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Monday, May 4, 2020 | History

2 edition of The evaluation of meta-analysis techniques for quantifying prescribed fire effects on fuel loadings found in the catalog.

The evaluation of meta-analysis techniques for quantifying prescribed fire effects on fuel loadings

Karen Elsa Kopper

The evaluation of meta-analysis techniques for quantifying prescribed fire effects on fuel loadings

by Karen Elsa Kopper

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  • 30 Currently reading

Published by U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station in Portland, OR .
Written in English

    Subjects:
  • Prescribed burning -- West (U.S.) -- Statistics,
  • Fuel reduction (Wildfire prevention) -- West (U.S.) -- Statistics,
  • Forests and forestry -- Fire management -- West (U.S.),
  • Meta-analysis

  • About the Edition

    Models and effect-size metrics for meta-analysis were compared in four separate meta-analyses quantifying surface fuels after prescribed fires in ponderosa pine (Pinus ponderosa Dougl. ex Laws.) forests of the Western United States. An aggregated data set was compiled from 8 published reports that contained data from 65 fire treatment units. Downed woody and organic fuels were partitioned into five classes, and four meta-analyses were performed on each in a 2 by 2 factorial combination of fixed-effects vs. mixed-effects models with a difference-based metric (Hedges" d) vs. a ratio-based metric (log-response ratio). All analyses yielded significant effect sizes for each class of fuels, although mixed-effects models had larger confidence intervals around mean effect sizes and smaller ranges in those means. The use of multiple methods produced a robust result for this study, but also carries the danger of selective interpretation if results are contradictory. Meta-analysis in fire research merits further consideration because it facilitates inferences across data sets reported by multiple authors, even when reporting is inconsistent. Nevertheless, standardized methodology, consistent measurement protocols, and complete reporting of both significant and nonsignificant results will greatly assist future synthesis efforts using metaanalysis.

    Edition Notes

    StatementKaren E. Kopper, Donald McKenzie and David L. Peterson.
    SeriesResearch paper PNW -- RP-582, Research paper PNW -- 582.
    ContributionsMcKenzie, Donald., Peterson, David L. 1954-, Pacific Northwest Research Station (Portland, Or.)
    Classifications
    LC ClassificationsSD421.32.W47 K66 2009
    The Physical Object
    Pagination24 p. :
    Number of Pages24
    ID Numbers
    Open LibraryOL23966235M
    LC Control Number2009438211


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