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Triangle Based Probability Polygons for Forest Sampling

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A practical technique is developed for selecting individual sample-trees with probabilities defined on an area basis. Triangles of the network formed among least diagonal neighbors are partitioned using proportioning functions of tree size and spacing. The partitions associated with an individual tree are grouped to form an abstract or probability polygon. Alternate sets of such polygons which may prove useful in forest sampling are defined in detail, field sampling procedures are sketched, and unbiased estimating equations are given. Preliminary empirical comparisons suggest that samples related to polygons may be more efficient than plot or point samples whenever time consuming volume or growth measures are required, and more efficient than 3P samples when the number of trees in the population is large. Forest Sci. 23:111-121.

Keywords: Least diagonal neighbors

Document Type: Journal Article

Affiliations: Forester in the Research Division of the British Columbia Forest Service, Victoria, B.C. Canada, V8V 1X5

Publication date: 1977-03-01

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

    Also published by SAF:
    Journal of Forestry
    Other SAF Publications
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