Work

Coupling coordination and driving mechanisms between ecosystem service supply and rural revitalization in the Poyang Lake region, China

Year: 2026

Type: article

Abstract: Enhancing the synergistic relationship of Ecosystem Service Supply (ESS) to the Rural Revitalization (RR) vision is crucial for mitigating human-land conflicts and achieving sustainable development in ecologically sensitive regions. Taking the Poyang Lake area as a case study, this research constructs assessment frameworks for ESS and RR levels. Utilizing the Coupled Coordination Degree (CCD) model and the Geographical Temporal Weighted Regression (GTWR) model, we scrutinize the spatiotemporal evolution and driving mechanisms of their coordination. Results reveal an overall upward trend in both ESS and RR levels, though the growth rate slowed noticeably after 2010. Spatially, ESS levels decreased from the core lake area outward, whereas RR levels exhibited a pattern of fringe > peripheral > core areas. The increasing CCD, demonstrating a core > peripheral > fringe pattern, indicates a trend toward more balanced spatial development. GTWR results show that the influences of natural, economic, social, and governmental factors on the coupled coordination relationship between ESS and RR exhibit significant spatial heterogeneity, with economic and social factors being the strongest driving factors. This study provides a scientific foundation for formulating sustainable development policies in the Poyang Lake area and offers a novel perspective on coordinating ecological health and rural development in lake regions. • Comprehensive assessment framework based on socio-ecological coupling system is constructed. • Ecosystem service supply and rural revitalization are synergistic but spatially discordant. • The adaptability of ecosystem service supply to the vision of rural revitalization is quantified. • Economic and social factors are the main factors affecting the spatiotemporal heterogeneity of adaptability.

Source: Environmental and Sustainability Indicators

DOI: 10.1016/j.indic.2026.101312