Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen, the Netherlands.
Naturalis Biodiversity Center, Leiden, the Netherlands.
Evolution. 2023 Mar 1;77(3):670-681. doi: 10.1093/evolut/qpad006.
The application of state-dependent speciation and extinction models to phylogenetic trees has shown an important role for traits in diversification. However, this role remains comparatively unexplored on islands, which can include multiple independent clades resulting from different colonization events. To explore whether assuming no dependence on traits leads to bias in inference on island dynamics, we extend an island biodiversity model, DAISIE (Dynamic Assembly of Islands through Speciation, Immigration, and Extinction) to include trait-dependent diversification simulations, and evaluate the robustness of the inference model which ignores this trait-dependence. Our results indicate that when the differences between colonization, extinction, and speciation rates between trait states are moderate, the model shows negligible error for a variety of island diversity metrics, suggesting that island diversity dynamics can be accurately estimated without the need to explicitly model trait dependence. We conclude that for many biologically realistic scenarios with trait-dependent diversification and colonization, this simple trait-less inference model is informative and robust to trait effects on colonization, speciation, and extinction. Nonetheless, our new simulation model may provide a useful tool for studying patterns of trait variation.
状态依赖物种形成和灭绝模型在系统发育树上的应用表明,特征在多样化中起着重要作用。然而,这种作用在岛屿上的研究相对较少,岛屿上可能包括由于不同的殖民事件而产生的多个独立分支。为了探索是否假设不依赖于特征会导致岛屿动态推断的偏差,我们扩展了一个岛屿生物多样性模型 DAISIE(通过物种形成、移民和灭绝组装岛屿的动态),以包括与特征相关的多样化模拟,并评估忽略这种特征依赖性的推断模型的稳健性。我们的结果表明,当特征状态之间的殖民、灭绝和物种形成率的差异适中时,该模型对各种岛屿多样性指标的误差可以忽略不计,这表明不需要明确地模拟特征依赖性就可以准确估计岛屿多样性动态。我们得出结论,对于具有特征依赖性的多样化和殖民的许多生物学上合理的场景,这种简单的无特征推断模型在对殖民、物种形成和灭绝的特征影响方面是有信息的且稳健的。尽管如此,我们的新模拟模型可能为研究特征变异模式提供有用的工具。