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Polymorphic Site Index Equations for Loblolly Pine Based on a Segmented Polynomial Differential Model

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Abstract:

Site index equations for old-field plantations and natural stands of loblolly pine were produced from the integrated form of height increment models fitted by segmented regression techniques. After transforming the stem analysis data as the natural logarithm of height and the inverse of age, height increment submodels were fitted for various combinations of the independent variables height, age, and age squared for two segments with a join point being a function of age. Comparisons of the resultant curves indicated that the model having all three variables in both segments was superior to other forms and to published equations in predicting site index of trees both from the data used in parameter estimation and from an independent source. Forest Sci. 28:544-555.

Keywords: Pinus taeda; base-age invariant; differential equations; segmented regression; site quality

Document Type: Journal Article

Affiliations: Professor, Department of Forestry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061

Publication date: September 1, 1982

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.
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