ICBM, Carl von Ossietzky University Oldenburg, Oldenburg, Lower Saxony, Germany.
University College Cork, Department of Applied Mathematics, Cork, Ireland.
J Theor Biol. 2019 Oct 21;479:64-72. doi: 10.1016/j.jtbi.2019.07.008. Epub 2019 Jul 11.
Critical transitions or regime shifts are sudden and unexpected changes in the state of an ecosystem, that are usually associated with dangerous levels of environmental change. However, recent studies show that critical transitions can also be triggered by dangerous rates of environmental change. In contrast to classical regime shifts, such rate-induced critical transitions do not involve any obvious loss of stability, or a bifurcation, and thus cannot be explained by the linear stability analysis. In this work, we demonstrate that the well-known Rosenzweig-MacArthur predator-prey model can undergo a rate-induced critical transition in response to a continuous decline in the habitat quality, resulting in a collapse of the predator and prey populations. Rather surprisingly, the collapse occurs even if the environmental change is slower than the slowest process in the model. To explain this counterintuitive phenomenon, we combine methods from geometric singular perturbation theory with the concept of a moving equilibrium, and study critical rates of environmental change with dependence on the initial state and the system parameters. Moreover, for a fixed rate of environmental change, we determine the set of initial states that undergo a rate-induced population collapse. Our results suggest that ecosystems may be more sensitive to how fast environmental conditions change than previously assumed. In particular, unexpected critical transitions with dramatic ecological consequences can be triggered by environmental changes that (i) do not exceed any dangerous levels, and (ii) are slower than the natural timescales of the ecosystem. This poses an interesting research question whether regime shifts observed in the natural world are predominantly rate-induced or bifurcation-induced.
临界点或状态转变是生态系统状态的突然和意外变化,通常与环境变化的危险水平有关。然而,最近的研究表明,临界点也可以由危险的环境变化率引发。与经典的状态转变不同,这种速率诱导的临界点不涉及任何明显的失稳或分叉,因此不能用线性稳定性分析来解释。在这项工作中,我们证明了著名的 Rosenzweig-MacArthur 捕食者-猎物模型可以对栖息地质量的持续下降做出响应,从而引发捕食者和猎物种群的崩溃,从而经历一个速率诱导的临界点。令人惊讶的是,即使环境变化比模型中最慢的过程慢,崩溃也会发生。为了解释这种违反直觉的现象,我们将几何奇异摄动理论的方法与移动平衡的概念相结合,并研究了环境变化率与初始状态和系统参数的依赖性。此外,对于固定的环境变化率,我们确定了经历速率诱导种群崩溃的初始状态集。我们的结果表明,生态系统可能对环境条件变化的速度比以前假设的更为敏感。特别是,具有显著生态后果的意外临界点可能由以下环境变化引发:(i) 不超过任何危险水平,(ii) 比生态系统的自然时间尺度慢。这就提出了一个有趣的研究问题,即在自然界中观察到的状态转变是主要由速率诱导还是分叉诱导。