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Spatial Distribution of Soil Nutrients in Farmland in a Hilly Region of the Pearl River Delta in China Based on Geostatistics and the Inverse Distance Weighting Method

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  • Rumi Wang

    (College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
    Guangdong Provincial Key Laboratory of Land Use and Consolidation, Guangzhou 510642, China
    Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China
    Key Laboratory of the Ministry of Natural Resources for Construction Land Transformation, Guangzhou 510642, China)

  • Runyan Zou

    (College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
    Guangdong Provincial Key Laboratory of Land Use and Consolidation, Guangzhou 510642, China
    Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China
    Key Laboratory of the Ministry of Natural Resources for Construction Land Transformation, Guangzhou 510642, China)

  • Jianmei Liu

    (College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
    Guangdong Provincial Key Laboratory of Land Use and Consolidation, Guangzhou 510642, China
    Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China
    Key Laboratory of the Ministry of Natural Resources for Construction Land Transformation, Guangzhou 510642, China)

  • Luo Liu

    (College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
    Guangdong Provincial Key Laboratory of Land Use and Consolidation, Guangzhou 510642, China
    Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China
    Key Laboratory of the Ministry of Natural Resources for Construction Land Transformation, Guangzhou 510642, China)

  • Yueming Hu

    (College of Natural Resources and Environment, South China Agricultural University, Guangzhou 510642, China
    Guangdong Provincial Key Laboratory of Land Use and Consolidation, Guangzhou 510642, China
    Guangdong Province Engineering Research Center for Land Information Technology, Guangzhou 510642, China
    Key Laboratory of the Ministry of Natural Resources for Construction Land Transformation, Guangzhou 510642, China)

Abstract

Soil nutrients are essential factors that reflect farmland quality. Nitrogen, phosphorus, and potassium are essential elements for plants, while silicon is considered a “quasi-essential” element. This study investigated the spatial distribution of plant nutrients in soil in a hilly region of the Pearl River Delta in China. A total of 201 soil samples were collected from farmland topsoil (0–20 cm) for the analysis of total nitrogen (TN), available phosphorus (AP), available potassium (AK), and available silicon (ASi). The coefficients of variation ranged from 47.88% to 76.91%. The NSRs of TN, AP, AK, and ASi were 0.15, 0. 07, 0.12, and 0.13, respectively. The NSRs varied from 0.02 to 0.20. All variables exhibited weak spatial dependence (R 2 < 0.5), except for TN (R 2 = 0.701). After comparing the prediction accuracy of the different methods, we used the inverse distance weighting method to analyze the spatial distribution of plant nutrients in soil. The uniform spatial distribution of AK, TN overall showed a trend of increasing from northeast to southwest, and the overall spatial distribution of AP and ASi showed that the northeast was higher than the southwest. This study provides support for the delimitation of basic farmland protection areas, the formulation of land use spatial planning, and the formulation of accurate farmland protection policies.

Suggested Citation

  • Rumi Wang & Runyan Zou & Jianmei Liu & Luo Liu & Yueming Hu, 2021. "Spatial Distribution of Soil Nutrients in Farmland in a Hilly Region of the Pearl River Delta in China Based on Geostatistics and the Inverse Distance Weighting Method," Agriculture, MDPI, vol. 11(1), pages 1-12, January.
    • Handle: RePEc:gam:jagris:v:11:y:2021:i:1:p:50-:d:477804
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    References listed on IDEAS

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    1. Zhou, H.H. & Chen, Y.N. & Li, W.H., 2010. "Soil properties and their spatial pattern in an oasis on the lower reaches of the Tarim River, northwest China," Agricultural Water Management, Elsevier, vol. 97(11), pages 1915-1922, November.
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    Cited by:

    1. Zunfang Liu & Haochuan Lei & Lei Lei & Haiyan Sheng, 2022. "Spatial Prediction of Total Nitrogen in Soil Surface Layer Based on Machine Learning," Sustainability, MDPI, vol. 14(19), pages 1-14, September.
    2. Bhawna Negi & Kavita Khatri & Surendra Singh Bargali & Kiran Bargali, 2023. "Invasive Ageratina adenophora (Asteraceae) in Agroecosystems of Kumaun Himalaya, India: A Threat to Plant Diversity and Sustainable Crop Yield," Sustainability, MDPI, vol. 15(14), pages 1-21, July.
    3. Wenhui Zhang & Liangwei Cheng & Ruitao Xu & Xiaohua He & Weihan Mo & Jianbo Xu, 2023. "Assessing Spatial Variation and Driving Factors of Available Phosphorus in a Hilly Area (Gaozhou, South China) Using Modeling Approaches and Digital Soil Mapping," Agriculture, MDPI, vol. 13(8), pages 1-18, August.
    4. Pavel Krasilnikov & Miguel Angel Taboada & Amanullah, 2022. "Fertilizer Use, Soil Health and Agricultural Sustainability," Agriculture, MDPI, vol. 12(4), pages 1-5, March.

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