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

Basin Ecological Zoning Based on Supply–Demand Assessment and Matching of Green Infrastructure: A Case Study of the Jialing River Basin DOI Open Access
Feng Mao, Yunyan Li, Lihua Xu

et al.

Forests, Journal Year: 2025, Volume and Issue: 16(4), P. 561 - 561

Published: March 24, 2025

Intensive anthropogenic disturbances have driven significant spatial disparities and progressive fragmentation of forest-based green infrastructure (GI) that delivers vital ecosystem services across river basins. To address these challenges, delineating ecological management zones developing spatially targeted GI optimization measures are imperative for safeguarding regional security advancing nature-based solutions in coupled human–water–forest systems. Focused on the mainstream area Jialing River Basin, we establish an zoning system reconciles forest resilience with development equity. By using morphological pattern analysis, landscape analysis In-VEST model, supply capacity was assessed from three dimensions: element composition, structural configuration, services. The demand intensity evaluated based environmental governance pressure, urban expansion social needs counties. Supply–demand matching analyzed quadrant-based mismatch typology coupling coordination degree model. results reveal following: (1) supply-deficit counties predominantly located middle lower reaches basin, characterized by high urbanization economic development; (2) supply-surplus high-level balanced cluster ecologically conserved upper reaches; (3) low-level concentrated agricultural zones; (4) overall show a preliminary state coordination. Based findings, basin classified into five at county level: restoration, management, rehabilitation, enhancement, conservation. Tailored policies were formulated each zone to advance sustainable development.

Language: Английский

Citations

0

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