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Spatio-Temporal Evolution and Multi-Scenario Simulation of Non-Grain Production on Cultivated Land in Jiangsu Province, China

Author

Listed:
  • Chengge Jiang

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Lingzhi Wang

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Wenhua Guo

    (Technology Innovation Center for Territorial & Spatial Big Data, MNR, Beijing 100830, China
    Information Center of Ministry of Natural Resources, Beijing 100830, China)

  • Huiling Chen

    (Technology Innovation Center for Territorial & Spatial Big Data, MNR, Jiangsu Branch, Nanjing 210017, China
    Information Centre of Land and Resources of Jiangsu Province, Nanjing 210017, China)

  • Anqi Liang

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Mingying Sun

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Xinyao Li

    (College of Earth Sciences, Jilin University, Changchun 130061, China)

  • Hichem Omrani

    (Urban Development and Mobility Department, Luxembourg Institute of Socio-Economic Research, University of Luxembourg, 4366 Esch-sur-Alzette, Luxembourg)

Abstract

Cultivated land plays a crucial role as the basis of grain production, and it is essential to effectively manage the unregulated expansion of non-grain production (NGP) on cultivated land in order to safeguard food security. The study of NGP has garnered significant attention from scholars, but the prediction of NGP trends is relatively uncommon. Therefore, we focused on Jiangsu Province, a significant grain production region in China, as the study area. We extracted data on cultivated land for non-grain production (NGPCL) in 2000, 2005, 2010, 2015, and 2019, and calculated the ratio of non-grain production (NGPR) for each county unit in the province. On this basis, Kernel Density Estimation (KDE) and spatial autocorrelation analysis tools were utilized to uncover the spatio-temporal evolution of NGP in Jiangsu Province. Finally, the Patch-Generating Land Use Simulation (PLUS) model was utilized to predict the trend of NGP in Jiangsu Province in 2038 under the three development scenarios of natural development (NDS), cultivated land protection (CPS), and food security (FSS). After analyzing the results, we came to the following conclusions:(1) During the period of 2000–2019, the NGPCL area and NGPR in Jiangsu Province exhibited a general decreasing trend. (2) The level of NGP displayed a spatial distribution pattern of being “higher in the south and central and lower in the north”. (3) The results of multi-scenario simulation show that under the NDS, the area of NGPCL and cultivated land for grain production (GPCL) decreases significantly; under the CPS, the decrease in NGPCL and GPCL is smaller than that of the NDS. Under the FSS, NGPCL decreases, while GPCL increases. These results can provide reference for the implementation of land use planning, the delineation of the cultivated land protection bottom line, and the implementation of thee cultivated land use control system in the study area.

Suggested Citation

  • Chengge Jiang & Lingzhi Wang & Wenhua Guo & Huiling Chen & Anqi Liang & Mingying Sun & Xinyao Li & Hichem Omrani, 2024. "Spatio-Temporal Evolution and Multi-Scenario Simulation of Non-Grain Production on Cultivated Land in Jiangsu Province, China," Land, MDPI, vol. 13(5), pages 1-21, May.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:5:p:670-:d:1393299
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    References listed on IDEAS

    as
    1. Yuanyuan Chen & Mu Li & Zemin Zhang, 2023. "Does the Rural Land Transfer Promote the Non-Grain Production of Cultivated Land in China?," Land, MDPI, vol. 12(3), pages 1-16, March.
    2. 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.
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