Avaliação de índices de perigo de incêndio para a ecorregião da Chapada Diamantina

Abstract

The vegetation and fauna of Chapada Diamantina region, in Brazil, have been suffering serious disturbances due to frequent wildfire occurrences. Fire indexes are mathematical equations that use meteorological data to calculate the probability of a fire occurrence in a determined area. The Angstron, Nesterov and Telicyn indexes and the Fórmula de Monte Alegre Alterada are commomly applied to the Brazilian areas. Therefore, the objective of this paper is to evaluate the fire index that is better suited for the conditions of Chapada Diamantina National Park. Diagnostic tests and Heidke Skill Score were calculated to compare the indexes. According to the results obtained in this study, the most efficient index was the Angstron Index. Although, the Angstron Index had the best performance among the indexes tested, it is not a good fire index for the Chapada Diamantina National Park. In order to obtain precise fire predictions, it is of great importance that climate, topographic, and vegetation data are collected and cataloged by sub-region, so that other indexes can be tested, adapted or created for this region.