EFFECTS OF URBAN EXPANSION ON VEGETATION COVER LOSS IN LAGOS STATE, NIGERIA
DOI:
https://doi.org/10.46881/ajsn.v10i0.188Keywords:
Land use/land cover change, LAC, LCR, urbanization, GIS and remote sensing, built-up expansion, Lagos stateAbstract
Urbanization is a significant human activity affecting the environment. The study analyzes land use/land cover changes and examines built-up expansion through multi-temporal Landsat images spanning 1985 to 2015. In order to assess the pattern of urbanization, land consumption ratio (LCR) and land absorption coefficient (LAC) have been estimated. In 1985, vegetation cover occupied 54.70%, water bodies accounted for 22.10%, and built-up/open area accounted for 15.80% of the total study area. However, in 2015, vegetation and water bodies reduced drastically to 42.60% and 17.90% while there was a geometric progression in built-up/open area accounting for 39.50% of the entire study area. Also, between 1985-2015, vegetation cover and water bodies declined by 0.74% and 0.63% while the built-up/open area increased at an average rate of 4.99% per annum. The analysis of land consumption ratio revealed that built-up expansion has led to a high level of consumption of vegetation cover and water bodies at the rate of 0.016, 0.007 and 0.006 in 1985, 2000 and 2015 respectively. Similarly, land absorption coefficient accounted for 0.002 and 0.005 between the periods of 1985-2000 and 2000-2015. The rate of land acquisition indicates that development is high over the 30 years leading to a decline of green areas. If the present trend continues, it will lead to severe degradation of urban micro-biome, especially wetland resources, hence the call for a proper land-use policy for Lagos and other similar megacities in Nigeria.References
Akinbode, O.M., Eludoyin A.O. andFashae O.A. (2007). Temperature and relative humidity distributions in a medium-size administrative town in southwest Nigeria, Journal of Environmental Management 87(1):95-105. http://doi.org/:10.1016/j. jenvman. 2007.01.018
Amin, A. and Fazal, S. (2012). Quantification of Land Transformation using Remote Sensing and GIS techniques. American Journal of Geographic Information System, 1 (2): 17-28.
Anderson, R., Hardy, E.E., Roach, J.T. and Witmer, R.E. (1976). A land use and land cover classification system for use with remote sensor data. USGS Professional Paper 964, Sioux Falls, SD, USA
Antwi, E.K., Boakye-Danquah J., Asabere S.B., Yiran G A.B., Kofi L.S. and Awere, K.G. (2014).LandUse and Landscape Structural Changes in the Ecoregions of Ghana. Journal of Disaster Research, 9, 452-464.
Balogun, A.A., Balogun I.A., Adefisan, A.E., and Abatan, A.A. (2009). Observed characteristics of the urban heat island during the harmattan and monsoon in Akure, Nigeria. Eighth Conference on the Urban Environment. AMS 89th Annual Meeting, 11 -15 Phoenix, AZ. Paper JP4.6, available online-http://ams.confex.com /ams/pdfpapers/152809.pdf.
Boori, M.S., Voz¡en'ýlek, V., and Choudhary, K.(2015). Land use/cover disturbancedue to tourism in Jesený'ky Mountain, Czech Republic: aremote sensing and GIS based approach. Egypt. Journal of Remote Sensing Space Science, 18 (1): 1726.
Butt, A., Shabbir R., Ahmad, S.S., and Aziz, N. (2015a). Land use change mapping and analysis using Remote Sensing and GIS: A case study of Simly watershed, Islamabad, Pakistan. The Egyptian Journal of Remote Sensing and Space Sciences, 18: 251-259.
Butt, A., Shabbir, R., Ahmad, S.S., Aziz, N., Nawaz, M., and Shah, M.T.A. (2015b). Land cover classification and change detection analysis of Rawal watershed using remote sensing data. Journal of Biology and Environmental Science, 6 (1): 236-248.
Chapin F.S., Zavaleta E.S., Eviner V.T., Naylor R.L., Vitousek P.M., Reynolds H.L., Hooper D.U., Lavorel S., Sala, O.E., Hobbie S.E., Mack M.C., Diaz S. (2000). Consequences of changing biodiversity. Nature, 405 (6783): 234-242. http://dx.doi.org/10.1038/35012241
Cohen, B. (2004). Urban growth in developing countries: a review of current trends and a caution regarding existing forecasts. World Development, 32(1): 23-51.
Coppin, P., Jonckheere, I., Nackaerts, K. and Muys, B. (2004). Digital change detection methods in ecosystem monitoring: a review. International Journal of Remote Sensing, 25: 1565-1596.
Fasal, S. (2000). Urban expansion and loss of agricultural land. A GIS based study of Saharanpur city. India in Environmental Urbanization, 12 (2): 133–149.
Hansen, M. C., Potapov, P. V., Moore, R., Hancher, M., Turubanova, S. A., Tyukavina, A. and Townshend, J. R. G. (2013). HighResolution Global Maps of 21st-Century Forest Cover Change. Science,342 (6160): 850-853. doi:10.1126/science.1244693
Hugh, M.C. (2006). Spatially varying rules of landscape change: lessons from a case study. Landscape and Urban Planning, 74 (1): 7-20.
Ifatimehin, O. O. (2007). “An Assessment of Urban Heat Island of Lokoja Town and Surroundings using Land Sat ETM Data. Federal University of Technology Yola. Journal of the Environment. 2(1), 100–109.
