As an important prerequisite for the reasonable allocation of land resources, ecological environment protection and the formulation of ecological compensation standards, evaluation of ecosystem services value is one of the current research hotspots. Taking Leshan City as the research area, based on the four periods of land use data in 2000, 2005, 2010, and 2015, the dynamic equivalent method of ecosystem service value was used to quantitatively analyze the temporal and spatial changes of ecosystem service value in Leshan City from 2000 to 2015. Based on the temporal and spatial heterogeneity of the ecosystem, this method combined the vegetation net primary productivity data, precipitation data and soil conservation data of Leshan City to dynamically correct the equivalent to make the results more accurate, spatial and comprehensive. Then, the geographic detector model was used to quantitatively detect the driving mechanism of the temporal and spatial changes of the ecosystem service value. The factor detector could detect the spatial correlation between driving factors and ecosystem service value. The interaction detector could evaluate whether the two factors worked together to increase or decrease the impact on the temporal and spatial distribution of ecosystem service value. And the ecological probes could compare whether there were significant differences in the impact of two factors on the temporal and spatial distribution of ecosystem service values.The results indicated that:(1) the ecosystem service value of Leshan City showed a downtrend from 2000 to 2015, and only rebounded from 2005 to 2010, with a total decrease of 2.322 billion yuan, which was mainly related to the massive reduction in forest land and the massive increase in construction land. (2) In terms of space, the distribution trend was high in the southwest and low in the northeast, and the changes in each region were different. The mountains in the southwest were mainly declining, the hills of the eastern plains were mainly rising, and the two sides of the river rose significantly. (3) The dominant factors affecting the temporal and spatial distribution of ecosystem service value were land use, vegetation net primary productivity (NPP), precipitation, and slope. In addition, temperature, elevation, and soil type also had a great effect. (4) The influence of natural factors was greater than that of social economic factors, but the influence of social economic factors was becoming more and more prominent. The study revealed the rule of temporal and spatial changes and driving factors of the ecosystem service value in Leshan City, and provided a scientific reference for the establishment of land use planning and ecological environment protection mechanisms in this area.