Journal of Natural Environment

Assessing urban growth patterns in Sari using landscape ecology approach

Document Type : Research Paper

Authors

1 MSc. Department of Environmental Science, Faculty of Natural Resources, University of Tehran, Karaj, Iran.

2 Assistant Professor Department of Environmental Science, Faculty of Natural Resources, University of Tehran, Karaj, Iran; Jabbarian@ut.ac.ir

3 Assistant Professor Department of Environmental Science, Faculty of Natural Resources, University of Tehran, Karaj, Iran

4 Associate Professor, Department of Forestry, Faculty of Natural Resource, University of Tehran,Karaj, Iran

Abstract

Urban growth has been an important social and economic phenomenon that affects severely on function of ecological systems. Hence, understanding and analyzing the spatial patterns of urban growth using remote sensing, GIS and landscape metrics can play a fundamental role in urban land use management and planning and subsequently reduction in environmental problems and challenges among them. Therefore, in present study we examined urban growth in Sari city and its surrounding. For this purpose, satellite images of 1992, 1998, 2002 and 2009 of the study area was processed to generate land use\ cover maps. Accordingly, different types of urban growth have been quantified using post classification method (map overlay), applying a set of landscape metrics at class level including PD, MPS, ED, LPI and ENN and developing R metric at patch level applying ArcGIS 9.3.The results show that, urban development is associated with the growth of old patches in the study area. While the outlying growth type became the dominant pattern, the infilling growth decreased over the entire study period.

Keywords

  1.  

