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半透明窗口:竞争相互作用中的不确定性如何影响群落格局的检测。

Translucent windows: how uncertainty in competitive interactions impacts detection of community pattern.

机构信息

Department Plant Biology, University of Illinois at Urbana-Champaign, Champaign, IL, USA.

Department Ecology & Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA.

出版信息

Ecol Lett. 2018 Jun;21(6):826-835. doi: 10.1111/ele.12946. Epub 2018 Mar 30.

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.

摘要

特征可以提供一个窗口,了解维持竞争物种共存的机制。最近的理论表明,竞争相互作用将导致具有相似特征的物种群体或聚类。然而,理论预测通常假设对竞争与测量特征之间的映射有完整的了解。这些假设限制了这些模式在推断自然界中竞争相互作用的合理应用。在这里,我们放宽了这些限制,发现聚类模式对未知或未观察到的生态位轴的贡献具有稳健性。然而,除非测量特征是生态位策略的近似值,否则这种模式可能不可见。我们得出的结论是,沿着单一生态位轴的模式可能揭示自然界中种间竞争的特性,但检测这些模式需要自然历史专业知识,将特征与生态位紧密联系起来。

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