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Article

Spatiotemporal Variations and Driving Factors of Ecosystem Health in the Pinglu Canal Economic Zone

1
Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation, Nanning Normal University, Nanning 530001, China
2
School of Geographical Sciences and Planning, Nanning Normal University, Nanning 530001, China
*
Author to whom correspondence should be addressed.
Land 2026, 15(1), 85; https://doi.org/10.3390/land15010085 (registering DOI)
Submission received: 26 November 2025 / Revised: 24 December 2025 / Accepted: 30 December 2025 / Published: 31 December 2025
(This article belongs to the Section Landscape Ecology)

Abstract

Quantitative assessment of ecosystem health (EH) effectively provides a scientific reference for regional landscape ecological development and socio-ecological system coordination. This study combined the VORSH framework and the XGBoost-SHAP model to assess EH and its spatiotemporal driving factors in the Pinglu Canal Economic Zone. The results show that the comprehensive ecosystem health index (EHI) generally remained at a moderate level during this period, exhibiting a pattern of initial decline followed by recovery, resulting in an overall improving trend. The period from 2005 to 2010 was identified as a critical transitional phase, during which EH began to recover and gradually improve. The Pinglu Canal Economic Zone exhibits distinct spatial heterogeneity in EH. Areas with poor and unhealthy grades are primarily distributed around urban peripheries, plain regions, and near certain water bodies. In contrast, healthy and relatively healthy areas are predominantly located in the densely vegetated mountainous regions of the southwest, north, and east. Between 2000 and 2020, the EH status demonstrated a significant overall upward trend, with most areas experiencing slight improvement and only a few regions exhibiting significant degradation. Topography and temperature were the primary factors driving the spatiotemporal variations in EH, while the influence of human activities continued to intensify with ongoing socioeconomic development.
Keywords: Pinglu Canal Economic Zone; VORSH model; ecosystem health assessment; machine learning; influencing factors Pinglu Canal Economic Zone; VORSH model; ecosystem health assessment; machine learning; influencing factors

Share and Cite

MDPI and ACS Style

Huang, Q.; Hu, B.; Xie, Y.; Ruan, R.; Lai, J. Spatiotemporal Variations and Driving Factors of Ecosystem Health in the Pinglu Canal Economic Zone. Land 2026, 15, 85. https://doi.org/10.3390/land15010085

AMA Style

Huang Q, Hu B, Xie Y, Ruan R, Lai J. Spatiotemporal Variations and Driving Factors of Ecosystem Health in the Pinglu Canal Economic Zone. Land. 2026; 15(1):85. https://doi.org/10.3390/land15010085

Chicago/Turabian Style

Huang, Qiuyi, Baoqing Hu, Yuchu Xie, Rujia Ruan, and Jiayang Lai. 2026. "Spatiotemporal Variations and Driving Factors of Ecosystem Health in the Pinglu Canal Economic Zone" Land 15, no. 1: 85. https://doi.org/10.3390/land15010085

APA Style

Huang, Q., Hu, B., Xie, Y., Ruan, R., & Lai, J. (2026). Spatiotemporal Variations and Driving Factors of Ecosystem Health in the Pinglu Canal Economic Zone. Land, 15(1), 85. https://doi.org/10.3390/land15010085

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