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草原模型中的冲动性火干扰:树-草共存状态、多稳定系统状态和恢复力。

Impulsive Fire Disturbance in a Savanna Model: Tree-Grass Coexistence States, Multiple Stable System States, and Resilience.

机构信息

Department of Mathematics and Statistics, Mount Holyoke College, 50 College Street, South Hadley, MA, 01075, USA.

John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, 02138, USA.

出版信息

Bull Math Biol. 2021 Sep 30;83(11):113. doi: 10.1007/s11538-021-00944-x.

Abstract

Savanna ecosystems are shaped by the frequency and intensity of regular fires. We model savannas via an ordinary differential equation (ODE) encoding a one-sided inhibitory Lotka-Volterra interaction between trees and grass. By applying fire as a discrete disturbance, we create an impulsive dynamical system that allows us to identify the impact of variation in fire frequency and intensity. The model exhibits three different bistability regimes: between savanna and grassland; two savanna states; and savanna and woodland. The impulsive model reveals rich bifurcation structures in response to changes in fire intensity and frequency-structures that are largely invisible to analogous ODE models with continuous fire. In addition, by using the amount of grass as an example of a socially valued function of the system state, we examine the resilience of the social value to different disturbance regimes. We find that large transitions ("tipping") in the valued quantity can be triggered by small changes in disturbance regime.

摘要

热带稀树草原生态系统由定期火灾的频率和强度所塑造。我们通过一个常微分方程(ODE)来模拟稀树草原,该方程编码了树木和草之间单向抑制的Lotka-Volterra 相互作用。通过将火灾作为离散干扰,我们创建了一个脉冲动力系统,使我们能够确定火灾频率和强度变化的影响。该模型表现出三种不同的双稳状态:稀树草原和草原之间;两种稀树草原状态;以及稀树草原和林地。脉冲模型揭示了丰富的分岔结构,以响应火灾强度和频率的变化——这些结构在具有连续火灾的类似 ODE 模型中基本上是不可见的。此外,通过使用草的数量作为系统状态的社会价值的一个例子,我们研究了社会价值对不同干扰模式的弹性。我们发现,在有价值的数量上的大转变(“ tipping ”)可以由干扰模式的微小变化触发。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8e4/8484106/41ca9865f720/11538_2021_944_Fig1_HTML.jpg

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