Extinction transition in stochastic population dynamics in a random, convective environment
نویسنده
چکیده
Motivated by modeling the dynamics of a population living in a flowing medium where the environmental factors are random in space, we have studied an asymmetric variant of the one-dimensional contact process, where the quenched random reproduction rates are systematically greater in one direction than in the opposite one. The spatial disorder turns out to be a relevant perturbation but, according to results of Monte Carlo simulations, the behavior of the model at the extinction transition is different from the (infinite randomness) critical behavior of the disordered, symmetric contact process. Depending on the strength a of the asymmetry, the critical population drifts either with a finite velocity or with an asymptotically vanishing velocity as x(t) ∼ t, where μ(a) < 1. Dynamical quantities are nonself-averaging at the extinction transition; the survival probability, for instance, shows multiscaling, i.e. it is characterized by a broad spectrum of effective exponents. For a sufficiently weak asymmetry, a Griffiths phase appears below the extinction transition, where the survival probability decays as a non-universal power of the time while, above the transition, another extended phase emerges, where the front of the population advances anomalously with a diffusion exponent continuously varying with the control parameter. Extinction transition in stochastic population dynamics 2
منابع مشابه
Synchronization-induced persistence versus selection for habitats in spatially coupled ecosystems.
Critical population phase transitions, in which a persistent population becomes extinction-prone owing to environmental changes, are fundamentally important in ecology, and their determination is a key factor in successful ecosystem management. To persist, a species requires a suitable environment in a sufficiently large spatial region. However, even if this condition is met, the species does n...
متن کاملOn Optimal Harvesting Problems in Random Environments
Chao Zhu is an assistant professor at UWMilwaukee. His research interests include applied probability and stochastic processes; actuarial sciences and fi nance; computational linear algebra; and mathematical statistics. We consider the optimal harvesting problem for a single species living in random environments whose growth is given by a regimeswitching diff usion. Harvesting acts as a (stocha...
متن کاملSudden Extinction of a Critical Branching Process in Random Environment
Abstract. Let T be the extinction moment of a critical branching process Z = (Zn, n ≥ 0) in a random environment specified by iid probability generating functions. We study the asymptotic behavior of the probability of extinction of the process Z at moment n → ∞, and show that if the logarithm of the (random) expectation of the offspring number belongs to the domain of attraction of a non-gauss...
متن کاملSimulating Past Dynamics and Assessing Current Status of Markhoz Goat Population on Its Habitat
This study was conducted to collect comprehensive identification about Markhoz goat population and to simulate past dynamics of the population under its living conditions.Census data of the population size and the required parametersfor the simulation modelwere obtained frompublished data or were collected in its habitat in the last 3 years. In this study, past population dynamics and expected ...
متن کاملRare Event Extinction on Stochastic Networks
We consider the problem of extinction processes on random networks with a given structure. For sufficiently large well-mixed populations, the process of extinction of one or more state variable components occurs in the tail of the quasi-stationary probability distribution, thereby making it a rare event. Here we show how to extend the theory of large deviations to random networks to predict ext...
متن کامل