气候变化领域集成服务门户(CCPortal): The dimensionality and structure of species trait spaces

CCPortal

DOI	10.1111/ele.13778
	The dimensionality and structure of species trait spaces
	Mouillot D.; Loiseau N.; Grenié M.; Algar A.C.; Allegra M.; Cadotte M.W.; Casajus N.; Denelle P.; Guéguen M.; Maire A.; Maitner B.; McGill B.J.; McLean M.; Mouquet N.; Munoz F.; Thuiller W.; Villéger S.; Violle C.; Auber A.
发表日期	2021
ISSN	1461023X
起始页码	1988
结束页码	2009
卷号	24 期号:9
英文摘要	Trait-based ecology aims to understand the processes that generate the overarching diversity of organismal traits and their influence on ecosystem functioning. Achieving this goal requires simplifying this complexity in synthetic axes defining a trait space and to cluster species based on their traits while identifying those with unique combinations of traits. However, so far, we know little about the dimensionality, the robustness to trait omission and the structure of these trait spaces. Here, we propose a unified framework and a synthesis across 30 trait datasets representing a broad variety of taxa, ecosystems and spatial scales to show that a common trade-off between trait space quality and operationality appears between three and six dimensions. The robustness to trait omission is generally low but highly variable among datasets. We also highlight invariant scaling relationships, whatever organismal complexity, between the number of clusters, the number of species in the dominant cluster and the number of unique species with total species richness. When species richness increases, the number of unique species saturates, whereas species tend to disproportionately pack in the richest cluster. Based on these results, we propose some rules of thumb to build species trait spaces and estimate subsequent functional diversity indices. © 2021 John Wiley & Sons Ltd.
关键词	complexity functional ecology hypervolume species clustering species uniqueness
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/204449
作者单位	MARBEC, University of Montpellier, CNRS, IFREMER, IRD, Montpellier, France; Institut Universitaire de France, IUF, Paris, France; Centre d'Ecologie Fonctionnelle et Evolutive—UMR 5175 CEFE, University of Montpellier, CNRS, EPHE, University of Paul Valéry, IRD, Montpellier, France; Department of Biology, Lakehead University, Thunder Bay, ON, Canada; Institut de Neurosciences de la Timone, Aix Marseille Université, UMR 7289, CNRS, Marseille, France; Department of Biological Sciences, University of Toronto-Scarborough, Toronto, ON, Canada; FRB—CESAB, Institut Bouisson Bertrand, Montpellier, France; Biodiversity, Macroecology & Biogeography, University of Goettingen, Göttingen, Germany; Laboratoire d'Ecologie Alpine, Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, France; EDF R&D, LNHE (Laboratoire National d'Hydraulique et Environnement), Chatou, France; Department of Ecology and Evolutionary Biology, University of Connecticut, Mansfield, CT, United States; School of Biology an...
推荐引用方式 GB/T 7714	Mouillot D.,Loiseau N.,Grenié M.,et al. The dimensionality and structure of species trait spaces[J],2021,24(9).
APA	Mouillot D..,Loiseau N..,Grenié M..,Algar A.C..,Allegra M..,...&Auber A..(2021).The dimensionality and structure of species trait spaces.Ecology Letters,24(9).
MLA	Mouillot D.,et al."The dimensionality and structure of species trait spaces".Ecology Letters 24.9(2021).