Regularity analysis of an individual-based ecosystem simulation

Chaos. 2010 Dec;20(4):043120. doi: 10.1063/1.3514011.

Abstract

We analyze the results of a large simulation of an evolving ecosystem to evaluate its complexity. In particular, we are interested to know how close to a stochastic or a deterministic behavior our simulation is. Four methods have been used for this analysis: Higuchi fractal dimension, correlation dimension, largest Lyapunov exponent, and P&H method. Besides, we use a surrogate data test to reach a final decision about analysis. As we expect, our results show that there is a deterministic and chaotic behavior in ecosystem simulation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Computer Simulation*
  • Ecosystem*
  • Fuzzy Logic
  • Models, Biological
  • Population Dynamics
  • Predatory Behavior
  • Time Factors