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Analyzing Driving Factors of Soil Alkalinization Based on Geodetector—A Case in Northeast China

Author

Listed:
  • Lin Bai

    (Department of Geography, Qiqihar University, Qiqihar 161006, China)

  • Jia Zhou

    (Department of Geography, Harbin Normal University, Harbin 150025, China)

  • Jinming Luo

    (Department of Geography, Qiqihar University, Qiqihar 161006, China)

  • Hongshuang Dou

    (Department of Geography, Qiqihar University, Qiqihar 161006, China)

  • Ye Zhang

    (Department of Geography, Qiqihar University, Qiqihar 161006, China)

Abstract

The Songnen Plain of Northeast China is one of the three largest soda saline–alkaline regions in the world. To better understand soil alkalinization in this important agricultural region of China, it is vital to explore the driving factors of soil alkalinity. Combined with prior research on the Wuyu’er–Shuangyang River Basin, this study examined the driving factors of soil alkalinity using the Geodetector method. First, the analysis results of the risk detector, the factor detector, and the ecological detector revealed the primary driving factors of soil alkalinity in the study area. Next, the analysis results of the interaction detector determined how combinations of driving factors impacted soil alkalinity in the study area. In general, the natural driving factors of altitude and spring temperature, especially altitude, played a key role in soil alkalinization. These results indicated that the closed terrain and warming trends were the main causes of soil alkalinization in the study area. In addition, there were significant enhance-nonlinear and enhance-bivariate relationships among the driving factors, which indicated that combined driving factors contributed more to soil alkalinization than individual driving factors.

Suggested Citation

  • Lin Bai & Jia Zhou & Jinming Luo & Hongshuang Dou & Ye Zhang, 2023. "Analyzing Driving Factors of Soil Alkalinization Based on Geodetector—A Case in Northeast China," Sustainability, MDPI, vol. 15(15), pages 1-17, July.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:15:p:11538-:d:1202610
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    References listed on IDEAS

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    1. Maurizio Pisati, 2012. "Exploratory spatial data analysis using Stata," German Stata Users' Group Meetings 2012 07, Stata Users Group.
    2. Gebremeskel, Gebremedhin & Gebremicael, T.G. & Kifle, Mulubrehan & Meresa, Esayas & Gebremedhin, Teferi & Girmay, Abbadi, 2018. "Salinization pattern and its spatial distribution in the irrigated agriculture of Northern Ethiopia: An integrated approach of quantitative and spatial analysis," Agricultural Water Management, Elsevier, vol. 206(C), pages 147-157.
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    Cited by:

    1. Yu Fu & Pengyu Wang & Wengeng Cao & Shiqian Fu & Juanjuan Zhang & Xiangzhi Li & Jiju Guo & Zhiquan Huang & Xidong Chen, 2024. "Long-Term Assessment of Soil Salinization Patterns in the Yellow River Delta Using Landsat Imagery from 2003 to 2021," Land, MDPI, vol. 14(1), pages 1-17, December.
    2. Shiqin Li & Ilyas Nurmemet & Jumeniyaz Seydehmet & Xiaobo Lv & Yilizhati Aili & Xinru Yu, 2024. "Spatiotemporal Dynamics and Driving Factors of Soil Salinization: A Case Study of the Yutian Oasis, Xinjiang, China," Land, MDPI, vol. 13(11), pages 1-23, November.

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