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dc.contributor.authorOsenberg, Craig W.
dc.contributor.authorSarnelle, Orlando
dc.contributor.authorCooper, Scott D.
dc.contributor.authorHolt, Robert D.
dc.date.accessioned2015-02-20T18:24:29Z
dc.date.available2015-02-20T18:24:29Z
dc.date.issued1999
dc.identifier.citationOsenberg, C. W., Sarnelle, O., Cooper, S. D., & Holt, R. D. (1999). Resolving ecological questions through meta-analysis: goals, metrics, and models. Ecology, 80(4), 1105–1117.

http://dx.doi.org/10.1890/0012-9658(1999)080[1105:REQTMA]2.0.CO;2
en_US
dc.identifier.urihttp://hdl.handle.net/1808/16736
dc.description.abstractWe evaluate the goals of meta-analysis, critique its recent application in ecology, and highlight an approach that more explicitly links meta-analysis and ecological theory. One goal of meta-analysis is testing null hypotheses of no response to experimental manipulations. Many ecologists, however, are more interested in quantitatively measuring processes and examining their systematic variation across systems and conditions. This latter goal requires a suite of diverse, ecologically based metrics of effect size, with each appropriately matched to an ecological question of interest. By specifying ecological models, we can develop metrics of effect size that quantify the underlying process or response of interest and are insensitive to extraneous factors irrelevant to the focal question. A model will also help to delineate the set of studies that fit the question addressed by the metaanalysis. We discuss factors that can give rise to heterogeneity in effect sizes (e.g., due to differences in experimental protocol, parameter values, or the structure of the models that describe system dynamics) and illustrate this variation using some simple models of plant competition. Variation in time scale will be one of the most common factors affecting a meta-analysis, by introducing heterogeneity in effect sizes. Different metrics will apply to different time scales, and time-series data will be vital in evaluating the appropriateness of different metrics to different collections of studies. We then illustrate the application of ecological models, and associated metrics of effect size, in meta-analysis by discussing and/or synthesizing data on species interactions, mutual interference between consumers, and individual physiology. We also examine the use of metrics when no single, specific model applies to the synthesized studies. These examples illustrate that the diversity of ecological questions demands a diversity of ecologically meaningful metrics of effect size. The successful application of meta-analysis in ecology will benefit by clear and explicit linkages among ecological theory, the questions being addressed, and the metrics used to summarize the available information.en_US
dc.description.sponsorshipThis work was conducted as part of the Meta-analysis Working Group (‘‘Meta-analysis, interaction strength and effect size: application of biological models to the synthesis of experimental data’’) supported by the National Center for Ecological Analysis and Synthesis (NCEAS), a Center funded by NSF (DEB-94-21535), the University of California–Santa Barbara, and the State of California. Additional support also was provided for O. Sarnelle as a NCEAS Postdoctoral Associate, and through grants from the Minerals Management Service (U.S. Department of Interior, 14-35-0001-30761 to C. W. Osenberg) and NSF (DEB-9528445 to C. W. Osenberg, DEB93-08375 and DEB96-29473 to O. Sarnelle, and DEB- 9407591 to S. D. Cooper. Our ideas and presentation have benefitted immensely from discussions with the entire Working Group and by the support provided by the staff of NCEAS. We also thank J. Wilson for assistance with the project, C. St. Mary, J. Dykes, E. Mu¨ ller, and W. Rice for helpful discussions, and D. Goldberg and two anonymous reviewers for helpful comments on a previous draft. We also are grateful to D. Goldberg for her contributions to the entire Special Feature.en_US
dc.publisherEcological Society of Americaen_US
dc.rightsCopyright by the Ecological Society of America
dc.subjectecological models and meta-analysisen_US
dc.subjecteffect size in meta-analysisen_US
dc.subjectinteractions strengthen_US
dc.subjectmeta-analysis goals, metrics, and modelsen_US
dc.subjectmetrics, ecological relevanceen_US
dc.subjectpredationen_US
dc.subjectratio dependenceen_US
dc.subjecttime scaleen_US
dc.titleResolving Ecological Questions through Meta-Analysis: Goals, Metrics, and Modelsen_US
dc.typeArticle
kusw.kuauthorHolt, Robert D.
kusw.kudepartmentEcology and Evolutionary Biologyen_US
dc.identifier.doi10.1890/0012-9658(1999)080[1105:REQTMA]2.0.CO;2
kusw.oaversionScholarly/refereed, publisher version
kusw.oapolicyThis item does not meet KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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