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Remote Sensing Identification of Major Crops and Trade-Off of Water and Land Utilization of Oasis in Altay Prefecture

Author

Listed:
  • Gaowei Yan

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Luguang Jiang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Ye Liu

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

The Altay oasis, located at the heart of the transnational ecological conservation zone shared by China, Kazakhstan, Russia, and Mongolia, is a region with tremendous potential for water resource utilization. However, with the continued expansion of agriculture, its ecological vulnerability has become increasingly pronounced. Within this fragile balance lies a critical opportunity: efficient water resource management could pave the way for sustainable development across the entire arid oasis regions. This study uses a decision tree model based on a feature threshold to map the spatial distribution of major crops in the Altay Prefecture oasis, assess their water requirements, and identify the coupling relationships between agricultural water and land resources. Furthermore, it proposed optimization planting structure strategies under three scenarios: water-saving irrigation, cash crop orientation, and forage crop orientation. In 2023, the total planting area of major crops in Altay Prefecture was 3368 km 2 , including spring wheat, spring maize, sunflower, and alfalfa, which consumed 2.68 × 10 9 m 3 of water. Although this area accounted for only 2.85% of the land, it consumed 26.23% of regional water resources, with agricultural water use comprising as much as 82.5% of total consumption, highlighting inefficient agricultural water use as a critical barrier to sustainable agricultural development. Micro-irrigation technologies demonstrate significant water-saving potential. The adoption of such technologies could reduce water consumption by 14.5%, thereby significantly enhancing agricultural water-use efficiency. Cropping structure optimization analysis indicates that sunflower-based planting patterns offer notable water-saving benefits. Increasing the area of sunflower cultivation by one unit can unlock a water-saving potential of 25.91%. Forage crop combinations excluding soybean can increase livestock production by 30.2% under the same level of water consumption, demonstrating their superior effectiveness for livestock system expansion. This study provides valuable insights for achieving sustainable agricultural development in arid regions under different development scenarios.

