We propose a 3-year project, which includes 1.25 year to integrate existing fire behavior and optimization models into a system for spatially scheduling treatments to maintain effective fire and non-fire fuels treatments at landscape scales, .5 year to test the system on two areas with actual data, and 1.25 year to deliver the system to end users. Land managers are often faced with various obstacles when maintaining effective fuel treatments, such as limited budget and resources, narrow windows for effective prescribed burning conditions, acceptable smoke dispersion, and resource effects. Various modeling systems provide guidance but to address the problem most effectively involves the use of several diverse systems. There is a critical need to merge these systems into one decision support system that streamlines analyses for identifying where and how to treat to maintain desired fuel reduction goals, while meeting given resource and operational constraints. We propose to integrate existing fire behavior, vegetation simulation, and land management planning tools into a system that optimizes maintenance fuel treatment locations in time and space under given resource constraints, and that is immediately deliverable to end users. We will modify the Simulated Annealing algorithm in MAGIS, and use FEE-FVS and FlamMap to predict fuel reduction effects of alternative maintenance treatment locations. This decision support system will be integrated into the current MAGIS framework, so it will utilize the graphical user interfaces, as well as the MAGIS resource scheduling algorithms to evaluate the economic and operational feasibility of fuel treatments. To validate the decision support system, we will develop a spatial and temporal fuel treatments maintenance schedules for the Bitterroot Front Landscape and the Butte North area, and conduct a sensitivity analysis. To ensure that our results are useful to field managers, we will present our results at four to six meetings and two workshops with managers. We will also develop web-based tutorials and an electronic bulletin board for users to share information and ideas. Based on the MAGIS graphical user interfaces, this easy-to-use decision support system will greatly help managers to make better decisions about their fuel management by providing the best spatial and temporal locations of fuel treatments. Our research thus addresses Task 3 of JFSP AFP 2006-3, 'Proposals are sought that develop guidance for maintaining effective fire and non-fire fuels treatments, with the aim of supporting long-term fuels management.'