Abstract
The most abundant biological particles in the atmosphere are pollen grains and spores. Previous analyses of the dynamic characteristics of atmospheric pollen time series based on the study of the correlation dimension indicate that the system can be described by a low dimensional chaotic map. As the determination of a fractal dimension is not completely reliable, a less ambitious but secure task is to find the nonlinear character of the time series. A recently developed method to distinguish nonlinear deterministic systems from linear stochastic systems is applied to a pollen time series of about 8000 values. The nonlinear structure of the series is obtained.
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