Skip to Main Content
Method for estimating potential tree-grade distributions for northeastern forest speciesAuthor(s): Daniel A. Yaussy; Daniel A. Yaussy
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
View PDF (486.04 KB)
DescriptionGeneralized 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.
- Check the Northern Research Station web site to request a printed copy of this publication.
- Our on-line publications are scanned and captured using Adobe Acrobat.
- During the capture process some typographical errors may occur.
CitationYaussy, 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.
KeywordsGeneralized logistic regression, NE-TWIGS, growth and yield simulators
- Raise cutting diameters for increased returns
- NE-TWIGS update: Incorporating tree quality
- Structural lumber from dense stands of small-diameter Douglas-fir trees.
XML: View XML