Rocky Mountain Research Station Publications
RMRS Online Publication
RMRS-RP-96: Predicting fire severity using surface fuels and moisture
Sikkink, Pamela G.; Keane, Robert E. 2012. Predicting fire severity using surface fuels and moisture. Res. Pap. RMRS-RP-96. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 37 p.
Fire severity classifications have been used extensively in fire management over the last 30 years to describe specific environmental or ecological impacts of fire on fuels, vegetation, wildlife, and soils in recently burned areas. New fire severity classifications need to be more objective, predictive, and ultimately more useful to fire management and planning. Our objectives were to (1) quantify the relationships between fuel loading and moisture characteristics of surface fuels and the temperature and energy produced during combustion, and (2) to produce a classification that summarized these relationships into unique, realistic classes of fire severity. Using computer simulation, we created 115,280 synthetic fuel beds with diverse compositions and moisture conditions and burned them using computer simulation with the First Order Fire Effects Model (FOFEM). Using average fire intensity, fire residence time, total fuel consumed, depth of soil heating, and temperature in the top 1 cm of soil, we created a nine-group classification that separated fire severity classes based first on soil heating, second on intensity and fire time, and third on fuel consumed. Fuel beds were correctly placed into the nine fire severity classes 98% of the time using subsets of the synthetic fuel beds.
Keywords: computer simulation, fire effects, FOFEM, fuelbed, hierarchical clustering
About PDFs: For best results, do not open the PDF in your Web browser. Right-click on the PDF link to download the PDF file directly to your computer. Click here for more PDF help or order a printed copy of this publication.
PDF File Size: 3 MB
Predicting fire severity using surface fuels and moisture
Electronic Publish Date: September 5, 2012
Last Update: September 5, 2012
RMRS Publications | Order a publication | Contact Us