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Subsampling Trees for Biomass, Volume, or Mineral Content

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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.

Keywords: Monte Carlo integration; Randomized branch sampling; importance sampling

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: 1984-09-01

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

    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
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