Developing custom fire behavior fuel models from ecologically complex fuel structures for upper Atlantic Coastal Plain forests

Evaluating fuel complexes for fire hazard mitigation planning in the southeastern United States

“…For example, the median fuelbeds were used along with individual plot fuelbeds in a separate component of this project to map SFB across the SRS landscape in order to prioritize areas where fuel treatments should be located . In addition, Hollingsworth et al (2012) used data-derived FCCS fuelbeds to create custom fuel models (Parresol et al, 2012b) as a basis for running FlamMap. They compared the outputs of flame length, rate of spread, crown fire activity and burn probability to those produced by using standard fuel models assigned to the landscape by LANDFIRE data (Reeves et al, 2009;Scott and Burgan, 2005) and Southern Wildfire Risk Assessment data (Buckley et al, 2006;Anderson, 1982).…”

Fuel treatment effectiveness in forests of the upper Atlantic Coastal Plain – An evaluation at two spatial scales

“…Parresol et al (2012b) used a statistical imputation method to probabilistically assign fuel characteristics from the plot data to delineated stands using forest type, age, site quality, basal area, and recent fire history. This method was employed to evaluate the potential amplitude of the SRS to have a greater range of fuel characteristics (i.e., surface fuel loading and depth) than is represented by using stand averages.…”

Revisiting Wildland Fire Fuel Quantification Methods: The Challenge of Understanding a Dynamic, Biotic Entity

“…Variation within classes can be accounted for with the addition of intermediate classes [67,97]; however, large numbers of classes can provide additional challenges, such as difficulty in identifying or verifying them in the field [41]. This is a particular issue where fuels change rapidly post fire-fixed classifications have limited potential to represent the continuum of change that occurs as a forest recovers.…”