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DOI	10.1111/ele.12638
	Weighting and indirect effects identify keystone species in food webs
	Zhao L.; Zhang H.; O'Gorman E.J.; Tian W.; Ma A.; Moore J.C.; Borrett S.R.; Woodward G.
发表日期	2016
ISSN	1461-023X
EISSN	1461-0248
卷号	19 期号:9
英文摘要	Species extinctions are accelerating globally, yet the mechanisms that maintain local biodiversity remain poorly understood. The extinction of species that feed on or are fed on by many others (i.e. 'hubs') has traditionally been thought to cause the greatest threat of further biodiversity loss. Very little attention has been paid to the strength of those feeding links (i.e. link weight) and the prevalence of indirect interactions. Here, we used a dynamical model based on empirical energy budget data to assess changes in ecosystem stability after simulating the loss of species according to various extinction scenarios. Link weight and/or indirect effects had stronger effects on food-web stability than the simple removal of 'hubs', demonstrating that both quantitative fluxes and species dissipating their effects across many links should be of great concern in biodiversity conservation, and the potential for 'hubs' to act as keystone species may have been exaggerated to date. © 2016 The Authors Ecology Letters published by CNRS and John Wiley & Sons Ltd.
英文关键词	Carbon flux; centrality; energy budget; quantitative food web; robustness; secondary extinction; sequential deletion; species loss
学科领域	biological model; environmental protection; food chain; species difference; species extinction; Conservation of Natural Resources; Extinction, Biological; Food Chain; Models, Biological; Species Specificity
语种	英语
scopus关键词	biological model; environmental protection; food chain; species difference; species extinction; Conservation of Natural Resources; Extinction, Biological; Food Chain; Models, Biological; Species Specificity
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/118495
作者单位	Research Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing, 102206, China, China; Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, Berkshire, SL5 7PY, UK, United Kingdom; School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile End Road, London, E1 4NS, UK, United Kingdom; Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO, 80523, USA, United States; Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, 80523, USA, United States; Department of Biology and Marine Biology, University of North Carolina Wilmington, Wilmington, NC, 28403, USA, United States; Duke Network Analysis Center, Duke University, Durham, NC, 27708, USA, United States
推荐引用方式 GB/T 7714	Zhao L.,Zhang H.,O'Gorman E.J.,et al. Weighting and indirect effects identify keystone species in food webs[J],2016,19(9).
APA	Zhao L..,Zhang H..,O'Gorman E.J..,Tian W..,Ma A..,...&Woodward G..(2016).Weighting and indirect effects identify keystone species in food webs.Ecology letters,19(9).
MLA	Zhao L.,et al."Weighting and indirect effects identify keystone species in food webs".Ecology letters 19.9(2016).