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Estimation of Optimal Stocking Levels and Rotation Ages of Loblolly Pine

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Models are developed for estimating optimal growing stock levels and rotation ages for loblolly pine. Under a profit maximization goal, they provide for varying stumpage prices, stand ages, site indexes, stocking levels, alternative rates of return, and regeneration costs for two single-product objectives. Quality differential as expressed in stumpage prices is recognized. A system is also provided for determining optimal stocking levels at the same marginal rate of return as that selected for determining optimal rotation age. Using a loblolly pine growth study in the Southeast for the biological data, solutions of stocking levels at various alternative rates of return indicate that stocking standards for profit maximization are much less than levels which optimize physical production. Rotation age solutions indicated that rotations lengthened as the alternative rate of return is reduced, as the site index increased and as a quality differential is introduced. In general, the optimal rotation age is less flexible with changes in the variables affecting it than optimal stocking levels.
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Document Type: Journal Article

Affiliations: Branch Chief, Division of Timber Management Research, Forest Service, U.S. Dept. Agric., Washington, D.C.

Publication date: 1964-12-01

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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