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The Spatiotemporal Evolution Characteristics of Cultivated Land Multifunction and Its Trade-Off/Synergy Relationship in the Two Lake Plains

Author

Listed:
  • Xigui Li

    (College of Landscape Architecture and Art Design, Hunan Agricultural University, Changsha 410128, China)

  • Pengnan Xiao

    (The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China)

  • Yong Zhou

    (The College of Urban & Environmental Sciences, Central China Normal University, Wuhan 430079, China)

  • Jie Xu

    (Faculty of Resources and Environmental Science, Hubei University, Wuhan 430062, China)

  • Qing Wu

    (Tourism and Historical Culture College, Zhaoqing University, Zhaoqing 526061, China)

Abstract

The material foundation of sustainable agricultural development is cultivated land resources, and their sustainable use is critical to fostering agricultural sustainability and guaranteeing national food security. In this paper, the multifunctional evaluation framework of the cultivated land system based on the “GESEL” model at the grid scale (5 km × 5 km) is constructed to explore the spatiotemporal evolution characteristics of a multifunctional cultivated land system in two lake plains and the trade-off and synergy between the functions. The five functions are all unstable in time scales, and their spatial distribution characteristics are also different. The trade-off and synergy between the multiple functions of the cultivated land system in the two lake plains from 2000 to 2019 showed significant spatial heterogeneity. Most of the functions were mainly collaborative, and a few were trade-offs. The two lake plains can be divided into four multi-functional cultivated land zones: a grain production leading zone, a distinctive agricultural planting zone, a high-efficiency agricultural development zone, and an ecological agricultural construction zone. This research puts forward some countermeasures and suggestions to promote the sustainable utilization of cultivated land resources.

