Advancing sustainable development in large lake basins: A static–dynamic integrated management framework for ecosystem service supply–demand matching

Abstract

• Developed an ESS–ESD interaction framework for large lake basins. • Dongting Lake Basin exhibited a spatiotemporal evolution pattern of ESSD mismatch. • ESS–ESD’s spatiotemporal clustering was dominated by H–L and L–H mismatches. • Constructed a static-dynamic integrated management map for ESS and ESD. • Proposed a multiscale ESSD matching framework to inform sustainable development. Rising human activity has intensified pressure on ecological resources, disrupting the ecosystem service supply–demand (ESSD) balance. Compared to other ecological habitats, large lake basins contain sensitive water–land interlaced systems, posing significant challenges for multiscale sustainable management. This study uses the Dongting Lake Basin as a case to examine six ecosystem services (ESs): water yield (WY), food production (FP), carbon sequestration (CS), soil retention (SR), habitat quality (HQ), and leisure entertainment (LE). Integrating spatial autocorrelation analysis and ecosystem service supply–demand ratio (ESSDR), we identified the spatiotemporal mismatch patterns of ecosystem service supply (ESS) and ecosystem service demand (ESD). Subsequently, we developed a sustainable management framework based on the static mean ESSDR and dynamic change rate indices. Results show that from 2000 to 2020, FP, CS, HQ, and LE supplies declined, whereas WY and SR supplies increased. CS, SR, LE, and HQ demand rose, whereas WY and FP demand decreased. ESS–ESD’s clustering relationships were dominated by H–L and L–H mismatch zones. The ESSD mismatch degree has intensified over time. ES surplus zones (SI) were mainly in forested areas at sub-basin edges, whereas ES deficit zones (SII) overlapped with northern croplands and eastern construction areas. Dynamic evolution analysis indicated sustainable zones (S) clustering in northern sub-basins, whereas unsustainable zones (US) dominated the Southern Xiangjiang Basin. ESS–ESD management zones exhibited marked heterogeneity across sub-basins. SII-US zones in the Northern Xiangjiang River Basin should restrict excessive urbanization. SII-S zones in the Dongting Lake Ring Area should promote sustainable agriculture. SI-S zones in the Lishui, Zishui, and Northern Yuanjiang River Basins can expand eco-economic projects. SI-US zones in the Southern Yuanjiang and Xiangjiang River Basins must advance green industry upgrades. The static–dynamic ESSD management framework offers transferable technical guidance for sustainable governance in other lake basins.

Topics & Concepts