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    Author(s): Daniel A. Yaussy; David L. Sonderman
    Date: 1984
    Source: Research Note NE-317. Broomall, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station. 4p.
    Publication Series: Research Note (RN)
    Station: Northeastern Research Station
    PDF: View PDF  (479.26 KB)

    Description

    Describes the development of multivariate equations that predict the expected cubic volume of four round-product classes from independent variables composed of individual tree-quality characteristics. Although the model has limited application at this time, it does demonstrate the feasibility of partitioning total tree cubic volume into round-product classes based on tree-quality characteristics.

    Publication Notes

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    • This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.

    Citation

    Yaussy, Daniel A.; Sonderman, David L. 1984. Multivariate regression model for partitioning tree volume of white oak into round-product classes. Research Note NE-317. Broomall, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station. 4p.

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