Advertisement

Spatial Structure Change Analysis of Cultivated Soil Nutrients in Urban Fringe of North China

  • Shiwei Dong
  • Yuchun PanEmail author
  • Bingbo Gao
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 545)

Abstract

Spatial structure analysis is beneficial to guide soil nutrients management. This paper developed a method for spatial structure of soil nutrients and analyzed these change characteristics from 2000 to 2007 using geographic information system (GIS) technology for Daxing district of Beijing, China. The results of spatial structure were obtained and occupied space proportions of total kjeldahl nitrogen (TN), alkali-hydrolyzable nitrogen (AN), organic matter (OM), available phosphorus (AP) and available potassium (AK) were 0.33, 0.22, 0.25, 0.03, 0.16 for 2000 and 0.32, 0.25, 0.23, 0.03, 0.17 for 2007, respectively. The change characteristics and influence factors for spatial structure of soil nutrients were systematically analyzed. Increased soil nutrients were exhibited three belts on the whole, whereas decreased soil nutrients were located in other regions. Natural factors and human activities drove these changes of soil nutrients. This study provides a reference for future related research.

Keywords

Soil nutrients Spatial structure Principal component analysis Geographic information system Urban fringe 

Notes

Acknowledgments

This study is supported by the National Key Research and Development Program of China (No. 2016YFD0800904), the Youth Fund of the Beijing Academy of Agriculture and Forestry Sciences (No. QNJJ201830) and the Beijing Excellent Talent Support Program (No. 2015000020060G136). We are very grateful to Prof. Danfeng Sun and Hong Li for their soil data.

References

  1. 1.
    Jin, J.W., Xu, Y.F., Ye, H.C., Shen, C.Y., Huang, Y.F.: Effect of land use and soil management practices on soil fertility quality in North China cities urban fringe. Afr. J. Agricu. Res. 6, 2059–2065 (2011)Google Scholar
  2. 2.
    Liu, Y., Wen, C., Liu, X.: China’s food security soiled by contamination. Science 339, 1382–1383 (2013)CrossRefGoogle Scholar
  3. 3.
    Goovaerts, P.: Geostatistics in soil science: state-of-the-art and perspectives. Geoderma 89, 1–45 (1999)CrossRefGoogle Scholar
  4. 4.
    Lark, R.: Optimized spatial sampling of soil for estimation of the variogram by maximum likelihood. Geoderma 105, 49–80 (2002)CrossRefGoogle Scholar
  5. 5.
    Jing, Q., Xiangbin, K., Fengrong, Z., Yuxin, M., Lingwei, L.: Change of soil organic matter as affected by household land use based on 3S technology in urban fringes of North China. New Zeal. J. Agric. Res. 50, 1093–1102 (2010)CrossRefGoogle Scholar
  6. 6.
    Darilek, J.L., et al.: Changes in soil fertility parameters and the environmental effects in a rapidly developing region of China. Agric. Ecosyst. Environ. 129, 286–292 (2009)CrossRefGoogle Scholar
  7. 7.
    Sun, B., Zhou, S., Zhao, Q.: Evaluation of spatial and temporal changes of soil quality based on geostatistical analysis in the hill region of subtropical China. Geoderma 115, 85–99 (2003)CrossRefGoogle Scholar
  8. 8.
    Teng, Y., Wu, J., Lu, S., Wang, Y., Jiao, X., Song, L.: Soil and soil environmental quality monitoring in China: a review. Environ. Int. 69, 177–199 (2014)CrossRefGoogle Scholar
  9. 9.
    Jin, J.W., Ye, H., Xu, Y., Shen, C.Y., Huang, Y.: Spatial and temporal patterns of soil fertility quality and analysis of related factors in urban-rural transition zone of Beijing. Afr. J. Biotechnol. 10, 10948–10956 (2011)CrossRefGoogle Scholar
  10. 10.
    Pearson, K.: Principal components analysis. Lond. Edinb. Dublin Philos. Mag. J. 6, 566 (1901)Google Scholar
  11. 11.
    Fox, G.A., Metla, R.: Soil property analysis using principal components analysis, soil line, and regression models. Soil Sci. Soc. Am. J. 69, 1782–1788 (2005)CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  1. 1.Beijing Research Center for Information Technology in AgricultureBeijing Academy of Agriculture and Forestry SciencesBeijingChina

Personalised recommendations