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Estimates of Dust Emissions and Organic Carbon Losses Induced by Wind Erosion in Farmland Worldwide from 2017 to 2021

Author

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  • Yongxiang Liu

    (Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China
    Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, School of Geographical Sciences, Harbin Normal University, Harbin 150025, China)

  • Hongmei Zhao

    (Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Guangying Zhao

    (Heilongjiang Province Key Laboratory of Geographical Environment Monitoring and Spatial Information Service in Cold Regions, School of Geographical Sciences, Harbin Normal University, Harbin 150025, China)

  • Xinyuan Cao

    (School of Energy and Environment, Shenyang Aerospace University, Shenyang 110136, China)

  • Xuelei Zhang

    (Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

  • Aijun Xiu

    (Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102, China)

Abstract

Wind erosion can cause high dust emissions from agricultural land and can lead to a significant loss of carbon and nutrients from the soil. The carbon balance of farmland soil is an integral part of the carbon cycle, especially under the current drive to develop carbon-neutral practices. However, the amount of global carbon lost due to the wind erosion of farmland is unknown. In this study, global farmland dust emissions were estimated from a dust emission inventory (0.1° × 0.1°, daily) built using the improved Community Multiscale Air Quality Modeling System–FENGSHA (CMAQ-FENGSHA), and global farmland organic carbon losses were estimated by combining this with global soil organic carbon concentration data. The average global annual dust emissions from agricultural land from 2017 to 2021 were 1.75 × 10 9 g/s. Global dust emissions from agricultural land are concentrated in the UK, Ukraine, and Russia in Europe; in southern Canada and the central US in North America; in the area around Buenos Aires, the capital of Argentina, in South America; and in northeast China in Asia. The global average annual organic carbon loss from agricultural land was 2970 Gg for 2017–2021. The spatial distribution of emissions is roughly consistent with that of dust emissions, which are mainly concentrated in the world’s four major black soil regions. These estimates of dust and organic carbon losses from agricultural land are essential references that can inform the global responses to the carbon cycle, dust emissions, and black soil conservation.

Suggested Citation

  • Yongxiang Liu & Hongmei Zhao & Guangying Zhao & Xinyuan Cao & Xuelei Zhang & Aijun Xiu, 2023. "Estimates of Dust Emissions and Organic Carbon Losses Induced by Wind Erosion in Farmland Worldwide from 2017 to 2021," Agriculture, MDPI, vol. 13(4), pages 1-15, March.
    • Handle: RePEc:gam:jagris:v:13:y:2023:i:4:p:781-:d:1109909
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    References listed on IDEAS

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    1. Mugizi, Francisco M.P. & Matsumoto, Tomoya, 2020. "Population pressure and soil quality in Sub-Saharan Africa: Panel evidence from Kenya," Land Use Policy, Elsevier, vol. 94(C).
    2. Christian Otto & Franziska Piontek & Matthias Kalkuhl & Katja Frieler, 2020. "Event-based models to understand the scale of the impact of extremes," Nature Energy, Nature, vol. 5(2), pages 111-114, February.
    3. Weixiao Chen & Huan Meng & Hongquan Song & Hui Zheng, 2022. "Progress in Dust Modelling, Global Dust Budgets, and Soil Organic Carbon Dynamics," Land, MDPI, vol. 11(2), pages 1-19, January.
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    Cited by:

    1. Yongxiang Liu & Hongmei Zhao & Guangying Zhao & Xuelei Zhang & Aijun Xiu, 2024. "Carbon Emission Characteristics of Cropland in Northeast China and Monitoring Means," Agriculture, MDPI, vol. 14(3), pages 1-13, February.

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