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Evaluation of n-tree distance sampling for inventory of headwater riparian forests of western Oregon

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https://ir.library.oregonstate.edu/concern/articles/4t64gn697

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Abstract
  • n-Tree distance sampling (NTDS), also known as k-tree sampling and point-to-tree sampling, has been promoted as a practical method for forest inventory. This simulation study evaluated the performance of three NTDS estimators, as compared with fixed plot sampling and horizontal point sampling, for estimating density and basal area in headwater riparian forests of western Oregon. Bias of at least one NTDS estimator was low for both density and basal area when at least six trees were captured at each sample point, but performance of NTDS for density estimation was poor on stem maps exhibiting a clustered pattern. We close with some comments regarding the statistical efficiency of NTDS for riparian area inventory in similar forest conditions.
  • This is the author's peer-reviewed final manuscript, as accepted by the publisher. The published article is copyrighted by the Society of American Foresters and can be found at: http://www.safnet.org/publications/western/index.cfm.
  • Keywords: K-tree sampling, Forest sampling, Pacific Northwest, Density-adapted sampling
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  • Haxtema, Z., Temesgen, H., & Marquardt, T. (2012). Evaluation of n-tree distance sampling for inventory of headwater riparian forests of western oregon. Western Journal of Applied Forestry, 27(3), 109-117. doi: 10.5849/wjaf.10-035
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Journal Volume
  • 27
Journal Issue/Number
  • 3
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Urheberrechts-Erklärung
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  • Funding was provided through the US Geological Survey Forest and Rangeland Ecosystem Science Center.
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Peer Reviewed
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