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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.
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Keywords: Forest inventory; cluster sampling

Document Type: Journal Article

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

Publication date: 01 August 1995

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