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系统发育是否重要?评估生态元分析中系统发育信息的影响。

Does phylogeny matter? Assessing the impact of phylogenetic information in ecological meta-analysis.

机构信息

Department of Ecology and Evolutionary Biology, Rice University, Houston, TX 77006, USA.

出版信息

Ecol Lett. 2012 Jun;15(6):627-36. doi: 10.1111/j.1461-0248.2012.01776.x. Epub 2012 Apr 10.

DOI:10.1111/j.1461-0248.2012.01776.x
PMID:22487445
Abstract

Meta-analysis is increasingly used in ecology and evolutionary biology. Yet, in these fields this technique has an important limitation: phylogenetic non-independence exists among taxa, violating the statistical assumptions underlying traditional meta-analytic models. Recently, meta-analytical techniques incorporating phylogenetic information have been developed to address this issue. However, no syntheses have evaluated how often including phylogenetic information changes meta-analytic results. To address this gap, we built phylogenies for and re-analysed 30 published meta-analyses, comparing results for traditional vs. phylogenetic approaches and assessing which characteristics of phylogenies best explained changes in meta-analytic results and relative model fit. Accounting for phylogeny significantly changed estimates of the overall pooled effect size in 47% of datasets for fixed-effects analyses and 7% of datasets for random-effects analyses. Accounting for phylogeny also changed whether those effect sizes were significantly different from zero in 23 and 40% of our datasets (for fixed- and random-effects models, respectively). Across datasets, decreases in pooled effect size magnitudes after incorporating phylogenetic information were associated with larger phylogenies and those with stronger phylogenetic signal. We conclude that incorporating phylogenetic information in ecological meta-analyses is important, and we provide practical recommendations for doing so.

摘要

元分析在生态学和进化生物学中越来越多地被使用。然而,在这些领域中,这种技术有一个重要的局限性:分类群之间存在系统发育非独立性,违反了传统元分析模型的统计假设。最近,已经开发出了包含系统发育信息的元分析技术来解决这个问题。然而,没有综合评估包含系统发育信息会如何改变元分析的结果。为了解决这个差距,我们为 30 篇已发表的元分析构建了系统发育树,并重新进行了分析,比较了传统方法和系统发育方法的结果,并评估了哪些系统发育特征能最好地解释元分析结果和相对模型拟合的变化。在固定效应分析中,47%的数据集和随机效应分析中 7%的数据集由于考虑了系统发育而显著改变了总体汇总效应大小的估计值。考虑到系统发育,在我们的数据集(固定效应和随机效应模型分别为 23%和 40%)中,这些效应大小是否显著不同于零也发生了变化。在数据集之间,在包含系统发育信息后,汇总效应大小的减小与较大的系统发育树和更强的系统发育信号有关。我们的结论是,在生态元分析中纳入系统发育信息很重要,我们提供了一些实用的建议。

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Ecol Lett. 2012 Jun;15(6):627-36. doi: 10.1111/j.1461-0248.2012.01776.x. Epub 2012 Apr 10.
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