Quantification of Influential Surface Fuel Parameters in Fire-Prone Ecosystems of the Netherlands

Changing climate conditions in northwest Europe present an increasing wildfire risk in the Netherlands. Focus on fuels monitoring in this region is not as extensive as it is in the United States. Accurate estimation of biomass fuel loading is integral to prevention of wildfires which pose a significant risk to both human lives and property. This research project attempted to create predictive models for three major fuel categories (litter/duff, shrub, and downed woody material). Reduction of the number of parameters to measure would streamline the process of fuel load estimation by reducing th... Mehr ...