Dynamics of active fire data and their relationship with fires in the areas of regularized indigenous lands in the Southern Amazon

Santos, Alex Mota dos; Silva, Carlos Fabrício Assunção da; Rudke, Anderson Paulo; Soares, Daniel de Oliveira

doi:10.1016/j.rsase.2021.100570

Cited by 12 publications

(16 citation statements)

References 59 publications

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“…This suggests that nearly one fifth of major fires inside or very near to indigenous borders may be considered 'spillover fires' , or fires used to manage agricultural land that escape into forest, and that the number of spillover fires is higher near indigenous territories. Results agree with those of Santos et al [48], which found that most fire outbreaks were located at the edges of indigenous lands in the state of Rhondonia, Brazil, and that the variation in the number of fires within indigenous lands was explained by the number of fires outside of them. Fonseca Morello et al [50] suggests that the relationship between fire occurrence and indigenous lands may be complex; they recorded a positive relationship between fire occurrence and area of indigenous lands within municipalities.…”

Section: Spatial Distance Analysis For Indigenous Territories and Pro...supporting

confidence: 92%

“…Grassland fire densities also had a ratio below one (0.2) for the 10 km buffers, and therefore did not suggest inhibition by indigenous territories at this distance. Some of this effect may be explained by the fact that Indigenous groups themselves have a well-established history of using fire [14,48,49].…”

Section: Spatial Distance Analysis For Indigenous Territories and Pro...mentioning

confidence: 99%

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An analysis of fire dynamics in and around indigenous territories and protected areas in a Brazilian agricultural frontier

Walker

Flores-Anderson

Villa

et al. 2022

Environ. Res. Lett.

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Sustainable land management is integral to conserving tropical ecosystems and reducing carbon emissions. Human-set fires are part of the land cover change process and are the most common driver of deforestation and carbon emissions in Amazonia. Analyzing the behavior of major fire events provides insight into the effectiveness of current protections. This study aims to quantify the role of Indigenous Territories and Protected Areas (ITPAs) in characterizing anthropogenic fire regimes over the 2020 fire season in Mato Grosso, Brazil. Because of the rapid rate of land cover change and lack of widespread ground validation data in the region, we used a combination of ESA’s Sentinel-5 Precursor Aerosol Index, NASA’s Visible Infrared Imaging Radiometer Suite, and high resolution Planet satellite imagery for the Monitoring of the Andean Amazon Project to analyze spatial and temporal patterns by fire type. ITPAs cover 25% of the study area’s land and contained approximately 20% of significant recorded fires in 2020. Recently deforested areas, forest, grassland, and cropland fires showed varying seasonality and lower frequencies inside ITPAs, but mean fire start dates for all fire types occurred in mid-September. Results suggest that the overall density of major fires is reduced in ITs. PAs only inhibit the density of crop or pastureland fires, but no major fires occurred past 10 km inside their borders. Burn severity of major fires had a weak relationship to distance from ITPAs for some fire types. This study highlights the advantages of near real-time data for individual fire events, provides further evidence of the effect of ITPAs on fire behavior, and demonstrates the importance of adequate protection strategies for mitigating fire activity.

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Section: Spatial Distance Analysis For Indigenous Territories and Pro...supporting

confidence: 92%

Section: Spatial Distance Analysis For Indigenous Territories and Pro...mentioning

confidence: 99%

An analysis of fire dynamics in and around indigenous territories and protected areas in a Brazilian agricultural frontier

Walker

Flores-Anderson

Villa

et al. 2022

Environ. Res. Lett.

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“…However, the other portions of the edge of the SILL are heavily exposed to anthropization in its surroundings and the area under indigenous protection is not supported in its entirety of its official extension. Santos et al (2021) also concluded that ILs act as a barrier to the spread of fire, they are essential to protect native vegetation in the Amazon and, when they are close to Conservation Units, they are more protected from fire from the properties in their surroundings.…”

Section: Resultsmentioning

confidence: 99%

Do indigenous territories sustain the standing Amazon forest? The case of the Sete de Setembro Indigenous Land

Jesus

Assis

Catojo

2022

Rev. Bras. Geog. Fis.

