气候变化领域集成服务门户(CCPortal): The inherent multidimensionality of temporal variability: how common and rare species shape stability patterns

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DOI	10.1111/ele.13345
	The inherent multidimensionality of temporal variability: how common and rare species shape stability patterns
	Arnoldi J.-F.; Loreau M.; Haegeman B.
发表日期	2019
ISSN	1461023X
卷号	22 期号:10
英文摘要	Empirical knowledge of diversity–stability relationships is mostly based on the analysis of temporal variability. Variability, however, often depends on external factors that act as disturbances, which makes comparisons across systems difficult to interpret. Here, we show how variability can reveal inherent stability properties of ecological communities. This requires that we abandon one-dimensional representations, in which a single variability measurement is taken as a proxy for how stable a system is, and instead consider the whole set of variability values generated by all possible stochastic perturbations. Despite this complexity, in species-rich systems, a generic pattern emerges from community assembly, relating variability to the abundance of perturbed species. Strikingly, the contrasting contributions of different species abundance classes to variability, driven by different types of perturbations, can lead to opposite diversity–stability patterns. We conclude that a multidimensional perspective on variability helps reveal the dynamical richness of ecological systems and the underlying meaning of their stability patterns. © 2019 John Wiley & Sons Ltd/CNRS
英文关键词	Asymptotic resilience; common species; demographic stochasticity; diversity; environmental stochasticity; immigration stochasticity; rare species; stability relationship
语种	英语
scopus关键词	biological model; biota; ecosystem; Biota; Ecosystem; Models, Biological
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/121045
作者单位	Theoretical and Experimental Ecology Station CNRS and Paul Sabatier University, Moulis, 09200, France; Zoology Department, School of Natural Sciences Trinity College Dublin, The University of Dublin, Dublin, Ireland
推荐引用方式 GB/T 7714	Arnoldi J.-F.,Loreau M.,Haegeman B.. The inherent multidimensionality of temporal variability: how common and rare species shape stability patterns[J],2019,22(10).
APA	Arnoldi J.-F.,Loreau M.,&Haegeman B..(2019).The inherent multidimensionality of temporal variability: how common and rare species shape stability patterns.Ecology Letters,22(10).
MLA	Arnoldi J.-F.,et al."The inherent multidimensionality of temporal variability: how common and rare species shape stability patterns".Ecology Letters 22.10(2019).