvironmental and climatic Interconnections: Impacts of forest fires in the Mato Grosso region of the Amazon-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.