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Spatial Distribution of Global Cultivated Land and Its Variation between 2000 and 2010, from Both Agro-Ecological and Geopolitical Perspectives

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  • Min Cao

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    State Key Laboratory Cultivation Base of Geographical Environment Evolution, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China)

  • Yanhui Zhu

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    State Key Laboratory Cultivation Base of Geographical Environment Evolution, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China)

  • Guonian Lü

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    State Key Laboratory Cultivation Base of Geographical Environment Evolution, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China)

  • Min Chen

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    State Key Laboratory Cultivation Base of Geographical Environment Evolution, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China)

  • Weifeng Qiao

    (School of Geography, Nanjing Normal University, Nanjing 210023, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China)

Abstract

Food security requires a thorough understanding of the spatial characteristics of cultivated land changes on a global scale. In particular, the spatial heterogeneity of global cultivated land changes needs to be evaluated with high spatial resolution data. This study aims to analyse the spatial distribution of global cultivated land and the characteristics of its variation, by using GlobeLand30 data for 2000 and 2010 with a 30-m spatial resolution. The cultivated land percentage and rate of cultivated land use change are calculated based on 18 agro-ecological zones (AEZs), 32 geopolitical and socioeconomic regions, and 283 world regions. The results show that (1) more cultivated land is located in regions under a temperate climate and moderate moisture conditions; (2) the percentage of cultivated land is related to the gross domestic product (GDP) and population, while increases and decreases in cultivated land are related to the rural population, policy encouragement, urbanization, and economic development; and (3) the percentage of cultivated land and rate of land use change within an AEZ vary greatly due to the different socioeconomic conditions, and the values within a geopolitical area also vary, due to different natural conditions.

Suggested Citation

  • Min Cao & Yanhui Zhu & Guonian Lü & Min Chen & Weifeng Qiao, 2019. "Spatial Distribution of Global Cultivated Land and Its Variation between 2000 and 2010, from Both Agro-Ecological and Geopolitical Perspectives," Sustainability, MDPI, vol. 11(5), pages 1-16, February.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:5:p:1242-:d:209297
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    References listed on IDEAS

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    Cited by:

    1. Lin Chu & Chong Huang & Qingsheng Liu & Chongfa Cai & Gaohuan Liu, 2019. "Spatial Heterogeneity of Winter Wheat Yield and Its Determinants in the Yellow River Delta, China," Sustainability, MDPI, vol. 12(1), pages 1-21, December.
    2. Rui Zhao & Kening Wu & Xiaoliang Li & Nan Gao & Mingming Yu, 2021. "Discussion on the Unified Survey and Evaluation of Cultivated Land Quality at County Scale for China’s 3rd National Land Survey: A Case Study of Wen County, Henan Province," Sustainability, MDPI, vol. 13(5), pages 1-26, February.
    3. Chunxiao Zhang & Xinqi Zheng & Jiayang Li & Shuxian Wang & Weiming Xu, 2019. "Research in Meteorological Modeling Oriented Comprehensive Surface Complexity (CSC)," Sustainability, MDPI, vol. 11(15), pages 1-13, July.
    4. Zhiyin Wang & Jiansheng Cao, 2021. "Assessing and Predicting the Impact of Multi-Scenario Land Use Changes on the Ecosystem Service Value: A Case Study in the Upstream of Xiong’an New Area, China," Sustainability, MDPI, vol. 13(2), pages 1-20, January.

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