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Area-Independent Sampling for Total Basal Area

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Abstract:

An unbiased direct estimator of total basal area for a stand is presented; stand area need not be known. Sampling can use horizontal point samples or fixed-area plots distributed on a regular grid or randomly selected. The sample space extends beyond the stand boundary. The estimator for basal area makes no distinction between plots whose centers are interior to the stand boundary and plots whose centers are outside. Only trees within the stand boundary are tallied. For horizontal point sampling, the estimator is the product of the sample tree count, the basal area factor, and the area per grid point, with the latter being derived from grid spacing. This method avoids the complexities associated with most other estimators designed to minimize or eliminate edge bias. The proposed method may require more sample points to achieve the same level of precision as competing estimators. FOR. SCI. 50(4):512–517.

Keywords: Forest sampling; edge bias; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; horizontal point sampling; natural resource management; natural resources; prism cruising; toss-back method

Document Type: Regular Article

Affiliations: 1: Independent Consultant 9320 40th Ave. N.E. Seattle WA 98115-3715 Phone: (206) 523-5192, Email: jimflewcf@yahoo.com 2: Independent Consultant 412 Valley Place Nanaimo BC Canada V9R 6A6 Phone: (250) 753-8095, Email: kiles@island.net

Publication date: 2004-08-01

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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