Translucent windows: how uncertainty in competitive interactions impacts detection of community pattern. (30th March 2018)

• Record Type: Journal Article
• Authors: D'Andrea, Rafael; Ostling, Annette; O'Dwyer, James P.
• Editors: Vasseur, David
• Is Part Of: Ecology letters. Volume 21:Number 6(2018)
• Page Start: 826
• Page End: 835
• Publication Date: 2018-03-30
• Subjects: Community structure -- competition -- functional traits -- noise -- self‐ organized similarity -- species clusters -- trait pattern -- uncertainty; Ecology -- Periodicals; 577
• DOI: 10.1111/ele.12946
• Languages: English
• ISSNs: 1461-023X

Abstract

Abstract: 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.