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DOI:	10.1371/journal.pone.0154079
论文题名:	Constrained Ordination Analysis with Enrichment of Bell-Shaped Response Functions
作者:	Yingjie Zhang; Olivier Thas
刊名:	PLOS ONE
ISSN:	1932-6203
出版年:	2016
发表日期:	2016-4-21
卷:	11, 期:4
语种:	英语
英文关键词:	Ecological niches ; Algorithms ; Simulation and modeling ; Antarctica ; Lakes ; Asses ; Theoretical ecology ; Species delimitation
英文摘要:	Constrained ordination methods aims at finding an environmental gradient along which the species abundances are maximally separated. The species response functions, which describe the expected abundance as a function of the environmental score, are according to the ecological fundamental niche theory only meaningful if they are bell-shaped. Many classical model-based ordination methods, however, use quadratic regression models without imposing the bell-shape and thus allowing for meaningless U-shaped response functions. The analysis output (e.g. a biplot) may therefore be potentially misleading and the conclusions are prone to errors. In this paper we present a log-likelihood ratio criterion with a penalisation term to enforce more bell-shaped response shapes. We report the results of a simulation study and apply our method to metagenomics data from microbial ecology.
URL:	http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0154079&type=printable
Citation statistics:
资源类型:	期刊论文
标识符:	http://119.78.100.158/handle/2HF3EXSE/25377
Appears in Collections:	过去全球变化的重建影响、适应和脆弱性科学计划与规划气候变化与战略全球变化的国际研究计划气候减缓与适应气候变化事实与影响

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File Name/ File Size	Content Type	Version	Access	License
journal.pone.0154079.PDF（3003KB）	期刊论文	作者接受稿	开放获取	CC BY-NC-SA	View Download

作者单位:

Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure Links 653, Ghent 9000, Belgium;Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure Links 653, Ghent 9000, Belgium;National Institute for Applied Statistics Research Australia (NIASRA), School of Mathematics and Applied Statistics, University of Wollongong, Northfields Ave, Wollongong NSW 2522, Australia

Recommended Citation:

Yingjie Zhang,Olivier Thas. Constrained Ordination Analysis with Enrichment of Bell-Shaped Response Functions[J]. PLOS ONE,2016-01-01,11(4)

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