École Normale Supérieure, Paris Sciences et Lettres (PSL) Research University, Institut de Biologie de l'École Normale Supérieure (IBENS), CNRS, UMR 8197, INSERM U1024, 46 rue d'Ulm, F-75005, Paris, France.
Ecol Lett. 2019 Dec;22(12):2006-2017. doi: 10.1111/ele.13385. Epub 2019 Sep 10.
Competition can drive macroevolutionary change, for example during adaptive radiations. However, we still lack a clear understanding of how it shapes diversification processes and patterns. To better understand the macroevolutionary consequences of competition, as well as the signal left on phylogenetic data, we developed a model linking trait evolution and species diversification in an ecological context. We find four main results: first, competition spurs trait diversity but not necessarily species richness; second, competition produces slowdowns in species diversification even in the absence of explicit ecological limits, but not in phenotypic diversification even in the presence of such limits; third, early burst patterns do not provide a reliable way of testing for adaptive radiations; and fourth, looking for phylogenetic signal in trait data and support for phenotypic models incorporating competition is a better alternative. Our results clarify the macroevolutionary consequences of competition and could help design more powerful tests of adaptive radiations in nature.
竞争可以推动宏观进化变化,例如在适应性辐射期间。然而,我们仍然缺乏对其如何塑造多样化过程和模式的清晰理解。为了更好地了解竞争的宏观进化后果,以及在系统发育数据上留下的信号,我们在生态背景下开发了一个连接特征进化和物种多样化的模型。我们发现了四个主要结果:首先,竞争刺激了特征多样性,但不一定是物种丰富度;其次,即使没有明确的生态限制,竞争也会导致物种多样化的减缓,但不会导致表型多样化,即使存在这种限制;第三,早期爆发模式并不能提供一种可靠的方法来检验适应性辐射;第四,在特征数据中寻找系统发育信号,并支持包含竞争的表型模型,是一种更好的选择。我们的结果阐明了竞争的宏观进化后果,并有助于在自然界中设计更强大的适应性辐射检验。