Spatial modelling of deforestation-related factors in the Brazilian semi-arid biome

Silva, Carlos Fabrício Assunção da; Santos, Alex Mota dos; Melo, Silas Nogueira de; Rudke, Anderson Paulo; Almeida, Pedro Monteiro de

doi:10.1080/00207233.2022.2099109

Cited by 3 publications

(3 citation statements)

References 77 publications

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“…At the beginning of colonization, there was an intense exploitation of Pau-Brasil (Paubrasilia echinata), a native and endemic species of the Brazilian Atlantic Forest that was officially included in the list of endangered species in 1992 (BASTOS et al, 2022). After that, the deforestation process was intensified due to large-scale agricultural activities (for example, cultivation of corn, wheat, soybeans, and coffee), cattle breeding, forestry, mining, energy production (construction of large dams for hydroelectric power production and sugarcane cultivation for ethanol production), and others (RUDKE et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…Despite this, the pattern of deforestation of the Atlantic Forest is not uniform, as there are different stages of exploitation of the vegetation. In this sense, according to Metzger and Sodhi (2009), the Atlantic Forest region includes some communities that live in different socioeconomic conditions, from large urban areas (such as metropolitan regions of São Paulo and Rio de Janeiro) to rural regions, especially in the Northeast and Southeast regions of the Thus, spatial statistics methods (e.g., Spatial Autocorrelation Models and Spatial Regression) have been presenting great robustness in helping to identify deforestation drivers (TRIGUEIRO et al, 2020;SANTOS et al, 2021;SILVA et al, 2022). An example of such application is the method based on Geographically Weighted Regression (GWR), which is one of the most widely used techniques to explore the relationship of spatial heterogeneity of datasets, that is, the relationship of dependencies of variables (LU et al, 2014;DAVIS et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Spatial analysis of deforestation factors in the Atlantic Forest Biome/Brazil

Guimarães,

Santos,

Silva

et al. 2023

GEOgrafias

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Deforestation is a phenomenon that generates social, environmental, and economic impacts and endangers the sustainability of natural resources. The Atlantic Forest is one of the most biodiverse and threatened biomes in the world. Despite its enormous importance, the Atlantic Forest is the most deforested region in Brazil since its European colonization. Therefore, given the relevance of identifying the drivers of deforestation in Brazilian biomes, the objective of this paper is to analyze the factors that conditioned deforestation in the Atlantic Forest Biome in Brazil between the years 2010 and 2020. Land use and land cover data and socioeconomic data processed in a Geographic Information System (GIS) environment were used, through correlation analysis and Geographic Weighted Regression (GWR). The covariates that presented the highest correlation values were the average number of cattle, area of temporary crops, and agricultural credit, with 0.708, 0.516, and 0.418 respectively. The GWR model presented an adjusted R² of 0.94, confirming the model's capability to explain 94% of the variations in deforestation. The variable ranching was the one that displayed the highest correlation with deforestation. In addition, the area under temporary crops and agricultural credit also had a significant influence on the occurrence of deforestation.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial analysis of deforestation factors in the Atlantic Forest Biome/Brazil

Guimarães,

Santos,

Silva

et al. 2023

GEOgrafias

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“…Currently, most fires in the Amazon are associated with two factors: land-use changes (conversion of forest to pasture or illegal logging) and extreme drought events [2,12]. While land use is shaped and diversified from the opening of highways (municipal, state and federal), the deforested areas are generally concentrated in regions closer to highways [13][14][15], as the proximity or access to the highway infrastructure facilitates the logistics of deforestation and timber outflow [15]. In this way, the influence of transportation infrastructure that favors displacement in the region and contributes to the flow of local production also facilitates illegal logging activities.…”

Section: Introductionmentioning

confidence: 99%

Highway Network and Fire Occurrence in Amazonian Indigenous Lands

et al. 2022

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The construction and expansion of highways aiming to improve the integration of the most isolated regions in Brazil facilitated the access to many inhabited areas in the Amazon biome, but had as a consequence assisted the degradation of many of these regions. Over the last two decades, we have observed in this biome a gradual diversification and intensification of land uses through vegetation loss and an increase in fire associated with deforestation and an increase in grazing areas. We used data from several active fires products derived from 14 different satellites, available on the Brazilian National Institute for Space Research (INPE). We evaluated the influence of highway infrastructure on fire occurrence inside and around Indigenous Lands (IL) located in the Brazilian Amazon biome, from 2008 to 2021. We classified 332 ILs into “cut by highways”, “without highways”, and “with highways in a 10 km buffer”. We performed: (a) the descriptive statistics of the fire occurrence by state, by season, and by type of land use and land cover (LULC) affected by fire; (b) the spatial distribution of the active fire density; and (c) a simple linear regression model between the fire occurrence and the IL area. Our results showed that in total, 16–46% of the fires occurred within the IL in most of the states, while the 10 km buffer was the region most affected by fire. We confirmed that in the last three years there was a significant increase in the number of active fires, representing anomalies in fire occurrence across the studied period. We discussed the result implications and the role of the highway network in environmental degradation inside and around the ILs located in the Brazilian Amazon.

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