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Integrated Forest Planning Across Multiple Ownerships and Decision Makers

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Social evaluation of public and private land-use planning of forests and rangelands is increasingly integrated across multiple land ownerships and resolved in a politicized forum of multiple decision makers. Multicriterial optimization models have limited utility for decision analysis in this environment as they must be formulated from the perspective of a single decision maker. A flexible integer programming model is demonstrated as a useful and appropriate tool to simulate and explore the collective options in a multiple ownership integrated planning (MOIP) problem. Multiple budget constraints are featured in this model as a vehicle by which resource contributions from both landowners and nonlandowners can be explicitly recognized. The hypothesis that MOIP problems define a positive sum game is supported by analyzing the data set of published national forest plan Draft Environmental Impact Statements (DEIS) for California data set. For. Sci. 37(1):200-226.
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Keywords: Forest planning; hierarchical planning; integer programming; optimization

Document Type: Journal Article

Affiliations: Graduate Research Assistant, Department of Forestry and Resource Management, University of California, Berkeley, CA

Publication date: 1991-03-01

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    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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