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Estimating Area in Sampling Forest Populations on Two Successive Occasions

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Several estimators not previously considered along with estimators in use of the proportion of area and change in the proportion of area contained in a class are presented for inventorying forest resources on successive occasions. A brief Monte Carlo study was run on several of these estimators to evaluate their statistical properties. The minimum variance unbiased estimators for both current status and change are recommended for all replacement policies. They simplify to existing estimators for complete remeasurement and complete replacement, but are more efficient for partial replacement allocations. Forest Sci. 23:253-267.

Keywords: Forest inventory; partial replacement sampling; simulation

Document Type: Journal Article

Affiliations: Biometrician, Pacific Northwest Forest and Range Experiment Station, USDA Forest Service, Portland, Oregon

Publication date: June 1, 1977

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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