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Some Novel Statistical Analyses Relevant to the Reported Growth Decline of Pine Species in the Southeast

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Abstract:

Existing statistical methodology has been adapted to give additional insight into the data on pine-growth reduction in the Southeast as presented by Sheffield et al. (1985). Specifically the generation of confidence intervals for the percentage growth reduction is illustrated. The probability integral transformation and cumulative sum techniques are employed as a meta-analytic approach to testing the significance of the growth reduction. While these methods are suggested as a means of obtaining a quantitative overview of these particular data, the potential for wider application exists. It is also shown how the observed pattern of reduction and most, if not all, of its magnitude can be explained by a simple conceptual model for hardwood competition. Verification of this approach is, however, not possible with the data as provided by Sheffield et al. For. Sci 36(2):448-463.

Keywords: Confidence intervals; Weibull distribution; cumulative sum; meta-analysis; probability integral transform

Document Type: Journal Article

Affiliations: EPA Environmental Research Laboratory, Corvallis OR 97333, and Department of Forest Management, Oregon State University, Corvallis OR 97331

Publication date: 1990-06-01

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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