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Directionality theory: an empirical study of an entropic principle in life‐history evolution

机译:方向性理论:生命历史演化中熵原理的实证研究

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摘要

Understanding the relationship between ecological constraints and life-history properties constitutes a central problem in evolutionary ecology. Directionality theory, a model of the evolutionary process based on demographic entropy, a measure of the uncertainty in the age of the mother of a randomly chosen newborn, provides an analytical framework for addressing this problem. The theory predicts that in populations that spend the greater part of their evolutionary history in the stationary growth phase (equilibrium species), entropy will increase. Equilibrium species will be characterized by high iteroparity and strong demographic stability. In populations that spend the greater part of their evolutionary history in the exponential growth phase (opportunistic species), entropy will decrease when population size is large, and will undergo random variation when population size is small. Opportunistic species will be characterized by weak iteroparity and weak demographic stability when population size is large, and random variations in these attributes when population size is small. This paper assesses the validity of these predictions by employing a demographic dataset of 66 species of perennial plants. This empirical analysis is consistent with directionality theory and provides support for its significance as an explanatory and predictive model of life-history evolution.
机译:理解生态约束与生活史特性之间的关系是进化生态学的核心问题。方向性理论是基于人口熵的进化过程模型,是对随机选择的新生儿的母亲年龄的不确定性进行度量的方法,它为解决此问题提供了分析框架。该理论预测,在静止增长阶段(平衡物种)花费大部分进化史的种群中,熵将增加。平衡物种的特征是高等位性和强大的人口统计稳定性。在指数增长阶段中花费大部分进化史的种群(机会物种),当种群规模较大时,熵将减小,而当种群规模较小时,熵将发生随机变化。当种群数量较大时,机会主义物种的特征是穷举性和人口稳定性差,而当种群数量较小时,这些属性的随机变化。本文通过使用66种多年生植物的人口统计学数据集评估了这些预测的有效性。这种经验分析与方向性理论是一致的,并为它作为生命历史演变的解释和预测模型的意义提供了支持。

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