随着恐惧效应和反控制的随机猎物捕食者模型的动态分析
Yan Zhang1,2, Feng Lai1,2, Shujing Gao1,2
1School of Mathematics and Computer Science, Gannan Normal University, Ganzhou People's Republic of China.
Journal of biological dynamics
|March 17, 2025
概括
这项研究检查了猎物掠食者模型,揭示了恐惧效应和猎物避难所显著影响生态系统动态. 中间反控制最能支持物种的共存和可持续性.
科学领域:
- 生态生态学 生态生态学
- 数学生物学 数学生物学
- 理论生态学理论生态学
背景情况:
- 猎物-掠食者模型对于理解生态系统动态至关重要.
- 结合诸如恐惧,避难和控制等因素,增强了生态现实主义.
- 以前的模型往往缺乏对随机效应和反机制的全面分析.
研究的目的:
- 研究确定性和随机性猎物-掠食者模型的复杂动态.
- 分析恐惧效应,猎物避难所和反控制对人口稳定的影响.
- 确定物种在这些生态系统中灭绝和持续存在的条件.
主要方法:
- 全球稳定性和决定性模型的正平衡的独特性.
- 分析使用Lyapunov函数对随机模型的全局正解的存在,独特性和边界性.
- 建立物种灭绝和持续存在的充分条件.
主要成果:
- 恐惧效应和猎物避难所显著改变了系统动态.
- 中间反控制强度似乎对物种共存最有利.
- 该研究为理解生态系统可持续性的理论框架.
结论:
- 生态可持续性受到掠食者与猎物的相互作用,恐惧和避难所的影响.
- 可以优化反控制策略,以促进生物多样性.
- 随机性在人口动态和生态系统稳定性中起着至关重要的作用.
相关概念视频
Predator-Prey Interactions
16.0K
Predators consume prey for energy. Predators that acquire prey and prey that avoid predation both increase their chances of survival and reproduction (i.e., fitness). Routine predator-prey interactions elicit mutual adaptations that improve predator offenses, such as claws, teeth, and speed, as well as prey defenses, including crypsis, aposematism, and mimicry. Thus, predator-prey interactions resemble an evolutionary arms race.
16.0K
Effects of feedback
497
Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
497
Time-Domain Interpretation of PD Control
78
Proportional-Derivative (PD) control is a widely used control method in various engineering systems to enhance stability and performance. In a system with only proportional control, common issues include high maximum overshoot and oscillation, observed in both the error signal and its rate of change. This behavior can be divided into three distinct phases: initial overshoot, subsequent undershoot, and gradual stabilization.
Consider the example of control of motor torque. Initially, a positive...
Consider the example of control of motor torque. Initially, a positive...
78
Feedback control systems
264
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
264
Second Order systems II
76
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
76
Control System Problem
94
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
94


