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Principles of nonlinear dynamics applied to investigate complex evolution of insect population. LPA model considered in this regard and studies carried out to visualize regular and chaotic evolutions.
Different sets of bifurcation diagrams obtained by varying death rate parameter μa of adult population and that of μl , the larvae population. Regular and chaotic attractors obtained for different sets of values of parameters.
Numerical calculations carried out to obtain Lyapunov exponents for identification of regular and chaotic evolution and to obtain topological entropies, which provide presence of complexity in the system.
Calculations further extended to obtain the correlation dimension of a chaotic attractor.
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