Regularity analysis of an individual-based ecosystem simulation
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:
-
Chaos
- Pub Date:
- December 2010
- DOI:
- 10.1063/1.3514011
- Bibcode:
- 2010Chaos..20d3120G
- Keywords:
-
- chaos;
- fractals;
- Lyapunov methods;
- stochastic processes;
- 05.45.Df;
- 05.10.Gg;
- 02.50.Fz;
- 02.30.Yy;
- Fractals;
- Stochastic analysis methods;
- Stochastic analysis;
- Control theory