The signature of competition in ecomorphological traits across the avian radiation.
The signature of competition in ecomorphological traits across the avian radiation.
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DOI：
10.1098/rspb.2020.1585
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发表时间：
2020-11-11
期刊：
影响因子：
--
通讯作者：
Thomas GH
中科院分区：
文献类型：
--
作者：
Chira AM;Cooney CR;Bright JA;Capp EJR;Hughes EC;Moody CJA;Nouri LO;Varley ZK;Thomas GH
对共享资源的竞争是生物多样性的一个根本驱动力。然而，在深时间表型进化的克里思和模式主要是研究使用性状进化模型，假设谱系相互独立地进化。因此，物种相互作用在驱动宏观进化动力学的作用仍然知之甚少。在这里，我们量化的患病率相关物种之间的竞争的生态形态特征的演变在整个鸟类辐射的签名。我们发现，机械性状模型占物种的相互作用对表型分化的影响提供了最好的适合的数据，至少有一个性状轴在27的59个分支之间的21和195种。在这种情况下，竞争的签名通常与积极的物种多样性依赖一致，由具有相似生态的谱系的积累驱动，我们发现很少有证据表明性状依赖或负多样性依赖的表型进化。总的来说，我们的研究结果表明，种间竞争的足迹往往是侵蚀的长期模式的表型多样化，和其他选择压力可能主要形状现存物种之间的生态形态多样性在宏观进化尺度。
Competition for shared resources represents a fundamental driver of biological diversity. However, the tempo and mode of phenotypic evolution in deep-time has been predominantly investigated using trait evolutionary models which assume that lineages evolve independently from each other. Consequently, the role of species interactions in driving macroevolutionary dynamics remains poorly understood. Here, we quantify the prevalence for signatures of competition between related species in the evolution of ecomorphological traits across the bird radiation. We find that mechanistic trait models accounting for the effect of species interactions on phenotypic divergence provide the best fit for the data on at least one trait axis in 27 out of 59 clades ranging between 21 and 195 species. Where it occurs, the signature of competition generally coincides with positive species diversity-dependence, driven by the accumulation of lineages with similar ecologies, and we find scarce evidence for trait-dependent or negative diversity-dependent phenotypic evolution. Overall, our results suggest that the footprint of interspecific competition is often eroded in long-term patterns of phenotypic diversification, and that other selection pressures may predominantly shape ecomorphological diversity among extant species at macroevolutionary scales.
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影响因子：
8.8
作者：
Chira AM;Cooney CR;Bright JA;Capp EJR;Hughes EC;Moody CJA;Nouri LO;Varley ZK;Thomas GH
通讯作者：
Thomas GH
影响因子：
2.9
作者：
Butler, MA;King, AA
通讯作者：
King, AA
影响因子：
64.8
作者：
Cooney CR;Bright JA;Capp EJR;Chira AM;Hughes EC;Moody CJA;Nouri LO;Varley ZK;Thomas GH
通讯作者：
Thomas GH
影响因子：
8.8
作者：
Aristide, Leandro;Morlon, Helene
通讯作者：
Morlon, Helene
影响因子：
56.9
作者：
Grant, Peter R.;Grant, B. Rosemary
通讯作者：
Grant, B. Rosemary