On The Free Scale Of Complex Eco-system And Relevant Emperical Analysis

With the recognization of ecosystem as the combination of life system andrelevant environment, and the adaptation of artificial factor as an individualcomponent, the concept of complex ecosystem is gained, with the output of entirelydifferent characteristics on the energy flow and driven material cycling in and outsidethe system, which is defined as the object of the research of this dissertation. On thetheoretical foundations of ecology, systems science and management science, withYunan Longjiang water control project as the object, taking the actual facts intoconsideration, with the application of dissipative theory, self-organization critically,systematic dynamics and scale-free network, etc, this dissertation is devoted toanalyze the interrelationship among human, nature(zoology, resources andenvironment), economy and society. Emphasis has been granted to the functions andevolvement of complex ecosystem, especially the free scale of it.Ecosystem has been the hit of ecology and sustainable development, whereas thenotion of complex ecosystem will oppugn the objects and methods of classicalresearches. The characteristics of dissipative and self-organization critically ofcomplex ecosystem are here illustrated, with analysis on the properties and courses ofits evolvement. It is pinpointed that methods of systems science is the only way inconstruing objects of complexity. The free scale of complex ecosystem is proved, andpossibilities of constructing scale-free models for complex ecosystem demonstrated,with distinguishing hub and normal nodes according to the calculation on propertiesof nodes and their links corresponding to the components in complex ecosystem,where a harass on a hub node could crash the system, but one same on a normal nodewould vanish for its robustness.An algorithm on linking possibilies between nodes in a scale-free network hasbeen designed here, to match the feedback and diffusion mechanisms of complexecosystem. Consideration has been granted to the simulaiton of disappearance ofnodes and links, to remedy the flaw of classical theory. Sytem dynamics has guaranteethe free scale of evolvement of this algorithm, which could better simulation ofdiffusions, flows of materiala and information in complex ecosystem, and issignificant in modeling complex ecosystem.A universal scale-free model has been set up on the community level for complexecosystem, regarding ecological notions as nodes, material and information flows in ecosystem as links between nodes, with helps of mechanisms of feedback anddiffusion, to reproduce evolvements of real ecosystems.Finally an empirical analysis has been carried out with abundance of data totestify the feasibility and maneuverability of the proposed model.