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Article

The Multiscale Spatiotemporal Heterogeneity of Ecosystem Service Trade-Offs/Synergies and Bundles and Socioecological Drivers in the Yangtze River Delta Region of China

College of Geography Science and Geomatics Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
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Author to whom correspondence should be addressed.
Sustainability 2025, 17(16), 7200; https://doi.org/10.3390/su17167200
Submission received: 4 July 2025 / Revised: 29 July 2025 / Accepted: 6 August 2025 / Published: 8 August 2025

Abstract

A comprehensive exploration of the trade-offs/synergies and drivers of ecosystem services (ESs) is essential for formulating ecological plans. However, owing to the limited attention given to multiple scales, the relationship of ESs still needs to be further explored. Taking the Yangtze River Delta region of China as the study area, a multiscale data framework with a 1 km grid and 10 km grid and county was established, and six ESs were evaluated for 2000, 2010, and 2020. Then, the trade-offs and synergies between ESs were explored by Spearman’s correlation analysis and geographically weighted regression (GWR), and the ecosystem service bundles (ESBs) were identified by self-organizing maps (SOMs). Finally, the socioecological drivers of ESs were further analyzed via GeoDetector. The results showed that (1) the distribution of ESs exhibited spatial heterogeneity. (2) At the grid scale, there were very strong trade-off effects between crop production and the other ESs. The synergistic effects between ESs at the county level were further strengthened. (3) The ESBs identified at different temporal and spatial scales were different. (4) Land use had the strongest explanatory power for all the ESs. At the grid scale, climatic and biophysical factors had great impacts on ESs, whereas population density and night light remote sensing had significant impacts on crop production, carbon storage, and water yield at the county scale.
Keywords: ecosystem services; trade-off and synergy; ecosystem service bundle; driving factors; multiple spatiotemporal scales ecosystem services; trade-off and synergy; ecosystem service bundle; driving factors; multiple spatiotemporal scales

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MDPI and ACS Style

Zhang, Z.; Chang, Y.; Yao, C. The Multiscale Spatiotemporal Heterogeneity of Ecosystem Service Trade-Offs/Synergies and Bundles and Socioecological Drivers in the Yangtze River Delta Region of China. Sustainability 2025, 17, 7200. https://doi.org/10.3390/su17167200

AMA Style

Zhang Z, Chang Y, Yao C. The Multiscale Spatiotemporal Heterogeneity of Ecosystem Service Trade-Offs/Synergies and Bundles and Socioecological Drivers in the Yangtze River Delta Region of China. Sustainability. 2025; 17(16):7200. https://doi.org/10.3390/su17167200

Chicago/Turabian Style

Zhang, Zhimin, Yachao Chang, and Chongchong Yao. 2025. "The Multiscale Spatiotemporal Heterogeneity of Ecosystem Service Trade-Offs/Synergies and Bundles and Socioecological Drivers in the Yangtze River Delta Region of China" Sustainability 17, no. 16: 7200. https://doi.org/10.3390/su17167200

APA Style

Zhang, Z., Chang, Y., & Yao, C. (2025). The Multiscale Spatiotemporal Heterogeneity of Ecosystem Service Trade-Offs/Synergies and Bundles and Socioecological Drivers in the Yangtze River Delta Region of China. Sustainability, 17(16), 7200. https://doi.org/10.3390/su17167200

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