One of the major science gaps in U.S. wildfire policy is the lack of studies on the long-term benefits of hazardous fuel reduction and restoration programs. For instance, there is little information available to predict the impact of current fuel management and restoration on wildfire activity and whether these fuel reduction activities will meet expectations in terms of wildfire risk to social, ecological, and economic values on national forests. To address this gap, we built a new model that uses the Forest Vegetation Simulator Parallel Processing Extension and FSim large wildfire simulator model to simulate forest management on large landscapes (e.g., 1-5 million ha). We are using the model to analyze 50-year management scenarios where spatial treatment strategies and intensities are varied, and landscape response is measured in terms of future risk and avoided suppression costs. Here we present initial simulations and discuss future application of the model.