School of Electrical, Computer, and Energy Engineering, Arizona State University, Tempe, AZ 85287, USA.
Department of Environmental Science and Policy, University of California, One Shields Avenue, Davis, CA 95616, USA.
J R Soc Interface. 2019 Sep 27;16(158):20190345. doi: 10.1098/rsif.2019.0345. Epub 2019 Sep 11.
Complex and nonlinear ecological networks can exhibit a tipping point at which a transition to a global extinction state occurs. Using real-world mutualistic networks of pollinators and plants as prototypical systems and taking into account biological constraints, we develop an ecologically feasible strategy to manage/control the tipping point by maintaining the abundance of a particular pollinator species at a constant level, which essentially removes the hysteresis associated with a tipping point. If conditions are changing so as to approach a tipping point, the management strategy we describe can prevent sudden drastic changes. Additionally, if the system has already moved past a tipping point, we show that a full recovery can occur for reasonable parameter changes only if there is active management of abundance, again due essentially to removal of the hysteresis. This recovery point in the aftermath of a tipping point can be predicted by a universal, two-dimensional reduced model.
复杂非线性生态网络可能会出现一个临界点,即向全球灭绝状态发生转变。利用传粉者和植物的真实互惠网络作为典型系统,并考虑到生物约束,我们开发了一种生态上可行的策略,通过将特定传粉者物种的丰度维持在一个恒定水平来管理/控制临界点,这实质上消除了与临界点相关的滞后现象。如果条件发生变化而接近临界点,我们所描述的管理策略可以防止突然的剧烈变化。此外,如果系统已经越过临界点,我们表明,只有通过积极管理丰度,才能在合理的参数变化下实现完全恢复,这主要是由于消除了滞后现象。这种临界点之后的恢复点可以通过一个通用的二维简化模型来预测。