Development Of Experimental Platform For Microscopic Ecosystem Simulation

The ecosystem is a multi-level, multifactor , multivariable and non-linear ecologic unit which covers a certain spatial scope, in which various living things communities and the environment interact with each other through the energy flow, the circulation of materials and the information transmission, and depend on each other mutually. Regarding such complex system, understanding merely the interior partial links in the system is insufficient to explain the system behavior, knowing the interaction of various parts in the system is equally important for the explanation of system behavior, so the theory of complex system and thought of agent based modeling, which bring the microcosmos and macrocosmos together, enlighten the ecosystem modeling. But at present, the following problems should be solved in the ecosystem modeling based on the complex system theory. 1. How to acquire the quantitative indexes of the ecologic factors in the microscopic ecosystem. 2. How to extract the correlations among the ecologic factors. 3. How to provide the ecosystem researchers or administrators with a practical platform for ecosystem modeling and simulation.Based on the modern system theory and its method as well as the modern computer technology, and for meeting the crops production microscopic ecosystem modeling and simulation need, studies including the microscopic ecosystem data acquisition, information processing, modeling and simulation and control decision-making are carried out, and the experiment platform for the microscopic ecosystem modeling and simulation is developed, which can support the study of the microscopic ecosystem. The research results are as followed:1. Microscopic ecosystem information deals with soil, environment as well as living things themselves. When modeling and simulating , many kinds of information should be obtained. According to the characteristics of the microscopic ecosystem information acquisition, and based on the modern information technology, a microscopic ecosystem information acquisition platform is built, which integrates some sensors and the GPRS module, to realize microscopic ecologic data real-time gathering and the long-distance transmission.2. Based on the complexity theory, the concept of adaptive agents and the basic characteristics of complex adaptive system, and from the viewpoint of ecosystem complexity, the ecosystem as a typical complex system is analyzed, and the method of complex adaptive system theory and its application to the ecosystem are discussed.3. In the nature, any species or individuals, any population and communities all exist in a certain ecosystem. In ecosystem, all individuals, species, population and communities compete and cooperate with each other. Study of such coordination and competition relations, is the basis of the ecosystem simulation model, so the paper discusses the co-evolution mechanism and the evolution method of all parts in ecosystem, and explores the ecosystem evolution rules.4. Agent based modeling and simulation method is a new way for complex system modeling and simulation. This paper introduces the Agent-based modeling method suitable for the ecosystem modeling and the simulation, as well as complex adaptive system model frame. It also introduces the structure of Cell-Automation and its mechanism, as well as the CA model of microscopic ecosystem. Meanwhile the paper introduces the platform for the modeling and simulation of multi-agent system.5. At present, a lot of programming work is needed when using complex system modeling tools for ecosystem modeling, so it is difficult for the ordinary user to use the tools .At the same time, there is no a comprehensive tool for the ecologic data acquisition, rule extraction, as well as model validation. The paper focuses on the architecture of the configurable platform of ecosystem simulation, and develops a series of ecosystem models for ecosystem study.Some achievements in this project has been appraised and also funded by agricultural science and technology achievements transformation fund program.