Skip to main content

Advertisement

SpringerLink
Log in

Spatial and temporal variability of soil erosion in the black soil region of Northeast China from 2000 to 2015

  • Published:
Environmental Monitoring and Assessment Aims and scope Submit manuscript

Abstract

The black soil region in Northeast China is an important production base of commodity grain. However, soil erosion is a major threat that has caused a decline in arable land area and productivity and a series of environmental problems in recent years. To understand the current situation of soil erosion and its changes in the whole black soil region, including six treatment regions, we used the spatial-temporal analysis of soil erosion from 2000 to 2015 and the overlay analysis with its drivers; additionally, soil erosion was evaluated qualitatively with the integrated evaluation method, and its change was indicated by the soil erosion change index (SECI). We found that soil erosion that caused soil loss occurred in each treatment region mainly at the light level in 2015. Water erosion, the most widely distributed erosion type, affected the largest area, while most serious erosion at intensive or higher levels stemmed from wind erosion. Although the situation of water erosion was improved in 2015 compared to that in 2000, the overall situation of soil erosion was worse due to the deterioration of wind and freeze-thaw erosion. Grassland, woodland, and cultivated land changes, such as the conversion from grassland to cultivated land, from woodland to sparse woodland and from dry land to paddy land, revealed these changes to a great extent.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

References

  • Alewell, C., Borrelli, P., Meusburger, K., & Panagos, P. (2019). Using the USLE: Chances, challenges and limitations of soil erosion modelling. International Soil and Water Conservation Research, 7(3), 203–225.

    Google Scholar 

  • Bakker, M. M., Govers, G., Doorn, A. V., Quetier, F., Chouvardas, D., & Rounsevell, M. (2008). The response of soil erosion and sediment export to land-use change in four areas of Europe: The importance of landscape pattern. Geomorphology, 98(3), 213–226.

    Google Scholar 

  • Cui, Y. (2006). The encyclopedia of China water conservancy (3rd ed.). Beijing: Water & Power Press (in Chinese).

    Google Scholar 

  • Cui, M., Cai, Q., Zhu, A., & Fan, H. (2007). Soil erosion along a long slope in the gentle hilly areas of black soil region in Northeast China. Journal of Geographical Sciences, 17(3), 375–383 (in Chinese).

    Google Scholar 

  • Diodato, N., Borrelli, P., Fiener, P., Bellocchi, G., & Romano, N. (2017). Discovering historical rainfall erosivity with a parsimonious approach: a case study in Western Germany. Journal of Hydrology, 544, 1–9.

    Google Scholar 

  • Doetterl, S., Oost, K. V., & Six, J. (2012). Towards constraining the magnitude of global agricultural sediment and soil organic carbon fluxes. Earth Surface Processes & Landforms, 37(6), 642–655.

    Google Scholar 

  • Dominati, E., Patterson, M., & Mackay, A. (2010). A framework for classifying and quantifying the natural capital and ecosystem services of soils. Ecological Economics, 69(9), 1858–1868.

    Google Scholar 

  • El Kateb, H., Zhang, H. F., Zhang, P. C., & Mosandl, R. (2013). Soil erosion and surface runoff on different vegetation covers and slope gradients: a field experiment in southern Shaanxi Province, China. Catena, 105(5), 1–10.

    Google Scholar 

  • Fan, H., Cai, Q., & Wang, H. (2004). Condition of soil erosion in Phaeozem region of Northeast China. Journal of Soil and Water Conservation, 18(2), 66–70 (in Chinese).

    Google Scholar 

  • Fan, H., Cai, Q., Chen, G., & Cui, M. (2005). Comparative study of the soil erosion and control in the three major black soil regions in the world. Journal of Natural Resources, 20(3), 387–393 (in Chinese).

    Google Scholar 

  • Fang, H. (2017). Impact of land use change and dam construction on soil erosion and sediment yield in the black soil region, northeastern China: land use change and dam impact sediment delivery in northeastern China. Land Degradation & Development, 28, 1482–1492.

