Predator-prey cycles from resonant amplification of demographic stochasticity.

We present the simplest individual level model of predator-prey dynamics and show, via direct calculation, that it exhibits cycling behavior. The deterministic analogue of our model, recovered when the number of individuals is infinitely large, is the Volterra system (with density-dependent prey reproduction) which is well known to fail to predict cycles. This difference in behavior can be traced to a resonant amplification of demographic fluctuations which disappears only when the number of individuals is strictly infinite. Our results indicate that additional biological mechanisms, such as predator satiation, may not be necessary to explain observed predator-prey cycles in real (finite) populations.

[1]  R M May,et al.  The invasion, persistence and spread of infectious diseases within animal and plant communities. , 1986, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[2]  D. Gillespie A General Method for Numerically Simulating the Stochastic Time Evolution of Coupled Chemical Reactions , 1976 .

[3]  James H. Matis,et al.  Stochastic Population Models , 2000 .

[4]  A. J. Hall Infectious diseases of humans: R. M. Anderson & R. M. May. Oxford etc.: Oxford University Press, 1991. viii + 757 pp. Price £50. ISBN 0-19-854599-1 , 1992 .

[5]  S. Goldhor Ecology , 1964, The Yale Journal of Biology and Medicine.

[6]  Singh,et al.  Stochastic resonance without an external periodic drive in a simple prey-predator model , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[7]  B T Grenfell,et al.  Noisy Clockwork: Time Series Analysis of Population Fluctuations in Animals , 2001, Science.

[8]  M. Burrows,et al.  Modelling biological populations in space and time: Cambridge studies in mathematical biology: 11 , 1993 .

[9]  A J McKane,et al.  Stochastic models in population biology and their deterministic analogs. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[10]  Peter Turchin,et al.  Complex Population Dynamics , 2003 .

[11]  S. Levin,et al.  OSCILLATORY DYNAMICS AND SPATIAL SCALE: THE ROLE OF NOISE AND UNRESOLVED PATTERN , 2001 .

[12]  H G Solari,et al.  Sustained oscillations in stochastic systems. , 2001, Mathematical biosciences.

[13]  B. M. Fulk MATH , 1992 .

[14]  David R. Appleton,et al.  Modelling Biological Populations in Space and Time , 1993 .

[15]  W. Gurney,et al.  Modelling fluctuating populations , 1982 .

[16]  S. Jørgensen Models in Ecology , 1975 .

[17]  D. Sherrington Stochastic Processes in Physics and Chemistry , 1983 .