DOI: 10.1111/ele.12946
Scopus记录号: 2-s2.0-85044592728
论文题名: Translucent windows: how uncertainty in competitive interactions impacts detection of community pattern
作者: D'Andrea R. ; Ostling A. ; O'Dwyer J.P.
刊名: Ecology Letters
ISSN: 1461023X
EISSN: 1461-0248
出版年: 2018
卷: 21, 期: 6 起始页码: 826
结束页码: 835
语种: 英语
英文关键词: Community structure
; competition
; functional traits
; noise
; self- organized similarity
; species clusters
; trait pattern
; uncertainty
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 Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/107443
Appears in Collections: 气候减缓与适应
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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
Recommended Citation:
D'Andrea R.,Ostling A.,O'Dwyer J.P.. Translucent windows: how uncertainty in competitive interactions impacts detection of community pattern[J]. Ecology Letters,2018-01-01,21(6)