Advertisement

Modelling and Mapping Urban Soils

  • J. J. StoorvogelEmail author
  • I. van Manen
  • V. I. Vasenev
Conference paper
Part of the Springer Geography book series (SPRINGERGEOGR)

Abstract

Urbanization is an important trend in global land cover change and seriously impacts the soil resources. However, there is no clear definition for urban areas. As a result estimates of urbanization and its effects on soil resources vary widely. Urbanization can be modelled in different ways with a specific focus on environmental conditions, temporal dynamics and spatial patterns. The processes underlying urbanization require a hybrid approach that combines the different methods. Similarly, the unique conditions of the urban environment require specific surveying techniques for the soil resources. The global debate on urbanization and its environmental impacts calls for a rapid standardization of definitions and methodologies to come with proper information on rates and impacts.

Keywords

Soil survey Land cover modelling Soil classification 

Notes

Acknowledgements

The publication was prepared with the support of the “RUDN University program 5-100”. The project was partly supported by RFBR projects Nos 15-34-70003, 15-54-53117 and 16-34-00398 and Russian Science Foundation project No 14-27-00133.

References

  1. 1.
    Bontemps, S., Defourny, P., van Bogaert, E.: GLOBCOVER 2009, Products description and validation report. ESA and Université Catholique de Louvain, 53 p. (2010). doi: 10.1594/PANGAEA.787668
  2. 2.
    CIESIN: Gridded Population of the World, Version 4 (GPWv4): Population Count (2016). http://sedac.ciesin.columbia.edu/data/set/gpw-v4-population-count. Accessed 22 Sep 2016
  3. 3.
    CIESIN, Columbia University, IFPRI, The World Bank, CIAT: Global Rural-Urban Mapping Project, Version 1: Urban Extents Grids. SEDAC, Columbia University (2011)Google Scholar
  4. 4.
    Elvidge, C.D., Tuttle, B.T., Sutton, P.C., Baugh, K.E., Howard, A.T., Milesi, C., Nemani, R.: Global distribution and density of constructed impervious surfaces. Sensors 7(9), 1962–1979 (2007)CrossRefGoogle Scholar
  5. 5.
    Fuglsang, M., Münier, B., Hansen, H.S.: Modelling land-use effects of future urbanization using cellular automata: an Eastern Danish case. Environ. Model Softw. 50, 1–11 (2013)CrossRefGoogle Scholar
  6. 6.
    IUSS Working Group WRB: World Reference Base for Soil Resources 2014, update 2015. International soil classification system for naming soils and creating legends for soil maps. World Soil Resources Reports No. 106. FAO, Rome (2015)Google Scholar
  7. 7.
    McBratney, A.B., Mendonca Santos, M.L., Minasny, B.: On digital soil mapping. Geoderma 117, 3–52 (2003). doi: 10.1016/S0016-7061(03)00223-4 CrossRefGoogle Scholar
  8. 8.
    McIntyre, N.E., Knowles-Yánez, K., Hope, D: Urban ecology as an interdisciplinary field: differences in the use of urban between the social and natural sciences. Urban Ecosyst. 4(1), 5–24 (2000)CrossRefGoogle Scholar
  9. 9.
    Muller, M., Middleton, J.: A Markov model of land-use change dynamics in the Niagara region, Ontario. Can. Landscape Ecol. 9, 151–157 (1994)Google Scholar
  10. 10.
    Short Gianotti, A.G., Getson, J.M., Hutyra, L.R., Kittredge, D.B.: Defining urban, suburban, and rural: a method to link perceptual definitions with geospatial measures of urbanization in central and eastern Massachusetts. Urban Ecosyst. 19, 823–833 (2016)CrossRefGoogle Scholar
  11. 11.
    Soil Survey Division Staff: Soil survey manual. Soil Conservation Service.U.S. Department of Agriculture Handbook 18. Washington DC. 315 p. (1993)Google Scholar
  12. 12.
    Soil Survey Staff: Keys to Soil Taxonomy, 12th ed. USDA-Natural Resources Conservation Service, Washington, DC. 372 p. (2014)Google Scholar
  13. 13.
    Stoorvogel, J.J., Bakkenes, M., Temme, A.J.A.M., Batjes, N.H., ten Brink, B.J.E.: S-world: a global soil map for environmental modelling. Land Degrad. Dev. 28, 22–33 (2017)CrossRefGoogle Scholar
  14. 14.
    Vasenev, V.I., Stoorvogel, J.J., Vasenev, I.I., Valentini, R.: How to map soil organic stocks in highly urbanized region? Geoderma 226–227, 103–115 (2014)CrossRefGoogle Scholar
  15. 15.
    Verburg, P.H., Overmars, K.P.: Combining top-down and bottom-up dynamics in land use modeling: exploring the future of abandoned farmlands in Europe with the Dyna-CLUE model. Landscape Ecol. 24, 1167 (2009)CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • J. J. Stoorvogel
    • 1
    Email author
  • I. van Manen
    • 1
  • V. I. Vasenev
    • 1
    • 2
  1. 1.Soil Geography and Landscape GroupWageningen UniversityWageningenThe Netherlands
  2. 2.Agrarian-Technological InstitutePeoples’ Friendship University of RussiaMoscowRussia

Personalised recommendations