Abstract: The Su-Xi-Chang region, which is an important grain production base, and is one of China’s fast-growing economic regions. In the context of rapid urbanization, human activities considerably threaten local ecological environments and the land space allocation must be optimized. Based on the data obtained from multiple sources, this study presents the spatial and temporal patterns as well as evolution features of three ecosystem services in the Su-Xi-Chang region from 2000 to 2018, including the carbon storage (CS), food supply (FS), and biodiversity (BD) services, and identifies the interrelations between various ecosystem services using the bivariate spatial autocorrelation method. Results indicate the following trends. （1) CS grew slightly, whereas FS and BD were in the fluctuant downward in the Su-Xi-Chang region from 2000 to 2018.( 2) The spatial distribution of ecosystem services was considerably unbalanced, indicating low and high value distributions in the central built-up area and the surrounding natural land, respectively. Considerably serious degradation can be observed in case of various types of ecosystem services in urban expansion areas.（3) Through tradeoff and synergy analyses, a synergy can be observed between CS and FS as well as CS and BD, whereas a tradeoff can be observed between FS and BD.(4) Spatial differences can be observed with respect to the tradeoffs and synergies associated with ecosystem services. The low-value synergistic zone was concentrated in the city center, whereas the high-value synergistic zone was mainly concentrated in the west and south of the woodland range, with the low-high and high-low value tradeoff areas being spatially distributed around each other. In future, attention must be devoted to the low-value synergistic and tradeoff areas with respect to the ecosystem services in the Su-Xi-Chang region. Furthermore, targeted ecological protection and restoration measures must be developed, and socioeconomic development must be rationally regulated to achieve synergy in case of ecosystem services.