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Some Recent Japanese Theories of Yield-Density Relationships and their Application to Monterey Pine Plantations

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Abstract:

Stand growth is viewed in terms of a simple biological model which will allow the forester to relate density and yield at any stage of stand development. Empirically determined size-density relationships of forest stands, and theoretical derivations of these relationships, have been developed by Japanese scientists and are reviewed here. These include the 3/2 power law for self-thinning to identify the maximum average tree size density relationship of a species; the reciprocal yield law for defining yield as a function of density at any stage of stand development; and the relationship between stand height and the reciprocal yield coefficients. The regions of random and competition related mortality are identified and separated. An application of these density dependent yield functions is given for Pinus radiata D. Don plantations. FOREST SCI. 23:517-534.

Keywords: Pinus radiata; Stand density; competition mortality; yield forecasting

Document Type: Journal Article

Affiliations: Statistical Programmer Analyst (currently on study leave at the University of Washington), Western Forestry Research Center, Weyerhaeuser Company, Centralia WA 98531

Publication date: 1977-12-01

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.

    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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