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Effect of Underground Coal Mining on the Regional Soil Organic Carbon Pool in Farmland in a Mining Subsidence Area

Author

Listed:
  • Zhanjun Xu

    (Institute of Land Science, College of Resources and Environment, Shanxi Agricultural University, Taigu 030801, China)

  • Yuan Zhang

    (Institute of Land Science, College of Resources and Environment, Shanxi Agricultural University, Taigu 030801, China)

  • Jason Yang

    (Institute of Land Science, College of Resources and Environment, Shanxi Agricultural University, Taigu 030801, China)

  • Fenwu Liu

    (Institute of Land Science, College of Resources and Environment, Shanxi Agricultural University, Taigu 030801, China)

  • Rutian Bi

    (Institute of Land Science, College of Resources and Environment, Shanxi Agricultural University, Taigu 030801, China)

  • Hongfen Zhu

    (Institute of Land Science, College of Resources and Environment, Shanxi Agricultural University, Taigu 030801, China)

  • Chunjuan Lv

    (Institute of Land Science, College of Resources and Environment, Shanxi Agricultural University, Taigu 030801, China)

  • Jian Yu

    (College of Territorial Resources and Tourism, Anhui Normal University, Wuhu 241003, China)

Abstract

The soil organic carbon (SOC) pool in farmland is changing rapidly due to human activities, thereby greatly affecting the regional and global environment, as well as influencing soil fertility and crop yields. The present study investigated the effects of underground coal mining on the regional SOC pool in farmland in the Jiuli Mining Area of Xuzhou City in China as a typical coal mining region based on field sampling, chemical analysis, model construction, and spatial analysis using the software of ArcGIS. The results showed that in the mining subsidence area, spatial variations in the SOC content and soil bulk density were mainly caused by structural factors (mining subsidence, subsidence waterlogging, and other structural factors due to coal mining) at a regional scale. SOC storage in farmland soil decreased sharply in non-waterlogged subsidence farmland and seasonally waterlogged subsidence farmland in the areas with mining, whereas the SOC storage increased in waterlogged wetland after coal mining. The SOC was reduced by 102,882 tonnes (32.81%) compared with the original SOC stock as a consequence of coal mining, and thus the effect of underground coal mining on the regional SOC pool in farmland was characterized as a carbon loss process. Land-use changes, soil degradation and erosion contributed almost equally to the carbon loss process in the study area. The results of this study may facilitate evaluations of low-carbon land reclamation and ecological compensation in mining areas.

Suggested Citation

  • Zhanjun Xu & Yuan Zhang & Jason Yang & Fenwu Liu & Rutian Bi & Hongfen Zhu & Chunjuan Lv & Jian Yu, 2019. "Effect of Underground Coal Mining on the Regional Soil Organic Carbon Pool in Farmland in a Mining Subsidence Area," Sustainability, MDPI, vol. 11(18), pages 1-19, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:18:p:4961-:d:266284
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    References listed on IDEAS

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    1. W C M van Beers & J P C Kleijnen, 2003. "Kriging for interpolation in random simulation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(3), pages 255-262, March.
    2. R. Lal, 2007. "Carbon Management in Agricultural Soils," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 12(2), pages 303-322, February.
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    Cited by:

    1. Li Li & Tingliang Li & Huisheng Meng & Yinghe Xie & Jie Zhang & Jianping Hong, 2021. "Effects of Seven-Year Fertilization Reclamation on Bacterial Community in a Coal Mining Subsidence Area in Shanxi, China," IJERPH, MDPI, vol. 18(23), pages 1-16, November.
    2. Ahmed Ali Abdelrhman & Lili Gao & Shengping Li & Jinjing Lu & Xiaojun Song & Mengni Zhang & Fengjun Zheng & Huijun Wu & Xueping Wu, 2021. "Long-Term Application of Organic Wastes Improves Soil Carbon and Structural Properties in Dryland Affected by Coal Mining Activity," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    3. Hongfen Zhu & Ruipeng Sun & Zhanjun Xu & Chunjuan Lv & Rutian Bi, 2020. "Prediction of Soil Nutrients Based on Topographic Factors and Remote Sensing Index in a Coal Mining Area, China," Sustainability, MDPI, vol. 12(4), pages 1-16, February.

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