This paper presents a new landscape management model using a simulated annealing approach. The model is capable of achieving target landscape structure, in the form of composition and configuration objectives, in a near optimal fashion by spatially and temporally scheduling treatment interventions. Management objectives and constraints are identified in an objective function. Penalty cost functions for each objective establish common non-monetary units, and a mechanism for making trade-offs among different objectives. Management strategies, as well as alternative solutions as combinations of treatment scheduling of each stand, are formulated around treatment regimes, including varying intensities of planting, precommercial thinning, commercial thinning, two-stage harvesting and clear-cutting.