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Spatial and Temporal Variations of Soil pH in Farmland in Xinjiang, China over the Past Decade

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  • Yue Zhang

    (College of Water Resources Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China
    International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Huichun Ye

    (International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Ronghao Liu

    (College of Water Resources Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China)

  • Mingyao Tang

    (Xinjiang Soil and Fertilizer Station, Urumqi 830006, China)

  • Chaojia Nie

    (International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China
    Key Laboratory of Digital Earth Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China)

  • Xuemei Han

    (College of Geology and Mining Engineering, Xinjiang University, Urumqi 830047, China)

  • Xiaoshu Zhao

    (College of Water Resources Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China)

  • Peng Wei

    (College of Water Resources Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China)

  • Fu Wen

    (College of Water Resources Science and Engineering, Taiyuan University of Technology, Taiyuan 030024, China)

Abstract

Soil pH is crucial for the quality of the farmland and crop growth. The objective of this study is to analyze the spatial and temporal variations of farmland soil pH in Xinjiang (XJ), and to provide a scientific basis for soil improvement and agricultural production optimization. Based on soil pH data from XJ farmland in two periods, 2008~2010 and 2019~2021, geostatistical methods and kriging spatial interpolation techniques were employed to analyze the spatiotemporal changes in soil pH and to investigate the relationship between relevant influencing factors and pH over more than a decade. The results indicate that the spatiotemporal distribution of soil pH in XJ farmlands is uneven. Between 2019 and 2021, the average soil pH was 8.11, generally being on the higher side, with a coefficient of variation (CV) of 3.85%, indicating minimal spatial variability. In the farmland soil of Southern Xinjiang (S-XJ), the average pH value was 8.17, significantly higher than that of Northern Xinjiang (N-XJ), which was 8.10, demonstrating a spatial pattern of “higher in the south, lower in the north”. Over the past decade, soil pH in XJ has significantly increased from 8.11 to 8.13, with a 0.05 unit increase in the north and a 0.01 unit increase in the south ( p < 0.05). Regionally, Altay saw the largest increase of 0.22 units, while Bortala Mongol Autonomous Prefecture (Bortala) experienced the most significant decrease, dropping by 0.59 units. Furthermore, this study found that factors such as topography, nutrients, and irrigation methods all have certain influences on the spatial distribution of soil pH in XJ farmland, while variations in climate factors and fertilization levels may affect its long-term temporal changes. These research findings will provide new insights for adjusting and updating agricultural management measures related to soil pH regulation in XJ.

Suggested Citation

  • Yue Zhang & Huichun Ye & Ronghao Liu & Mingyao Tang & Chaojia Nie & Xuemei Han & Xiaoshu Zhao & Peng Wei & Fu Wen, 2024. "Spatial and Temporal Variations of Soil pH in Farmland in Xinjiang, China over the Past Decade," Agriculture, MDPI, vol. 14(7), pages 1-18, June.
    • Handle: RePEc:gam:jagris:v:14:y:2024:i:7:p:1048-:d:1425763
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    References listed on IDEAS

    as
    1. Fairouz Slama & Emna Gargouri-Ellouze & Rachida Bouhlila, 2020. "Impact of rainfall structure and climate change on soil and groundwater salinization," Climatic Change, Springer, vol. 163(1), pages 395-413, November.
    2. Xiansheng Xie & Jianfei Qiu & Xinxin Feng & Yanlin Hou & Shuojin Wang & Shugang Jia & Shutian Liu & Xianda Hou & Sen Dou, 2022. "Spatial Distribution and Estimation Model of Soil pH in Coastal Eastern China," IJERPH, MDPI, vol. 19(24), pages 1-16, December.
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