Wildland fire is a major disturbance agent that has shaped the biotic landscapes throughout time. The amount and duration of the heat determined by the availability of the fuels to consume is the ultimate driving force that causes a widespread range of environmental responses and social political consequences. Since the majority of consumable biomass in boreal forest ecosystems is generally contained in the forest floor, the ability to predict ignition potential and consumability of this fuelbed category will be a critical requirement in modeling fire effects. A study was initiated in 1990 to begin collecting forest floor reduction data and to develop a forest floor consumption algorithm that will be implemented into Consume 3.0 (Joint Fire Science Program 1999) for use in the boreal forest types. The objective of this study is to test the algorithm using the measured data from the Large Black Spruce and Upper Black Spruce Frostflre sites. Six prescribed burns during 1990, 1992, and 1993 were monitored for forest floor reduction in the boreal forest type in Alaska. In addition, forest floor reduction was measured at two sites for the Frostfire Project in 1999. After completing regression analysis using the measured data from the six 1990-1993 research burns, the best predictive equation, Y=4.946-O.1796X1+O.1112X2 (r2=0.94) used 10-hour fuel moisture (X1) and pre-burn forest floor depth (X2) as independent variables. The algorithm under-predicted the Large Black Spruce Frostfire site by 0.6 inches and the Upper Black Spruce Frostfire site by 0.1 inch. The forest floor reduction predictive equation developed for the boreal forest types relies on the 10-hour fuel moisture content and preburn forest floor depth. The 10-hour fuel moisture relates to the ignitability of the forest floor. The preburn forest floor depth relates to the inherent relationship between forest floor reduction and preburn depth. Intuitively, the algorithm seems sound, however, detailed forest floor type and forest floor moisture content over time will need to be thoroughly analyzed to determine the forest floor moisture threshold at which this algorithm will adequately operate. The Frostfire data should assist us in completing the algorithm development. As additional analysis is completed and new data points are collected, the algorithm will be adjusted to be more robust for more sites in Alaska. Literature Cited Joint Fire Science Program. 1999. "Joint Fire Science program First Annual Report February 1999. "[http://www.nifc.gov/jointfiresci/98prog.htm].