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The concept of eco-city has been recognized all over the world. The construction of ecological diversity system has become one of the goals all over the world. In this paper, we have systematically studied the relationship between sports tourism and the sustainable development of environmental protection based on the big data of sports ecotourism. The basic content of sports eco-tourism includes two parts: natural sports eco-tourism and humanistic sports ecotourism. The problem of harm to the ecological environment existing in the sports ecotourism project is analyzed. On this basis, the dynamic recursive BP neural network algorithm is used to build the big data model. The model can be used to verify the feasibility of the model and predict the tourist flow of the research object. Based on the results of big data analysis, some sustainable development strategies have been proposed, that is, scientifically planning sports eco-tourism projects, enhancing tourists' environmental awareness, and cultivating professional talents. These measures can help realize the sound development of sports eco-tourism. [ABSTRACT FROM AUTHOR]