Skip to main content
SpringerLink
Log in

Gradient analysis of landscape spatial and temporal pattern changes in Beijing metropolitan area

  • Published:
Science China Technological Sciences Aims and scope Submit manuscript

Abstract

The gradient based landscape metrics analysis is now widely used to study the landscape pattern changes in respond to the urbanization. In order to discover the trend of spatio-temporal changes in Beijing metropolitan area during the past 15 years, several landscape metrics are computed using a moving window along a 96 km long transect across Beijing metropolitan area from west to east. Specially, the spatial extent of sub-landscape, which is determined by the moving window’s size, is profoundly examined. The results show that the metrics varies smoothly and regularly along the selected transect when the window size is greater than 6 km×6 km, and irregularly fluctuated for the smaller window size, that the spatial and temporal landscape characteristics of Beijing city match the hypothetical framework of spatio-temporal urban sprawl in the form of alternating processes of diffusion and coalescence well, and that some new trends of the urban sprawl style in Beijing metropolitan area, such as leap-frog manner, are also detected by the gradient landscape analysis.

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

Similar content being viewed by others

References

  1. Redman C L. Human dimensions of ecosystem studies. Ecosyst, 1999, 2: 296–298

    Article  Google Scholar 

  2. Bastian O. Landscape classification in Saxony (Germany) a tool for holistic regional planning. Landscape Urban Plan, 2000, 50: 145–155

    Article  Google Scholar 

  3. Zhou Q, Li B, Kurhan A. Spatial pattern analysis of land cover change trajectories in Tarim Basin, northwest China. Int J Remote Sens, 2008, 29: 5495–5509

    Article  Google Scholar 

  4. Forman R T, Godron M. Landscape Ecology. New York: Wiley, 1986

    Google Scholar 

  5. McDonnell M J, Pickett S T A. Ecosystem structure and function along urban-rural gradients: An unexploited opportunity for ecology. Ecology, 1990, 71: 1232–1237

    Article  Google Scholar 

  6. Zhou Q, Li B, Kurban A. Trajectory analysis of land cover change in arid environment of China. Int J Remote Sens, 2008, 29: 1093–1107

    Article  Google Scholar 

  7. Weng Y C. Spatiotemporal changes of landscape pattern in response to urbanization. Landscape Urban Plan, 2007, 81: 341–353

    Article  Google Scholar 

  8. Dietzel C, Herold M, Hemphill J J, et al. Spatio-temporal dynamics in California’s Central Valley: Empirical links to urban theory. Int J Geogr Inf Sci, 2005, 19: 175–195

    Article  Google Scholar 

  9. Herold M, Goldstein N C, Clarke K C. The spatiotemporal form of urban growth: Measurement, analysis and modeling. Remote Sens Environ, 2003, 86: 286–302

    Article  Google Scholar 

  10. Herold M, Scepan J, Clarke K C. The use of remote sensing and landscape-metrics to describe structures and changes in urban land uses. Environ Plann A, 2002, 34: 1443–1458

    Article  Google Scholar 

  11. Wei J, Jia M, Rima W T, et al. Characterizing urban sprawl using multi-stage remote sensing images and landscape metrics. Comput Environ Urban, 2006, 30: 861–879

    Article  Google Scholar 

  12. Luck M, Wu J. A gradient analysis of urban landscape pattern: A case study from the Phoenix metropolitan region, Arizona, USA. Landscape Ecol, 2002, 17: 327–339

    Article  Google Scholar 

  13. Hahs A K, McDonnell M J. Selecting independent measures to quantify Melbourne’s urban-rural gradient. Landscape Urban Plan, 2006, 78: 435–448

    Article  Google Scholar 

  14. Yu X J, Ng C N. Spatial and temporal dynamics of urban sprawl along two urban-rural transects: A case study of Guangzhou, China. Landscape Urban Plan, 2007, 79: 96–109

    Article  Google Scholar 

  15. Kong F H, Nobukazu N. Spatial-temporal gradient analysis of urban green spaces in Jinan, China. Landscape Urban Plan, 2006, 78: 341–353

    Google Scholar 

  16. Chen S P, Zeng S, Xie C G. Remote sensing and GIS for urban growth analysis in China. Photogramm Eng Rem S, 2000, 66: 593–598

