Non-equilibrium relaxation in a stochastic lattice Lotka-Volterra model.
We employ Monte Carlo simulations to study a stochastic Lotka-Volterra model on a two-dimensional square lattice with periodic boundary conditions. If the (local) prey carrying capacity is finite, there exists an extinction threshold for the predator population that separates a stable active two-species coexistence phase from an inactive state wherein only prey survive. Holding all other rates fixed, we investigate the non-equilibrium relaxation of the predator density in the vicinity of the critical predation rate. As expected, we observe critical slowing-down, i.e., a power law dependence of the relaxation time on the predation rate, and algebraic decay of the predator density at the extinction critical point. The numerically determined critical exponents are in accord with the established values of the directed percolation universality class. Following a sudden predation rate change to its critical value, one finds critical aging for the predator density autocorrelation function that is also governed by universal scaling exponents. This aging scaling signature of the active-to-absorbing state phase transition emerges at significantly earlier times than the stationary critical power laws, and could thus serve as an advanced indicator of the (predator) population's proximity to its extinction threshold.
Department of Physics (MC 0435), Center for Soft Matter and Biological Physics, Robeson Hall, 850 West Campus Drive, Virginia Tech, Blacksburg, VA 24061, USA.
Sheng
S
Chen
Uwe C
UC
Täuber
D000818:Animals; D003198:Computer Simulation; D008954:Models, Biological; D009010:Monte Carlo Method; D011157:Population Dynamics; D011235:Predatory Behavior; D013269:Stochastic Processes