Abstract
The objective of the study was to analyze the occurrence of forest fires in a conservation unit (CU) of the Brazilian savannah using remote sensing techniques and statistical methods developed for spatial punctual processes. To conduct the spatial analysis of fires, fire polygons mapped using Landsat 8 satellite images were used. The fires were considered into size classes to better illustrate the spatial patterns. The analysis of the spatial distribution of fires utilized Ripley's K-function, in addition to the Kcross function to verify spatial interaction. The results show that the year 2015 had the highest number of fires and burned area. Smaller fires represent a greater number of occurrences, located mostly on CU boundaries. The spatial distribution of forest fires is not random and can cluster on a scale of approximately 6 km. There is a strong spatial interaction between forest fires and traditional communities, particularly with fires smaller than 100 hectares. However, these communities are not responsible for large fires. These results contribute to better-targeted forest fire prevention and combat policies, serving as management tools for the protected area.
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“[…] Conflict management and mediation instrument, of a transitional nature, to be endorsed between the Chico Mendes Institute and traditional populations residing in conservation units where their presence is not permitted or is in disagreement with management instruments. The objetive is to ensure the conservation of biodiversity and the socioeconomic and cultural characteristics of the social groups involved”. ICMBio Normative Instruction No. 26 of July 4, 2012.
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Ronie Silva Juvanhol: Conceptualization, Investigation, Formal analys, Writing – Review & Editing, Visualization, Supervision. Helbecy Cristino Paraná de Sousa: Methodology, Software, Formal analys, Data Curation, Writing – Original Draft. José Wellington Batista Lopes: Writing – Review & Editing, Supervision.
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Juvanhol, R.S., de Sousa, H.C.P. & Lopes, J.W.B. Analyzing forest fires in a brazilian savannah conservation unit using remote sensing and statistical methods: spatial patterns and interaction. Stoch Environ Res Risk Assess (2024). https://doi.org/10.1007/s00477-024-02708-0
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DOI: https://doi.org/10.1007/s00477-024-02708-0