Jenson, J.R and Cowen, D.C. (1999). Remote sensing of urban/suburban infrastructure and socio-economic attributes. Photogrammetric Engineering and Remote Sensing, 65 (5): 611-622.
Jensen, J. R. (1995). Introductory Digital Image Processing: a remote sensing perspective (New Jersey: Prentice-Hall)
Kalnay, E and Cai, M. (2003). Impact of urbanization and land use change on climate. Nature, 423: 528- 531.
Kelarestaghi, A, Ahmadi, H., Jafari, M. and Tahmoures, M. (2006). Land use Change Detection and Spatial Distribution Using Digital and Satellite Data: A Case Study of Farim Drainage, Northern Iran. Available Online at http://www.tropentag.de/2007/ abstracts/full/330.pdf Accessed on July 31, 2008
Keller, A., Sakthivadive, R., and Seckler, D. (2000). Water scarcity and the role of storage in development. International Water Management Institute, 39: 120.
Liu, J, Zhan, J. and Deng, X. (2005).Spatio - Temporal Patterns and Driving Forces of Urban Land Expansion in China during the Economic Reform Era AMBIO: A Journal of the Human Environment, 34 (6): 450-455.
Lu, D., Mausel, P., Brondizio, E. and Moran, E. (2004). Change detection techniques. International Journal of Remote Sensing, 25: 2365-2407.
Malila, W.A. (1980). Change vector analysis: an approach for detecting forest changes with Landsat. In: 6th Annual Symposium on Machine Processing of Remotely Sensed Data, Purdue University, West Lafayette, Indiana, 326-335.
National Population Commission of Nigeria. (2009). 2006 census
National Bureau of Statistics. (2013). Nigeria data and statistics
Ogunsote, O.O., Adedeji, Y. M. D. and PrucnalOgunsote, B. (2011). “Combating environmental degradation through sustainable landscaping in emerging mega cities: a case study of Lagos, Nigeria", In Proceedings of the 24th World Congress of Architecture “UIA 2011 TOKYO 25: 1621.
Olaleye, J. B., Abiodun, O. E. and Asonibare, R. O. (2012). Land-use and land cover analysis of Ilorin Emirate between 1986 and 2006 using Landsat imageries. African Journal of Environmental Science and Technology, 6 (4): 189-198.
Olorunfemi, J.F. (2001). Better by far, 51st Inaugural Lecture, publication of the University of Ilorin. 60 p
Pickett, S.T.A., Cadenasso, M.L., Grove, J.M., Nilon, C.H., Pouyat, R.V., Zipperer, W.C., and Constanza, R. (2001). Urban Ecological Systems: Linking Terrestrial / Ecological, Physical, and Socioeconomic Components of Metropolitan Areas. Annual Review of Ecology and Systematics 32: 127–157.
Riebsame, W.E., Meyer, W.B. and Turner, B.L. (1994). “Modeling Land-use and Cover as Part of Global Environmental Change”. Climate Change, 28: 45.
Semwal, R.L., Nautiya, S., Sen, K.K., Rana, U., Maikhuri, R.K. and Rao K.S. (2004). Patterns and ecological implications of agricultural land-use changes: a case study from central Himalaya, India. Agriculture, Ecosystem, & Environment, 102: 81-92.
Singh, A. (1989). Review article digital change detection techniques using remotelysensed data. International Journal of Remote Sensing, 10: 989- 1003.
Twumasi, Y.A., Cole, T.C. and Manu, A. (2004). “Biodiversity Management Using Remotely Sensed Data and GIS Technologies: A Case of Digya National Park, Ghana”. 31st Int'l Symposium on Remote Sensing and Environment, Saint Petersburg, Russian Federation. Available online at http://www.isprs.org/publications /related/ISRSE/papers/html/316.pdf Accessed on June 7, 2007
Vanderee, D. and Ehrlich, D. (1995). Sensitivity of ISODATA to changes in sampling procedures and processing parameters when applied to AVHRR time-series NDVI data. International Journal of Remote Sensing, 16: 673-686.
Voogt, J.A. and Oke, T.R. (1997). Complete urban surface temperatures. Journal of Applied Meteorology., 36: 1117-1132.
Weng, Q. (2001). A remote Sensing-GIS evaluation of urban expansion and its impacts on surface temperature in the Zhujiang, Delta, China. International Journal of Remote Sensing. 22 (10): 1999-2014.
Yang, X. and Lo, C. P. (2000). Relative radiometric normalization performance for changedetection from multi-date satellite images, Photogrammetric Engineering and Remote Sensing, 66 (8): 967-980.
Yeates, M. and Garner, B. (1976). The North American City. New York: Harper and Row Publication
Zhao, L.M., Dickson, R.E.and Tian, Y.H. (2004). Evidence for a significant urbanization effect on urban climate in china. P Natl. Acad. Sci. USA, 101: 9540- 9544.
Zubair, A. (2006). Change Detection in land use and land cover using remote sensing and GIS: A case study in Ilorin and its environs in Kwara state. MSc thesis
Zubair, A.O. (2008). Monitoring the growth of settlements in Ilorin, Nigeria. In AARSE (Ed), Conference proceedings on the 7th AARSE International Conference on Earth Observation and Geo information for governance in Africa, Accra. 380-391