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A Distance-Independent Tree Model for Exotic Conifer Plantations in East Africa

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A simulation model of diameter increment and thinning for Cupressus lusitanica, Pinus patula, and Pinus radiata growing in Kenya, Tanzania, Uganda, and Malawi is presented. The diameter distribution is defined by a vector of diameters corresponding to fixed cumulative probability points. Increment of the diameter vector is a function of basal area relative to maximum basal area, diameter relative to dominant diameter, and height as a site-dependent index of age. A general algorithm for simulating thinning of the cumulative distribution is developed based upon the probability that a given stem will remain after thinning. Validation studies using permanent sample plot data for the 3 species show a standard deviation of percentage residuals for total volume prediction of 12-19 percent; they also show, through simulation of spacing experiments, that the model is accurate over a range of initial stockings from 120 to 1,400 stems/hectare. Forest Sci. 25:59-71.

Keywords: Diameter distribution; dominance; maximum basal area

Document Type: Journal Article

Affiliations: Research Officer at the Unit of Tropical Silviculture, Department of Forestry, Oxford University, South Parks Road, Oxford OX1 3RB, UK

Publication date: March 1, 1979

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

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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