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Evaluating the performance and mapping of three fuel classification systems using Forest Inventory and Analysis surface fuel measurements

Posted date: September 26, 2013
Publication Year: 
2013
Authors: Keane II, Robert E.; Herynk, Jason M.; Toney, ChrisUrbanski, Shawn P.Lutes, Duncan C.; Ottmar, Roger D.
Publication Series: 
Scientific Journal (JRNL)
Source: Forest Ecology and Management. 305: 248-263.

Abstract

Fuel Loading Models (FLMs) and Fuel Characteristic Classification System (FCCSs) fuelbeds are used throughout wildland fire science and management to simplify fuel inputs into fire behavior and effects models, but they have yet to be thoroughly evaluated with field data. In this study, we used a large dataset of Forest Inventory and Analysis (FIA) surface fuel estimates (n = 13,138) to create a new fuel classification called Fuel Type Groups (FTGs) from FIA forest type groups, and then keyed an FLM, FCCS, and FTG class to each FIA plot based on fuel loadings and stand conditions. We then compared FIA sampled loadings to the keyed class loading values for four surface fuel components (duff, litter, fine woody debris, coarse woody debris) and to mapped FLM, FCCS, and FTG class loading values from spatial fuel products. We found poor performances (R2

Citation

Keane, Robert E.; Herynk, Jason M.; Toney, Chris; Urbanski, Shawn P.; Lutes, Duncan C.; Ottmar, Roger D. 2013. Evaluating the performance and mapping of three fuel classification systems using Forest Inventory and Analysis surface fuel measurements. Forest Ecology and Management. 305: 248-263.