Method for estimating potential tree-grade distributions for northeastern forest species

Daniel Yaussy; Daniel Yaussy

doi:10.2737/NE-RP-670

Treesearch

Method for estimating potential tree-grade distributions for northeastern forest species

Informally Refereed

Authors:

Daniel Yaussy, Daniel Yaussy

Year:

1993

Type:

Research Paper

Station:

Northern Research Station

DOI:

https://doi.org/10.2737/NE-RP-670

Source:

Res. Pap. NE-670. Radnor, PA: U.S. Department of Agriculture, Forest Service, Northeastern Forest Experiment Station. 12 p.

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Download (PDF 498 KB): https://research.fs.usda.gov/download/treesearch/20772.pdf

Abstract

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.

Keywords

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

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.