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Spatial Layout Optimization and Simulation of Cultivated Land Based on the Life Community Theory in a Mountainous and Hilly Area of China

Author

Listed:
  • Qian Sun

    (College of Information Science and Engineering, Shandong Agricultural University, Taian 271018, China)

  • Mingjie Wu

    (Luyi Town Government, Boxing County, Binzhou 256506, China)

  • Peiyu Du

    (College of Resources and Environment, Shandong Agricultural University, Taian 271018, China)

  • Wei Qi

    (College of Resources and Environment, Shandong Agricultural University, Taian 271018, China)

  • Xinyang Yu

    (College of Resources and Environment, Shandong Agricultural University, Taian 271018, China)

Abstract

China feeds 22 percent of people with 9 percent of the world’s cultivated land. The spatial layout optimization of cultivated land is of strategic significance to the sustainable development of socio-economy and ecology. Based on the integrated protection systematic perspective, namely “life community of mountain, water, forestland, cultivated land, lake, and grassland”, this study explored ways to optimize the spatial layout of cultivated land. Comprehensive Ecological Niche Suitability of Cultivated Land was quantitatively analyzed utilizing a comprehensive ecological niche suitability evaluation model and GIS analytic methodologies. The contribution rates of various natural elements to cultivated land from 2000 to 2020 were determined by the path analysis, and the land-conversion rules for the ecological optimization scenario were developed accordingly. The GeoSOS-FLUS model was used to simulate land use in 2040 under two scenarios: natural and ecological optimization. Results found that the study area showed varied patterns and can be classified into five grades: extreme-suitability, high-suitability, moderate-suitability, low-suitability, and unsuitability zones, based on the Comprehensive Ecological Niche Suitability of Cultivated Land. The evolution of orchard land in the extreme-suitability and high -suitability zone and forestland in the unsuitability zone contributed the most to the area and quality change of cultivated land from 2000 to 2020. Compared with the results of the natural scenario, the simulation results of the ecological optimization scenario in 2040 increased the area of cultivated land, improved the ecological niche suitability, and the coordination between cultivated land and other natural elements.

Suggested Citation

  • Qian Sun & Mingjie Wu & Peiyu Du & Wei Qi & Xinyang Yu, 2022. "Spatial Layout Optimization and Simulation of Cultivated Land Based on the Life Community Theory in a Mountainous and Hilly Area of China," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:7:p:3821-:d:778306
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    References listed on IDEAS

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    1. Nan Wang & Jian Zu & Mu Li & Jinyi Zhang & Jinmin Hao, 2020. "Spatial Zoning of Cultivated Land in Shandong Province Based on the Trinity of Quantity, Quality and Ecology," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
    2. Liu, Jing & Jin, Xiaobin & Xu, Weiyi & Sun, Rui & Han, Bo & Yang, Xuhong & Gu, Zhengming & Xu, Cuilan & Sui, Xueyan & Zhou, Yinkang, 2019. "Influential factors and classification of cultivated land fragmentation, and implications for future land consolidation: A case study of Jiangsu Province in eastern China," Land Use Policy, Elsevier, vol. 88(C).
    3. Liejia Huang & Yue Feng & Boqing Zhang & Weiyan Hu, 2021. "Spatio-Temporal Characteristics and Obstacle Factors of Cultivated Land Resources Security," Sustainability, MDPI, vol. 13(15), pages 1-19, July.
    4. Jonathan A. Foley & Navin Ramankutty & Kate A. Brauman & Emily S. Cassidy & James S. Gerber & Matt Johnston & Nathaniel D. Mueller & Christine O’Connell & Deepak K. Ray & Paul C. West & Christian Balz, 2011. "Solutions for a cultivated planet," Nature, Nature, vol. 478(7369), pages 337-342, October.
    5. 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.
    6. Jie Lian & Xueyong Zhao & Xin Li & Tonghui Zhang & Shaokun Wang & Yongqing Luo & Yangchun Zhu & Jing Feng, 2017. "Detecting Sustainability of Desertification Reversion: Vegetation Trend Analysis in Part of the Agro-Pastoral Transitional Zone in Inner Mongolia, China," Sustainability, MDPI, vol. 9(2), pages 1-15, February.
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    1. Mingyan Ni & Yindi Zhao & Caihong Ma & Xiaolin Hou & Yanmei Xie, 2023. "Exploring Relationships between Spatial Pattern Change in Steel Plants and Land Cover Change in Tangshan City," Sustainability, MDPI, vol. 15(12), pages 1-24, June.
    2. Yichen Zhang & Chuntao Li & Lang Zhang & Jinao Liu & Ruonan Li, 2022. "Spatial Simulation of Land-Use Development of Feixi County, China, Based on Optimized Productive–Living–Ecological Functions," Sustainability, MDPI, vol. 14(10), pages 1-33, May.
    3. Xinhai Lu & Jiao Hou & Yifeng Tang & Ting Wang & Tianyi Li & Xupeng Zhang, 2022. "Evaluating the Impact of the Highway Infrastructure Construction and the Threshold Effect on Cultivated Land Use Efficiency: Evidence from Chinese Provincial Panel Data," Land, MDPI, vol. 11(7), pages 1-20, July.
    4. Dongbing Li & Yao Chang & Zibibula Simayi & Shengtian Yang, 2022. "Multi-Scenario Dynamic Simulation of Urban Agglomeration Development on the Northern Slope of the Tianshan Mountains in Xinjiang, China, with the Goal of High-Quality Urban Construction," Sustainability, MDPI, vol. 14(11), pages 1-19, June.

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