    Google Scholar 

  17. He C Y, Okada N, Zhang Q F, et al. Modeling urban expansion scenarios by coupling cellular automata model and system dynamic model in Beijing, China. Appl Geogr, 2006, 26: 323–345

    Article  Google Scholar 

  18. Xie Y C, Fang C L, Lin G C, et al. Tempo-spatial patterns of land use changes and urban development in globalizing China: A study of Beijing. Sensors, 2007, 7: 2881–2906

    Article  Google Scholar 

  19. Woodcock C E, Allen A A. Free access to Landsat imagery. Science, 2008, 320: 1011

    Article  Google Scholar 

  20. Zhou Q, Li B, Zhou C. Studying spatial-temporal patterns of landuse change in arid environment of China. In: Li Z, Zhou Q, Kainz W, eds. Advances in Spatial Analysis and Decision Making. Lisse: Swets & Zeitlinger, 2004. 189–200

    Google Scholar 

  21. Li B, Zhou Q. Accuracy assessment on multi-temporal land-cover change detection using a trajectory error matrix. Int J Remote Sens, 2009, 30: 1283–1296

    Article  Google Scholar 

  22. Liu H, Zhou Q. Accuracy analysis of remote sensing change detection by rule-based rationality evaluation with post-classification comparison. Int J Remote Sens, 2004, 25: 1037–1050

    Article  MathSciNet  Google Scholar 

  23. McGarigal K, Cushman S A, Neel M C, et al. User Manual for FRAGSTATS: Spatial Pattern Analysis Programme for Categorical Maps, 2002

  24. Turner M G. Landscape ecology: The effect of pattern on process. Annu Rev Ecol Syst, 1989, 20: 171–197

    Article  Google Scholar 

  25. Wiens J A. Spatial scaling in ecology. Funct Ecol, 1989, 3: 385–397

    Article  Google Scholar 

  26. Benson B J, MacKenzie M D. Effects of sensor spatial resolution on landscape structure parameters. Landscape Ecol, 1995, 10: 113–120

    Article  Google Scholar 

  27. Frohn R C, Hao Y. Landscape metric performance in analyzing two decades of deforestation in the Amazon Basin of Rondonia, Brazil. Remote Sens Environ, 2006, 100: 237–251

    Article  Google Scholar 

  28. Frohn R C, McGwire K C, Dale V H, et al. Using satellite remote sensing analysis to evaluate a socio-economic and ecological model of deforestation in Rondonia, Brazil. Int J Remote Sens, 1996, 17: 3233–3255

    Article  Google Scholar 

  29. Garcia-Gigorro S, Saura S. Forest fragmentation estimated from remotely sensed data: Is comparison across scales possible? Forest Sci, 2005, 51: 51–63

    Google Scholar 

  30. Hlavka C A, Livingston G P. Statistical models of fragmented land cover and the effect of coarse spatial resolution on the estimation of area with satellite sensor imagery. Int J Remote Sens, 1997, 18: 2253–2259

    Article  Google Scholar 

  31. Saura S, Carballal P. Discrimination of native and exotic forest patterns through shape irregularity indices: An analysis in the landscapes of Galicia, Spain. Landscape Ecol, 2004, 19: 647–662

    Article  Google Scholar 

  32. Wu J. Effects of changing scale on landscape pattern analysis: Scaling relations. Landscape Ecol, 2004, 19: 125–138

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan, 430074, China

    YeTao Yang

  2. Department of Geography, Hong Kong Baptist University, Hong Kong, China

    QiMing Zhou

  3. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430074, China

    JianYa Gong

  4. Hubei Provincial Bureau of Meteorology, Wuhan, 430074, China

    YingYing Wang

Authors
  1. YeTao Yang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. QiMing Zhou
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. JianYa Gong
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. YingYing Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to YeTao Yang.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Yang, Y., Zhou, Q., Gong, J. et al. Gradient analysis of landscape spatial and temporal pattern changes in Beijing metropolitan area. Sci. China Technol. Sci. 53 (Suppl 1), 91–98 (2010). https://doi.org/10.1007/s11431-010-3206-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11431-010-3206-2

Keywords

Search

Navigation