Dynamic local and tele-coupling of ecosystem services supply and demand: Implications for sustainable management zoning in a plateau urban agglomeration

Rapid urbanization intensifies ecosystem services (ES) supply-demand mismatches. However, traditional local static assessments fail to capture cross-regional flows and dynamic evolutionary trajectories. Focusing on the Central Yunnan Urban Agglomeration (CYUA), we constructed a “conceptualization-process-pattern-mechanism-management” research framework, integrating multi-source data (2003−2023) with a dynamic local and tele-coupling coordination degree (DLTCCD) model and spatial econometric models to evaluate ES spatiotemporal convergence, and employing the XGBoost-SHAP approach to reveal nonlinear driving mechanisms. Ultimately, we proposed a static-dynamic integrated management zoning strategy. The results indicate: (1) CYUA exhibited significant “local collapse and tele-coupling compensation” characteristics; remote spatial subsidies from peripheral areas effectively repaired global coordination despite local decoupling in polarized cores; (2) Despite an absolute β -convergence, extremely slow convergence rates forewarn of persistent long-term spatial disequilibrium; (3) The dominant driving logic transitioned from early natural constraints to nature-infrastructure-policy synergies; (4) Integrating static baselines with dynamic trajectories delineated six sustainable management zones. These findings provide quantitative evidence for local and tele-coupling mechanisms, offering a transferable reference and potential governance framework for complex plateau urban agglomerations.

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Publication Details

Journal
Ecological Indicators
Published
2026-08-17
DOI
https://doi.org/10.1016/j.ecolind.2026.115327
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
0.00

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article

Dynamic local and tele-coupling of ecosystem services supply and demand: Implications for sustainable management zoning in a plateau urban agglomeration

刘仲翠, Changyan Zhou, Yanchun Huang, Shiqiao Xiong et al.
Ecological Indicators
Land Use and Ecosystem Services
article

Dynamic local and tele-coupling of ecosystem services supply and demand: Implications for sustainable management zoning in a plateau urban agglomeration

刘仲翠, Changyan Zhou, Yanchun Huang, Shiqiao Xiong, Bei Zuo, Yuewei Ma
article en

Abstract

Rapid urbanization intensifies ecosystem services (ES) supply-demand mismatches. However, traditional local static assessments fail to capture cross-regional flows and dynamic evolutionary trajectories. Focusing on the Central Yunnan Urban Agglomeration (CYUA), we constructed a “conceptualization-process-pattern-mechanism-management” research framework, integrating multi-source data (2003−2023) with a dynamic local and tele-coupling coordination degree (DLTCCD) model and spatial econometric models to evaluate ES spatiotemporal convergence, and employing the XGBoost-SHAP approach to reveal nonlinear driving mechanisms. Ultimately, we proposed a static-dynamic integrated management zoning strategy. The results indicate: (1) CYUA exhibited significant “local collapse and tele-coupling compensation” characteristics; remote spatial subsidies from peripheral areas effectively repaired global coordination despite local decoupling in polarized cores; (2) Despite an absolute β -convergence, extremely slow convergence rates forewarn of persistent long-term spatial disequilibrium; (3) The dominant driving logic transitioned from early natural constraints to nature-infrastructure-policy synergies; (4) Integrating static baselines with dynamic trajectories delineated six sustainable management zones. These findings provide quantitative evidence for local and tele-coupling mechanisms, offering a transferable reference and potential governance framework for complex plateau urban agglomerations.

Ecological IndicatorsVol. 190
Southwest Forestry University (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 12%
Land Use and Ecosystem Services
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