Department of Evolution and Biodiversity of Plants, Ruhr-Universität Bochum, Universitätsstraße 150, 44801 Bochum, Germany.
Moritz Laboratory, Division of Ecology and Evolution, Centre for Biodiversity Analysis, Research School of Biology, RN Robertson Bldg, Level 2, West Wing (W208), 46 Sullivans Creek Rd, Australian National University, Acton ACT 2601, Australia.
Syst Biol. 2020 Jan 1;69(1):61-75. doi: 10.1093/sysbio/syz034.
The ability of lineages to disperse long distances over evolutionary timescales may be influenced by the gain or loss of traits adapted to enhance local, ecological dispersal. For example, some species in the southern conifer family Podocarpaceae have fleshy cones that encourage bird dispersal, but it is unknown how this trait has influenced the clade's historical biogeography, or its importance compared with other predictors of dispersal such as the geographic distance between regions. We answer these questions quantitatively by using a dated phylogeny of 197 species of southern conifers (Podocarpaceae and their sister family Araucariaceae) to statistically compare standard, trait-independent biogeography models with new BioGeoBEARS models where an evolving trait can influence dispersal probability, and trait history, biogeographical history, and model parameters are jointly inferred. We validate the method with simulation-inference experiments. Comparing all models, those that include trait-dependent dispersal accrue 87.5% of the corrected Akaike Information Criterion (AICc) model weight. Averaged across all models, lineages with nonfleshy cones had a dispersal probability multiplier of 0.49 compared with lineages with fleshy cones. Distance is included as a predictor of dispersal in all credible models (100% model weight). However, models with changing geography earned only 22.0% of the model weight, and models submerging New Caledonia/New Zealand earned only 0.01%. The importance of traits and distance suggests that long-distance dispersal over macroevolutionary timespans should not be thought of as a highly unpredictable chance event. Instead, long-distance dispersal can be modeled, allowing statistical model comparison to quantify support for different hypotheses.
谱系在进化时间尺度上长距离扩散的能力可能受到适应于增强局部生态扩散的特征的获得或丧失的影响。例如,南洋杉科南部针叶树家族中的一些物种具有肉质的球果,这有助于鸟类传播,但尚不清楚这种特征如何影响该进化枝的历史生物地理学,或者与地理距离等其他传播预测因素相比,其重要性如何。我们通过使用 197 种南部针叶树(南洋杉科及其姊妹科南洋杉科)的已校准系统发育树来定量回答这些问题,这些物种在统计上比较了标准的、与特征无关的生物地理学模型与新的 BioGeoBEARS 模型,其中进化的特征可以影响扩散的概率以及特征历史、生物地理学历史和模型参数是共同推断的。我们通过模拟推理实验验证了该方法。在比较所有模型时,包含特征依赖性扩散的模型累积获得了校正 Akaike 信息准则(AICc)模型权重的 87.5%。在所有模型中,平均而言,无肉质球果的谱系的扩散概率乘数为 0.49,而具有肉质球果的谱系的扩散概率乘数为 0.49。在所有可信模型中(模型权重为 100%),距离都被包括作为扩散的预测因子。然而,具有变化地理的模型仅获得了 22.0%的模型权重,而淹没新喀里多尼亚/新西兰的模型仅获得了 0.01%。特征和距离的重要性表明,在宏观进化时间跨度上的长距离扩散不应被视为高度不可预测的偶然事件。相反,可以对长距离扩散进行建模,从而允许对不同假设进行统计模型比较,以量化支持程度。