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A Bivariate Model for Growth and Yield Prediction

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Abstract:

An application of Johnson's SBB distribution to growth and yield prediction is presented. The mathematical techniques of describing stand structure and projecting yield for thinned and unthinned stands of loblolly pine in plantations are detailed. In addition, the assumptions employed in applying the techniques are discussed. The advantage of the bivariate approach to modeling thinning decisions is that height enters the removal decisions for low thinning which is more reflective of the decision process involved in an operational thinning. Forest Sci. 31:237-247.

Keywords: Johnson's SBB distribution; thinning

Document Type: Journal Article

Affiliations: Champion International Post-doctoral Fellow, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061

Publication date: March 1, 1985

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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.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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