Department of Mathematics and Statistics, Indian Institute of Technology Kanpur, Kanpur, 208016, Uttar Pradesh, India.
Institut Camille Jordan, UMR 5208 CNRS, University Lyon 1, 69622, Villeurbanne, France.
Bull Math Biol. 2021 Mar 29;83(5):52. doi: 10.1007/s11538-021-00886-4.
In nature, different species compete among themselves for common resources and favorable habitat. Therefore, it becomes really important to determine the key factors in maintaining the bio-diversity. Also, some competing species follow cyclic competition in real world where the competitive dominance is characterized by a cyclic ordering. In this paper, we study the formation of a wide variety of spatiotemporal patterns including stationary, periodic, quasi-periodic and chaotic population distributions for a diffusive Lotka-Volterra type three-species cyclic competition model with two different types of cyclic ordering. For both types of cyclic ordering, the temporal dynamics of the corresponding non-spatial system show the extinction of two species through global bifurcations such as homoclinic and heteroclinic bifurcations. For the spatial system, we show that the existence of Turing patterns is possible for a particular cyclic ordering, while it is not the case for the other cyclic ordering through both the analytical and numerical methods. Further, we illustrate an interesting scenario of short-range invasion as opposed to the usual invasion phenomenon over the entire habitat. Also, our study reveals that both the stationary and dynamic population distributions can coexist in different parts of a habitat. Finally, we extend the spatial system by incorporating nonlocal intra-specific competition terms for all the three competing species. Our study shows that the introduction of nonlocality in intra-specific competitions stabilizes the system dynamics by transforming a dynamic population distribution to stationary. Surprisingly, this nonlocality-induced stationary pattern formation leads to the extinction of one species and hence, gives rise to the loss of bio-diversity for intermediate ranges of nonlocality. However, the bio-diversity can be restored for sufficiently large extent of nonlocality.
在自然界中,不同物种之间为了共同的资源和有利的栖息地而相互竞争。因此,确定维持生物多样性的关键因素变得非常重要。此外,在现实世界中,一些竞争物种遵循循环竞争,其中竞争优势具有循环排序的特征。在本文中,我们研究了广泛的时空模式的形成,包括扩散的Lotka-Volterra 型三种物种循环竞争模型的固定、周期性、准周期性和混沌种群分布,该模型具有两种不同类型的循环排序。对于这两种类型的循环排序,相应的非空间系统的时间动态通过全局分叉(如同宿和异宿分叉)显示出两种物种的灭绝。对于空间系统,我们表明,对于特定的循环排序,存在 Turing 模式的可能性,而对于另一种循环排序,则不存在通过分析和数值方法。此外,我们通过分析和数值方法展示了一个有趣的短程入侵场景,而不是通常的整个栖息地入侵现象。此外,我们的研究表明,固定和动态种群分布可以在栖息地的不同部分共存。最后,我们通过为所有三种竞争物种引入非局部种内竞争项来扩展空间系统。我们的研究表明,种内竞争中非局部性的引入通过将动态种群分布转换为静态来稳定系统动力学。令人惊讶的是,这种非局部诱导的静态模式形成导致一种物种的灭绝,从而导致非局部性中间范围的生物多样性丧失。然而,对于足够大的非局部性范围,生物多样性可以得到恢复。