A JFSP Fire Science Exchange Network
Bringing People Together & Sharing Knowledge in the Northern Rockies

Analysis of algorithms for predicting canopy fuel

Author(s): Kathy L. Gray, Elizabeth D. Reinhardt
Year Published: 2004

We compared observed canopy fuel characteristics with those predicted by existing biomass algorithms. We specifically examined the accuracy of the biomass equations developed by Brown (1978. We used destructively sampled data obtained at 5 different study areas. We compared predicted and observed quantities of foliage and crown biomass for individual trees in our study sites for ponderosa pine, Douglas fir, and lodgepole pine. In addition, we observed the appropriateness of using similar species to predict canopy fuel characteristics when the actual species is not accounted for using Brown's equations. For example, we used western red cedar in place of incense cedar and grand fir instead of white fir. We also evaluated the importance of tree dominance as a predictor of crown biomass. Adjustments were made to Brown's equations in order to improve the predictability of the equations for future use. We also compared plot totals to assess the usefulness of the method for predicting stand level canopy fuel characteristics.

Citation: Gray, Kathy L.; Reinhardt, Elizabeth D. 2004. Analysis of algorithms for predicting canopy fuel. In: Proceedings of the 2nd International Wildland Fire Ecology and Fire Management Congress and the 5th Symposium on fire and forest meteorology; 2003 November 16-20. American Meteorological Society.
Topic(s): Fuels, Fuel Descriptions, Fuels Inventory & Monitoring
Ecosystem(s): Montane wet mixed-conifer forest, Montane dry mixed-conifer forest
Document Type: Conference Proceedings
NRFSN number: 10958
FRAMES RCS number: 2389
Record updated: Jun 20, 2018