Exploring the spatiotemporal change characteristics of ecosystem service value (ESV) under the influence of national land space pattern (NLSP) changes is of great significance for promoting the rational use of land resources and the optimization of ecosystems. In this study, Fengdu County in the Three Gorges Reservoir Area was selected as a case study. We analyzed the changes in NLSP using land use data from 1990, 2000, 2010 and 2018. Then, we used the equivalent factor method and exploratory spatial data analysis method to explore the spatiotemporal change characteristics of the ESV of Fengdu County. The results show that: (1) From 1990 to 2018, the changes in NLSP in Fengdu County generally manifested in the transformation of agricultural space into urban space and ecological space; (2) The spatiotemporal change of ESV is a process that positively responds to the increase in ecological space and negatively responds to the expansion of urban space. From 1990 to 2018, the total ESV of Fengdu County showed a trend of continuous growth, with a total increase of CNY 11.10 × 108, and the change rate was 9.33%. The ESV gain area is mainly located along the Yangtze River and the southernmost part of the county, and the loss area is mainly located near the south bank of the Yangtze River; (3) ESV and its changes in Fengdu County have a significant positive spatial autocorrelation. The cold and hot spots of ESV change are mainly distributed along the Yangtze River and to the south of the Yangtze River. Therefore, it is suggested to integrate ESV as an important indicator into the decision-making of national land space planning. At the same time, it is necessary to strengthen the intensive use of urban space and protect the important ecological space from decreasing. Our study results provide useful insights for the development of regional NLS management and environmental protection policies. However, it is worth noting that the results of this paper are more applicable to areas where the terrain is dominated by mountains.

The industrial land supply impacts regional high-quality development, with various impacts across sectors. Considering China’s Yangtze River Economic Belt (YREB), this paper uses entropy weighting, spatial analysis, and the spatial Durbin model for spatiotemporal and regional analysis of the high-quality development level (HDL) and its spatial correlation with the industrial land supply. (1) The annual average HDL in all cities of the YREB increases, the regional HDL is spatially unbalanced and decreases from downstream–midstream–upstream, and HDL overlaps with economic development spatiotemporally. (2) The increase in high-tech industrial land supply promotes local HDL, and the raw material industrial land supply promotes HDL more indirectly than directly. (3) The land supply of the industrial supporting service, processing, food and light textile, and raw material industries has significant indirect effects. Processing has the strongest positive spillover effect, and food and light textile has a significant negative spillover effect. The HDL equilibrium in the YREB increased from 2010 to 2019, and the clustering of the processing, industrial supporting service, and food and light textile industries aggravated the spatial imbalance. (4) The regional structure and layout of the industrial land supply should be optimized to promote the HDL of the YREB.