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Assessment of Soil Erosion at Multiple Spatial Scales Following Land Use Changes in 1980–2017 in the Black Soil Region, (NE) China

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  • Haiyan Fang

    (Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Zemeng Fan

    (Key Laboratory of Water Cycle and Related Land Surface Processes, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    State Key Laboratory of Resources and Environmental Information System, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

Impact of land use and land cover change on soil erosion is still imperfectly understood, especially in northeastern China where severe soil erosion has occurred since the 1950s. It is important to identify temporal changes of soil erosion for the black soil region at different spatial scales. In the present study, potential soil erosion in northeastern China was estimated based on the Revised Universal Loss Equation by integrating satellite images, and the variability of soil erosion at different spatial scales following land use changes in 1980, 1990, 2000, 2010, and 2017 was analyzed. The regionally spatial patterns of soil loss coincided with the topography, rainfall erosivity, soil erodibility, and use patterns, and around 45% of soil loss came from arable land. Regionally, soil erosion rates increased from 1980 to 2010 and decreased from 2010 to 2017, ranging from 3.91 to 4.45 Mg ha −1 yr −1 with an average of 4.22 Mg ha −1 yr −1 in 1980–2017. Areas with a rate of soil erosion less than 1.41 Mg ha −1 yr −1 decreased from 1980 to 2010 and increased from 2010 to 2017, and the opposite changing patterns occurred in higher erosion classes. Arable land continuously increased at the expense of forest in the high-elevation and steep-slope areas from 1980 to 2010, and decreased from 2010 to 2017, resulting in increased areas with erosion rates higher than 7.05 Mg ha −1 yr −1 . At a provincial scale, Liaoning Province experienced the highest soil erosion rate of 9.43 Mg ha −1 yr −1 , followed by Jilin Province, the eastern Inner Mongolia Autonomous Region, and Heilongjiang Province. At a county scale, around 75% of the counties had a soil erosion rate higher than the tolerance level. The county numbers with higher erosion rate increased in 1980–2010 and decreased in 2010–2017, resulting from the sprawl and withdrawal of arable land.

Suggested Citation

  • Haiyan Fang & Zemeng Fan, 2020. "Assessment of Soil Erosion at Multiple Spatial Scales Following Land Use Changes in 1980–2017 in the Black Soil Region, (NE) China," IJERPH, MDPI, vol. 17(20), pages 1-19, October.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:20:p:7378-:d:425723
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    References listed on IDEAS

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    1. Devátý, Jan & Dostál, Tomáš & Hösl, Rosemarie & Krása, Josef & Strauss, Peter, 2019. "Effects of historical land use and land pattern changes on soil erosion – Case studies from Lower Austria and Central Bohemia," Land Use Policy, Elsevier, vol. 82(C), pages 674-685.
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    Cited by:

    1. Qian Zuo & Yong Zhou & Jingyi Liu, 2022. "Construction and Optimization Strategy of an Ecological Network in Mountainous Areas: A Case Study in Southwestern Hubei Province, China," IJERPH, MDPI, vol. 19(15), pages 1-27, August.
    2. Zhijia Gu & Shaomin Cao & Ao Li & Qiang Yi & Shuang Li & Panying Li, 2023. "Comparison of Sampling and Grid Methods for Regional Soil Erosion Assessment," Land, MDPI, vol. 12(9), pages 1-17, August.
    3. Haiyan Fang, 2021. "Changes in Cultivated Land Area and Associated Soil and SOC Losses in Northeastern China: The Role of Land Use Policies," IJERPH, MDPI, vol. 18(21), pages 1-13, October.
    4. Nan Jiang & Fojun Yao & Tao Liu & Zhuo Chen & Chen Hu & Xinxia Geng, 2023. "Estimating the Soil Erosion Response to Land-Use Change Using GIS-Based RUSLE and Remote Sensing: A Case Study of Heilongjiang Province, China," Sustainability, MDPI, vol. 15(10), pages 1-19, May.

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