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Spatiotemporal Distribution and Driving Mechanisms of Cropland Long-Term Stability in China from 1990 to 2018

Author

Listed:
  • Yuchen Zhong

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China
    These authors contributed equally to this work.)

  • Jun Sun

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China
    These authors contributed equally to this work.)

  • Qi Wang

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China)

  • Dinghua Ou

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China
    Key Laboratory of Investigation and Monitoring, Protection and Utilization for Cultivated Land Resources, Ministry of Natural Resources, Chengdu 611130, China)

  • Zhaonan Tian

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China)

  • Wuhaomiao Yu

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China)

  • Peixin Li

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China)

  • Xuesong Gao

    (College of Resources, Sichuan Agricultural University, Chengdu 611130, China
    Key Laboratory of Investigation and Monitoring, Protection and Utilization for Cultivated Land Resources, Ministry of Natural Resources, Chengdu 611130, China)

Abstract

Long-term stability is crucial in cropland for maintaining stable agricultural production and ensuring national food security. However, relatively few studies have been conducted on the long-term stability of cropland at the national level. This study assessed the long-term stability of cropland in China from 1990 to 2018 using a fine-resolution land use dataset. The experimental results indicated that the average area of unstable cropland in China from 1990 to 2018 amounted to 2.08 × 10 6 km 2 , 47.31% of the total. The Qinghai–Tibet Plateau exhibited the highest average proportion of unstable cropland at 65.9%, followed by the northern arid and semiarid region, Southern China, and the Yunnan–Guizhou Plateau. The quantity of unstable cropland in China initially declined before increasing, reaching a final growth rate of 5.09%. Furthermore, this study explored the relevant driving factors of cropland’s long-term stability from both natural factors and human activities based on artificial neural networks. The relative importance of distance to vegetation reached a value of 0.30, indicating that it had the most significant influence on the long-term stability of cropland, followed by relief amplitude and soil type. This phenomenon may be attributed to the inadequate execution of the Grain for Green Policy and the requisition–compensation balance of cropland policy, along with the depletion of young and middle-aged laborers due to urban migration from rural areas. Local governments should focus on addressing the unsustainable exploitation of sloped land in rural mountainous or hilly regions while preventing urban developers from appropriating fertile cropland to compensate for less fertile areas.

Suggested Citation

  • Yuchen Zhong & Jun Sun & Qi Wang & Dinghua Ou & Zhaonan Tian & Wuhaomiao Yu & Peixin Li & Xuesong Gao, 2024. "Spatiotemporal Distribution and Driving Mechanisms of Cropland Long-Term Stability in China from 1990 to 2018," Land, MDPI, vol. 13(7), pages 1-17, July.
  • Handle: RePEc:gam:jlands:v:13:y:2024:i:7:p:1016-:d:1430875
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    References listed on IDEAS

    as
    1. Vesterby, Marlow & Heimlich, Ralph E. & Krupa, Kenneth S., 1994. "Urbanization of Rural Land in the United States," Agricultural Economic Reports 308271, United States Department of Agriculture, Economic Research Service.
    2. Shilong Piao & Philippe Ciais & Yao Huang & Zehao Shen & Shushi Peng & Junsheng Li & Liping Zhou & Hongyan Liu & Yuecun Ma & Yihui Ding & Pierre Friedlingstein & Chunzhen Liu & Kun Tan & Yongqiang Yu , 2010. "The impacts of climate change on water resources and agriculture in China," Nature, Nature, vol. 467(7311), pages 43-51, September.
    3. Mehrabi, Zia & Delzeit, Ruth & Ignaciuk, Adriana & Levers, Christian & Braich, Ginni & Bajaj, Kushank & Amo-Aidoo, Araba & Anderson, Weston & Balgah, Roland A. & Benton, Tim G. & Chari, Martin M. & El, 2022. "Research priorities for global food security under extreme events," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 5(7), pages 756-766.
    4. Yanqun Ren & Jinping Liu & Patrick Willems & Tie Liu & Quoc Bao Pham, 2023. "Detection and Assessment of Changing Drought Events in China in the Context of Climate Change Based on the Intensity–Area–Duration Algorithm," Land, MDPI, vol. 12(10), pages 1-18, September.
    5. Xiaoxiao Li & Jing Ma & Yongjun Yang & Huping Hou & Gang-Jun Liu & Fu Chen, 2019. "Short-Term Response of Soil Microbial Community to Field Conversion from Dryland to Paddy under the Land Consolidation Process in North China," Agriculture, MDPI, vol. 9(10), pages 1-17, October.
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