Skip to main content

A Test of Six Methods for Estimating True Heights from Stem Analysis Data

Buy Article:

$29.50 plus tax (Refund Policy)


Six published or proposed methods of estimating the height corresponding to a given age with sectioned-tree stem analysis data were compared using actual heights at known ages for 28 loblolly pine trees. The most accurate was Carmean's (1972) method, which assumes that height growth is constant for each year contained within a bolt and that each crosscut occurs in the middle of a year's growth. Methods proposed by Lenhart (1972) and by Newberry (1978) were less accurate but probably acceptable. These three methods produce data that, when used to fit a nonlinear height-age model with Richards' (1959) equation, gave more than 80% overlap in the asymptotic 95% confidence intervals of the parameter estimates. Resulting height-age curves were nearly coincident for these three methods. For. Sci. 33(1):3-13.

Keywords: Pinus taeda; Site index; height growth

Document Type: Journal Article

Affiliations: Professor of Forest Biometrics and Management in the School of Forest Resources, University of Georgia, Athens, GA 30602

Publication date: March 1, 1987

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.

    2015 Impact Factor: 1.702
    Ranking: 16 of 66 in forestry

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Ingenta Connect is not responsible for the content or availability of external websites

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Partial Open Access Content
Partial Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more