Sunday, 9 October 2016

Impacts of Mau Forest Catchment on the Great Rift Valley Lakes in Kenya

Published Date
DOI: 10.4236/gep.2016.45014   

Author(s)    
Mark Kipkurwa Boitt*



Remote sensing and GIS applications are being widely used for various projects relating to natural resource management. Forests are very important national assets for economic, environmental protection, social and cultural values and should be conserved in order to realize all these benefits. Kenya’s forests are rapidly declining due to pressure from increased population, technological innovation, urbanization human development and other land uses. Mau forest is one of the major forests in Kenya that is a catchment area for many Great Rift Valley lakes within the country and faces a lot of destruction. Continued destruction of the Mau forest will cause catastrophic environmental damage, resulting in massive food crises and compromising the livelihoods of millions of Kenyans, and the possible collapse of the tourism industry. The purpose of this research was to investigate the relationship between the increasing rate of deforestation and the reduction of the volumes of water in the neighboring lakes between the years 1989 to 2010. Satellite images from Landsat-5 Thematic Mapper (TM) and Landsat-7 Enhanced Thematic Mapper (ETM+) were used for the detection of changes in the Mau forest and the dynamics of the neighboring water bodies that included lakes: Naivasha, Baringo, Nakuru, Elementaita and Bogoria. The research showed that from a period of 1989 to 2010 Mau forest has been decreasing due to deforestation and the water bodies have irregular dynamics in that, from 1989 to 2000, there was rise in the volume of water, this is attributed to the El Nino rains experienced in the country during the year 1997 and 1998. But between 2000 and 2010 the volume decreased as the forest is also decreasing. It is recommended that the government creates awareness to sensitize the public on the importance of such forests as catchment areas in Kenya.

[1]Dorren, L.K., Maier, B. and Seijmonsbergen, A.C. (2003) Improved Landsat-Based Forest Mapping in Steep Mountainous Terrain Using Object-Based Classification. Forest Ecology and Management, 183, 31-46.
http://dx.doi.org/10.1016/S0378-1127(03)00113-0
[2]Fassnacht, K.S., Gower, S.T., MacKenzie, M.D., Nordheim, E.V. and Lillesand, T.M. (1997) Estimating the Leaf Area Index of North Central Wisconsin Forests Using the Landsat Thematic Mapper. Remote Sensing of Environment, 61, 229-245.
http://dx.doi.org/10.1016/S0034-4257(97)00005-9
[3]Pellikka, P.K., Lötjönen, M., Siljander, M. and Lens, L. (2009) Airborne Remote Sensing of Spatiotemporal Change (1955-2004) in Indigenous and Exotic Forest Cover in the Taita Hills, Kenya. International Journal of Applied Earth Observation and Geoinformation, 11, 221-232.
http://dx.doi.org/10.1016/j.jag.2009.02.002
[4]Beentje, H.J. and Ihlenfeldt, H.D. (1990) The forests of Kenya. Mitteilungenausdem Institutfür Allgemeine Botanik Hamburg, 23, 265-286.
[5]Wass, P. (1995) Kenya’s Indigenous Forests. IUCN, Gland, Switzerland, and Cambridge, UK in collaboration with ODA.
[6]Obare, L. and Wangwe, J.B. (1998) Underlying Causes of Deforestation and Forest Degradation in Kenya. World Forest Movement.
http://www.wrm.org.uy/deforestation/Africa/Kenya.html
[7]Bosworth, D., Brown, H., Helms, J.A., McCarthy, L.F. and Jenkins, D.H. (2007) Investing in the Future: Ecological Restoration and the USDA Forest Service/RESPONSE: The Forest Service Must Broaden Its Focus Beyond Restoration/ RESPONSE: Ecological Restoration: A Fitting Goal for America’s National Forests. Journal of Forestry, 105, 208.
[8]Chrisphine, O.M., Maryanne, O.A. and Mark, B.K. (2016) Assessment of Hydrological Impacts of Mau Forest, Kenya. Hydrology: Current Research.
http://dx.doi.org/10.4172/2157-7587.1000223
[9]Hesslerová, P. and Pokorny, J. (2010) Effect of Mau Forest Clear Cut on Temperature Distribution and Hydrology of Catchment of Lakes Nakuru and Naivasha: Preliminary Study. In: Water and Nutrient Management in Natural and Constructed Wetlands, Springer, Netherlands, 263-273.
http://dx.doi.org/10.1007/978-90-481-9585-5_19
[10]Mango, L.M., Melesse, A.M., McClain, M.E., Gann, D. and Setegn, S.G. (2011) Land Use and Climate Change Impacts on the Hydrology of the Upper Mara River Basin, Kenya: Results of a Modeling Study to Support Better Resource Management. Hydrology and Earth System Sciences, 15, 2245-2258.
http://dx.doi.org/10.5194/hess-15-2245-2011
[11]Raini, J.A. (2009) Impact of Land Use Changes on Water Resources and Biodiversity of Lake Nakuru Catchment Basin, Kenya. African Journal of Ecology, 47, 39-45.
http://dx.doi.org/10.1111/j.1365-2028.2008.01048.x
[12]Turner, B.L., Meyer, W.B. and Skole, D.L. (1994) Global Land-Use/Land-Cover Change: Towards an Integrated Study. AMBIO Stockholm, 23, 91-95.
http://www.jstor.org/stable/4314168?origin=JSTOR-pdf
[13]Fisher, P.F., Comber, A.J. and Wadsworth, R. (2005) Land Use and Land Cover: Contradiction or Complement. Re-Presenting GIS, 85-98.
[14]Carlson, T.N. and Ripley, D.A. (1997) On the Relation between NDVI, Fractional Vegetation Cover, and Leaf Area Index. Remote sensing of Environment, 62, 241-252.
http://dx.doi.org/10.1016/S0034-4257(97)00104-1
[15]Mubea, K. and Menz, G. (2012) Monitoring Land-Use Change in Nakuru (Kenya) Using Multi-Sensor Satellite Data. Advances in Remote Sensing, 1, 74-84.
http://dx.doi.org/10.4236/ars.2012.13008

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http://www.scirp.org/journal/PaperInformation.aspx?PaperID=44517

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