Statistical dynamic modeling on ecosystem patterns

Ecosystems are typical complex adaptive systems. By a universal principle (MFP) on pattern formation of ecosystems, the underlying microscopic dynamic mechanisms that induce complex patterns in ecosystems can be revealed. The ecosystem patterns are further simulated by invoking theoretical model of artificial neural network of Self-Organization Feature Map (SOM), by which evolution processes, structural classifications and fractal growth of ecosystem patterns are elaborated. The results not only help us to analyze formation and dynamics of ecosystem patterns, but also provide implications for classifications, protection and optimization of ecosystems.