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Abstract
ABSTRACT Understanding the occurrence and causes of wildfires in relation to fuels, weather, and geography allows fire management to assess fire risk accurately and direct mitigation efforts to reduce specific dangers. This study used the FlamMap tool to simulate wildfire dynamics under various environmental conditions. Spatial data on land cover were used to categorise fuel types, with FlamMap integrating these models for accurate fire behaviour predictions. Critical input factors included fuel loads, topography, wind, and weather data, gathered through field surveys and GIS software. The study area was categorised into 15 fuel models, revealing dense shrubland and thuja wooded shrub as high-risk areas because of their significant fuel loads. The Fire Danger Index was developed to assess and categorise fire risk levels across the landscape. Results indicated significant variations in fire behaviour. Dense shrublands and mixed pine-thuja forests posed substantial fire hazards. Grasslands and agricultural lands exhibited lower risks.
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