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A hierarchical spatial framework for large-scale, long-term forest landscape planning is presented along with example policy analyses for a 560,000ha area of the Oregon Coast Range. The modeling framework suggests utilizing the detail provided by satellite imagery to track forest vegetation condition and for representation of fine-scale features, such as riparian areas. Spatial data are then aggregated up to management units, where forest management decisions are simulated. Management units may also be aggregated into harvest blocks to closer emulate management behavior. Land allocations, subdivisions of landowner groups, can be used to represent different levels of management. A management unit may contain multiple land allocations, such as riparian management emphases that vary based on distance from the stream system. The management emphasis required by each land allocation is retained …