4.5 Article

Fire foci dynamics and their relationship with socioenvironmental factors and meteorological systems in the state of Alagoas, Northeast Brazil

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出版社

SPRINGER
DOI: 10.1007/s10661-020-08588-5

关键词

Crop production; Environmental satellites; Multivariate analysis

资金

  1. National Council of Scientific and Technological Development (CNPq) [309681/2019-7]
  2. CNPq [424605/2018-0, 28/2018, 161023/2019-3]

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The objective is to evaluate the fire foci dynamics via environmental satellites and their relationship with socioenvironmental factors and meteorological systems in the state of Alagoas, Brazil. Data considered the period between 2000 and 2017 and was obtained from CPTEC/INPE. Annual and monthly analyzes were performed based on descriptive, exploratory (boxplot) and multivariate statistics analyzes (cluster analysis (CA), principal component analysis (PCA)) and Poisson regression models (based on 2000 and 2010 census data). CA based on the Ward method identified five fire foci homogeneous groups (G(1)to G(5)), whileCoruripedid not classify within any group (NA); therefore, the CA technique was consistent (CCC = 0.772). Group G(1)is found in all regions of Alagoas, while G(2), G(5), and NA groups are found inBaixo Sao Francisco, Litoral, andZona da Mataregions. Most fire foci were observed in theLitoralregion. Seasonally, the largest records were from October to December months for all groups, influenced by the sugarcane harvesting period. The G4 group andCoruripeaccounted for 60,767 foci (32.1%). The highest number of fire foci occurred in 2012 and 2015 (between 8000 and 9000 foci), caused by the action of the El Nino-Southern Oscillation. The Poisson regression showed that the dynamics of fire foci are directly associated with the Gini index and Human Development Index (models 1 and 3). Based on the PCA, the three components captured 78.8% of the total variance explained, and they were strongly influenced by the variables: population, GDP, and demographic density. The municipality of Maceio has the largest contribution from the fire foci, with values higher than 40%, and in PC1 and PC2 are related to urban densification and population growth.

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