Understanding the trade-off between short-term and long-term consequences of fire impacts on ecosystems is needed before a comprehensive fuels management program can be implemented nationally. We are comparing three vegetation models that may be used to predict the effects of various fuel management treatments at seven locations in major U.S. fuel types. The models being implemented and evaluated are the Fire Effects Trade-off Model (FETM), the SIMulating vegetative Patterns and Processes at landscape scaLEs/ Multi-resource Analysis and Geographic Information System (SIMPPLLE/MAGIS), the Vegetation Disturbance Dynamics TooI/Tools for Exploratory Landscape Scenario Analyses (VDDT/TELSA), and SAFE Forests. We will evaluate the implementation of each model and estimate the uncertainty associated with predictions from the four models using simulation. This uncertainty is a component of the risk associated with a fuel management program. The model comparison will identify model components that are needed for a national strategic fire planning model. © University of Idaho 2000. Abstract reproduced by permission.