    Google Scholar 

  • Food and Agriculture Organization (FAO) (2017). Voluntary Guidelines for sustainable soil management food and agriculture organization of the united nations. http://www.fao.org/3/a-bl813e.pdf. Accessed 20 May 2019.

  • Jiang, C., Zhang, H., Tang, Z., & Labzovskii, L. (2017). Evaluating the coupling effects of climate variability and vegetation restoration on ecosystems of the loess plateau, China. Land Use Policy, 69, 134–148.

    Google Scholar 

  • Jiao, J., Duan, X. W., Lang, C., & Yang, J. J. (2010). Study on spatial variation of soil erosion in northeastern China. Research of Soil & Water Conservation, 17(3), 1–5.

    Google Scholar 

  • Juergen Böhner, W. S., Conrad, O., Gross, J., & Ringeler, A. (2003). The WEELS model: methods, results and limitations. Catena, 52(3), 289–308.

    Google Scholar 

  • Lal, R. (2004). Soil carbon sequestration impacts on global climate change and food security. Science, 304(5677), 1623–1627.

    CAS  Google Scholar 

  • Larson, W. E., Pierce, F. J., & Dowdy, R. H. (1983). The threat of soil erosion to long-term crop production. Science, 219(4584), 458–465.

    CAS  Google Scholar 

  • Leh, M., Bajwa, S., & Chaubey, I. (2013). Impact of land use change on erosion risk: an integrated remote sensing, geographic information system and modeling methodology. Land Degradation & Development, 24(5), 409–421.

    Google Scholar 

  • Li, Z., & Luo, Z. (2006). On method for evaluating soil erosion severity in county scal——Index of soil erosion severity and its application. Bulletin of Soil & Water Conservation, 26(4), 41–43 (in Chinese).

    Google Scholar 

  • Li, G., Zheng, F., & LU, J., & An, J. (2015). Effects of rainfall and topography on soil erosion processes of black soil hillslope. Transactions of the Chinese Society for Agricultural Machinery, 46(4), 147–154 (in Chinese).

  • Liu, X., & Yan, B. (2009). Soil and water loss and grain security of black soil region in northeast. Soil and Water Conservation in China, (1), 17–19 (in Chinese).

  • Liu, B. Y., Yan, B. X., Shen, B., Wang, Z. Q., & Wei, X. (2008). Current status and comprehensive control strategies of soil erosion for cultivated land in the northeastern black soil area of China. Science of Soil and Water Conservation, 6(1), 1–8 (in Chinese).

    Google Scholar 

  • Liu, X., Burras, C. L., Kravchenko, Y. S., Duran, A., Huffman, T., Morras, H., et al. (2012). Overview of Mollisols in the world: distribution, land use and management. Revue Canadienne De La Science Du Sol, 92(3), 383–402.

    CAS  Google Scholar 

  • Lu, H., & Shao, Y. P. (2001). Toward quantitative prediction of dust storms: an integrated wind erosion modelling system and its applications. Environmental Modelling & Software, 16(3), 233–249.

    Google Scholar 

  • Marticorena, B., & Bergametti, G. (1995). Modeling the atmospheric dust cycle: 1. Design of a soil-derived dust emission scheme. Journal of Geophysical Research: Atmospheres, 100(D8), 16415–16430.

    Google Scholar 

  • Mehri, A., Salmanmahiny, A., Tabrizi, A. R. M., Mirkarimi, S. H., & Sadoddin, A. (2018). Investigation of likely effects of land use planning on reduction of soil erosion rate in river basins: Case study of the Gharesoo River basin. Catena, 167, 116–129.

    Google Scholar 

  • Shao, Y. P., Raupach, M., & Short, D. (1994). Preliminary assessment of wind erosion patterns in the Murray-Darling basin. Australian Journal of Soil & Water Conservation, 47(3), 323–339.

    Google Scholar 

  • Shao, Y. P., Leys, J. F., Mctainsh, G. H., & Tews, K. (2007). Numerical simulation of the October 2002 dust event in Australia. Journal of Geophysical Research Atmospheres, 112(D8).

