Skip to main content

Segmented Polynomial Regression Applied to Taper Equations

Buy Article:

$21.50 plus tax (Refund Policy)

The shape of various segments of tree boles approximate different geometric solids. The lower bole portion is generally assumed to be a neiloid frustum, the middle a paraboloid frustum, and the upper portion a cone. To describe stem taper throughout the bole, a set of submodels can be used. When these submodels are taken to be polynomial models, the techniques of segmented polynomial regression can be applied. Data from plantation and natural stands of loblolly pine were used as examples to compare three segmented polynomial regression models and a previously proposed single quadratic model for ability to describe tree taper. Results of hypothesis tests and analyses with an independent data set showed the segmented polynomial regression models with three submodels to be the best model tested for predicting taper in loblolly pines. Forest Sci. 22:283-289.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Keywords: Forest measurement; Pinus taeda; nonlinear least squares

Document Type: Journal Article

Affiliations: Associate Professor, Department of Forestry and Forest Products, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061

Publication date: 1976-09-01

More about this publication?
  • Important Notice: SAF's journals are now published through partnership with the Oxford University Press. Access to archived material will be available here on the Ingenta website until March 31, 2018. For new material, please access the journals via OUP's website. Note that access via Ingenta will be permanently discontinued after March 31, 2018. Members requiring support to access SAF's journals via OUP's site should contact SAF's membership department for assistance.

    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
  • Submit a Paper
  • Membership Information
  • Author Guidelines
  • Podcasts
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed 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