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Analysis of Spatial Variability and Influencing Factors of Soil Nutrients in Western China: A Case Study of the Daliuta Mining Area

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  • Linli Long

    (State Key Laboratory of Water Resource Protection and Utilization in Coal Mining, China Energy Investment, Beijing 102209, China
    School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China)

  • Ying Liu

    (State Key Laboratory of Water Resource Protection and Utilization in Coal Mining, China Energy Investment, Beijing 102209, China
    School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China)

  • Xiaoyang Chen

    (School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China
    Anhui Engineering Laboratory for Comprehensive Utilization of Water and Soil Resources & Ecological Protection in Mining Area with High Groundwater Level, Anhui University of Science and Technology, Huainan 232001, China)

  • Junting Guo

    (State Key Laboratory of Water Resource Protection and Utilization in Coal Mining, China Energy Investment, Beijing 102209, China)

  • Xinhui Li

    (Engineering Research Center of Ministry of Education for Mine Ecological Restoration, China University of Mining and Technology, Xuzhou 221116, China)

  • Yangnan Guo

    (Shenhua Shendong Coal Group Co., Ltd., Technology Research Institute, Shenmu 719315, China)

  • Xuyang Zhang

    (School of Earth and Environment, Anhui University of Science and Technology, Huainan 232001, China)

  • Shaogang Lei

    (Engineering Research Center of Ministry of Education for Mine Ecological Restoration, China University of Mining and Technology, Xuzhou 221116, China)

Abstract

An understanding of the spatial variation and influence factors of soil nutrients in mining areas can provide a reference for land reclamation and ecological restoration. Daliuta was used as the study area. The spatial variability of soil nutrients was analyzed using traditional statistics and geostatistics. The effects of topography, mining history, and soil erosion were discussed. The results indicate that the soil pH of the Daliuta mining area is slightly acidic to slightly alkaline, and the soil organic matter, available nitrogen, available phosphorus, and available potassium belonged to the five levels (very low), six (extremely low), five (extremely low), and four (moderately low), respectively. The soil water and salt content indicated that the soil environment in the mining area is arid and has normal levels of salinity. The organic matter, available nitrogen, available phosphorus, available potassium, and soil salt varied moderately, and the pH did not change much, while the soil water varied strongly. The organic matter, pH, and soil salinity are moderately spatially autocorrelated, and the available nitrogen, available phosphorus, available potassium, and soil water are weakly spatially autocorrelated. Each nutrient index had a certain spatial trend effect. The slope, aspect, elevation, and topographic wetness index are the primary topographic factors that control the spatial distribution of soil nutrients. The organic matter, pH, and soil salinity are moderately spatially autocorrelated, and the available nitrogen, available phosphorus, available potassium, and soil water are weakly spatially autocorrelated. Each nutrient index had a certain spatial trend effect. The slope, aspect, elevation, and topographic wetness index are the primary topographic factors that control the spatial distribution of soil nutrients. Soil erosion and mining history are also important factors that lead to the spatial variation of soil nutrients.

Suggested Citation

  • Linli Long & Ying Liu & Xiaoyang Chen & Junting Guo & Xinhui Li & Yangnan Guo & Xuyang Zhang & Shaogang Lei, 2022. "Analysis of Spatial Variability and Influencing Factors of Soil Nutrients in Western China: A Case Study of the Daliuta Mining Area," Sustainability, MDPI, vol. 14(5), pages 1-18, February.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:5:p:2793-:d:760240
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    References listed on IDEAS

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    1. Hualin Xie & Yanwei Zhang & Zhilong Wu & Tiangui Lv, 2020. "A Bibliometric Analysis on Land Degradation: Current Status, Development, and Future Directions," Land, MDPI, vol. 9(1), pages 1-37, January.
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    1. Fang Li & Kailai Wang & Xin Li & Haodong Zhang & Ying Li, 2022. "The Evaluation and Key-Factor Identification of the Influence of Tourism on the Soil of Mount Tai," Sustainability, MDPI, vol. 14(21), pages 1-15, October.
    2. Yang Hao & Chunhui Liu & Yu Wu & Hai Pu & Kai Zhang & Lingling Shen, 2023. "Analysis of Stress and Deformation on Surrounding Rock Mass of a Trapezoidal Roadway in a Large Inclination Coal Seam and Novel High Yielding Prop Support: A Case Study," Mathematics, MDPI, vol. 11(2), pages 1-19, January.
    3. Huijuan Zhang & Wenkai Liu & Qingfeng Hu & Xiaodong Huang, 2023. "Multi-Scale Integration and Distribution of Soil Organic Matter Spatial Variation in a Coal–Grain Compound Area," Sustainability, MDPI, vol. 15(4), pages 1-17, February.
    4. Huijuan Zhang & Wenkai Liu & Qiuxia Zhang & Xiaodong Huang, 2022. "Three-Dimensional Spatial Distribution and Influential Factors of Soil Total Nitrogen in a Coal Mining Subsidence Area," Sustainability, MDPI, vol. 14(13), pages 1-15, June.

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