Optimization Study of Terrace Restoration Sampling Governance Model Based on Fuzzy Clustering Algorithm

The Honghe Hani terraces are famous ancient terraces in China, and this paper takes the Honghe Hani terrace ecosystem as the research object. The ability of the Honghe Hani terraces to maintain increased yields despite the once-in-a-century drought is inextricably linked to the perfect operation of the local rice terrace ecosystem. The three-dimensional terrace ecosystem is composed of four elements: forest, ditch (water system), village and terrace, and the long-term stability of the ecosystem is maintained by the water connotation function of forest, irrigation and drainage function of ditch, control and distribution function of village and agricultural production function of terrace. In this paper, we use fuzzy clustering algorithm (FCA) to calculate the mean value of farmers’ participation in terrace restoration and management behavior in each ecosystem from the perspective of “four elements homogeneous” ecosystem, and then compare the trust of Hani farmers in the “four elements homogeneous” ecosystem to the trust of villagers in their own tribe in terrace restoration and management behavior. Then, we compared the trust of Hani farmers in the terrace restoration and management behaviors, and analyzed the characteristics of the terrace restoration and management behaviors, so that Hani farmers can creatively realize the autonomous management of the terrace ecosystem from various aspects.