Suggested Citation

  • Gaowei Yan & Luguang Jiang & Ye Liu, 2025. "Remote Sensing Identification of Major Crops and Trade-Off of Water and Land Utilization of Oasis in Altay Prefecture," Land, MDPI, vol. 14(7), pages 1-28, July.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:7:p:1426-:d:1696552
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    as
    1. Parra-López, Carlos & Ben Abdallah, Saker & Garcia-Garcia, Guillermo & Hassoun, Abdo & Trollman, Hana & Jagtap, Sandeep & Gupta, Sumit & Aït-Kaddour, Abderrahmane & Makmuang, Sureerat & Carmona-Torres, 2025. "Digital technologies for water use and management in agriculture: Recent applications and future outlook," Agricultural Water Management, Elsevier, vol. 309(C).
    2. Xiao, Yu & Zhang, Jing & Jia, Ting Ting & Pang, Xiao Pan & Guo, Zheng Gang, 2015. "Effects of alternate furrow irrigation on the biomass and quality of alfalfa (Medicago sativa)," Agricultural Water Management, Elsevier, vol. 161(C), pages 147-154.
    3. Feng, Gary & Jin, Wei & Ouyang, Ying & Huang, Yanbo, 2024. "The role of changing land use and irrigation scheduling in groundwater depletion mitigation in a humid region," Agricultural Water Management, Elsevier, vol. 291(C).
    4. Howell, Terry A. & Evett, Steven R. & Tolk, Judy A. & Copeland, Karen S. & Marek, Thomas H., 2015. "Evapotranspiration, water productivity and crop coefficients for irrigated sunflower in the U.S. Southern High Plains," Agricultural Water Management, Elsevier, vol. 162(C), pages 33-46.
    5. Runqi Lun & Wei Liu & Guojing Li & Qiyou Luo, 2024. "Does Digital Agricultural Technology Extension Service Enhance Sustainable Food Production? Evidence from Maize Farmers in China," Agriculture, MDPI, vol. 14(2), pages 1-23, February.
    6. Bingjie Xu & Weijun Liu, 2025. "The Real Impact of Digital Agricultural Technology Extension on Pesticide Reduction Behavior Among Wheat Farmers in Henan, China," Agriculture, MDPI, vol. 15(9), pages 1-18, May.
    7. Li, Wenhao & Kang, Shaozhong & Du, Taisheng & Ding, Risheng & Zou, Minzhong, 2024. "Optimal groundwater depth and irrigation amount can mitigate secondary salinization in water-saving irrigated areas in arid regions," Agricultural Water Management, Elsevier, vol. 302(C).
    8. Gonzalez T., Francisco & Pavek, Mark J. & Holden, Zachary J. & Garza, Rudy, 2023. "Evaluating potato evapotranspiration and crop coefficients in the Columbia Basin of Washington state," Agricultural Water Management, Elsevier, vol. 286(C).
    9. Luo, Wanqi & Chen, Mengting & Kang, Yinhong & Li, Wenping & Li, Dan & Cui, Yuanlai & Khan, Shahbaz & Luo, Yufeng, 2022. "Analysis of crop water requirements and irrigation demands for rice: Implications for increasing effective rainfall," Agricultural Water Management, Elsevier, vol. 260(C).
    10. Wu, Xin & Zheng, Yi & Wu, Bin & Tian, Yong & Han, Feng & Zheng, Chunmiao, 2016. "Optimizing conjunctive use of surface water and groundwater for irrigation to address human-nature water conflicts: A surrogate modeling approach," Agricultural Water Management, Elsevier, vol. 163(C), pages 380-392.
    11. Qifei Zhang & Congjian Sun & Yaning Chen & Wei Chen & Yanyun Xiang & Jiao Li & Yuting Liu, 2022. "Recent Oasis Dynamics and Ecological Security in the Tarim River Basin, Central Asia," Sustainability, MDPI, vol. 14(6), pages 1-21, March.
    12. He, Pingru & Yu, Shuang’en & Ding, Jihui & Ma, Tao & Li, Jin’gang & Dai, Yan & Chen, Kaiwen & Peng, Suhan & Zeng, Guangquan & Guo, Shuaishuai, 2024. "Multi-objective optimization of farmland water level and nitrogen fertilization management for winter wheat cultivation under waterlogging conditions based on TOPSIS-Entropy," Agricultural Water Management, Elsevier, vol. 297(C).
    13. Yadu Pokhrel & Farshid Felfelani & Yusuke Satoh & Julien Boulange & Peter Burek & Anne Gädeke & Dieter Gerten & Simon N. Gosling & Manolis Grillakis & Lukas Gudmundsson & Naota Hanasaki & Hyungjun Kim, 2021. "Global terrestrial water storage and drought severity under climate change," Nature Climate Change, Nature, vol. 11(3), pages 226-233, March.
    14. Sun, Jiaxin & Yang, Yanli & Qi, Peng & Zhang, Guangxin & Wu, Yao, 2024. "Development and application of a new water-carbon-economy coupling model (WCECM) for optimal allocation of agricultural water and land resources," Agricultural Water Management, Elsevier, vol. 291(C).
    15. Tamimi, Mansoor Al & Green, Steve & Hammami, Zied & Ammar, Khalil & Ketbi, Mouza Al & Al-Shrouf, Ali M. & Dawoud, Mohamed & Kennedy, Lesley & Clothier, Brent, 2022. "Evapotranspiration and crop coefficients using lysimeter measurements for food crops in the hyper-arid United Arab Emirates," Agricultural Water Management, Elsevier, vol. 272(C).
    16. Feng, Ying & Guo, Ying & Shen, Yanjun & Zhang, Guangxin & Wang, Yanfang & Chen, Xiaolu, 2024. "Change of crop structure intensified water supply-demand imbalance in China’s Black Soil Granary," Agricultural Water Management, Elsevier, vol. 306(C).
    17. Fan, Suning & Liu, Tongbing & Zou, Minzhong & Fang, Yu & Niu, Jun & Kang, Shaozhong, 2025. "Spatiotemporal dynamics and driving factors of irrigation water demands in China," Agricultural Water Management, Elsevier, vol. 312(C).
    18. Xiaojun Zhi & Gulishengmu Anfuding & Guang Yang & Ping Gong & Chunxia Wang & Yi Li & Xiaolong Li & Pengfei Li & Chenxi Liu & Changlu Qiao & Yongli Gao, 2022. "Evaluation of the Water Resource Carrying Capacity on the North Slope of the Tianshan Mountains, Northwest China," Sustainability, MDPI, vol. 14(3), pages 1-16, February.
    19. Xu, Junzeng & Liu, Xiaoyin & Yang, Shihong & Qi, Zhiming & Wang, Yijiang, 2017. "Modeling rice evapotranspiration under water-saving irrigation by calibrating canopy resistance model parameters in the Penman-Monteith equation," Agricultural Water Management, Elsevier, vol. 182(C), pages 55-66.
    20. Sezen, S.M. & Yazar, A. & Kapur, B. & Tekin, S., 2011. "Comparison of drip and sprinkler irrigation strategies on sunflower seed and oil yield and quality under Mediterranean climatic conditions," Agricultural Water Management, Elsevier, vol. 98(7), pages 1153-1161, May.
    21. Xuhua Hu & Yang Xu & Peng Huang & Dan Yuan & Changhong Song & Yingtao Wang & Yuanlai Cui & Yufeng Luo, 2024. "Identifying Changes and Their Drivers in Paddy Fields of Northeast China: Past and Future," Agriculture, MDPI, vol. 14(11), pages 1-20, October.
    22. Zhao, Nan & Zheng, Xinjun & Zhang, Bin & Tian, Shengchuan & Du, Lan & Li, Yan, 2025. "Does water-saving irrigation truly conserve water? Yes and No," Agricultural Water Management, Elsevier, vol. 311(C).
    23. Miao, Qingfeng & Rosa, Ricardo D. & Shi, Haibin & Paredes, Paula & Zhu, Li & Dai, Jiaxin & Gonçalves, José M. & Pereira, Luis S., 2016. "Modeling water use, transpiration and soil evaporation of spring wheat–maize and spring wheat–sunflower relay intercropping using the dual crop coefficient approach," Agricultural Water Management, Elsevier, vol. 165(C), pages 211-229.
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