Forest fires are becoming increasingly frequent, leading to the loss of human life, ecosystem fragmentation, and higher greenhouse gas (GHG) emissions. Therefore, this study aims to identify, quantify and classify the risk levels of forest fires in the District Headquarters of the municipality of Cachoeiro de Itapemirim (Brazil/ES). To this end, the Analytic Hierarchy Process (AHP) method was used to prioritize the factors contributing to fire risk. Three models were identified: R1 included natural factors, R2 biological and socioeconomic factor and R3 the Months Without Rain. The sum of area occupied by moderate, high, and very high fire risk levels enabled the identification of greater fire risk zonification in each model, being 18,97% of the total area for R1, 59,81% for R2, and 71,41% for R3. These results highlight the significant influence of human intervention and climatic conditions on forest fire risk.
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Coutinho et al. (2025) studied this question.
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