论文标题
在不同环境中的进化动力学：连续噪声与离散噪声
Evolutionary Dynamics in a Varying Environment: Continuous versus Discrete Noise
论文作者
论文摘要
环境变化可以极大地影响人口竞争资源的竞争方式，从而塑造他们的发展。在这里，我们研究了受波动环境的人口动态，该环境由不同的承载能力根据二进制随机开关的及时不断变化，或者是由连续范围的噪声驱动的。我们考虑了两个竞争菌株的典型示例，一种菌株的生长略低于另一个，并且还考虑了缓慢应变是公共物品生产商的情况。通过系统地比较二进制与连续变化环境的效果，我们研究了不同的噪声统计数据（均值，方差）如何影响种群的规模和固定特性。我们表明，与二进制开关相比，与二进制开关相比，对于连续变化的环境，缓慢的应变固定概率也可以大大提高，即使载能能力的前两个矩一致。
Environmental variations can significantly influence how populations compete for resources, and hence shape their evolution. Here, we study population dynamics subject to a fluctuating environment modeled by a varying carrying capacity changing continuously in time according to either binary random switches, or by being driven by a noise of continuous range. We consider a prototypical example of two competing strains, one growing slightly slower than the other, and consider also the scenario where the slow strain is a public goods producer. By systematically comparing the effect of binary- versus continuously-varying environment, we study how different noise statistics (mean, variance) influence the population size and fixation properties. We show that the slow strain fixation probability can be greatly enhanced for a continuously-varying environment compared to binary switches, even when the first two moments of the carrying capacity coincide.
