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Phylogenetic prediction of the maximum per capita rate of population growth

机译:人均最大增长率的系统发育预测

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摘要

The maximum per capita rate of population growth, r, is a central measure of population biology. However, researchers can only directly calculate r when adequate time series, life tables and similar datasets are available. We instead view r as an evolvable, synthetic life-history trait and use comparative phylogenetic approaches to predict r for poorly known species. Combining molecular phylogenies, life-history trait data and stochastic macroevolutionary models, we predicted r for mammals of the Caniformia and Cervidae. Cross-validation analyses demonstrated that, even with sparse life-history data, comparative methods estimated r well and outperformed models based on body mass. Values of r predicted via comparative methods were in strong rank agreement with observed values and reduced mean prediction errors by approximately 68 per cent compared with two null models. We demonstrate the utility of our method by estimating r for 102 extant species in these mammal groups with unknown life-history traits.
机译:最高的人均人口增长率r是人口生物学的中心指标。但是,研究人员只能在有足够的时间序列,寿命表和类似数据集的情况下直接计算r。相反,我们将r视为可进化的,合成的生活史特征,并使用比较系统发育方法来预测未知物种的r。结合分子系统发育,生活史特征数据和随机宏观进化模型,我们预测了Caniformia和Cervidae哺乳动物的r。交叉验证分析表明,即使使用了稀疏的生命历史数据,比较方法也可以很好地估计出r,并且基于体重的模型的表现要好于其他模型。通过比较方法预测的r值与观测值高度吻合,与两个空模型相比,平均预测误差降低了约68%。我们通过估计这些生活史特征未知的哺乳动物群体中102种现存物种的r来证明我们方法的实用性。

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