在Lotka-Volterra系统中的Canard,同临床循环和放松振荡与掠食者群体中的Allee效应
Jun Li1, Shimin Li2, Xiaoling Wang3
1School of Mathematics and Statistics, Xidian University, Xi'an 710071, People's Republic of China.
Chaos (Woodbury, N.Y.)
|July 17, 2023
概括
这项研究分析了带有Allee效应的Lotka-Volterra模型,揭示了独特的缓慢-快速动态. 它通过不均,波动的人口密度来解释突然的人口爆炸.
科学领域:
- 数学生物学 数学生物学
- 生态生态学 生态生态学
- 动态系统 动态系统
背景情况:
- 洛特卡-沃尔特拉模型是一个基础的生态模型.
- 艾利效应描述了低人口密度的人均增长的减少.
- 慢速系统表现出在不同的时间尺度上发生的动态.
研究的目的:
- 分析Lotka-Volterra模型的动态,其中包含了掠食者群体中的Allee效应.
- 在特定的参数条件下将系统归类为缓慢快速系统.
- 严格证明极限周期的独特性和稳定性,并研究像卡纳德爆炸和同临床分叉等现象.
主要方法:
- 罗特卡-沃尔特拉系统被归类为一种缓慢-快速系统.
- 应用一个双尺度框架来分析缓慢-快速的极限周期性集.
- 使用进入-退出函数来演示放松振荡.
- 构建一个过渡地图来分析同临床循环.
主要成果:
- 证明了慢速极限周期组的独特性和稳定性.
- 证明了放松振荡的存在,并分析了同临床循环,包括不常见的快慢跳慢类型.
- 确定了导致人口密度变化不均和缓慢快速周期性波动的条件.
结论:
- 该研究提供了一个复杂的生态模型的严格数学分析.
- 这些发现为现实世界人口中的突然人口密度爆炸提供了潜在的解释.
- 鉴定出的动态突出了在生态建模中考虑缓慢-快速行为的重要性.
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