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The Walk Through and Fro Estimator for Edge Bias Avoidance

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Abstract:

Edge bias can result from the failure of sampling estimators to account for the true sampling probabilities of trees near the edges of a stand. Numerous estimators for basal area, each with an associated sampling method, have been proposed so as to avoid or reduce edge bias. The “walkthrough” estimator by Ducey et al. (2004) is easier to use than most competitors. A modification of that estimator is proposed here and referred to as the walk through and fro estimator. Along the line that connects the sample point and a particular sample tree, distances from the tree to any intersected stand boundaries are recorded if those distances are shorter than the radius of the conceptual tree-centered plot. The recorded distances are used to calculate sample weights that allow for unbiased estimation of basal area under all circumstances. The mean squared error for this estimator is generally less than that of the walk through estimator but greater than that of the tree-concentric estimator. Several variations on the proposed estimator are described.

Keywords: boundary; edge bias; edge overlap; horizontal point sampling

Document Type: Research Article

DOI: https://doi.org/10.5849/forsci.10-135

Publication date: 2013-04-16

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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