The Dongying economy mainly relies on the petroleum industry, which occupies considerable land resources and produces a large number of pollutants, leading to negative impacts on the sustainable development of the local ecosystem. Land trading is an effective planning method, which can increase ecosystem services by encouraging its movement from low value to high. However, inherent complexities and uncertainties exist in practical regional ecosystem management due to inevitable errors and data losses, which have placed the issue beyond the conventional deterministic optimization methods. In this study, a fuzzy two-stage method was used to tackle fuzzy and stochastic uncertainties. A land trading mechanism was introduced to assist regional ecosystem planning. Improvements in land trading, ecological service value, and pollutant emissions have occurred due to trading and non-trading. The results show that the land trading mechanism is suitable for the regional ecosystem and sustainable development, and the proposed method is an effective tool for analyzing and dealing with uncertainties in the system. In addition, quantitative analysis can help policy makers conduct in-depth analyses of tradeoffs between ecological service value and economic benefits. This study explores a transition pathway for sustainable development through a land trading mechanism, and provides suggestions for the local economic and ecological development.