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Cultivated Land Use Layout Adjustment Based on Crop Planting Suitability: A Case Study of Typical Counties in Northeast China

Author

Listed:
  • Ge Song

    (School of Humanities and Law, Northeastern University, Shenyang 110169, China)

  • Hongmei Zhang

    (School of Humanities and Law, Northeastern University, Shenyang 110169, China)

Abstract

Cultivated land use layout adjustment (CLULA) based on crop planting suitability is the refinement and deepening of land use transformation, which is of great significance for optimizing the allocation of cultivated land resources and ensuring food security. At present, people rarely consider the land suitability of crops when using cultivated land, resulting in an imbalance between crop distribution and resource conditions such as water, heat, and soil, and adversely affects the ecological security and utilization efficiency of cultivated land. To alleviate China’s grain planting structural imbalance and efficiency loss, this paper based on the planting suitability of main food crops (rice, soybean, and maize) to adjust and optimize the cultivated land use layout (CLUL) in the typical counties of the main grain production area in Northeast China, using the agent-based model for optimal land allocation (AgentLA) and GIS technology. Findings from the study show that: (1) The planting suitability of rice, soybean, and maize in the region is obviously different. Among them, the suitability level of soybean and maize is high, and that of rice is low. The current CLUL of the food crops needs to be further optimized and adjusted. (2) By optimizing the layout of rice, soybean, and maize, the planting suitability level of the food crops and the concentration level of the CLUL spatial pattern have been improved. (3) The plan for CLULA is formulated: The study area is divided into rice stable production area, maize-soybean rotation area, maize dominant area, and soybean dominant area, and town or village is identified as the implementation unit of CLULA. The plan for CLULA will be conducive to the concentrated farming of food crops according to the suitable natural conditions and management level. The research realized the optimization of spatial structure and cultivated land use patterns of different food crops integrating farming with protecting land. The significance of the study is that it provides a scientific basis and guidance for adjusting the regional planting structure and solving the problem of food structural imbalance.

Suggested Citation

  • Ge Song & Hongmei Zhang, 2021. "Cultivated Land Use Layout Adjustment Based on Crop Planting Suitability: A Case Study of Typical Counties in Northeast China," Land, MDPI, vol. 10(2), pages 1-19, January.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:2:p:107-:d:485734
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    4. Sahar Shahpari & Janelle Allison & Matthew Tom Harrison & Roger Stanley, 2021. "An Integrated Economic, Environmental and Social Approach to Agricultural Land-Use Planning," Land, MDPI, vol. 10(4), pages 1-18, April.
    5. Talukdar, Swapan & Naikoo, Mohd Waseem & Mallick, Javed & Praveen, Bushra & Shahfahad, & Sharma, Pritee & Islam, Abu Reza Md. Towfiqul & Pal, Swades & Rahman, Atiqur, 2022. "Coupling geographic information system integrated fuzzy logic-analytical hierarchy process with global and machine learning based sensitivity analysis for agricultural suitability mapping," Agricultural Systems, Elsevier, vol. 196(C).
    6. Pengnan Xiao & Jie Xu & Zupeng Yu & Peng Qian & Mengyao Lu & Chao Ma, 2022. "Spatiotemporal Pattern Differentiation and Influencing Factors of Cultivated Land Use Efficiency in Hubei Province under Carbon Emission Constraints," Sustainability, MDPI, vol. 14(12), pages 1-24, June.
    7. Songze Wu & Dongyan Wang, 2023. "Storing Grain in the Land: The Gestation, Delineation Framework, and Case of the Two Zones Policy in China," Land, MDPI, vol. 12(4), pages 1-25, April.
    8. Zhe Zhao & Xiangzheng Deng & Fan Zhang & Zhihui Li & Wenjiao Shi & Zhigang Sun & Xuezhen Zhang, 2022. "Scenario Analysis of Livestock Carrying Capacity Risk in Farmland from the Perspective of Planting and Breeding Balance in Northeast China," Land, MDPI, vol. 11(3), pages 1-13, March.
    9. Gaofeng Ren & Xiao Cui, 2024. "The Government–Farmer Cooperation Mechanism and Its Implementation Path to Realize the Goals of Optimizing Grain Planting Structure," Land, MDPI, vol. 13(3), pages 1-25, March.
    10. Quanfeng Li & Wei Liu & Guoming Du & Bonoua Faye & Huanyuan Wang & Yunkai Li & Lu Wang & Shijin Qu, 2022. "Spatiotemporal Evolution of Crop Planting Structure in the Black Soil Region of Northeast China: A Case Study in Hailun County," Land, MDPI, vol. 11(6), pages 1-14, May.
    11. Xianbo Cheng & Yu Tao & Conghong Huang & Jialin Yi & Dan Yi & Fei Wang & Qin Tao & Henghui Xi & Weixin Ou, 2022. "Unraveling the Causal Mechanisms for Non-Grain Production of Cultivated Land: An Analysis Framework Applied in Liyang, China," Land, MDPI, vol. 11(11), pages 1-20, October.
    12. Bingkui Qiu & Yan Tu & Guoliang Ou & Min Zhou & Yifan Zhu & Shuhan Liu & Haoyang Ma, 2023. "Optimal Modeling of Sustainable Land Use Planning under Uncertain at a Watershed Level: Interval Stochastic Fuzzy Linear Programming with Chance Constraints," Land, MDPI, vol. 12(5), pages 1-21, May.

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