The Coupling Coordination Relationship Between Urbanization and Ecosystem Health in the Yellow River Basin: A Spatial Heterogeneity Perspective DOI Creative Commons

Shanshan Guo,

Junchang Huang,

Xiaotong Xie

et al.

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 801 - 801

Published: April 8, 2025

Understanding the socioecological nexus between urbanization and ecosystem health (EH) is crucial for formulating sustainable development policies. While prior research has focused on this topic, critical gaps persist in characterizing distributional polarization decomposing inequality drivers within coupled human–environment systems—particularly China’s Yellow River Basin (YRB), a strategic region undergoing concurrent ecological restoration urbanization. The integration of kernel density estimation Theil index establishes robust analytical framework to effectively overcome spatial heterogeneity limitations regional disparity research. Therefore, study combines coupling coordination degree (CCD), nonparametric estimation, decomposition examine complex interactions (EHI) across 538 county-level units from perspective heterogeneity. key findings reveal following: (1) Urbanization exhibited phased enhancement yet maintained elementary developmental stages overall, with distinct gradient descending eastern/central riparian counties western hinterlands. (2) EHI showed marginal upward trend, 80.29% persisted suboptimal categories (EHI-1 EHI-3), gains concentrated high-vegetation mountainous areas (45.72%) versus declines economically developed areas. (3) CCD evolved mild imbalance (II-1) low (III-1) but significant special differences—the midstream downstream improved markedly, while upstream remained weakest. (4) Intragroup disparities, particularly among middle reaches, were primary disequilibrium YRB, contributing 87.9% overall inequality. In contrast, regions improvements levels, accompanied by emergence “multi-polarization” patterns. provide refined differentiated decision-making references narrowing gap coordinated YRB.

Language: Английский

Temporal–Spatial Evolution and Driving Mechanism for an Ecosystem Health Service Based on the GD-MGWR-XGBOOT-SEM Model: A Case Study in Guangxi Region DOI Open Access

Zhenfeng Wei,

Dong Chen,

Qunying Huang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(8), P. 3305 - 3305

Published: April 8, 2025

With the expansion of urbanization in China, ecological environments are becoming more and prominent. Uncovering driving factors ways regulating ecosystem health has become a hot topic for regional sustainable development. This paper adopted improved vigor–organization–resilience service (VORS) model to diagnose status Guangxi from 2000 2020 verify main affecting health. Considering influencing (including vegetation, terrain, climate human activities), mechanism associated with was analyzed by using geographic detector (GD), multiscale geographically weighted regression (MGWR), XGBOOTS-SHAP model. The results show that spatial distribution is characterized low values central region high northern eastern regions higher elevations 2020. agglomeration evolution changes dispersion, consistent. interaction vegetation enhanced significantly, while relatively weak. And most impacts activities on environment negative. factor dominant positive effect health, activity elements have weak negative Meanwhile, complex changeable, their leading corresponding other factors. study provides scientific reference harmonious development humans nature southern China.

Language: Английский

Citations

0
The Coupling Coordination Relationship Between Urbanization and Ecosystem Health in the Yellow River Basin: A Spatial Heterogeneity Perspective DOI Creative Commons

Shanshan Guo,

Junchang Huang,

Xiaotong Xie

et al.

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 801 - 801

Published: April 8, 2025

Understanding the socioecological nexus between urbanization and ecosystem health (EH) is crucial for formulating sustainable development policies. While prior research has focused on this topic, critical gaps persist in characterizing distributional polarization decomposing inequality drivers within coupled human–environment systems—particularly China’s Yellow River Basin (YRB), a strategic region undergoing concurrent ecological restoration urbanization. The integration of kernel density estimation Theil index establishes robust analytical framework to effectively overcome spatial heterogeneity limitations regional disparity research. Therefore, study combines coupling coordination degree (CCD), nonparametric estimation, decomposition examine complex interactions (EHI) across 538 county-level units from perspective heterogeneity. key findings reveal following: (1) Urbanization exhibited phased enhancement yet maintained elementary developmental stages overall, with distinct gradient descending eastern/central riparian counties western hinterlands. (2) EHI showed marginal upward trend, 80.29% persisted suboptimal categories (EHI-1 EHI-3), gains concentrated high-vegetation mountainous areas (45.72%) versus declines economically developed areas. (3) CCD evolved mild imbalance (II-1) low (III-1) but significant special differences—the midstream downstream improved markedly, while upstream remained weakest. (4) Intragroup disparities, particularly among middle reaches, were primary disequilibrium YRB, contributing 87.9% overall inequality. In contrast, regions improvements levels, accompanied by emergence “multi-polarization” patterns. provide refined differentiated decision-making references narrowing gap coordinated YRB.

Language: Английский

Citations

0