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Fluctuations and correlations in lattice models for predator-prey interaction

Mauro Mobilia, Ivan T. Georgiev, and Uwe C. Täuber
Phys. Rev. E 73, 040903(R) – Published 26 April 2006

Abstract

Including spatial structure and stochastic noise invalidates the classical Lotka-Volterra picture of stable regular population cycles emerging in models for predator-prey interactions. Growth-limiting terms for the prey induce a continuous extinction threshold for the predator population whose critical properties are in the directed percolation universality class. We discuss the robustness of this scenario by considering an ecologically inspired stochastic lattice predator-prey model variant where the predation process includes next-nearest-neighbor interactions. We find that the corresponding stochastic model reproduces the above scenario in dimensions 1<d4, in contrast with the mean-field theory, which predicts a first-order phase transition. However, the mean-field features are recovered upon allowing for nearest-neighbor particle exchange processes, provided these are sufficiently fast.

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  • Received 31 August 2005

DOI:https://doi.org/10.1103/PhysRevE.73.040903

©2006 American Physical Society

Authors & Affiliations

Mauro Mobilia1,2,*, Ivan T. Georgiev3,2, and Uwe C. Täuber2

  • 1Arnold Sommerfeld Center for Theoretical Physics and CeNS, Department of Physics, Ludwig-Maximilians-Universität München, D-80333 Munich, Germany
  • 2Department of Physics and Center for Stochastic Processes in Science and Engineering, Virginia Polytechnic Institute and State University, Blacksburg, Virginia 24061-0435, USA
  • 3Integrated Finance Limited, 630 Fifth Avenue, Suite 450, New York, New York 10111, USA

  • *Electronic address: mauro.mobilia@physik.lmu.de

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Issue

Vol. 73, Iss. 4 — April 2006

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