title: Effects of competition on pattern formation in the rock-paper-scissors game.
abstract: We investigate the impact of cyclic competition on pattern formation in the rock-paper-scissors game. By separately considering random and prepared initial conditions, we observe a critical influence of the competition rate p on the stability of spiral waves and on the emergence of biodiversity. In particular, while increasing values of p promote biodiversity, they may act detrimentally on spatial pattern formation. For random initial conditions, we observe a phase transition from biodiversity to an absorbing phase, whereby the critical value of mobility grows linearly with increasing values of p on a log-log scale but then saturates as p becomes large. For prepared initial conditions, we observe the formation of single-armed spirals, but only for values of p that are below a critical value. Once above that value, the spirals break up and form disordered spatial structures, mainly because of the percolation of vacant sites. Thus there exists a critical value of the competition rates p(c) for stable single-armed spirals in finite populations. Importantly though, p(c) increases with increasing system size because noise reinforces the disintegration of ordered patterns. In addition, we also find that p(c) increases with the mobility. These phenomena are reproduced by a deterministic model that is based on nonlinear partial differential equations. Our findings indicate that competition is vital for the sustenance of biodiversity and the emergence of pattern formation in ecosystems governed by cyclical interactions.
authors.affiliation: College of Physics and Electronic Information Engineering, Wenzhou University, Wenzhou 325027, China.
authors.forename: Luo-Luo
authors.initials: LL
authors.lastname: Jiang
authors.forename: Tao
authors.initials: T
authors.lastname: Zhou
authors.forename: Matjaž
authors.initials: M
authors.lastname: Perc
authors.forename: Bing-Hong
authors.initials: BH
authors.lastname: Wang
mesh_terms: D003163:Competitive Behavior; D005717:Games, Experimental; D008962:Models, Theoretical; D009010:Monte Carlo Method; D010363:Pattern Recognition, Automated