动物组合中的竞争性层次结构通过保持短和长的反环弱来减轻网络不稳定性
Franziska Koch1,2, Anje-Margriet Neutel3, David K A Barnes3
1University of Tübingen, Tübingen, Germany. franziska.koch@uni-hohenheim.de.
Communications biology
|July 4, 2023
概括
生态社区中的竞争性层次结构可能会导致不稳定. 然而,这项研究表明,尽管存在层次结构,但不对称的竞争可以减轻多种组合中的不稳定性.
科学领域:
- 生态生态学 生态生态学
- 社区生态学社区生态学
- 生态稳定性 生态稳定性
背景情况:
- 理论上,竞争性等级会导致不稳定,并阻碍物种在生态社区中的共存.
- 之前的研究并没有经验测试系统稳定性,也没有解释复杂竞争网络中层次结构和不稳定性之间的联系.
研究的目的:
- 测试多种竞争网络的模型稳定性.
- 研究竞争层次和生态不稳定之间的关系.
- 解释干扰竞争如何影响社区稳定.
主要方法:
- 分析了30个多种类的动物组合.
- 从观察到的干扰竞争中估计的能量损失,以参数化物种间和物种内相互作用.
- 模拟竞争网络以评估稳定性.
主要成果:
- 所有模拟的竞争网络都被发现是不稳定的.
- 由于竞争性层次结构导致的能量损失率不对称,不稳定性被显著减少.
- 不对称的相互作用优势,由于等级组织,降低了反循环的影响,从而减少了不稳定性.
结论:
- 干扰竞争导致生态社区的不稳定和排斥.
- 竞争性层次结构虽然导致不稳定,但矛盾的是,可以通过不对称的相互作用来缓解不稳定.
- 尽管有竞争性层次结构,但不是因为竞争层次结构而实现了社区的稳定.
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