期刊
BULLETIN OF MATHEMATICAL BIOLOGY
卷 83, 期 5, 页码 -出版社
SPRINGER
DOI: 10.1007/s11538-021-00886-4
关键词
Cyclic competition model; Diffusion; Nonlocal interactions; Hopf bifurcation; Turing instability; Pattern formation
资金
- Indian Institute of Technology Kanpur
- Ministry of Science and Higher Education of the Russian Federation [075-03-2020-223/3 (FSSF-2020-0018)]
- SERB grant [MTR/2018/000527]
This paper explores various spatiotemporal patterns formed by different species in natural competition, including cyclic competition models with periodic population distributions and Turing patterns; demonstrates the impact of different cyclic orderings on system dynamics; and discusses the effects of introducing nonlocal competition on species extinction and biodiversity.
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.
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