Extinction phase transitions in a model of ecological and evolutionary dynamics

Hatem Barghathi, Skye Tackkett and Thomas Vojta ()
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Hatem Barghathi: Missouri University of Science and Technology
Skye Tackkett: Missouri University of Science and Technology
Thomas Vojta: Missouri University of Science and Technology

The European Physical Journal B: Condensed Matter and Complex Systems, 2017, vol. 90, issue 7, 1-10

Abstract: Abstract We study the non-equilibrium phase transition between survival and extinction of spatially extended biological populations using an agent-based model. We especially focus on the effects of global temporal fluctuations of the environmental conditions, i.e., temporal disorder. Using large-scale Monte-Carlo simulations of up to 3 × 107 organisms and 105 generations, we find the extinction transition in time-independent environments to be in the well-known directed percolation universality class. In contrast, temporal disorder leads to a highly unusual extinction transition characterized by logarithmically slow population decay and enormous fluctuations even for large populations. The simulations provide strong evidence for this transition to be of exotic infinite-noise type, as recently predicted by a renormalization group theory. The transition is accompanied by temporal Griffiths phases featuring a power-law dependence of the life time on the population size.

Keywords: Statistical; and; Nonlinear; Physics (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1140/epjb/e2017-80220-7

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