Skip to main content

Notes: Estimation of Individual Tree Competition From Horizontal Point Sample Data

Buy Article:

$29.50 plus tax (Refund Policy)

Abstract:

A method is presented for estimating individual tree competition based on data from horizontal point samples. The approach is an extension of the linear expansion method, which was developed for use with fixed-area sample plots. Theoretical arguments are presented which indicate that the point sample estimator may be more efficient than fixed-area plot estimators. Potential sources of bias are also discussed. Forest Sci. 28:45-48.

Keywords: Plot edge bias; forest growth modeling; forest sampling

Document Type: Miscellaneous

Affiliations: Assistant Professor, Department of Forestry, University of Wisconsin, Madison, WI 53706

Publication date: 1982-03-01

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.

    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
  • Podcasts
  • Ingenta Connect is not responsible for the content or availability of external websites
  • Access Key
  • Free ContentFree content
  • Partial Free ContentPartial Free content
  • New ContentNew content
  • Open Access ContentOpen access content
  • Partial Open Access ContentPartial Open access content
  • Subscribed ContentSubscribed content
  • Partial Subscribed ContentPartial Subscribed content
  • Free Trial ContentFree trial content
Cookie Policy
X
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