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Compatible Estimators of the Components of Change for a Rotating Panel Forest Inventory Design

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Abstract:

This article presents two approaches for estimating the components of forest change utilizing data from a rotating panel sample design. One approach uses a variant of the exponentially weighted moving average estimator and the other approach uses mixed estimation. Three general transition models were each combined with a single compatibility model for the mixed estimation approach. The four resulting estimation systems are compared and contrasted in a sample simulation study covering four simulated populations.

Keywords: estimation; harvest; mortality; sampling; simulation

Document Type: Research Article

Affiliations: Francis A. Roesch, Mathematical Statistician, Forest Inventory and Analysis, Southern Research Station, USDA Forest Service, 200 WT Weaver Blvd., Asheville, NC 28804-3454—Phone: (828) 257-4871;, Fax: (828) 257-4894, Email: froesch@fs.fed.us.

Publication date: 2007-02-01

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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