Environment, Development and Sustainability

, Volume 15, Issue 1, pp 167–175 | Cite as

Physical development trend and green space destruction in developing cities: a GIS approach



Green spaces considered natural remnants in urban environments play a key role in promoting environmental quality and forming a sustainable city. Nowadays, development of urban spaces has taken a hasty growth. In the meanwhile, the natural green spaces are severely damaged. The current study aims at investigating the trend of changes in green space of Tabriz City, the second large industrial city in Iran, on the basis of landscape ecology principles. In order to prepare the land-cover maps, Landsat TM and IRS LISS-III of the years 1989 and 2006 were applied. Alongside, landscape percentage metrics, the largest patch index, number of patches, patch density, edge density, total edge, class area and landscape shape index were also used to analyse the changes. Metric analysis of the landscape within the studied years revealed that a large part of the region has enjoyed a rapid growth (equivalent to 64.5 %) in constructions. As the obtained results showed, the smallest landscape percentage (3.9 %) in the study area is belonged to the municipal green space, while the largest landscape percentage (66 %) is allocated to the barren land. This shows that the constructions have not balanced with creation of new green spaces, and the lack of green space per capita continues to be felt.


Landscape metrics Municipal green spaces Remote sensing Landscape structure 


  1. Alhamad, M. N., Alrababah, M. A., Feagin, R. A., & Gharaibeh, A. (2011). Mediterranean drylands: The effect of grain size and domain of scale on landscape metrics. Ecological Indicators, 11(2), 611–621.CrossRefGoogle Scholar
  2. Antrop, M., & Van Eetvelde, V. (2000). Holistic aspects of suburban landscapes: Visual image interpretation and landscape metrics. Landscape and Urban Planning, 50(1–3), 43–58.CrossRefGoogle Scholar
  3. Chiesura, A. (2004). The role of urban parks for the sustainable city. Landscape and Urban Planning, 68, 129–138.Google Scholar
  4. Colson, F., Bogaert, J., & Ceulemans, R. (2011). Fragmentation in the Legal Amazon, Brazil: Can landscape metrics indicate agricultural policy differences? Ecological Indicators, 11(5), 1467–1471.CrossRefGoogle Scholar
  5. Cushman, S. A., McGarigal, K., & Neel, M. C. (2008). Parsimony in landscape metrics: Strength, universality, and consistency. Ecological Indicators, 8(5), 691–703.CrossRefGoogle Scholar
  6. Fernandes, M. R., Aguiar, F. C., & Ferreira, M. T. (2011). Assessing riparian vegetation structure and the influence of land use using landscape metrics and geostatistical tools. Landscape and Urban Planning, 99(2), 166–177.CrossRefGoogle Scholar
  7. Forman, R. T. T. (1995). Land mosaics: The ecology of landscapes and regions. New York, NY: Cambridge University press.Google Scholar
  8. Frohn, R. C., & Hao, Y. (2006). Landscape metric performance in analyzing two decades of deforestation in the Amazon Basin of Rondonia, Brazil. Remote Sensing of Environment, 100(2), 237–251.CrossRefGoogle Scholar
  9. Graham, A. J., Danson, F. M., Giraudoux, P., & Craig, P. S. (2004). Ecological epidemiology: landscape metrics and human alveolar echinococcosis. Acta Tropica, 91(3), 267–278.CrossRefGoogle Scholar
  10. Ji, W., Ma, J., Wahab Twibell, R., & Underhill, K. (2006). Characterizing urban sprawl using multi-stage remote sensing images and landscape metrics. Computers, Environment and Urban Systems, 30(6), 861–879.CrossRefGoogle Scholar
  11. Kong, F., & Nakagoshi, N. (2006). Spatial-temporal gradient analysis of urban green spaces in Jinan, China. Landscape and Urban Planning, 78(3), 147–164.CrossRefGoogle Scholar
  12. Kong, F., Yin, H., & Nakagoshi, N. (2007). Using GIS and landscape metrics in the hedonic price modeling of the amenity value of urban green space: A case study in Jinan City, China. Landscape and Urban Planning, 79(3–4), 240–252.CrossRefGoogle Scholar
