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    Author(s): E. Charles Peterson; A. Robert Mickler
    Date: 1993
    Source: In: Rennolls, K.; Gertner, G., eds. Proceedings of the 1991 IUFRO S4.11 conference: The Optimal Design of Forest Experiments and Forest Surveys. London, UK: University of Greenwich, School of Mathematics, Statistics and Computing. 8 p
    Publication Series: Scientific Journal (JRNL)
    PDF: View PDF  (197 KB)

    Description

    Tree seedling studies, covering a wide range of experimental conditions in pollutant treatment, species, facilities, and exposure regimes, have become commonplace in forestry research for assessing the actual and potential environmental effects of air pollutants on forest ecosystems. While assuring a wide breadth of scientific information, sufficient consideration has not been given to either the comparability of such population studies or to their appropriate inference. Th e populations of seedlings for which seedling experiments have inference, including the limitations in national or regional generalizations, should be made explicit in the results. Furthermore, the extent to which seedling results are applicable to mature trees and forests condition should not be left in doubt. Finally, the statistical power of any given analysis is almost never discussed, particularly when the outcomes are inconclusive. The approach for control of the exposure regime (i.e., Achieving treatment target levels) is often assumed, rather than assured through documentation.

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    Citation

    Peterson, E. Charles, Jr.; Mickler, A. Robert. 1993. Design issues for evaluating seedling exposure studies. In: Rennolls, K.; Gertner, G., eds. Proceedings of the 1991 IUFRO S4.11 conference: The Optimal Design of Forest Experiments and Forest Surveys. London, UK: University of Greenwich, School of Mathematics, Statistics and Computing. 8 p

    Keywords

    Power, data quality, population inference, pollutants, seedlings

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