  • Soil Survey Staff. (1999). Soil taxonomy: a basic system of soil classification for making and interpreting soil surveys (2nd ed.). Washington, DC: United States Department of Agriculture (USDA).

    Google Scholar 

  • Song, Z. X. (2004). A numerical simulation of dust storms in China. Environmental Modelling & Software, 19(2), 141–151.

    Google Scholar 

  • The Ministry of Water Resources of the People's Republic of China (MWR). (2008a). Classification criteria for soil erosion classification. Beijing: The Ministry of Water Resources of the People's Republic of China (in Chinese).

    Google Scholar 

  • The Ministry of Water Resources of the People's Republic of China (MWR). (2008b). Standards for classification and gradation of soil erosion. Beijing: Water and Power Press (in Chinese).

    Google Scholar 

  • The Ministry of Water Resources of the People's Republic of China (MWR). (2012). National soil and water conservation division (trial). Beijing: Ministry of Water Resources (in Chinese).

    Google Scholar 

  • The Ministry of Water Resources of the People's Republic of China (MWR). (2015). National soil and water conservation plan (2015–2030). Beijing: Ministry of Water Resources (in Chinese).

    Google Scholar 

  • Tuan, V. D., Hilger, T., Vien, T. D., & Cadisch, G. (2014). Nitrogen recovery and downslope translocation in maize hillside cropping as affected by soil conservation. Nutrient Cycling in Agroecosystems, 101(1), 1–20.

    Google Scholar 

  • Van Oost, K., Quine, T. A., Govers, G., De Gryze, S., Six, J., Harden, J. W., et al. (2007). The impact of agricultural soil erosion on the global carbon cycle. Science, 318(5850), 626–629.

    Google Scholar 

  • Vincent, S., Aouatif, C., Deschamps, C., Florent, M., Olivier, C., & Yves Le, B. (2015). Land use and climate change effects on soil erosion in a semi-arid mountainous watershed (High Atlas, Morocco). Journal of Arid Environments, 122, 64–75.

  • Wang, N., & Shen, B. (2011). Development of gully erosion in Northeast China and its effects on the national food security. Science of Soil & Water Conservation, 9(5), 7–10 (in Chinese).

    Google Scholar 

  • Wang, B., Zheng, F. L., & Wang, Y. (2012). Adaptability analysis on soil erodibility models in typical thin layer black soil area of Northeast China. Transactions of the Chinese Society of Agricultural Engineering, 28(6), 126–131 (in Chinese).

    Google Scholar 

  • Wang, Y., Song, J. H., Ma, Y., Lv, S. D., Pei, Q., Zhao, L. P., & Zhang, H. J. (2014). Simulation study on runoff characteristics of slope in black soil. Journal of Jilin Agricultural University, (1), 77–81 (in Chinese).

  • Wang, X., Zhao, X., Zhang, Z., Yi, L., Zuo, L., Wen, Q., Liu, F., Xu, J., Hu, S., & Liu, B. (2016). Assessment of soil erosion change and its relationships with land use/cover change in China from the end of the 1980s to 2010. Catena, 137, 256–268.

    Google Scholar 

  • Wen, L., Zheng, F., Shen, H., Bian, F., & Jiang, Y. (2015). Rainfall intensity and inflow rate effects on hillslope soil erosion in the Mollisol region of Northeast China. Natural Hazards, 79(1), 381–395.

    Google Scholar 

  • Wischmeier, W. H., & Smith, D. D. (1978). Predicting rainfall erosion losses—a guide to conservation planning. Agric Handbook, 537.

  • Xi, J., Zhao, X., Wang, X., & Zhang, Z. (2017). Assessing the impact of land use change on soil erosion on the loess plateau of China from the end of the 1980s to 2010. Journal of Soil and Water Conservation, 72(5), 452–462.

