Spatial pattern and mapping fire risk occurrence at natural lands of Lorestan province

uantification of wild fire characteristics is believed to be the main purpose of spotting fire spatial distribution. In the current study، we detected distribution pattern of all main fire events in the natural areas of Lorestan province over past six years. To do that، physiographic factors as well as applied features were come into consideration. Quadrat Analysis، Nearest Neighbor Analysis and Ripley''s K function were applied for distribution allocation of fire spots and Kernel Estimation was used to outline areas with high fire risk. The highest fire frequencies were detected on the southern and south-western aspects with 1300-1700 meter above sea level elevation، and on 10-20% slopes. Forests with average coverage (36%) and rangelands with average coverage (25%) were affected most by the wild fires. All three distribution analysis methods (best elucidated by Ripley''s K function at different map scales)، showed a clumped pattern for fire spreading behavior in the province. Finally، based on Kernel Estimation function، a fire hazard map was produced، which would be a proper guide in natural area management.