Department of Ecology and Evolutionary Biology, University of Colorado Boulder, Boulder, USA.
Museum of Natural History, University of Colorado Boulder, Boulder, USA.
BMC Evol Biol. 2018 Aug 10;18(1):123. doi: 10.1186/s12862-018-1236-8.
Macroevolutionary modeling of species diversification plays important roles in inferring large-scale biodiversity patterns. It allows estimation of speciation and extinction rates and statistically testing their relationships with different ecological factors. However, macroevolutionary patterns are ultimately generated by microevolutionary processes acting at population levels, especially when speciation and extinction are considered protracted instead of point events. Neglecting the connection between micro- and macroevolution may hinder our ability to fully understand the underlying mechanisms that drive the observed patterns.
In this simulation study, we used the protracted speciation framework to demonstrate that distinct microevolutionary scenarios can generate very similar biodiversity patterns (e.g., latitudinal diversity gradient). We also showed that current macroevolutionary models may not be able to distinguish these different scenarios.
Given the compounded nature of speciation and extinction rates, one needs to be cautious when inferring causal relationships between ecological factors and macroevolutioanry rates. Future studies that incorporate microevolutionary processes into current modeling approaches are in need.
物种多样化的宏观进化建模在推断大规模生物多样性模式方面起着重要作用。它可以估计物种形成和灭绝的速度,并统计检验它们与不同生态因素的关系。然而,宏观进化模式最终是由种群水平上的微观进化过程产生的,特别是当物种形成和灭绝被认为是漫长的而不是点状事件时。忽视微观和宏观进化之间的联系可能会阻碍我们充分理解驱动观察到的模式的潜在机制的能力。
在这项模拟研究中,我们使用了渐进的物种形成框架来证明不同的微观进化场景可以产生非常相似的生物多样性模式(例如,纬度多样性梯度)。我们还表明,当前的宏观进化模型可能无法区分这些不同的场景。
鉴于物种形成和灭绝率的复合性质,在推断生态因素与宏观进化率之间的因果关系时需要谨慎。未来的研究需要将微观进化过程纳入当前的建模方法中。