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Maximum Average Annual Volume for Managed Stands

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For stand management when faced with uncertainties in tree growth, mortality, and response to stand treatments, average annual merchantable volume recovery is maximized over an unending time horizon. Average tree size and stocking density indicate stand condition and transition probabilites describe stand changes in the reformulation of an earlier Markov decision process approach. Management actions to achieve maximal productivity are associated with stand conditions. Varying the management options gives rise to a stand production possibility chart. Solution of a system of equations gives the expected total discounted costs of implementing volume maximizing policies, thus allowing the manager to evaluate volume-cost tradeoffs. Applications to Douglas-fir stands are used for illustration. Forest Sci. 22:69-81.

Keywords: decisionmaking under uncertainty; probabilistic models; timber production

Document Type: Journal Article

Affiliations: Assistant Professor, Dept. of Statistics, Oregon State University, Corvallis OR 97331

Publication date: 1976-03-01

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.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 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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