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This work presents a spatiotemporal analysis of deforestation and vegetation fires in the Sete de Setembro Indigenous Land (SSIL), located between the states of Rondônia and Mato Grosso, a region known as "Arc of Deforestation" in the Brazilian Legal Amazon. The distribution of the occurrence of fires and deforestation in the SSIL and its surroundings were evaluated, considering five buffer zones in relation to its perimeter: 1) Core: the innermost area of the SSIL; 2) internal buffer 0 to 5 km; 3) internal buffer 5 -10km; 4) external buffer 0 to 5 km; 5) external buffer 5 to 10 km. For the spatio-temporal analysis of forest fires, we considered the reference satellite data from 2000 to 2020 available at Queimadas Program. PRODES data were analyzed to quantify deforestation, considering the clear cut from 2008 onwards. Vegetation fires on SSLI occur predominantly on the borders and presented a considerable reduction since 2004, when the Action Plan for the Prevention and Control of Deforestation in the Legal Amazon (PPCDAm) was created. Less than 1% of SSLI has been clear cut since 2008; however, considering the Legal Amazon, there is a trend towards an increase in forest removal since 2018. This increase is mainly associated with cattle in the municipalities where SSLI is located. SSIL has been efficient in holding deforestation and fires in its interior, although it is exposed and vulnerable to anthropization in its surroundings, mainly resulting from the dense network of highways and roads in that region.

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“…VV; Transmitted-Vertically and Received-Vertically) in terms of where to incorporate the simultaneous orthogonal polarization component that allows the electric field to be equal to the vector sum of the H and V polarizations based on the phase difference (linearly, elliptically, or circularly) [17]. However, investigations of the interferometric coherence of different bands and polarizations in burned areas indicate a strong relationship of the severity of burning in a stable and dry environment, a situation that is appropriate to the seasonality of burning in the Amazon and needs to be investigated [17,[19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

“…In that sense, we use the C-band backscatter data from the Sentinel-1 sensor (with a center frequency of 5.405 GHz and a length of 5.0 cm over a 250 km swath and a high geometric resolution of 5 m by 20 m) to quantify and estimate the severity of burns. For this purpose, we used absolute and relative predictors, as well as the Radar Forest Degradation Index (RDFI) with C-band co-polarization (VV) and cross-polarization (VH), and length patterns (dB) of vegetation and burned areas, validating the accuracy by means of the Composite Burn Index (CBI) calculated from data collected in the field [18][19][20][21][22][23][24][25].…”

Section: Introductionmentioning

confidence: 99%

Burn Severity Assessment Using Sentinel-1 SAR in the Southeast Peruvian Amazon, a Case Study of Madre de Dios

Aguirre

Fidhel

Enciso

et al. 2022

Fire

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Fire is one of the significant drivers of vegetation loss and threat to Amazonian landscapes. It is estimated that fires cause about 30% of deforested areas, so the severity level is an important factor in determining the rate of vegetation recovery. Therefore, the application of remote sensing to detect fires and their severity is fundamental. Radar imagery has an advantage over optical imagery because radar can penetrate clouds, smoke, and rain and can see at night. This research presents algorithms for mapping the severity level of burns based on change detection from Sentinel-1 backscatter data in the southeastern Peruvian Amazon. Absolute, relative, and Radar Forest Degradation Index (RDFI) predictors were used through singular polarization length (dB) patterns (Vertical, Vertical-VV and Horizontal, Horizontal-HH) of vegetation and burned areas. The Composite Burn Index (CBI) determined the algorithms’ accuracy. The burn severity ratios used were estimated to be approximately 40% at the high level, 43% at the moderate level, and 17% at the low level. The validation dataset covers 384 locations representing the main areas affected by fires, showing the absolute and relative predictors of cross-polarization (k = 0.734) and RDFI (k = 0.799) as the most concordant in determining burn severity. Overall, the research determines that Sentinel-1 cross-polarized (VH) data has adequate accuracy for detecting and quantifying burns.

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Dynamics of active fire data and their relationship with fires in the areas of regularized indigenous lands in the Southern Amazon

Cited by 12 publications

References 59 publications

An analysis of fire dynamics in and around indigenous territories and protected areas in a Brazilian agricultural frontier

An analysis of fire dynamics in and around indigenous territories and protected areas in a Brazilian agricultural frontier

Do indigenous territories sustain the standing Amazon forest? The case of the Sete de Setembro Indigenous Land

Burn Severity Assessment Using Sentinel-1 SAR in the Southeast Peruvian Amazon, a Case Study of Madre de Dios

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