2021
DOI: 10.1016/j.jenvman.2021.112310
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Forest fires and deforestation in the central Amazon: Effects of landscape and climate on spatial and temporal dynamics

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Cited by 57 publications
(28 citation statements)
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“…Because field assessment was outside the scope of the present study, dNBR was primarily used to represent burn severity for spatial an due to its frequent use in the literature and its association with approximate categorical severity levels predefined by the USGS [43]. dNBR was also used by dos Reis et al [19] to map burned areas in Amazonia using satellite imagery from Landsat 8 OLI. Severity categories defined by the USGS are as follows: enhanced regrowth (high), enhanced regrowth (low), unburned, low severity, moderate-low severity, moderate-high severity, and high severity.…”
Section: Burn Severity Analysismentioning
confidence: 99%
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“…Because field assessment was outside the scope of the present study, dNBR was primarily used to represent burn severity for spatial an due to its frequent use in the literature and its association with approximate categorical severity levels predefined by the USGS [43]. dNBR was also used by dos Reis et al [19] to map burned areas in Amazonia using satellite imagery from Landsat 8 OLI. Severity categories defined by the USGS are as follows: enhanced regrowth (high), enhanced regrowth (low), unburned, low severity, moderate-low severity, moderate-high severity, and high severity.…”
Section: Burn Severity Analysismentioning
confidence: 99%
“…Of fires that burned forest, about 7% also occurred on Recently Deforested areas. Dos Reis et al [19] notes a link between deforestation and fire occurrence in central Amazonia.…”
Section: Frequency and Seasonality By Fire Typementioning
confidence: 99%
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“…Furthermore, elevated anthropogenic disturbances result in elevated fire dynamics. This finding has been borne by a body of literature (De Andrade et al, 2020;Dos Reis et al, 2021). Arguably, composite datasets such as the global human modification index (which is based on a cumulative measure of human influence based on eight global human pressures), including road networks (Venter et al, 2016) too can be used for identifying areas at an elevated risk of fires across the Amazonian biome and inform conservation pathways as done by Singh & Yan (2021).…”
Section: Conservation Implications Of the Research Findingsmentioning
confidence: 99%
“…Fires following deforestation to expand agriculture and livestock production as well as the implementation of large infrastructure such as road networks, mining activities, river dams for hydropower generation and urban footprints increased unprecedently in the Amazon basin during the last decades (Davidson et al, 2012;Aragão et al, 2018). Especially during severe hydroclimatic droughts, fires can escape, accidentally or intentionally, into adjacent terrafirme forests (Alencar et al, 2015;Barlow et al, 2020;Brando et al, 2020) and even floodplain forests (Reis et al, 2021), both outside and within protected areas (Nepstad et al, 2006;Silva et al, 2021). This occurs mainly towards the end of the dry season due to the cumulative effect of water deficit, which may expand into the wet season in regions influenced by El Niño (Nepstad et al, 2004;Schöngart et al, 2004;Aragão et al, 2007;Alencar et al, 2015).…”
Section: Introductionmentioning
confidence: 99%