For directing regional ecosystem management and restoration, it is crucial to accurately define the spatial characteristics and spatial matching of ecosystem service supply and demand, as well as the variables affecting the link between supply and demand. In order to explore the spatial and temporal characteristics of supply and demand for soil conservation, water yield, and net primary production on the Tibetan Plateau, various modeling approaches including Revised Universal Soil Loss Equation(RUSLE), Integrated Valuation of Ecosystem Services and Tradeoffs(InVEST), and Carnegie-Ames-Stanford Approach(CASA) were used in this study. Redundancy analysis was also used to further identify the factors influencing supply, demand, and the supply-demand ratio of ecosystem services on the Tibetan Plateau. The results showed that (1) on the Tibetan Plateau, the supply of services related to soil conservation, water yield, and net primary production, as well as the demand for these services, all showed an upward trend from 2000 to 2018; the supply increased by 30.57t, 63.61×10⁴m³, 33.81t, and the demand increased by 153.42m³ and 5.09 t, respectively. (2) The supply-demand ratio of various ecosystem services varied, with the ratio of services related to net primary production showing a decreasing trend, the ratio of services related to water yield showing an increasing trend, and the ratio of services related to soil conservation fluctuating between an overall increasing trend and a local decreasing trend. (3) All supply and demand connections for ecosystem services were dominated by low-low type geographic matching zones. (4) The primary determinants of ecosystem service supply were precipitation and slope, while the primary determinants of ecosystem service demand were population density and gross domestic product, and the primary determinants of ecosystem service ratio were precipitation and temperature. In order to lay the groundwork for integrated ecosystem management in the area, this study evaluated the relationship between supply and demand for ecosystem services on the Tibetan Plateau and defined the spatially explicit drivers of supply and demand.