INTERNATIONAL JOURNAL OF GLOBAL WARMING, no.2, 2024 (SCI-Expanded)
This study models forest fire risks and predicts fire distribution using GIS in Izar & egrave;ne Forest, Ouazzane Province, Morocco. The A. Dagorne and Y. Duche model, combined with indices for topography, vegetative flammability, and human activity, was weighted and calibrated, achieving 91.67% accuracy. The maps showed 34% of the area, mainly the western, northwest, southern, and South Eastern regions, had extremely high fire risk, while 26% had low susceptibility. Additionally, 56% of the road network and 68% of the population were in high-risk areas, underscoring the need for effective forest fire management planning.