SIMULATION OF CHAOTIC BEHAVIOR IN POPULATION-DYNAMICS

In the time evolution of populations, many attractors can be found: fi xed points, limit cycles and chaotic regimes. Usually, chaotic behavio ur is observed in species which have well defined breeding seasons and a high fertility rate. Different mathematical models have been used i n order to simulate those regimes. In this paper, we use the bitstring model introduced to simulate the evolution of age-structured populati ons - the Penna Model - to simulate a sort of cyclic and chaotic behav iours. In comparison with the standard logistic map, our results show a time changing lambda parameter.