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The 18th National Congress of the Communist Party of China proposed to place ecological civilization construction in the important position of “five in one”, and with the transformation of economic development mode, focusing on high-quality, scientific, and reasonable urban development model has become the research focus of experts and scholars, with certain theories And practical significance. Taking the opportunity of Dongying being rated as an “International Wetland City”, this article studies the construction of Dongying Wetland City during the “14th Five-Year Plan” period. Starting from the investigation of the current situation, it analyzes the current situation of Dongying City’s wetland and puts forward the problems in the construction of Dongying City’s wetland city. Combing the experience of Haikou, Berlin, Freiburg, and Vienna experience in wetland city construction at home and abroad, and analyzed the wetland foundation from the four perspectives of wetland protection, wetland restoration, wetland utilization, and wetland management, and proposed Dongying The city’s policy recommendations for wetland construction are designed to provide suggestions for the construction of Dongying wetland city during the “14th Five-Year Plan” period, to provide a reference for the same type of regions, and to provide a reference for the research of experts and scholars in the same field.

As the key medium for decomposing wood fibers, fungi play a vital role in promoting the carbon cycle. The purpose of this paper is to establish mathematic models describing the process of fungi decomposing litter and wood fiber. The paper comprehensively consider the effects of temperature, moisture, location and other factors on fungal traits, and introduced the experimental data of the US Forest Service Center for Forest Mycology Research (CFMR).Based on the model of competition among populations and the modern coexistence theory, this paper establishes the competitive model between two fungi, then generalizes it to a variety of fungi and predicts the short-term and long-term effects.