气候变化领域集成服务门户(CCPortal): Bias in the detection of negative density dependence in plant communities

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DOI	10.1111/ele.13372
	Bias in the detection of negative density dependence in plant communities
	Detto M.; Visser M.D.; Wright S.J.; Pacala S.W.
发表日期	2019
ISSN	1461023X
卷号	22 期号:11
英文摘要	Regression dilution is a statistical inference bias that causes underestimation of the strength of dependency between two variables when the predictors are error-prone proxies (EPPs). EPPs are widely used in plant community studies focused on negative density-dependence (NDD) to quantify competitive interactions. Because of the nature of the bias, conspecific NDD is often overestimated in recruitment analyses, and in some cases, can be erroneously detected when absent. In contrast, for survival analyses, EPPs typically cause NDD to be underestimated, but underestimation is more severe for abundant species and for heterospecific effects, thereby generating spurious negative relationships between the strength of NDD and the abundances of con- and heterospecifics. This can explain why many studies observed rare species to suffer more severely from conspecific NDD, and heterospecific effects to be disproportionally smaller than conspecific effects. In general, such species-dependent bias is often related to traits associated with likely mechanisms of NDD, which creates false patterns and complicates the ecological interpretation of the analyses. Classic examples taken from literature and simulations demonstrate that this bias has been pervasive, which calls into question the emerging paradigm that intraspecific competition has been demonstrated by direct field measurements to be generally stronger than interspecific competition. © 2019 John Wiley & Sons Ltd/CNRS
英文关键词	Errors in predictors; measurement error; negative density dependence; plant community; regression dilution
语种	英语
scopus关键词	conspecific; density dependence; detection method; error correction; intraspecific competition; plant community; rare species; regression analysis; biological model; plant; Models, Biological; Plants
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/121008
作者单位	Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, United States; Smithsonian Tropical Research Institute, Balboa, Panama
推荐引用方式 GB/T 7714	Detto M.,Visser M.D.,Wright S.J.,et al. Bias in the detection of negative density dependence in plant communities[J],2019,22(11).
APA	Detto M.,Visser M.D.,Wright S.J.,&Pacala S.W..(2019).Bias in the detection of negative density dependence in plant communities.Ecology Letters,22(11).
MLA	Detto M.,et al."Bias in the detection of negative density dependence in plant communities".Ecology Letters 22.11(2019).