Emerging spatiotemporal patterns in cyclic predator-prey systems with habitats

Mir, Hana; Stidham, James; Pleimling, Michel

doi:10.1103/physreve.105.054401

Cited by 7 publications

(2 citation statements)

References 54 publications

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“…To make our observations comparable with previous works [45,46,47,48,49,50], we assume that species are distributed on an L × L square lattice where periodic boundary conditions are applied. Each node is occupied by one of the species which are denoted by X i where indexes are from i = 0 to 7.…”

Section: Alliances Formed At Different Levelsmentioning

confidence: 84%

Competition of alliances in a cyclically dominant eight-species population

Park

Chen

Szolnoki

2023

Chaos, Solitons & Fractals

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Section: Alliances Formed At Different Levelsmentioning

confidence: 84%

Competition of alliances in a cyclically dominant eight-species population

Park

Chen

Szolnoki

2023

Chaos, Solitons & Fractals

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“…Experimental in-vitro as well as in-vivo systems are often exposed to varying nutrients, which affects species survival. Therefore the modelling of population dynamics with temporally varying environments has gained attention in recent years [47][48][49][61][62][63][64][65][66][67][68][69][70][71][72][73][74][75]. Traditionally, fluctuations in the environment are modelled as variable reaction rates [48,49,62,65,[70][71][72][73] which usually enter linearly.…”

Section: Introductionmentioning

confidence: 99%

Lotka-Volterra predator-prey model with periodically varying carrying capacity

Mohamed

Täuber

2023

Phys. Rev. E

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We study the stochastic spatial Lotka-Volterra model for predator-prey interaction subject to a periodically varying carrying capacity. The Lotka-Volterra model with on-site lattice occupation restrictions (i.e., finite local carrying capacity) that represent finite food resources for the prey population exhibits a continuous active-to-absorbing phase transition. The active phase is sustained by the existence of spatio-temporal patterns in the form of pursuit and evasion waves. Monte Carlo simulations on a two-dimensional lattice are utilized to investigate the effect of seasonal variations of the environment on species coexistence. The results of our simulations are also compared to a mean-field analysis in order to specifically delineate the impact of stochastic fluctuations and spatial correlations. We find that the parameter region of predator and prey coexistence is enlarged relative to the stationary situation when the carrying capacity varies periodically. The (quasi-)stationary regime of our periodically varying Lotka-Volterra predator-prey system shows qualitative agreement between the stochastic model and the mean-field approximation. However, under periodic carrying capacity switching environments, the mean-field rate equations predict period-doubling scenarios that are washed out by internal reaction noise in the stochastic lattice model. Utilizing visual representations of the lattice simulations and dynamical correlation functions, we study how the pursuit and evasion waves are affected by ensuing resonance effects. Correlation function measurements indicate a time delay in the response of the system to sudden changes in the environment. Resonance features are observed in our simulations that cause prolonged persistent spatial correlations. Different effective static environments are explored in the extreme limits of fast-and slow periodic switching. The analysis of the mean-field equations in the fast-switching regime enables a semi-quantitative description of the (quasi-)stationary state.

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