Skip to main content

Advertisement

Log in

Temporal variation of characteristic scales in urban landscapes: an insight into the evolving internal structures of China’s two largest cities

  • Research Article
  • Published:
Landscape Ecology Aims and scope Submit manuscript

Abstract

Urbanization has induced profound landscape changes. While the spatiotemporal patterns of urban landscapes have been extensively studied, the manner by which the internal structures of already urbanized areas change remains little understood. Characteristic scales are an important measure of landscape structure, and they represent the typical spatial extents of landscape elements in hierarchies. In this study, we quantified temporal variations of the characteristic scales in the central urban landscapes of Beijing and Shanghai over an 18 year period. Using transect data from Landsat images, characteristic scales were identified through wavelet analysis and then classified into several discrete domains using the k-means clustering method. These characteristic scale domains appeared to correspond with the typical extents of the blocks and block clusters in the study areas. Results showed that the number of the characteristic scale domains changed within a small range of 3–5 while the mean values of the characteristic scales within the domains showed substantial temporal variation. Larger characteristic scales were more variable than smaller ones in both cities. Distinguishing relative change rates of building forms, land use and street layout of urban landscapes allowed us to interpret these differences. The street layout of urban landscapes usually reacts slowly to the force of change, acting as the skeleton of the urban landscape. As a result, block sizes can remain relatively stable and corresponding characteristic scales present inheritance features. Land use and building forms are more susceptible to changes. Block clusters with flexible extents could result in significant variation of characteristic scales.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5

Similar content being viewed by others

References

  • Aguiar MR, Sala OE (1999) Patch structure, dynamics and implications for the functioning of arid ecosystems. Trends Ecol Evol 14:273–277

    Article  PubMed  Google Scholar 

  • Barnsley MJ (1999) Digital remote sensing data and their characteristics. In: Longley P, Goodchild M, Maguire DJ, Rhind DW (eds) Geographical information systems: principles, techniques, applications, and management, 2nd edn. Wiley, New York, pp 451–466

    Google Scholar 

  • Batty M, Longley P, Fotheringham S (1989) Urban growth and form: scaling, fractal geometry, and diffusion-limited aggregation. Environ Plan A 21:1447–1472

    Article  Google Scholar 

  • Bradshaw RHW, Spies T (1992) Characterizing canopy gap structure in forests using wavelet analysis. J Ecol 80:205–215

    Article  Google Scholar 

  • Brosofske KD, Chen J, Crow TR, Saunders SC (1999) Vegetation responses to landscape structure at multiple scales across a Northern Wisconsin, USA, pine barrens landscape. Plant Ecol 143:203–218

    Article  Google Scholar 

  • Cakir HI, Khorram S, Nelson SAC (2006) Correspondence analysis for detecting land cover change. Remote Sens Environ 102:306–317

    Article  Google Scholar 

  • Cazelles B, Chavez M, Berteaux D, Ménard F, Vik JO, Jenouvrier S, Stenseth NC (2008) Wavelet analysis of ecological time series. Oecologia 156:287–304

    Article  PubMed  Google Scholar 

  • Conzen M (1960) Alnwick, Northumberland: a study in town-plan analysis. Institute of British Geographers, London

    Google Scholar 

  • D’Odorico P, Caylor K, Okin GS, Scanlon TM (2007) On soil moisture-vegetation feedbacks and their possible effects on the dynamics of dryland ecosystems. J Geophys Res 112:G04010.1–G04010.10

    Google Scholar 

  • Dale MRT, Mah M (1998) The use of wavelets for spatial pattern analysis in ecology. J Veg Sci 9:805–814

    Article  Google Scholar 

  • Delcourt HR, Delcourt PA (1988) Quaternary landscape ecology: relevant scales in space and time. Landscape Ecol 2:23–44

    Article  Google Scholar 

  • Dietzel C, Herold M, Hemphill JJ, Clarke KC (2005) Spatiotemporal dynamics in California’s Central Valley: empirical links to urban theory. Int J Geogr Inf Sci 19:175–195

    Article  Google Scholar 

  • Dong X, Nyren P, Patton B, Nyren A, Richardson J, Maresca T (2008) Wavelets for agriculture and biology: a tutorial with applications and outlook. Bioscience 58:445–453

    Article  Google Scholar 

  • Fialkowski M, Bitner A (2008) Universal rules for fragmentation of land by humans. Landscape Ecol 23:1013–1022

    Article  Google Scholar 

  • Fortin M, Dale MRT (2005) Spatial analysis. Cambridge University Press, Cambridge

    Google Scholar 

  • Gordon AD (1999) Classification. Chapman & Hall/CRC, London

    Google Scholar 

  • Grimm NB, Redman CL (2004) Approaches to the study of urban ecosystems: the case of Central Arizona-Phoenix. Urban Ecosyst 7:199–213