    1. Amiri, B.J., Nakane. K., 2009. Modeling the linkage between river water quality and landscape metrics in the Chugoku District of Japan. Water resources management, Vol. 23, No. 5, pp: 931-956.
    2. Aguilera, F., Valenzuela, L.M. and Botequiha-Leitao, A. 2011. Landscape metrics in the analysis of urban land use patterns: A case study in a Spanish metropolitan area. Landscape and Urban Planning, Vol. 99, No. 3-4, pp:226-238.
    3. Alavipanah, S.K., 2003. Application of Remote Sensing in the Earth Sciences (soil). Tehran university publication, Tehran, 478. in Persian.
    4. Arnoff, A. 2011. Remote sensing for GIS managers. Tehran univercity press, Tehran, 710 p. In Persian.
    5. Asgarian A, Jabbarian Amiri B, Alizadeh Shabani A, Feghhi J. 2014. Predicting the spatial growth and urban sprawl in Sari, Iran using Markov Cellular Automata model and shannon entropy. Applied ecology. 3(6), 13-25.
    6. Asgarian, A., JabbarianAmiri, B., AlizadehShabani, A., Feghhi, J. 2013. Assessment of urban sprawl in Sari: Application of remote sensing and Shannon’s antropy index. 20st national geomatics conference. National Cartographic Center (NCC). in Persian.
    7. Chander C, Markham B, and Helder D. 2009. Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI sensors. Remote Sensing of Environment, 113, 893-903.
    8. Costanza, R., d’Arge, R., de Groot, R., Farber, S., Grasso, M., Hannon, B., Limburg, K., Naeem, S., O’Neill, R.V., Paruelo, J., Raskin, R.G., Sutton, P., van den Belt, M. 1997. The value of the world’s ecosystem services and natural capital. Nature, 387,253–260.
    9. DiBari, J.N. 2007. Evaluation of five landscape-level metrics for measuring the effects of urbanization on landscape structure: the case of Tucson, Arizona, USA. Landscape and Urban Planning, 79(3-4), 308-313.
    10. Dosskey, M. 2001. Toward quantifying water pollution abatement in response to installing buffers on crop land. Environmental Management, 28, 577–598.
    11. Fichera, C.R., Modica, G. and Pollino, M. 2012. Land Cover classification and change-detection analysis using multi-temporal remote sensed imagery and landscape metrics. European Journal of Remote Sensing, 45,1-18.
    12. Herold, M., Couclelis, H. and Clarke, K. C. 2003. The role of spatial metrics in the analysis and modeling of urban land use change. Journal of Computers, Environment and Urban Systems, 29(4), 369–399.
    13. Iranian Bureau of Statistics. 2010. Statistical yearbook of Mazandaran province, Available from http://www.amar.org.ir/Default.aspx?tabid=667&fid=11275 salname-02-98.pdf. Accessed September 2012.in Persian.
    14. Iranian Bureau of Statistics. 2011. Census of Population and Housing. Available on http://www.amar.org.ir/Portals/0/Files/abstract/1390/sarshomari90_nahaii.pdf Accessed September 2012.in Persian.
    15. Jackson, L.V, L. Laack, L.L. and Zimmerman, G.E. 2005. Landscape metrics associated with habitat use by ocelots in south Texas. Journal of Wildlife Management, 69(2), 733-738.
    16. Jafari, H.R., Hamzeh, M., Nasiri H., Rafii, Y. 2011. Developing decision tree and data mining based conceptual model for detecting land cover changes using TM images and ancillary data. Environmental sciences, 8, 1-19. in Persian.
    17. Jensen, J. 1996. Introductory digital image processing: a remote sensing perspective, 2nd edn, Prentice-Hall, New Jersey.
    18. Karami, A., Feghhi, J. 2010. Investigation of Quantitative metrics to protect the landscape in land use by sustainable pattern (Case study: Kohgiluyeh and Boyer Ahmad). Journal of Environmental Studies, 60, 35-44. in Persian.
    19. Kong, F., Yin, H. and Nakagoshi, N. 2007. Using GIS and landscape metrics in hedonic price modeling of the amenity value of urban green space: a case study in Jinan city, China. Journal of Landscape and Urban Planning, 79( 3-4), 240–252.
    20. Matsushita, B., Xu, M., and Fukushima, T. 2006.Characterizingchanges in landscape structure in the Lake Kasumigaura Basin, Japan using a high-quality GIS dataset,Landscape and Urban Planning, 78(3), 241-250.
    21. McGarigal, K. and Marks, B. J. 1995[r1] . FRAGSTATS: Spatial pattern analysis program forquantifying landscape structure, Gen. Tech. Rep. PNW-GTR-351. Portland, OR:U.S. Department of Agriculture, Forest Service, Pacific Northwest ResearchStation.
    22. Miller, A.B., Bryant, E.S. and Birnie, R.W. 1998, An analysis of land cover changes in the northern forest of new England using multitemporal Landsat MSS data. International Journal of Remote Sensing, 19(2), 245-265.
    23. Mitsova, D., Shuster, W. and Wang, X. 2009. A cellular automata model of land cover change to integrateurban growth with open space conservation. Journal of Landscape and Urban Planning, 99( 2), 141–153.
    24. Mondal, P. and Southworth, J. 2010. Evaluation of conservation interventions using a cellular automata-Markov model, Forest Ecology and Management, 260(10), 1716-1725.
    25. Mozaffari, GH., Ola zedeh, A. 2008. A Study and Analysis of Physical Development of Saghez and it's Future Optimization Development with the Use of GIS. Journal of Environmental Studies. 47, 11-20.
    26. Randolph, J 2004, Environmental Land Use Planning and Management, Island Press, Washington, DC.
    27. Sheikh Goodarzi, M., AlizadehShabani, A., Salman Mahiny, A., Feghhi, J. 2012. Investigation of urban growth impacts on suitability of conservational patches using a landscape ecological approach (Study Area: Korganroud Watershed), Applied ecology, 1, 30-40. in Persian.
    28. Shi, Y., Sun, X., Zhu, X., Li, Y. and Mei, L. 2012. Characterizing growth types and analyzing growth density distribution in response to urban growth patterns in peri-urban areas of Lianyungang City. Landscape and Urban Planning, 105(4), 425– 433.
    29. Sun, C., Wu, Z., Lv, Z.,Yao, N. and Wei, J. 2013. Quantifying different types of urban growth and the change dynamic in Guangzhou using multi-temporal remote sensing data, International Journal of Applied Earth Observation and Geoinformation, 21, 409-417.
    30. TalebiAmiri, SH., AzariDehkord, F., Sadeghi S.H., Soofbaf, S.R. 2009. Study on landscape degradation in neka Watershed using landscape metrics. Journal of environmental studies. 6(3), 133-144. in Persian.
    31. Tang, J., Wang, L. and Zhang, S. 2005. Investigating landscape pattern and its dynamics in Daqing, China. International Journal of Remote Sensing, 26, (11), 2259– 2280.
    32. Tang, J., Wang, L., Yao, Z. 2008. Analyses of urban landscape dynamics using multi-temporal satellite images: A comparison of two petroleum-oriented cities, Landscape and Urban Planning, 78(4), 269-278.
    33. Toolaei, S., Khazaei, A., 2006. Spatial distribution of population in Sari province. Geography. Vol. 11, pp: 125-142. In Persian
    34. Turner, B. L. and Meyer, W. B. 1994. Changes in land use and land cover: a global perspectiv, Cambridge University Press, New York.
    35. UMASS, )2013(, Landscape Ecology program, Available fromhttp://www.umass.edu/landeco/research/fragstats/documents/Conceptual%20Background/Background%20TOC. Html.Accessed 26th June 2012.
    36. Xu, C., Liu, M. S., Zhang, C., An, S. Q., Yu, W. and Chen, J. M. 2007. The spatiotemporal dynamics of rapid urban growth in the Nanjing metropolitan region of China. Landscape Ecology, 22(6), 925–937.
    37. Yang, X. and Lo, C.P. 2002. Using a time series of satellite imagery to detect land use and land cover changes in the Atlanta, Georgia metropolitan area. International Journal of Remote Sensing, 23,(9), 1775–1798.
    38. Zhang, Q.,Wang, J., Peng, X., Gong, P. and Shi, P. 2002. Urban built-up land change detection with road density and spectral information from multi-temporal Landsat TM data. International Journal of Remote Sensing, 23(15), 3057–3078.

     

     

     

     

     

Journal of Natural Environment
Volume 68, Issue 1 - Serial Number 1
June 2015
Pages 95-107