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Predicting Individual Tree Mortality in Simulated Southern Pine Plantations

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Abstract:

A method is presented for mathematically identifying trees which have a high probability of succumbing. It is based on individual tree competition. Two tree parameters were tested against field data to see if either would predict individual tree mortality. The first was competition index (1), and the second was the ratio (R) between 1 and number of competing trees (n). The second proved the more useful predictor of potential mortality. The probability of death within 5 years was 0.61 for trees with R-values greater than 0.5 and only 0.08 for trees with R-values of less than 0.5. This method may be useful in stand simulation. Forest Sci. 18:213-217.

Keywords: Competition; stand simulation; tree growth and development

Document Type: Journal Article

Affiliations: Assist. Professor, Sch. of Forestry and Wildlife Mgmt., Louisiana State Univ. and Agr. and Mech. College, Baton Rouge 70803

Publication date: 1972-09-01

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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