气候变化领域集成服务门户(CCPortal): Implications of scale dependence for cross-study syntheses of biodiversity differences

CCPortal

DOI	10.1111/ele.13641
	Implications of scale dependence for cross-study syntheses of biodiversity differences
	Spake R.; Mori A.S.; Beckmann M.; Martin P.A.; Christie A.P.; Duguid M.C.; Doncaster C.P.
发表日期	2021
ISSN	1461023X
起始页码	374
结束页码	390
卷号	24 期号:2
英文摘要	Biodiversity studies are sensitive to well-recognised temporal and spatial scale dependencies. Cross-study syntheses may inflate these influences by collating studies that vary widely in the numbers and sizes of sampling plots. Here we evaluate sources of inaccuracy and imprecision in study-level and cross-study estimates of biodiversity differences, caused by within-study grain and sample sizes, biodiversity measure, and choice of effect-size metric. Samples from simulated communities of old-growth and secondary forests demonstrated influences of all these parameters on the accuracy and precision of cross-study effect sizes. In cross-study synthesis by formal meta-analysis, the metric of log response ratio applied to measures of species richness yielded better accuracy than the commonly used Hedges' g metric on species density, which dangerously combined higher precision with persistent bias. Full-data analyses of the raw plot-scale data using multilevel models were also susceptible to scale-dependent bias. We demonstrate the challenge of detecting scale dependence in cross-study synthesis, due to ubiquitous covariation between replication, variance and plot size. We propose solutions for diagnosing and minimising bias. We urge that empirical studies publish raw data to allow evaluation of covariation in cross-study syntheses, and we recommend against using Hedges' g in biodiversity meta-analyses. © 2020 The Authors. Ecology Letters published by John Wiley & Sons Ltd
关键词	accuracy biodiversity effect size grain meta-analysis multilevel model precision scale synthesis
英文关键词	biodiversity; covariance analysis; empirical analysis; precision; sampling bias; species richness; biodiversity; forest; meta analysis; Biodiversity; Forests
语种	英语
来源期刊	Ecology Letters
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/204493
作者单位	School of Geography and Environmental Science, University of Southampton, Highfield Campus, Southampton, SO17 1BJ, United Kingdom; School of Biological Sciences, University of Southampton, Highfield Campus, Southampton, SO17 1BJ, United Kingdom; Graduate School of Environment and Information Sciences, Yokohama National University, 79-7 Tokiwadai, Hodogaya, Yokohama, 240-8501, Japan; UFZ – Helmholtz Centre for Environmental Research, Department of Computational Landscape Ecology, Permoserstraße 15, Leipzig, 04318, Germany; BioRISC (Biosecurity Research Initiative at St Catharine's), St Catharine's College, Cambridge, CB2 1RL, United Kingdom; Conservation Science Group, Department of Zoology, University of Cambridge, The David Attenborough Building, Downing Street, Cambridge, CB3 3QZ, United Kingdom; Yale School of the Environment, 195 Prospect St, New Haven, CT 06511, United States
推荐引用方式 GB/T 7714	Spake R.,Mori A.S.,Beckmann M.,et al. Implications of scale dependence for cross-study syntheses of biodiversity differences[J],2021,24(2).
APA	Spake R..,Mori A.S..,Beckmann M..,Martin P.A..,Christie A.P..,...&Doncaster C.P..(2021).Implications of scale dependence for cross-study syntheses of biodiversity differences.Ecology Letters,24(2).
MLA	Spake R.,et al."Implications of scale dependence for cross-study syntheses of biodiversity differences".Ecology Letters 24.2(2021).