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The Spatial Distribution Characteristics of the Cultivated Land Quality in the Diluvial Fan Terrain of the Arid Region: A Case Study of Jimsar County, Xinjiang, China

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  • Yang Sheng

    (Arid Region Rural Development Resarch Center, Xinjiang Agricultural University, Urumchi 830052, China
    Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumchi 830011, China)

  • Weizhong Liu

    (Arid Region Rural Development Resarch Center, Xinjiang Agricultural University, Urumchi 830052, China)

  • Hailiang Xu

    (Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumchi 830011, China)

  • Xianchao Gao

    (College of Earth Sciences, Jilin University, Changchun 130012, China)

Abstract

Environmental constraints are not only important aspects that affect the cultivated land quality but also necessary factors that shall be considered when evaluating the cultivated land quality scientifically. Moreover, identifying the quality condition of cultivated land accurately is the premise for guaranteeing food security. Based on the case study of diluvial fan terrain in Jimsar County, Xinjiang in the arid region of Northwest China, this study utilizes a geographic information system spatial analysis and a multifactor comprehensive evaluation method and constructs a comprehensive evaluation index system for cultivated land quality on account of three dimensions, namely soil properties, farming conditions, and natural environmental conditions. To reduce the Modifiable Areal Unit Problem (MAUP) effect and improve the accuracy of the quality evaluation results of cultivated land, this study compares the spatial interpolation methods of Inverse Distance Weighted Matrix (IDW), Ordinary Kriging (OK), and Spline Functions (Spline) based on different cultivated land evaluation units. Through the assessment on the comparison results, we finally adopted large-scale cultivated land as the quality evaluation unit of cultivated land and Ordinary Kriging (OK) as the spatial interpolation method. The results indicated that the average grade of the quality index of cultivated land in the diluvial fan terrain of Jimsar County is 6.66 at the middle or lower level; the quality of cultivated land and natural environment conditions reduce with the rise of elevation of the diluvial fan terrain, indicating a vertical zonality differentiation rule; the farming conditions keep sliding from the middle part of diluvial fan terrain to the edge of the diluvial fan terrain and the piedmont slope. The major factors affecting the quality of the cultivated land include the soil capacity, soil pH, soil organic matter, the quantity of straw returning to the field, source of irrigation water, water delivery method, part of the diluvial fan, groundwater level depth, and geomorphic type. Therefore, the measures to improve the quality of the cultivated land are put forward, mainly including improving the soil, carrying out land consolidation projects, and developing highly efficient water-saving irrigation agriculture. This study provides favorable references and directions for the sustainable utilization and quality improvement of cultivated land resources in arid regions.

Suggested Citation

  • Yang Sheng & Weizhong Liu & Hailiang Xu & Xianchao Gao, 2021. "The Spatial Distribution Characteristics of the Cultivated Land Quality in the Diluvial Fan Terrain of the Arid Region: A Case Study of Jimsar County, Xinjiang, China," Land, MDPI, vol. 10(9), pages 1-29, August.
  • Handle: RePEc:gam:jlands:v:10:y:2021:i:9:p:896-:d:621809
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    References listed on IDEAS

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    Cited by:

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    3. Zixuan Wang & Xufeng Fei & Meiling Sheng & Rui Xiao, 2023. "Exploring the Spatial–Temporal Variation in Cultivated Land Quality and Influential Factors in the Lower Reaches of the Yangtze River from 2017 to 2020," Land, MDPI, vol. 12(2), pages 1-14, January.
    4. Jianhui Dong & Wenju Yun & Kening Wu & Shaoshuai Li & Bingrui Liu & Qiaoyuan Lu, 2023. "Spatio-Temporal Analysis of Cultivated Land from 2010 to 2020 in Long’an County, Karst Region, China," Land, MDPI, vol. 12(2), pages 1-22, February.
    5. Chengqiang Li & Junxiao Wang & Liang Ge & Yujie Zhou & Shenglu Zhou, 2022. "Optimization of Sample Construction Based on NDVI for Cultivated Land Quality Prediction," IJERPH, MDPI, vol. 19(13), pages 1-17, June.
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    7. Ziwei Liu & Mingchang Wang & Xingnan Liu & Fengyan Wang & Xiaoyan Li & Jianguo Wang & Guanglei Hou & Shijun Zhao, 2023. "Ecological Security Assessment and Warning of Cultivated Land Quality in the Black Soil Region of Northeast China," Land, MDPI, vol. 12(5), pages 1-17, May.

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