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Simulation of Forest Tree Mortality

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Abstract:

Several methods (discriminant analysis, Probit analysis, Logit analysis) were compared for the prediction of individual overstory tree mortality in northern hardwood stands in Wisconsin. A generalized form of the logistic equation provided the greatest discriminating power for predicting live and dead trees. Independent variables were tree diameter and diameter increment, competition index, and length of growth period. Forest Sci. 22:438-444.

Keywords: Logistic function; mortality prediction

Document Type: Journal Article

Affiliations: Research Forester, Intermountain Forest and Range Experiment Station, USDA Forest Service, Moscow, Idaho

Publication date: December 1, 1976

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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