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Coincidence Analysis of the Cropland Distribution of Multi-Sets of Global Land Cover Products

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  • Chengpeng Zhang

    (Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Yu Ye

    (Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    Key Laboratory of Environment Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China)

  • Xiuqi Fang

    (Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Hansunbai Li

    (Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Xue Zheng

    (Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

Abstract

Modern global cropland products have been widely used to assess the impact of land use and cover change (LUCC) on carbon budgets, climate change, terrestrial ecosystems, etc. However, each product has its own uncertainty, and inconsistencies exist among different products. Understanding the reliability of these datasets is essential for knowing the uncertainties that exist in the study of global change impact forced by cropland reclamation. In this paper, we propose a set of coincidence assessments to identify where reliable cropland distribution is by overlaying ten widely used global land cover/cropland datasets around 2000 AD. A quantitative assessment for different spatial units is also performed. We further discuss the spatial distribution characteristics of different coincidence degrees and explain the reasons. The results show that the high-coincidence proportion is only 40.5% around the world, and the moderate-coincidence and low-coincidence proportion is 18.4% and 41.1%, respectively. The coincidence degrees among different continents and countries have large discrepancies. The coincidence is relatively higher in Europe, South Asia and North America, while it is very poor in Latin America and Africa. The spatial distribution of high and moderate coincidence roughly corresponds to the regions with suitable agricultural conditions and intensive reclamation. In addition to the random factors such as the product’s quality and the year it represented, the low coincidence is mainly caused by the inconsistent land cover classification systems and the recognition capability of cropland pixels with low fractions in different products.

Suggested Citation

  • Chengpeng Zhang & Yu Ye & Xiuqi Fang & Hansunbai Li & Xue Zheng, 2020. "Coincidence Analysis of the Cropland Distribution of Multi-Sets of Global Land Cover Products," IJERPH, MDPI, vol. 17(3), pages 1-17, January.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:707-:d:311985
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    References listed on IDEAS

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    1. Lanz, Bruno & Dietz, Simon & Swanson, Tim, 2018. "The Expansion of Modern Agriculture and Global Biodiversity Decline: An Integrated Assessment," Ecological Economics, Elsevier, vol. 144(C), pages 260-277.
    2. Nicolas Gruber & James N. Galloway, 2008. "An Earth-system perspective of the global nitrogen cycle," Nature, Nature, vol. 451(7176), pages 293-296, January.
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