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阿利效应加噪声导致种群动态呈现类似二元马尔可夫的高低起伏。

Allee Effects Plus Noise Induce Population Dynamics Resembling Binary Markov Highs and Lows.

作者信息

Gordillo Luis F, Greenwood Priscilla E

机构信息

Department of Mathematics and Statistics, Utah State University, Logan, UT, USA.

Department of Mathematics, University of British Columbia, Vancouver, BC, Canada.

出版信息

Bull Math Biol. 2022 Apr 24;84(6):60. doi: 10.1007/s11538-022-01017-3.

Abstract

We show that the combination of Allee effects and noise can produce a stochastic process with alternating sudden decline to a low population phase, followed, after a random time, by abrupt increase in population density. We introduce a new, flexible, deterministic model of attenuated Allee effects, which interpolates between the logistic and a usual Allee model. Into this model, we incorporate environmental and demographic noise. The solution of the resulting Kolmogorov forward equation shows a dichotomous distribution of residence times with heavy occupation of high, near saturation, and low population states. Investigation of simulated sample paths reveals that indeed attenuated Allee effects and noise, acting together, produce alternating, sustained, low and high population levels. We find that the transition times between the two types of states are approximately exponentially distributed, with different parameters, rendering the embedded hi-low process approximately Markov.

摘要

我们表明,阿利效应与噪声的结合可产生一个随机过程,该过程交替出现突然下降至低种群阶段,然后在随机时间后种群密度急剧增加。我们引入了一个新的、灵活的、衰减阿利效应的确定性模型,该模型在逻辑斯蒂模型和通常的阿利模型之间进行插值。在这个模型中,我们纳入了环境和人口统计学噪声。所得柯尔莫哥洛夫前向方程的解显示了停留时间的二分分布,高、接近饱和和低种群状态被大量占据。对模拟样本路径的研究表明,衰减的阿利效应和噪声共同作用确实会产生交替、持续的低种群和高种群水平。我们发现两种状态之间的转换时间近似呈指数分布,参数不同,使得嵌入的高低过程近似为马尔可夫过程。

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