    Article  Google Scholar 

  • Grimm NB, Faeth SH, Golubiewski NE, Redman CL, Wu J, Bai X, Briggs JM (2008) Global change and the ecology of cities. Science 319:756–760

    Article  PubMed  CAS  Google Scholar 

  • Hahs AK, McDonnell MJ (2006) Selecting independent measures to quantify Melbourne’s urban–rural gradient. Landsc Urban Plan 78:435–448

    Article  Google Scholar 

  • Han J, Hayashi Y, Cao X, Imura H (2009) Application of an integrated system dynamics and cellular automata model for urban growth assessment: a case study of Shanghai, China. Landsc Urban Plan 91:133–141

    Article  Google Scholar 

  • Herold M, Scepan J, Clarke KC (2002) The use of remote sensing and landscape metrics to describe structures and changes in urban land uses. Environ Plan A 34:1443–1458

    Article  Google Scholar 

  • Herold M, Goldstein NC, Clarke KC (2003) The spatiotemporal form of urban growth: measurement, analysis and modeling. Remote Sens Environ 86:286–302

    Article  Google Scholar 

  • James PMA, Fleming RA, Fortin M (2010) Identifying significant scale-specific spatial boundaries using wavelets and null models: spruce budworm defoliation in Ontario, Canada as a case study. Landscape Ecol 25:873–887

    Article  Google Scholar 

  • James PMA, Sturtevant BR, Townsend P, Wolter P, Fortin M (2011) Two-dimensional wavelet analysis of spruce budworm host basal area in the Border Lakes landscape. Ecol App 21:2197–2209

    Article  Google Scholar 

  • Jenerette GD, Potere D (2010) Global analysis and simulation of land-use change associated with urbanization. Landscape Ecol 25:657–670

    Article  Google Scholar 

  • Jenerette GD, Wu J, Grimm NB, Hope D (2006) Points, patches, and regions: scaling soil biogeochemical patterns in an urbanized arid ecosystem. Glob Change Biol 12:1532–1544

    Article  Google Scholar 

  • Jenerette GD, Harlan SL, Brazel A, Jones N, Larsen L, Stefanov WL (2007) Regional relationships between surface temperature, vegetation, and human settlement in a rapidly urbanizing ecosystem. Landscape Ecol 22:353–365

    Article  Google Scholar 

  • Keim MJ, Percival DB (2010) Assessing characteristic scales using wavelets. http://arxiv.org/abs/1007.4169. Accessed 9 Nov 2011

  • Keitt TH, Urban DL (2005) Scale-specific inference using wavelets. Ecology 86:2497–2504

    Article  Google Scholar 

  • Li G, Weng Q (2005) Using Landsat ETM + imagery to measure population density in Indianapolis, Indiana, USA. Photogramm Eng Rem Sens 71:947–958

    Google Scholar 

  • Liu X, Li X, Chen Y, Tan Z, Li S, Ai B (2010) A new landscape index for quantifying urban expansion using multi-temporal remotely sensed data. Landscape Ecol 25:671–682

    Article  Google Scholar 

  • Lu D, Weng Q (2004) Spectral mixture analysis of the urban landscape in Indianapolis with Landsat ETM + imagery. Photogramm Eng Rem Sens 70:1053–1062

    Google Scholar 

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

    Article  Google Scholar 

  • Mi X, Ren H, Ouyang Z, Wei W, Ma K (2005) The use of the Mexican hat and the Morlet wavelets for detection of ecological patterns. Plant Ecol 179:1–19

    Article  Google Scholar 

  • Myint SW (2010) Multi-resolution decomposition in relation to characteristic scales and local window sizes using an operational wavelet algorithm. Int J Rem Sens 31:2551–2572

    Article  Google Scholar 

  • Myint SW, Gober P, Brazel A, Grossman-Clarke S, Weng Q (2011) Per-pixel vs. object-based classification of urban land cover extraction using high spatial resolution imagery. Remote Sens Environ 115:1145–1161

    Article  Google Scholar 

  • National Bureau of Statistics of China (2011) Communiques on population census of China. http://www.stats.gov.cn/tjgb/rkpcgb/. Accessed 9 Nov 2011

  • O’Neill RV, Johnson AR, King AW (1989) A hierarchical framework for the analysis of scale. Landscape Ecol 3:193–205

    Article  Google Scholar 

  • Pacione M (2009) Urban geography: a global perspective, 3rd edn. Routledge, London/New York

    Google Scholar 

  • Percival DP (1995) On estimation of the wavelet variance. Biometrika 82:619–631

    Article  Google Scholar 

  • Percival DB, Walden AT (2000) Wavelet methods for time series analysis. Cambridge University Press, New York

    Google Scholar 

  • Priestnall G, Jaafar J, Duncan A (2000) Extracting urban features from LiDAR digital surface models. Comput Environ Urban 24:65–78

