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Clarification of the Mirage Method for Boundary Correction, with Possible Bias in Plot and Point Sampling

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While the mirage method of boundary overlap correction has been shown to be unbiased, an emphasis on the case of circular inclusion zones has led to an ambiguity in its presentation in much of the literature. We present a clarification of the method and show that its incorrect application leads to bias. We further show that depending on the method of slope correction, the potential for bias extends to variable radius plot sampling. Correct application of the mirage method has implications for when plots should be reflected, and how borderline trees should be handled on the reflected plots. FOR. SCI. 47(2):242–245.

Keywords: Forest sampling; environmental management; forest; forest management; forest resources; forestry; forestry research; forestry science; natural resource management; natural resources; prism cruising; reflection; relascope

Document Type: Miscellaneous

Affiliations: 1: Assistant Professor of Forest Biometrics Department of Natural Resources, University of New Hampshire, Durham, NH, 03824, Phone: (603) 862-4429; Fax: (603) 862-4976 2: Research Forester USDA Forest Service, Northeastern Research Station, P.O. Box 640 Durham, NH, 03824, Phone: (603) 868-7667 3: Professor Swedish University of Agricultural Sciences, Department of Forest Resource Management and Geomatics, S-901 83, Umeå, Sweden, 4: doctoral student Swedish University of Agricultural Sciences, Department of Forest Resource Management and Geomatics, S-901 83, Umeå, Sweden,

Publication date: 2001-05-01

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

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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