    Google Scholar 

  • Yang, D. W., Kanae, S., Oki, T., Koike, T., & Musiake, K. (2003a). Global potential soil erosion with reference to land use and climate changes. Hydrological Prochydrological Processesesses, 17(14), 1–16.

    Google Scholar 

  • Yang, X., Zhang, X., Deng, W., & Fang, H. (2003b). Black soil degradation by rainfall erosion in Jilin, China. Land Degradation & Development, 14(4), 409–420.

    Google Scholar 

  • Yang, W., Zheng, F., Wang, Z., & Han, Y. (2016). Effects of topography on spatial distribution of soil erosion and deposition on hillslope in the typical of black soil region. Acta Pedologica Sinica, 53(3), 572–581.

    Google Scholar 

  • Zhang, X., Xu, J., Lu, X., Deng, Y., & Gao, D. (1992). A study on the soil loss equation in Heilongjiang Province. Bulletin of Soil and Water Conservation, (4), 1–9 (in Chinese).

  • Zhang, S., Wang, W., Li, Y., Bu, K., & Yan, Y. (2008a). Dynamics of hillslope soil erosion in the Sanjiang Plain in the past 50 years. Resources Science, 30(6), 843–849 (in Chinese).

    Google Scholar 

  • Zhang, Z. L., Fan, H. M., Guo, C. J., Wu, M., Li, H. L., & Han, Y. (2008b). Study on the relationship between flow velocity of sloping face and runoff characteristic under the simulated rainfall. Research of Soil and Water Conservation, 15(6), 32–34 (in Chinese).

    Google Scholar 

  • Zhang, S. L., Zhang, X. Y., Liu, X. B., Liu, S., Sui, Y. Y., & Yu, T. Y. (2010). Effect of natural vegetation recovery on soil erosion in typical black soil region Northeast China. Journal of Soil and Water Conservation, 24(1), 73–77.

    Google Scholar 

  • Zhang, Q., Ren, R., & Zhao, L. (2013). Forest spatial distribution and influencing factors in Northeast China. Journal of Northeast Forestry University, 41(2), 25–28 (in Chinese).

    Google Scholar 

  • Zhang, Z., Wang, X., Zhao, X., Liu, B., Yi, L., Zuo, L., Wen, Q., Liu, F., Xu, J., & Hu, S. (2014). A 2010 update of national land use/cover database of China at 1:100000 scale using medium spatial resolution satellite images. Remote Sensing of Environment, 149, 142–154.

    Google Scholar 

  • Zhou, N., Li, C., & Man, X. L. (2014). Analysis of spatial characteristics of soil erosion in Lalin River basin of Heilongjiang Province based on GIS. Research of Soil and Water Conservation, 21(6), 10–15 (in Chinese).

    Google Scholar 

  • Zhuang, Y. H., Du, C., Zhang, L., Du, Y., & Li, S. S. (2015). Research trends and hotspots in soil erosion from 1932 to 2013: a literature review. Scientometrics, 105(2), 743–758.

    Google Scholar 

  • Ziadat, F. M., & Taimeh, A. Y. (2013). Effect of rainfall intensity, slope, land use and antecedent soil moisture on soil erosion in an arid environment. Land Degradation & Development, 24(6), 582–590.

    Google Scholar 

Download references

Funding

This research was funded by the National Key Research and Development Program of China (Grant No. 2017YFC0504201).

Author information

Authors and Affiliations

  1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, 100101, China

    Biwei Wang, Xiaoli Zhao, Xiao Wang, Zengxiang Zhang, Ling Yi & Shunguang Hu

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Biwei Wang

Authors
  1. Biwei Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Xiaoli Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xiao Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zengxiang Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Ling Yi
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Shunguang Hu
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Xiao Wang.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, B., Zhao, X., Wang, X. et al. Spatial and temporal variability of soil erosion in the black soil region of Northeast China from 2000 to 2015. Environ Monit Assess 192, 370 (2020). https://doi.org/10.1007/s10661-020-08298-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10661-020-08298-y

Keywords

Search

Navigation