Dynamics of ecosystem health in the Guanzhong-Tianshui Economic Zone: A Catboost and SHAP−based analysis from 1990 to 2020

• Assessment of ecosystem health (EH) in the Guanzhong-Tianshui Economic Zone from 1990 to 2020. • Multi-model comparison identified the optimal CatBoost model, integrated with SHAP to quantify driver-EH relationships. • Assessing dynamic changes in EH drivers across the study area over a 30-year period. The Guanzhong-Tianshui Economic Zone (GTEZ), a vital land corridor for the Belt and Road Initiative (BRI), features a system structure of “Qinling Ecological Barrier–Urban Agglomeration–Loess Plateau Ecologically Sensitive Zone.” This unique spatial configuration makes ecosystem health (EH) assessment particularly crucial. This study employs a comprehensive diagnostic methodology by systematically integrating the rigorously validated optimal CatBoost model into the Vigor-Organization-Elasticity-Services (V-O-E-S) framework, combined with SHAP analysis. Supported by SHAP uncertainty quantification, this approach systematically reveals the spatiotemporal evolution of EH and the dynamic changes of its driving factors in the GTEZ from 1990 to 2020. Key findings include: (1) EH dynamics followed a “deterioration-improvement” pattern; (2) Driving factors gradually shifted from socioeconomic to natural factors; (3) EH showed significant spatial clustering, with high-value areas concentrated in the southern part of the study area, while low-value areas were predominantly distributed in the western and the central basin of the study area. This study validated two core hypotheses on the dynamics of EH and succession of EH driving factors in the GTEZ. The results provide a scientific basis for ecological management and spatial planning in the region and offer new insights into the synergistic interactions between human activities and natural processes under global environmental change.

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Publication Details

Journal
Ecological Indicators
Published
2025-11-21
DOI
https://doi.org/10.1016/j.ecolind.2025.114431
Primary Topic
Land Use and Ecosystem Services
Type
article
Field-Weighted Citation Impact
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article

Dynamics of ecosystem health in the Guanzhong-Tianshui Economic Zone: A Catboost and SHAP−based analysis from 1990 to 2020

Ecological Indicators
Land Use and Ecosystem Services
article

Dynamics of ecosystem health in the Guanzhong-Tianshui Economic Zone: A Catboost and SHAP−based analysis from 1990 to 2020

article en

Abstract

• Assessment of ecosystem health (EH) in the Guanzhong-Tianshui Economic Zone from 1990 to 2020. • Multi-model comparison identified the optimal CatBoost model, integrated with SHAP to quantify driver-EH relationships. • Assessing dynamic changes in EH drivers across the study area over a 30-year period. The Guanzhong-Tianshui Economic Zone (GTEZ), a vital land corridor for the Belt and Road Initiative (BRI), features a system structure of “Qinling Ecological Barrier–Urban Agglomeration–Loess Plateau Ecologically Sensitive Zone.” This unique spatial configuration makes ecosystem health (EH) assessment particularly crucial. This study employs a comprehensive diagnostic methodology by systematically integrating the rigorously validated optimal CatBoost model into the Vigor-Organization-Elasticity-Services (V-O-E-S) framework, combined with SHAP analysis. Supported by SHAP uncertainty quantification, this approach systematically reveals the spatiotemporal evolution of EH and the dynamic changes of its driving factors in the GTEZ from 1990 to 2020. Key findings include: (1) EH dynamics followed a “deterioration-improvement” pattern; (2) Driving factors gradually shifted from socioeconomic to natural factors; (3) EH showed significant spatial clustering, with high-value areas concentrated in the southern part of the study area, while low-value areas were predominantly distributed in the western and the central basin of the study area. This study validated two core hypotheses on the dynamics of EH and succession of EH driving factors in the GTEZ. The results provide a scientific basis for ecological management and spatial planning in the region and offer new insights into the synergistic interactions between human activities and natural processes under global environmental change.

Ecological IndicatorsVol. 181
University College Dublin (IE), Chang'an University (CN), Lanzhou University (CN)
Sustainable cities and communities
Openalex Percentile: Top 43%
Land Use and Ecosystem Services
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