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Dynamic Programming to Determine Optimum Levels of Growing Stock

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An important investment problem is to determine optimal levels of growing stock in even-aged stands during a rotation. Various models of marginal analysis have been used to obtain solutions. An alternative model, using dynamic programming, seems appropriate where the mensurational relationships or economic data indicate interdependence between growing stock levels. We developed a deterministic, one-dimensional, discrete dynamic program and tested it by using data from a publication in which marginal analysis was applied to loblolly pine timber stocking. We found dynamic programming to have analytic and computational advantages as a method of solving for optimal levels of growing stock.
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Document Type: Journal Article

Affiliations: Mathematician, Pacific Southwest Forest and Range Expt. Sta., Forest Service, U. S. Dept of Agric., Berkeley, Calif.

Publication date: 1968-09-01

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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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