Clarification of the Mirage Method for Boundary Correction, with Possible Bias in Plot and Point Sampling
Abstract: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 firstname.lastname@example.org 2: Research Forester USDA Forest Service, Northeastern Research Station, P.O. Box 640 Durham, NH, 03824, Phone: (603) 868-7667 email@example.com 3: Professor Swedish University of Agricultural Sciences, Department of Forest Resource Management and Geomatics, S-901 83, Umeå, Sweden, Goran.Stahl@resgeom.slu.se 4: doctoral student Swedish University of Agricultural Sciences, Department of Forest Resource Management and Geomatics, S-901 83, Umeå, Sweden, Anna.Ringvall@resgeom.slu.se
Publication date: 2001-05-01
- 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
- Submit a Paper
- Membership Information
- Author Guidelines
- Ingenta Connect is not responsible for the content or availability of external websites