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A Hierarchical Approach to Forest Planning

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We present a hierarchical approach for large-scale forest planning. It is based on solving an aggregate problem, which is of moderate size, at higher levels of derision. The results obtained lead to land allocations and input-output targets for the different zones of the forest. At a lower level of decision, based on the land allocation and input-output targets, each zone is modeled in a detailed way. These problems are again of moderate size. Consistency between the two levels of derision is preserved. The economic and algorithmic implications of this methodology approach are discussed. A test case is presented to show the feasibility of this approach. For. Sci 37(2):439-460.
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Keywords: Decision models; aggregation; linear and integer programming

Document Type: Journal Article

Affiliations: Department of Industrial Engineering, University of Chile, Republica 701, Casilla 2777, Santiago, Chile

Publication date: 1991-06-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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