Abstract：With Changsha-Zhuzhou-Xiangtan urban agglomeration as the research object, based on remote sensing images, geostatistics, transportation network data and other multi-source data, we built the human footprint index model, Ecosystem Service Value (ESV) modification model and flow gain-and-loss matrix to measure the spatiotemporal changes of the human activities intensity(HAI) and ESV from 1990 to 2020. On such basis, it also comprehensively made use of geographic detector and bivariate space autocorrelation model to investigate the spatial relationship between HAI and ESV, which helped to reveal the profound influence of HAI on ESV. The results indicated that: First, the HAI in the Changsha-Zhuzhou-Xiangtan urban agglomeration had an increasing trend in the past 30 years, with a growth rate of 33.33%; additionally, there was overall circle spatial evolution characteristic with the main urban area as the center, which decreased to the periphery. Second, the ESV showed a slow decline trend with an average annual decrease of 1.38×108 yuan and showed a distribution pattern of “higher in the fringe area and lower in the core area” from 1990 to 2020. The conversion of forest land to construction land and cultivated land was the main reason for the loss of value. Third, the q value of HAI in the factor detection increased from 0.348 to 0.394, which explained the spatial differentiation of ESV in a better manner. The risk detection found out that the ESV generally showed a decreasing trend with the increase of HAI. Among them, the value of ecosystem cultural services kept balance within the abnormal intensity range of human activity from 0.3 to 0.7. Fourth, Moran's I changed from -0.363 to -0.491 during the study duration, there was a spatial negative correlation between HAI and ESV and the negative effect was intensified. High-low clustered area mainly distributed in the central urban area in the north, the low-high clustered area mainly distributed in densely forested mountain ranges which had higher elevation at the edge of the study area.
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