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Distribution of Irrigated and Rainfed Agricultural Land in a Semi-Arid Sandy Area

Author

Listed:
  • Huihui Zheng

    (College of Land Science and Technology, China Agricultural University, Beijing 100193, China)

  • Zhiting Sang

    (College of Land Science and Technology, China Agricultural University, Beijing 100193, China)

  • Kaige Wang

    (College of Land Science and Technology, China Agricultural University, Beijing 100193, China)

  • Yan Xu

    (College of Land Science and Technology, China Agricultural University, Beijing 100193, China
    Key Laboratory of Agricultural Land Quality and Monitoring of Nature Resource, Beijing 100193, China
    Land Use and Management Center, China Agricultural University, Beijing 100193, China)

  • Zhaoyang Cai

    (College of Land Science and Technology, China Agricultural University, Beijing 100193, China)

Abstract

Under water resource and terrain constraints, a certain scale threshold of irrigated and rainfed agricultural areas exists in semi-arid sandy areas. If this threshold is exceeded, water and soil resources will be unbalanced, and the ecological environment will deteriorate. Accurate assessment of the suitable scale of cultivated land in semi-arid sandy areas is of great significance for sustainable utilization of cultivated land resources and regional ecological security. Most existing research methods are based on water resource constraints and rarely consider terrain factors. Therefore, based on the principle of water balance and with the Horqin Left Wing Rear Banner as the research area, this study adopted a multi-objective fuzzy optimization model and relative terrain index analysis method to explore the appropriate spatial ratio of irrigation and rainfed agriculture. The results show that the area of irrigated agriculture in the study area is 77,700 hm 2 , and the appropriate scale is 91,700 hm 2 . The current area of dry farming is 184,600 hm 2 , and the suitable scale is 117,100 hm 2 . The results also show that the utilization efficiency of water and soil resources in irrigated agriculture was not optimal, rainfed agriculture exceeded its suitable scale, and water and soil resources were seriously unbalanced. However, the region of cultivated land that exceeds the appropriate scale is mostly located in an area with poor terrain, less precipitation, and other unsuitable conditions for cultivation, which is prone to abandonment, resulting in deterioration of the ecological environment. Therefore, the spatial layout of agricultural land use in the study area should be adapted to local conditions, and the water-saving structure of irrigated agriculture should be optimized to achieve the maximum comprehensive benefits. Dry farming should be controlled on a reasonable scale, and the part exceeding the appropriate scale should be returned to grassland to ensure sustainable development.

Suggested Citation

  • Huihui Zheng & Zhiting Sang & Kaige Wang & Yan Xu & Zhaoyang Cai, 2022. "Distribution of Irrigated and Rainfed Agricultural Land in a Semi-Arid Sandy Area," Land, MDPI, vol. 11(10), pages 1-13, September.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:10:p:1621-:d:921686
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    References listed on IDEAS

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    1. Biswas, Animesh & Pal, Bijay Baran, 2005. "Application of fuzzy goal programming technique to land use planning in agricultural system," Omega, Elsevier, vol. 33(5), pages 391-398, October.
    2. Pilehforooshha, Parastoo & Karimi, Mohammad & Taleai, Mohammad, 2014. "A GIS-based agricultural land-use allocation model coupling increase and decrease in land demand," Agricultural Systems, Elsevier, vol. 130(C), pages 116-125.
    3. Aldaya, M.M. & Allan, J.A. & Hoekstra, A.Y., 2010. "Strategic importance of green water in international crop trade," Ecological Economics, Elsevier, vol. 69(4), pages 887-894, February.
    4. Holst, Jirko & Liu, Wenping & Zhang, Qian & Doluschitz, Reiner, 2014. "Crop evapotranspiration, arable cropping systems and water sustainability in southern Hebei, P.R. China," Agricultural Water Management, Elsevier, vol. 141(C), pages 47-54.
    5. Mandryk, Maryia & Reidsma, Pytrik & van Ittersum, Martin K., 2017. "Crop and farm level adaptation under future climate challenges: An exploratory study considering multiple objectives for Flevoland, the Netherlands," Agricultural Systems, Elsevier, vol. 152(C), pages 154-164.
    6. Mardani Najafabadi, Mostafa & Ziaee, Saman & Nikouei, Alireza & Ahmadpour Borazjani, Mahmoud, 2019. "Mathematical programming model (MMP) for optimization of regional cropping patterns decisions: A case study," Agricultural Systems, Elsevier, vol. 173(C), pages 218-232.
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