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Investigation on Zoning Management of Saline Soil in Cotton Fields in Alar Reclamation Area, Xinjiang

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  • Fangshuo Zhang

    (College of Information Engineering, Tarim University, Alar 843300, China
    Key Laboratory of Tarim Oasis Agriculture Ministry of Education, Tarim University, Alar 843300, China)

  • Hengyou Wang

    (College of Information Engineering, Tarim University, Alar 843300, China)

  • Xinyu Zhao

    (College of Information Engineering, Tarim University, Alar 843300, China
    Key Laboratory of Tarim Oasis Agriculture Ministry of Education, Tarim University, Alar 843300, China)

  • Qingsong Jiang

    (College of Information Engineering, Tarim University, Alar 843300, China
    Key Laboratory of Tarim Oasis Agriculture Ministry of Education, Tarim University, Alar 843300, China)

Abstract

Aiming at assessing the problems of the high land salinity, high spatial variability of soil nutrients, sloppy management, and low efficiency in the Xinjiang region, research on the precise delineation method of field management zones is being conducted to facilitate differentiated fertilizer management for farmers and increase the level of saline soil improvement. Taking the plots in the experimental area as the research object, traditional statistics, principal component analysis, and fuzzy c-mean classification were applied to divide the management zoning in the study area, and the suitability and effectiveness of the management zoning were evaluated. The study area was at a mild salinization level; the soil organic matter and total nitrogen content were at a low level; total phosphorus was at a medium level; and total potassium and pH reached a high level. pH had a coefficient of variation <0.1, which was weak, and the other soil attributes were of medium variability intensity. The spatial distribution of the soil attributes was highly variable. The results of the principal component analysis showed that the six soil attributes grouped into statistical factors could be divided into three principal components. The results of the fuzzy c-means classification showed that the study area could be divided into four management zones, and there were significant differences in the soil salinity, organic matter, soil nutrients, and other attributes in the different management zones. The different soil attributes could be utilized to determine the management zoning of farmland in the study area with the help of fuzzy c-mean classification.

Suggested Citation

  • Fangshuo Zhang & Hengyou Wang & Xinyu Zhao & Qingsong Jiang, 2023. "Investigation on Zoning Management of Saline Soil in Cotton Fields in Alar Reclamation Area, Xinjiang," Agriculture, MDPI, vol. 14(1), pages 1-13, December.
    • Handle: RePEc:gam:jagris:v:14:y:2023:i:1:p:3-:d:1303338
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    References listed on IDEAS

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    1. Montanarella, Luca & Panagos, Panos, 2021. "The relevance of sustainable soil management within the European Green Deal," Land Use Policy, Elsevier, vol. 100(C).
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