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Predicting Parameters of a Weibull Function for Modeling Diameter Distribution

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Abstract:

The Weibull function has been widely used to characterize diameter distributions in a forest stand. Methods have been developed to predict the Weibull parameters, either directly or indirectly, from stand age, density, and dominant height. In this study, four existing methods and two new methods of obtaining the Weibull parameters were evaluated using data from a loblolly pine (Pinus taeda L.) plantation. While both new methods performed well, one of them produced consistently better goodness-of-fit statistics than those from the existing methods. FOR. SCI. 50(5):682–685.

Keywords: Pinus taeda; Weibull distribution; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; maximum likelihood; natural resource management; natural resources; parameter prediction; parameter recovery

Document Type: Regular Article

Affiliations: School of Renewable Natural Resources Louisiana State University AgCenter Baton Rouge LA 70803 Phone: (225) 578-4218;, Fax: (225) 578-4227, Email: qcao@lsu.edu

Publication date: October 1, 2004

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.

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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