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Measuring Treatment Effects Through Comparisons Along Plot Boundaries

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In many experimental situations, conventional methods for removing variation from treatment comparisons are inadequate. This problem is illustrated by data from a pine seed-source planting on a flatwoods site in which significant treatment differences could not be detected using an analysis of variance appropriate for the randomized block design. Treatment differences are apparent when comparisons are made along plot boundaries. Such analysis may prove useful in other situations. Forest Sci. 26:704-709.
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Keywords: Analysis of variance; boundary comparisons; experimental design; within-plot variation

Document Type: Journal Article

Affiliations: Plant Geneticist (retired), Olustee, Florida 30272, USDA Forest Service, Southeastern Forest Experiment Station

Publication date: 1980-12-01

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.

    2016 Impact Factor: 1.782 (Rank 17/64 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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