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Study on the Spatial Allocation of Receding Land and Water Reduction under Water Resource Constraints in Arid Zones

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  • Xin Yan

    (School of Science, Shihezi University, Shihezi 832000, China
    Key Laboratory of Oasis Towns and Mountain Basin System Ecology of Xinjiang Production and Construction Corps, Shihezi 832000, China)

  • Yuejian Wang

    (School of Science, Shihezi University, Shihezi 832000, China
    Key Laboratory of Oasis Towns and Mountain Basin System Ecology of Xinjiang Production and Construction Corps, Shihezi 832000, China)

  • Yuejiao Chen

    (School of Science, Shihezi University, Shihezi 832000, China
    Key Laboratory of Oasis Towns and Mountain Basin System Ecology of Xinjiang Production and Construction Corps, Shihezi 832000, China)

  • Guang Yang

    (College of Water and Architectural Engineering, Shihezi University, Shihezi 832000, China
    Key Laboratory of Modern Water-Saving Irrigation of Xinjiang Production and Construction Corps, Shihezi 832000, China)

  • Baofei Xia

    (School of Science, Shihezi University, Shihezi 832000, China)

  • Hailiang Xu

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

Abstract

The withdrawal of cultivated land policy is not only an important task to promote cultivated land rest and alleviate the contradiction between supply and demand of water resources in arid areas, but also an important way to realize the sustainable development of agriculture and social economy. This study adopted the minimum per capita area method, ESPR (Exposure-Sensitivity-Pressure-Response) vulnerability assessment model, grey prediction model, and GIS spatial analysis. Furthermore, based on the characteristics of water resource constraints in the arid zone, Manas County was used as the study area. By exploring and analyzing the area of land retreat, through identifying its occurrence and position, the spatial zoning layout of land retreat can be realized to guarantee the effective implementation of water retreat and reduction. The following points were noted from the results: (1) the upper and lower limits of the area of receding land in Manas County were measured using the minimum per capita area method and the principle of balancing water supply and demand. The receding land in Manas County measured 16,493.68–20,749.90 hm 2 , which accounted for 24.31–30.58% of the total area of cultivated land. (2) The results obtained from constructing the ESPR vulnerability assessment model, used to assess the vulnerability of cultivated land in Manas County, showed that the overall vulnerability of cultivated land in Manas County was high, with 94.74% of the county’s cultivated land being moderately vulnerable or worse, which necessitates the optimization of land use. (3) The area of cultivated land withdrawal under the water resource constraint was used as a constraint for the withdrawal of cultivated land. Based on the evaluation of the vulnerability of cultivated land, with the results arranged from small to large, it was concluded that the area of cultivated land withdrawal in Manas County could reach up to 16,787.34 hm 2 . There are four types of cultivated land withdrawals: desertified withdrawal, saline withdrawal, groundwater overexploitation withdrawal, and soil contamination withdrawal. The results of this study can provide a reference for Manas County to scientifically formulate a reasonable and orderly withdrawal system of farmland to reduce water use.

Suggested Citation

  • Xin Yan & Yuejian Wang & Yuejiao Chen & Guang Yang & Baofei Xia & Hailiang Xu, 2022. "Study on the Spatial Allocation of Receding Land and Water Reduction under Water Resource Constraints in Arid Zones," Agriculture, MDPI, vol. 12(7), pages 1-18, June.
  • Handle: RePEc:gam:jagris:v:12:y:2022:i:7:p:926-:d:848412
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    References listed on IDEAS

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    3. Saeed Nikghalb & Alireza Shokoohi & Vijay P. Singh & Ruihong Yu, 2016. "Ecological Regime versus Minimum Environmental Flow:Comparison of Results for a River in a Semi Mediterranean Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(13), pages 4969-4984, October.
    4. Sijing Ye & Changqing Song & Peichao Gao & Chenyu Liu & Changxiu Cheng, 2022. "Visualizing clustering characteristics of multidimensional arable land quality indexes at the county level in mainland China," Environment and Planning A, , vol. 54(2), pages 222-225, March.
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