Divison of Geological and Planetary Sciences, California Institute of Technology, Pasadena, California 91125, USA.
Center for the Study of Complex Systems, University of Michigan, Ann Arbor, Michigan 48109-1107, USA; Department of Mathematics, University of Michigan, Ann Arbor, Michigan 48109-1043, USA; and Department of Physics, University of Michigan, Ann Arbor, Michigan 48109-1040, USA.
Phys Rev E. 2017 Oct;96(4-1):042411. doi: 10.1103/PhysRevE.96.042411. Epub 2017 Oct 30.
Understanding the mechanisms governing population extinctions is of key importance to many problems in ecology and evolution. Stochastic factors are known to play a central role in extinction, but the interactions between a population's demographic stochasticity and environmental noise remain poorly understood. Here we model environmental forcing as a stochastic fluctuation between two states, one with a higher death rate than the other. We find that, in general, there exists a rate of fluctuations that minimizes the mean time to extinction, a phenomenon previously dubbed "resonant activation." We develop a heuristic description of the phenomenon, together with a criterion for the existence of resonant activation. Specifically, the minimum extinction time arises as a result of the system approaching a scenario wherein the severity of rare events is balanced by the time interval between them. We discuss our findings within the context of more general forms of environmental noise and suggest potential applications to evolutionary models.
了解控制种群灭绝的机制对于生态学和进化学中的许多问题都至关重要。随机因素在灭绝中起着核心作用,但种群的人口随机性和环境噪声之间的相互作用仍知之甚少。在这里,我们将环境驱动力建模为两种状态之间的随机波动,一种状态的死亡率高于另一种状态。我们发现,一般来说,存在一个使灭绝平均时间最小化的波动速率,这一现象以前被称为“共振激活”。我们提出了一种对该现象的启发式描述,并提出了存在共振激活的判据。具体来说,最小灭绝时间的出现是由于系统接近一种情况,即稀有事件的严重程度与它们之间的时间间隔相平衡。我们在更一般形式的环境噪声的背景下讨论了我们的发现,并提出了潜在的应用于进化模型的建议。