Subsampling Trees for Biomass, Volume, or Mineral Content
Abstract:A procedure for estimating aboveground biomass, woody volume, or mineral content of a tree uses randomized branch sampling and importance sampling, a technique of Monte Carlo integration. Both techniques involve sampling with selection probabilities proportional to estimated size and produce unbiased estimates of tree components and their variances. The results of a field test of the procedure for the estimation of fresh weight are presented. Forest Sci. 30: 673-681.
Document Type: Journal Article
Affiliations: J. P. Weyerhaeuser, Jr., Professor of Forest Management, Yale School of Forestry and Environmental Studies, New Haven, CT
Publication date: September 1, 1984
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- 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.
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