资源竞争可以解释微生物社区组装中的简单性
Hyunseok Lee1, Blox Bloxham1, Jeff Gore1
1Physics of Living Systems, Department of Physics, Massachusetts Institute of Technology, Cambridge, MA 02139.
概括
社区组装预测得到了简化:双对竞争结果准确地预测了多个物种社区的组成,即使是复杂的资源动态和交叉养相互作用.
科学领域:
- 生态生态学 生态生态学
- 理论生态学理论生态学
- 数学生物学 数学生物学
背景情况:
- 预测社区的组成和多样性是一个关键的生态挑战.
- 实验室的微观宇宙经常表现出基于对对竞争结果的简单社区集会规则.
- 对于这种对对竞争的预测能力的机制基础尚不清楚.
研究的目的:
- 阐明来自资源竞争的简单社区集会模式的机械起源.
- 为了确定在哪些条件下,双对竞争准确地预测了多种群的社区组合.
- 调查交叉养对组装规则可预测性的影响.
主要方法:
- 消费者资源模型的几何分析.
- 根据三个资源,确定所有可能的三人社区集会结果.
- 模拟社区集会,使用不同数量的资源和物种.
- 使用对式分数的和平均值进行社区组成的定量预测.
主要成果:
- 三人社区的组建可以从双对结果中预测,当一个物种在每个资源上都有增长优势时.
- 在所有可能的三人组合结果中,只有两个违反了组合规则.
- 配对竞争准确地预测了多达十二个物种和100个资源的社区的组装.
- 交叉养相互作用不会降低组装规则预测的准确性.
结论:
- 简单的社区集会模式可以从潜在的资源竞争动态中出现.
- 配对竞争为社区集会提供了强大而准确的预测框架.
- 这些发现甚至适用于复杂的生态场景,具有多种资源和物种间相互作用.
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