超多样性,物种丰富性,以及ESS和非ESS社区中的社区结构
Kailas Shankar Honasoge1, Tania L S Vincent2, Gordon G McNickle3
1Systems Decision Methods, Faculty of Technology, Policy, and Management, Delft University of Technology, 2628BX Delft, The Netherlands.
概括
数学模型显示,超和的社区,比进化稳定状态 (ESS) 有更多的物种,可以通过相互侵入性出现. 本研究探讨了生态进化动态中过度和的条件,发现它可以在各种生态模型中超过ESS极限.
科学领域:
- 生态进化的动态.
- 理论生态学的理论生态学.
- 数学生物学的数学生物学
背景情况:
- 在生态社区中物种的共存往往受到适应性景观的限制,需要山谷或山峰以保持稳定.
- 当物种特征与全球健康峰值保持一致时,进化稳定战略 (ESS) 社区是稳定的.
- 社区可以是不和的 (比ESS少的物种) 或过和的 (比ESS多的物种),过和是由于相互入侵造成的.
研究的目的:
- 通过数学建模,研究生态进化动态中过和的机制和极限.
- 探索过度和的社区如何可以超过ESS预测的物种数量.
- 分析Lotka-Volterra竞争模型中超和发生的条件.
主要方法:
- 利用G函数方法来模拟利基共同进化和达尔文动态.
- 采用Lotka-Volterra竞争模型来模拟物种相互作用和特征进化.
- 分析了标量值和双变量战略空间,以确定共存的极限.
主要成果:
- 证实,高达2个物种 (标尺策略) 或3个物种 (双变策略) 的过和社区可以存在于单个物种ESS.
- 证明,对于一个2个物种的ESS,通过"跨越"ESS特征,4个物种可以共存.
- 观察到,在5个物种的ESS中,7个或8个物种可以共存,但不是9个或10个;无限数量的3个物种过度和的社区可以存在于一个单个物种的ESS中.
结论:
- 过度和的社区可以容纳比单种或多种ESS预测的更多的物种,特别是在具有低维策略的模型中.
- 这些发现建议对过度和社区中最大物种数量进行推测:n*(s+1),其中n是ESS物种数量,s是战略维度.
- 这项研究的见解与了解受入侵物种,气候变化和人类改变景观影响的现实生态系统有关,这些景观可能与ESS有所不同.
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