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

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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: March 1, 1982

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.
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