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New methods for estimating parameters of weibull functions to characterize future diameter distributions in forest standsAuthor(s): Quang V. Cao; Shanna M. McCarty
Source: Gen. Tech. Rep. SRS-92. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. pp. 338-340
Publication Series: Miscellaneous Publication
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DescriptionDiameter distributions in a forest stand have been successfully characterized by use of the Weibull function. Of special interest are cases where parameters of a Weibull distribution that models a future stand are predicted, either directly or indirectly, from current stand density and dominant height. This study evaluated four methods of predicting the Weibull parameters, using data from loblolly pine (Pinus taeda L.) plantations. One method, the CDF Regression, consistently produced better goodness-of-fit statistics than those from the other methods.
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CitationCao, Quang V.; McCarty, Shanna M. 2006. New methods for estimating parameters of weibull functions to characterize future diameter distributions in forest stands. Gen. Tech. Rep. SRS-92. Asheville, NC: U.S. Department of Agriculture, Forest Service, Southern Research Station. pp. 338-340
- Use of the Weibull function to predict future diameter distributions from current plot data
- A new algorithm for stand table projection models.
- A simulation study of hardwood rootstock populations in young loblolly pine plantations
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