globalchange  > 气候减缓与适应
DOI: 10.1111/ele.12638
Scopus记录号: 2-s2.0-85027948047
论文题名:
Weighting and indirect effects identify keystone species in food webs
作者: Zhao L.; Zhang H.; O'Gorman E.J.; Tian W.; Ma A.; Moore J.C.; Borrett S.R.; Woodward G.
刊名: Ecology letters
ISSN: 14610248
EISSN: 1461-0248
出版年: 2016
卷: 19, 期:9
起始页码: 1032
结束页码: 1040
语种: 英语
英文关键词: Carbon flux ; centrality ; energy budget ; quantitative food web ; robustness ; secondary extinction ; sequential deletion ; species loss
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
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.
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被引频次[WOS]:50   [查看WOS记录]     [查看WOS中相关记录]
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/107738
Appears in Collections:气候减缓与适应

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作者单位: Research Center for Engineering Ecology and Nonlinear Science, North China Electric Power University, Beijing, 102206, China; Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, Berkshire, SL5 7PY, UK; School of Electronic Engineering and Computer Science, Queen Mary University of London, Mile End Road, London, E1 4NS, UK; Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO, 80523, USA; Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO, 80523, USA; Department of Biology and Marine Biology, University of North Carolina Wilmington, Wilmington, NC, 28403, USA; Duke Network Analysis Center, Duke University, Durham, NC, 27708, USA

Recommended Citation:
Zhao L.,Zhang H.,O'Gorman E.J.,et al. Weighting and indirect effects identify keystone species in food webs[J]. Ecology letters,2016-01-01,19(9)
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