Hernández-Pacheco Raisa, Steiner Ulrich K
Am Nat. 2017 Dec;190(6):E132-E144. doi: 10.1086/694317. Epub 2017 Oct 19.
Heterogeneity in life courses among individuals of a population influences the speed of adaptive evolutionary processes, but it is less clear how biotic and abiotic environmental fluctuations influence such heterogeneity. We investigate principal drivers of variability in sequence of stages during an individual's life in a stage-structured population. We quantify heterogeneity by measuring population entropy of a Markov chain, which computes the rate of diversification of individual life courses. Using individual data of a primate population, we show that density regulates the stage composition of the population but that its entropy and the generating moments of heterogeneity are independent of density. This lack of influence of density on heterogeneity is due to neither low year-to-year variation in entropy nor differences in survival among stages but is rather due to differences in stage transitions. Our analysis thus shows that well-known classical ecological selective forces, such as density regulation, are not linked to potential selective forces governing heterogeneity through underlying stage dynamics. Despite evolution acting heavily on individual variability in fitness components, our understanding is poor whether observed heterogeneity is adaptive and how it evolves and is maintained. Our analysis illustrates how entropy represents a more integrated measure of diversity compared to the population structural composition, giving us new insights about the underlying drivers of individual heterogeneity within populations and potential evolutionary mechanisms.
种群中个体生命历程的异质性会影响适应性进化过程的速度,但生物和非生物环境波动如何影响这种异质性尚不清楚。我们研究了一个阶段结构种群中个体生命阶段序列变异性的主要驱动因素。我们通过测量马尔可夫链的种群熵来量化异质性,马尔可夫链计算个体生命历程的多样化速率。利用一个灵长类种群的个体数据,我们表明密度调节种群的阶段组成,但其熵和异质性的生成矩与密度无关。密度对异质性缺乏影响既不是由于熵的逐年变化低,也不是由于各阶段生存差异,而是由于阶段转换的差异。因此,我们的分析表明,诸如密度调节等著名的经典生态选择力,并非通过潜在的阶段动态与控制异质性的潜在选择力相关联。尽管进化对适应度成分的个体变异性有很大影响,但我们对观察到的异质性是否具有适应性以及它如何进化和维持的了解仍然很少。我们的分析说明了与种群结构组成相比,熵如何代表一种更综合的多样性度量,这使我们对种群内个体异质性的潜在驱动因素和潜在进化机制有了新的认识。