    Article  Google Scholar 

  • Rosenberg MS (2004) Wavelet analysis for detecting anisotropy in point patterns. J Veg Sci 15:277–284

    Article  Google Scholar 

  • Saunders SC, Chen J, Crow TR, Brosofske KD (1998) Hierarchical relationships between landscape structure and temperature in a managed forest landscape. Landscape Eco 13:381–395

    Article  Google Scholar 

  • Schneider A, Friedl MA, Potere D (2009) A new map of global urban extent from MODIS satellite data. Environ Res Lett 4:044003–044013

    Article  Google Scholar 

  • Seto KC, Sánchez-Rodríguez R, Fragkias M (2010) The new geography of contemporary urbanization and the environment. Annu Rev Env Resour 35:167–194

    Article  Google Scholar 

  • Seto KC, Fragkias M, Güneralp B, Reilly MK (2011) A meta-analysis of global urban land expansion. PLoS ONE 6(8):e23777

    Article  PubMed  CAS  Google Scholar 

  • Theobald DM (2001) Land-use dynamics beyond the American urban fringe. Geogr Rev 91:544–564

    Article  Google Scholar 

  • Torrence C, Compo GP (1998a) A practical guide to wavelet analysis. Bull Am Meteorol Soc 79:61–78

    Article  Google Scholar 

  • Torrence C, Compo GP (1998b) A practical guide to wavelet analysis—with significance and confidence testing. In: Frequently asked questions. http://paos.colorado.edu/research/wavelets/. Accessed 9 Nov 2011

  • UN (2008) World urbanization prospects: the 2007 revision. United Nations, New York

  • Vermote E, Tanre D, Deuze JL, Herman M, Morcrette JJ (1997) Second simulation of the satellite signal in the solar spectrum: an overview. IEEE T Geosci Remote 35:675–686

    Article  Google Scholar 

  • Wu J (2008) Making the case for landscape ecology: an effective approach to urban sustainability. Landsc J 27:41–50

    Article  Google Scholar 

  • Wu J, David JL (2002) A spatially explicit hierarchical approach to modeling complex ecological systems: theory and applications. Ecol Model 153:7–26

    Article  Google Scholar 

  • Wu J, Loucks OL (1995) From balance of nature to hierarchical patch dynamics: a paradigm shift in ecology. Q Rev Biol 70:439–466

    Article  Google Scholar 

  • Wu J, Jones KB, Li H, Loucks OL (2006a) Scaling and uncertainty analysis in ecology: methods and applications. Springer, Dordrecht

    Book  Google Scholar 

  • Wu Q, Li H, Wang R, Paulussen J, He Y, Wang M, Wang B, Wang Z (2006b) Monitoring and predicting land use change in Beijing using remote sensing and GIS. Landsc Urban Plan 78:322–333

    Article  Google Scholar 

  • Wu J, Jenerette GD, Buyantuyev A, Redman CL (2011) Quantifying spatiotemporal patterns of urbanization: the case of the two fastest growing metropolitan regions in the United States. Ecol Complex 8:1–8

    Article  Google Scholar 

  • Xu C, Liu M, Zhang C, An S, Chen J, Yu W (2007) The spatiotemporal dynamics of rapid urban growth in the Nanjing metropolitan region of China. Landscape Ecol 22:925–937

    Article  Google Scholar 

  • Xu C, Liu M, Yang X, Sheng S, Zhang M, Huang Z (2010) Detecting the spatial differentiation in settlement change rates during rapid urbanization in the Nanjing metropolitan region, China. Environ Monit Assess 171:457–470

    Article  PubMed  Google Scholar 

  • Yu W, Liu M, Xu C, Chen F, An S (2007) The characteristic scales of the urban landscape in the Nanjing metropolitan region. Acta Ecol Sin 4:1480–1488

    Google Scholar 

  • Zhu M, Xu J, Jiang N, Li J, Fan Y (2006) Impacts of road corridors on urban landscape pattern: a gradient analysis with changing grain size in Shanghai, China. Landscape Ecol 21:723–734

    Article  Google Scholar 

Download references

Acknowledgments

The authors would like to thank three anonymous reviewers and Dr. Darrel Jenerette for their valuable suggestions on the earlier versions of this paper. This study was supported by the National Natural Science Foundation of China (30870433, 40801068 and 41101172) and Natural Science Foundation of Jiangsu Province (BK2009454).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Maosong Liu.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOC 8800 kb)

Rights and permissions

Reprints and permissions

About this article

Cite this article

Xu, C., Liu, M., Hong, C. et al. Temporal variation of characteristic scales in urban landscapes: an insight into the evolving internal structures of China’s two largest cities. Landscape Ecol 27, 1063–1074 (2012). https://doi.org/10.1007/s10980-012-9764-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10980-012-9764-x

Keywords

Navigation