Abstract: With the rapid urbanization, research on the spatial-temporal evaluation and drivers deduction of ESV is important for regional social-economic-ecological coordinated and sustainable development. Based on remote sensing data of Dongting Lake Eco-economic Zone in four years (2005, 2010, 2015, and 2018), we investigated the spatial-temporal pattern deduction characteristics of ecosystem service value (ESV) from a grid scale of 3 km × 3 km with the technological support of ArcGIS and GeoDa, as well as combining the equivalent factor, spatial auto-correlation and hot-spot analysis method. We further explored the dominant drivers of spatial heterogeneity of ESV and the interaction mechanisms among different drivers using geo-detector. The results showed that, during the study period, the construction land area had the most significant growth by 49.2%. Nevertheless, grassland and water area had a relatively large decrease, while the other land area did not change. The ESV decreased gradually in general during the study period. The ESV of unused land increased rapidly, while that of the other lands all showed decrease to different extents. The overall spatial layout of ESV in the study area was “high in the middle and low in the surroundings”. The spatial cluster effect of ESV was significant, but the cluster effect of high and low values of ESV tended to weaken during the study period, showing a trend of gradually decreasing. The spatial heterogeneity of ESV was affected by the coupling and coordination of natural environmental factors and socio-economic factors in the study area, with largest contribution from the human active index.

Key words: land use/cover change, ecosystem service value, spatial-temporal pattern, geo-detector, Dongting Lake Eco-economic Zone