Field data collection has been completed in two fires over the past two summers (the 2000 Cerro Grande in NM and the 2000 Hi Meadow in CO) and a third fire (2002 Hayman in CO) has been selected for sampling in summer 2003. Multiple regression models developed from the Cerro Grande landscape to predict fire severity (percent scorch and consumption), exotic abundance (relative cover), and fuelbed flammability (predicted flame length) have fair explanatory power (adjusted R2=0.34, 0.51, and 0.64, respectively).
Significant (p<0.05) predictors of Cerro Grande fire severity were mean tree diameter and fuel treatments involving prescribed fire: both had a moderating influence. Thin-only fuel treatments were associated with higher fire severity, but not significantly. Fire severity was a significant predictor of exotic abundance, along with aspect and an interaction between slope steepness and soil nitrogen. Pre- and post-fire treatments were not significant as predictors of exotic abundance, but were included in the set of most informative models: the association was negative with prescribed burning and post-fire seeding, but positive with thinning. Post-fire flammability increased significantly with sample date (i.e., seasonal curing) and fuelbed depth, and decreased significantly with fire severity and cover of native plant species. Cover of seeded and exotic species were associated with greater flammability, but not significantly. We will compare and contrast these trends with those found in the Hi Meadow fire.
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