Ecological benefits of artificial vegetation restoration on local climate condition in abandoned mining area

• Abandoned mining area in Hami, Xinjiang, suffers from severe ecological degradation. • Artificial re-vegetation has proven to be an effective strategy for improving local climate conditions. • Long-range transported air mass from NW direction brought cooler and humid air to study site. • Vegetation restoration plays a crucial role in moderating temperatures and enhancing humidity. • Windbreak efficiency was markedly enhanced by the vegetation restoration. The abandoned mining area in Hami, Xinjiang, suffers from severe ecological degradation, necessitating urgent vegetation restoration to improve local climate conditions. This study examines the ecological benefits of artificial re-vegetation conducted by our team since 2021. Using the Hybrid Single-Particle Lagrangian Integrated Trajectory model (HYSPLIT) backward trajectory model and Global Data Assimilation System (GDAS) meteorological data, the long-range movement paths of air masses reaching the study area were identified. Simultaneously, on-site monitoring of meteorological factors (air temperature and humidity) was conducted to compare differences between the control point (non-vegetated area) and the artificially vegetated area. Additionally, wind speeds were monitored on both the windward and leeward sides of the vegetation restoration area for 66 days. Wind directions perpendicular to vegetation, to assess windbreak efficiency. The results indicated that the HYSPLIT model and the K-means clustering technique classified air masses’ long-range transportation into three categories: NW, N, and ES clusters. This classification illustrated the impact of regional climatic systems on local conditions. It showed cooler and more humid air masses from the northwest contributing significantly to local climate improvements. In the restored areas, high vegetation coverage and height significantly reduced air temperature by up to 1.5 °C and increased humidity by 2.7 % compared to the control area. Windbreak efficiency was notably enhanced, with wind speeds at 0.5 to 1 m heights on the leeward side reduced by approximately 1.2–1.7 m/s. This study underscores the critical role of artificial vegetation restoration in mitigating mining activities’ adverse effects, improving local climatic conditions, and promoting sustainable ecological rehabilitation in arid regions. The findings provide valuable insights for future ecological restoration projects and sustainable environmental management in similar degraded landscapes.

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Publication Details

Journal
Ecological Indicators
Published
2024-12-01
DOI
https://doi.org/10.1016/j.ecolind.2024.112964
Citations
5
Primary Topic
Integrated Water Resources Management
Type
article
Field-Weighted Citation Impact
1.01
Controls
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Ecological benefits of artificial vegetation restoration on local climate condition in abandoned mining area

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5 citations
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Integrated Water Resources Management
1.01
article

Ecological benefits of artificial vegetation restoration on local climate condition in abandoned mining area

Abdul Waheed, Fabiola Bakayisire, Qin Zhang, Tao Lin, Xu Hailiang, Zhang Yu-guang, Aishajiang Aili
article en
5 citations

Abstract

• Abandoned mining area in Hami, Xinjiang, suffers from severe ecological degradation. • Artificial re-vegetation has proven to be an effective strategy for improving local climate conditions. • Long-range transported air mass from NW direction brought cooler and humid air to study site. • Vegetation restoration plays a crucial role in moderating temperatures and enhancing humidity. • Windbreak efficiency was markedly enhanced by the vegetation restoration. The abandoned mining area in Hami, Xinjiang, suffers from severe ecological degradation, necessitating urgent vegetation restoration to improve local climate conditions. This study examines the ecological benefits of artificial re-vegetation conducted by our team since 2021. Using the Hybrid Single-Particle Lagrangian Integrated Trajectory model (HYSPLIT) backward trajectory model and Global Data Assimilation System (GDAS) meteorological data, the long-range movement paths of air masses reaching the study area were identified. Simultaneously, on-site monitoring of meteorological factors (air temperature and humidity) was conducted to compare differences between the control point (non-vegetated area) and the artificially vegetated area. Additionally, wind speeds were monitored on both the windward and leeward sides of the vegetation restoration area for 66 days. Wind directions perpendicular to vegetation, to assess windbreak efficiency. The results indicated that the HYSPLIT model and the K-means clustering technique classified air masses’ long-range transportation into three categories: NW, N, and ES clusters. This classification illustrated the impact of regional climatic systems on local conditions. It showed cooler and more humid air masses from the northwest contributing significantly to local climate improvements. In the restored areas, high vegetation coverage and height significantly reduced air temperature by up to 1.5 °C and increased humidity by 2.7 % compared to the control area. Windbreak efficiency was notably enhanced, with wind speeds at 0.5 to 1 m heights on the leeward side reduced by approximately 1.2–1.7 m/s. This study underscores the critical role of artificial vegetation restoration in mitigating mining activities’ adverse effects, improving local climatic conditions, and promoting sustainable ecological rehabilitation in arid regions. The findings provide valuable insights for future ecological restoration projects and sustainable environmental management in similar degraded landscapes.

Ecological IndicatorsVol. 169
Chinese Academy of Sciences (CN), Xinjiang Institute of Ecology and Geography (CN), State Development & Investment Corporation (China) (CN), Ministry of Natural Resources (RW)
Climate action
Openalex Percentile: Top 25%
Integrated Water Resources Management
1.01
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