  13. Kong, F., Yin, H., Nakagoshi, N., & Zong, Y. (2010). Urban green space network development for biodiversity conservation: Identification based on graph theory and gravity modeling. Landscape and Urban Planning, 95, 16–27.CrossRefGoogle Scholar
  14. Li, X., He, H. S., Bu, R., Wen, Q., Chang, Y., Hu, Y., et al. (2005). The adequacy of different landscape metrics for various landscape patterns. Pattern Recognition, 38(12), 2626–2638.CrossRefGoogle Scholar
  15. Mas, J. F., GAO, Y., & Pacheco, J. A. N. (2010). Sensitivity of landscape pattern metrics to classification approaches. Forest Ecology and Management, 259, 1215–1224.CrossRefGoogle Scholar
  16. Narumalani, S., Mishra, D. R., & Rothwell, R. G. (2004). Change detection and landscape metrics for inferring anthropogenic processes in the greater EFMO area. Remote Sensing of Environment, 91(3–4), 478–489.CrossRefGoogle Scholar
  17. O’Neill, R. V., Krummel, J. R., Gardner, R. H. Sugihara, G., Jackson, B., DeAngelis, D.L., Milne, B. T., Turner, M. G., Zygmunt, B., Christensen, S. W., Dale, V. H., & Graham, R. L. (1988). Indices of landscape pattern. Landscape Ecology, 1(3), 153–162.Google Scholar
  18. Peng, J., Wang, Y., Zhang, Y., Wu, J., Li, W., & Li, Y. (2010). Evaluating the effectiveness of landscape metrics in quantifying spatial patterns. Ecological Indicators, 10(2), 217–223.CrossRefGoogle Scholar
  19. Rafiee, R., Mahiny, A. S., & Khorasani, N. (2009). Assessment of changes in urban green spaces of Mashhad city using satellite data. International Journal of Applied Earth Observation and Geoinformation, 11, 431–438.CrossRefGoogle Scholar
  20. Rocchini, D., Perry, G. L. W., Salerno, M., Maccherini, S., & Chiarucci, A. (2006). Landscape change and the dynamics of open formations in a natural reserve. Landscape and Urban Planning, 77(1–2), 167–177.CrossRefGoogle Scholar
  21. Sano, M., Miyamoto, A., Furuya, N., & Kogi, K. (2009). Using landscape metrics and topographic analysis to examine forest management in a mixed forest, Hokkaido, Japan: Guidelines for management interventions and evaluation of cover changes. Forest Ecology and Management, 257(4), 1208–1218.CrossRefGoogle Scholar
  22. Saura, S., & Castro, S. (2007). Scaling functions for landscape pattern metrics derived from remotely sensed data: Are their subpixel estimates really accurate? ISPRS Journal of Photogrammetry and Remote Sensing, 62(3), 201–216.CrossRefGoogle Scholar
  23. Schindler, S., Poirazidis, K., & Wrbka, Th. (2008). Towards a core set of landscape metrics for biodiversity assessments: A case study from Dadia National Park, Greece. Ecological Indicators, 8(5), 502–514.CrossRefGoogle Scholar
  24. Solon, J. (2009). Spatial context of urbanization: Landscape pattern and changes between 1950 and 1990 in the Warsaw metropolitan area, Poland. Landscape and Urban Planning, 93(3–4), 250–261.CrossRefGoogle Scholar
  25. Sundell-Turner, N. M., & Rodewald, A. D. (2008). A comparison of landscape metrics for conservation planning. Landscape and Urban Planning, 86, 219–225.CrossRefGoogle Scholar
  26. Uuemaa, E., Roosaare, J., & Mander, Ü. (2005). Scale dependence of landscape metrics and their indicatory value for nutrient and organic matter losses from catchments. Ecological Indicators, 5(4), 350–369.CrossRefGoogle Scholar
  27. Weng, Y.-Ch. (2007). Spatiotemporal changes of landscape pattern in response to urbanization. Landscape and Urban Planning, 81(4), 341–353.CrossRefGoogle Scholar
  28. Zaragozí, B., Belda, A., Linares, J., Martínez-Pérez, J. E., Navarro, J. T., & Esparza, J. (2012). A free and open source programming library for landscape metrics calculations. Environmental Modelling & Software, 31, 131–140.CrossRefGoogle Scholar
  29. Zhou, X., & Wang, Y.-Ch. (2011). Spatial–temporal dynamics of urban green space in response to rapid urbanization and greening policies. Landscape and Urban Planning, 100(3), 268–277.CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2012

Authors and Affiliations

  1. 1.Young Research Club, Tabriz BranchIslamic Azad UniversityTabrizIran
  2. 2.Department of Environment and Energy, Science and Research BranchIslamic Azad UniversityTehranIran

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