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    Author(s): Daniel A. YaussyDaniel A. Yaussy
    Date: 1993
    Source: Res. Pap. NE-670. Radnor, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station. 12 p.
    Publication Series: Research Paper (RP)
    Station: Northeastern Research Station
    PDF: View PDF  (486.04 KB)

    Description

    Generalized logistic regression was used to distribute trees into four potential tree grades for 20 northeastern species groups. The potential tree grade is defined as the tree grade based on the length and amount of clear cuttings and defects only, disregarding minimum grading diameter. The algorithms described use site index and tree diameter as the predictive variables, allowing the equations to be incorporated into individual-tree growth and yield simulators such as NE-TWIGS.

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    Citation

    Yaussy, Daniel A. 1993. Method for estimating potential tree-grade distributions for northeastern forest species. Res. Pap. NE-670. Radnor, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station. 12 p.

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    Keywords

    Generalized logistic regression, NE-TWIGS, growth and yield simulators

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