复杂社区的反应性可能比稳定性更重要
Yuguang Yang1, Katharine Z Coyte2, Kevin R Foster3,4
1Center for Systems and Control, College of Engineering, Peking University, 100871, Beijing, China.
Nature communications
|November 8, 2023
概括
生态系统可能并不总是会在干扰后恢复到原来的状态. 短期动态或反应性可以比传统的稳定性措施更好地预测生态系统结果和灭绝风险.
科学领域:
- 生态生态学 生态生态学
- 复杂系统理论 复杂系统理论
- 数学生物学 数学生物学
背景情况:
- 生态系统的稳定性,即社区在受到干扰后恢复到原来的状态的能力,是生态学的核心概念.
- 传统的生态系统稳定性测量方法可能无法完全捕捉复杂生态系统的动态.
研究的目的:
- 挑战传统的关注复杂生态系统的稳定性.
- 调查短期动态的实用性,称为"反应性",作为生态系统结果的预测.
- 评估生态社区中反应性和灭绝风险之间的关系.
主要方法:
- 应用随机矩阵理论来建模复杂生态系统对小扰动的即时反应.
- 分析各种相互作用结构和复杂性的社区动态.
- 与传统稳定性指标相比,作为预测指标的反应性的比较.
主要成果:
- 许多复杂的社区表现出"反应性",在这种情况下,对扰动的初始反应被放大,与稳定性预测相反.
- 反应性在复杂的社区中尤其普遍,这些社区具有混合的互动和结构化的网络.
- 反应性被证明是比稳定性更有效的灭绝风险预测指标,特别是在频繁的环境变化下.
结论:
- 短期动态 (反应性) 提供了对生态系统行为的关键见解,补充了传统的稳定性措施.
- 反应性是评估生态系统健康的基本指标,特别是在面对不断增加的环境干扰的情况下.
- 了解反应性对于预测生态系统弹性和管理生态风险至关重要.
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