Author
Listed:
- Xuesong Li
(School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China)
- Shan Hu
(School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China)
- Jianrong Lv
(School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China)
- Wenshan Mao
(School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518060, China
Shenzhen Key Laboratory of Spatial Smart Sensing and Services, Shenzhen University, Shenzhen 518060, China)
- Yang Yue
(Thrust of Urban Governance and Design, Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511453, China)
Abstract
Understanding the impact of human disturbance on urban vegetation is a key issue in urban sustainability, particularly in complex urban ecosystems. Using the COVID-19 lockdown as a quasi-natural experiment, this study examined vegetation responses to varying disturbance intensities across a university campus, comparing a low-disturbance phase (April 2022) with short-term recovery (July 2022, when human activity resumed) and long-term recovery (April 2024). Human disturbance was quantified based on activity restriction, duration, and population density, while vegetation responses were assessed using the Normalized Difference Vegetation Index (NDVI) and Fractional Vegetation Cover (FVC) across woodlands, lawns, and greenways. Results revealed significant spatial and temporal variability: High-intensity zones showed rapid but short-lived recovery, driven by seasonal phenology and the structural filling of exposed surfaces, but failed to sustain these gains over the long term. In contrast, moderate- and low-intensity areas exhibited more stable, long-term recovery, consistent with the Intermediate Disturbance Hypothesis. Woodlands demonstrated strong ecological stability, lawns maintained consistent recovery under regular management, and greenways showed greater resilience in enclosed segments. These findings indicate that regulated human activity can coexist with ecological resilience, providing evidence-based insights for differentiated management of urban green spaces and sustainable recovery strategies.
Suggested Citation
Xuesong Li & Shan Hu & Jianrong Lv & Wenshan Mao & Yang Yue, 2025.
"Human Disturbance and Vegetation Recovery in Urban Green Spaces: A Quasi-Experimental Study on a University Campus,"
Sustainability, MDPI, vol. 18(1), pages 1-19, December.
Handle:
RePEc:gam:jsusta:v:18:y:2025:i:1:p:355-:d:1829113
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