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Techniques and Computations for Mapping Plot Clusters that Straddle Stand Boundaries

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Many regional (extensive) forest surveys use clusters of subplots or prism points to reduce survey costs. Two common methods of handling clusters that straddle stand boundaries entail: (1) moving all subplots into a single forest cover type, or (2) "averaging" data across multiple conditions without regard to the boundaries. These methods result in biased estimates of tree attributes (volume/acre, basal area/acre, etc.) and/or misclassification of discrete stand-area attributes (cover type, stand size, etc.). To circumvent the problems encountered with these approaches, a technique is described whereby subplots always are arranged in a fixed pattern, and trees are tallied by the cover type or "condition class" in which they occur. This involves mapping boundaries that bisect a subplot and proportioning subplot area by condition class. Field and calculation procedures leading to unbiased estimates are given. For. Sci. Monogr. 31:46-61.

Keywords: Forest inventory; cluster sampling

Document Type: Journal Article

Affiliations: Research Forester, Southern Research Station, Asheville, NC 28802

Publication date: 1995-08-01

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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