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DOI10.1111/ele.12946
Translucent windows: how uncertainty in competitive interactions impacts detection of community pattern
D'Andrea R.; Ostling A.; O'Dwyer J.P.
发表日期2018
ISSN1461023X
卷号21期号:6
英文摘要Traits can provide a window into the mechanisms that maintain coexistence among competing species. Recent theory suggests that competitive interactions will lead to groups, or clusters, of species with similar traits. However, theoretical predictions typically assume complete knowledge of the map between competition and measured traits. These assumptions limit the plausible application of these patterns for inferring competitive interactions in nature. Here, we relax these restrictions and find that the clustering pattern is robust to contributions of unknown or unobserved niche axes. However, it may not be visible unless measured traits are close proxies for niche strategies. We conclude that patterns along single niche axes may reveal properties of interspecific competition in nature, but detecting these patterns requires natural history expertise firmly tying traits to niches. © 2018 John Wiley & Sons Ltd/CNRS
英文关键词Community structure; competition; functional traits; noise; self- organized similarity; species clusters; trait pattern; uncertainty
语种英语
scopus关键词cluster analysis; phenotype; uncertainty; Cluster Analysis; Phenotype; Uncertainty
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/121316
作者单位Department Plant Biology, University of Illinois at Urbana-Champaign, Champaign, IL, United States; Department Ecology & Evolutionary Biology, University of Michigan, Ann Arbor, MI, United States
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D'Andrea R.,Ostling A.,O'Dwyer J.P.. Translucent windows: how uncertainty in competitive interactions impacts detection of community pattern[J],2018,21(6).
APA D'Andrea R.,Ostling A.,&O'Dwyer J.P..(2018).Translucent windows: how uncertainty in competitive interactions impacts detection of community pattern.Ecology Letters,21(6).
MLA D'Andrea R.,et al."Translucent windows: how uncertainty in competitive interactions impacts detection of community pattern".Ecology Letters 21.6(2018).
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