The drivers of fire in the Caatinga Biome in Brazil

Martins, Suelem Farias Soares; dos Santos, Alex Mota; Silva, Carlos Fabricio Assunção da; Rudke, Anderson Paulo; Alvarado, Swanni T.; Melo, José Lucas da Silva

doi:10.1016/j.foreco.2024.122260

Forest Ecology and Management

2024

DOI: 10.1016/j.foreco.2024.122260

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The drivers of fire in the Caatinga Biome in Brazil

Suelem Farias Soares Martins,

Alex Mota dos Santos,

Carlos Fabricio Assunção da Silva

et al.

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2024

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Mapping Burned Area in the Caatinga Biome: Employing Deep Learning Techniques

Franca Rocha,

Vasconcelos,

Duverger

et al. 2024

Fire

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The semi-arid Caatinga biome is particularly susceptible to fire dynamics. Periodic droughts amplify fire risks, while anthropogenic activities such as agriculture, pasture expansion, and land-clearing significantly contribute to the prevalence of fires. This research aims to evaluate the effectiveness of a fire detection model and analyze the spatial and temporal patterns of burned areas, providing essential insights for fire management and prevention strategies. Utilizing deep neural network (DNN) models, we mapped burned areas across the Caatinga biome from 1985 to 2023, based on Landsat-derived annual quality mosaics and minimum NBR values. Over the 38-year period, the model classified 10.9 Mha (12.7% of the Caatinga) as burned, with an average annual burned area of approximately 0.5 Mha (0.56%). The peak burned area reached 0.89 Mha in 2021. Fire scars varied significantly, ranging from 0.18 Mha in 1985 to substantial fluctuations in subsequent years. The most affected vegetation type was savanna, with 9.8 Mha burned, while forests experienced only 0.28 Mha of burning. October emerged as the month with the highest fire activity, accounting for 7266 hectares. These findings underscore the complex interplay of climatic and anthropogenic factors, highlighting the urgent need for effective fire management strategies.

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Mapping Burned Area in the Caatinga Biome: Employing Deep Learning Techniques

Franca Rocha,

Vasconcelos,

Duverger

et al. 2024

Fire

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The drivers of fire in the Caatinga Biome in Brazil

Cited by 1 publication

References 51 publications

Mapping Burned Area in the Caatinga Biome: Employing Deep Learning Techniques

Mapping Burned Area in the Caatinga Biome: Employing Deep Learning Techniques

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