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Parsimonious and Completely Compatible Taper, Total, and Merchantable Volume Models

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A parsimonious and compatible system of taper, total, and merchantable volume equations sharing a common vector of three parameter estimates was derived from Clark and Saucier's (1990) volume ratio model. Clark and Saucier's model expresses volume inside bark as a function of outside bark diameter and is itself not compatible with the derived taper equation. To ensure compatibility, models were fit to express volume outside bark as functions of diameter outside bark. By constraining the limits of integration of the taper function to go from the tip to groundline diameter, a completely compatible system of taper, total, and merchantable volume equations were developed. Systems of equations were fit using nonlinear seemingly unrelated regressions with nonlinear cross-equation constraints to account for contemporaneous correlations in the data. The system fit was found to account for at least 96% of the variation in diameter outside bark, total, and merchantable outside bark volume. FOR. SCI. 51(6):578–584.
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Keywords: Compatible equations; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; merchantable volume; natural resource management; natural resources; seemingly unrelated regression; taper

Document Type: Regular Article

Affiliations: 1: Research Coordinator Warnell School of Forest Resources The University of Georgia Athens GA 30602-2152 Phone: (706) 542-7587;, Fax: (706) 542-0119, Email: lcj6444@forestry.uga.edu 2: Assistant Professor of Mathematics Wake Forest University 1834 Wake Forest Road Winston-Salem NC 27106 Phone: (336) 758-5922, Email: berenhks@wfu.edu 3: Principal Analyst, Rork Associates, P.O. Box 6412 Athens GA 30604 Phone: (706) 369-5341, Email: rork@charter.net 4: Professor Warnell School of Forest Resources The University of Georgia Athens GA 30602-2152 Phone: (706) 542-7268, Email: ddaniels@forestry.uga.edu

Publication date: 2005-12-01

More about this publication?
  • Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management.
    Forest Science is published bimonthly in February, April, June, August, October, and December.

    2016 Impact Factor: 1.782 (Rank 17/64 in forestry)

    Average time from submission to first decision: 62.5 days*
    June 1, 2016 to Feb. 28, 2017

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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