Suggested Citation

  • Xigui Li & Pengnan Xiao & Yong Zhou & Jie Xu & Qing Wu, 2022. "The Spatiotemporal Evolution Characteristics of Cultivated Land Multifunction and Its Trade-Off/Synergy Relationship in the Two Lake Plains," IJERPH, MDPI, vol. 19(22), pages 1-34, November.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:22:p:15040-:d:973465
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    1. Robert Pontius & Wideke Boersma & Jean-Christophe Castella & Keith Clarke & Ton Nijs & Charles Dietzel & Zengqiang Duan & Eric Fotsing & Noah Goldstein & Kasper Kok & Eric Koomen & Christopher Lippitt, 2008. "Comparing the input, output, and validation maps for several models of land change," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(1), pages 11-37, March.
    2. Markus Reichstein & Gustau Camps-Valls & Bjorn Stevens & Martin Jung & Joachim Denzler & Nuno Carvalhais & Prabhat, 2019. "Deep learning and process understanding for data-driven Earth system science," Nature, Nature, vol. 566(7743), pages 195-204, February.
    3. Chen, Lili & Zhao, Hongsheng & Song, Ge & Liu, Ye, 2021. "Optimization of cultivated land pattern for achieving cultivated land system security: A case study in Heilongjiang Province, China," Land Use Policy, Elsevier, vol. 108(C).
    4. Meng, Jijun & Cheng, Haoran & Li, Feng & Han, Ziyan & Wei, Chanjuan & Wu, Yingdi & You, Ng Wuh & Zhu, Likai, 2022. "Spatial-temporal trade-offs of land multi-functionality and function zoning at finer township scale in the middle reaches of the Heihe River," Land Use Policy, Elsevier, vol. 115(C).
    5. Junhan Li & Kaichun Zhou & Huimin Dong & Binggeng Xie, 2020. "Cultivated Land Change, Driving Forces and Its Impact on Landscape Pattern Changes in the Dongting Lake Basin," IJERPH, MDPI, vol. 17(21), pages 1-25, October.
    6. Chong Zhao & Yong Zhou & Xigui Li & Pengnan Xiao & Jinhui Jiang, 2018. "Assessment of Cultivated Land Productivity and Its Spatial Differentiation in Dongting Lake Region: A Case Study of Yuanjiang City, Hunan Province," Sustainability, MDPI, vol. 10(10), pages 1-15, October.
    7. Mingjie Wang & Bin Yu & Rongrong Zhuo & Zhuofan Li, 2022. "A Geographic Analysis on Rural Reconstruction-Transformation-Revitalization: A Case Study of Jianghan Plain in China," Land, MDPI, vol. 11(5), pages 1-25, April.
    8. Peter Verburg & Bas Eickhout & Hans Meijl, 2008. "A multi-scale, multi-model approach for analyzing the future dynamics of European land use," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 42(1), pages 57-77, March.
    9. Weiyan Hu & Siyu Zhang & Yan Song & Tian Liu & Yingchao Lin & Anlu Zhang, 2018. "Effects of Multifunctional Rural Land Use on Residents’ Wellbeing: Evidence from the Xinzhou District of Wuhan City, China," Sustainability, MDPI, vol. 10(10), pages 1-18, October.
    10. Chen, Lili & Song, Ge & Meadows, Michael E. & Zou, Chaohui, 2018. "Spatio-temporal evolution of the early-warning status of cultivated land and its driving factors: A case study of Heilongjiang Province, China," Land Use Policy, Elsevier, vol. 72(C), pages 280-292.
    11. Rui Zhao & Junying Li & Kening Wu & Long Kang, 2021. "Cultivated Land Use Zoning Based on Soil Function Evaluation from the Perspective of Black Soil Protection," Land, MDPI, vol. 10(6), pages 1-29, June.
    12. Xin Yang & Guangyin Shang, 2020. "Smallholders’ Agricultural Production Efficiency of Conservation Tillage in Jianghan Plain, China—Based on a Three-Stage DEA Model," IJERPH, MDPI, vol. 17(20), pages 1-12, October.
    13. Yue Su & Chong Su & Yan Xie & Tan Li & Yongjun Li & Yuanyuan Sun, 2022. "Controlling Non-Grain Production Based on Cultivated Land Multifunction Assessment," IJERPH, MDPI, vol. 19(3), pages 1-17, January.
    14. Xueping Su & Yong Zhou & Qing Li, 2021. "Designing Ecological Security Patterns Based on the Framework of Ecological Quality and Ecological Sensitivity: A Case Study of Jianghan Plain, China," IJERPH, MDPI, vol. 18(16), pages 1-32, August.
    15. Jia Gao & Yaohui Zhu & Rongrong Zhao & Hongjun Sui, 2022. "The Use of Cultivated Land for Multiple Functions in Major Grain-Producing Areas in Northeast China: Spatial-Temporal Pattern and Driving Forces," Land, MDPI, vol. 11(9), pages 1-19, September.
    16. Dong Huang & Xiaohuan Yang & Nan Dong & Hongyan Cai, 2017. "Evaluating Grid Size Suitability of Population Distribution Data via Improved ALV Method: A Case Study in Anhui Province, China," Sustainability, MDPI, vol. 10(1), pages 1-15, December.
    17. Pengnan Xiao & Peng Qian & Jie Xu & Mengyao Lu, 2022. "A Bibliometric Analysis of the Application of Remote Sensing in Crop Spatial Patterns: Current Status, Progress and Future Directions," Sustainability, MDPI, vol. 14(7), pages 1-29, March.
    18. Siyu Zhang & Weiyan Hu & Liejia Huang & Hongjie Du, 2019. "Exploring the Effectiveness of Multifunctional Cultivated Land Protection Linking Supply to Demand in Value Engineering Theory: Evidence from Wuhan Metropolitan Area," Sustainability, MDPI, vol. 11(22), pages 1-18, November.
    19. Yuanyuan Zhu & Xiaoqi Zhou & Yilin Gan & Jing Chen & Ruilin Yu, 2021. "Spatio-Temporal Differentiation and Driving Mechanism of the “Resource Curse” of the Cultivated Land in Main Agricultural Production Regions: A Case Study of Jianghan Plain, Central China," IJERPH, MDPI, vol. 18(3), pages 1-17, January.
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