Exploring the Future of Nairobi National Park in a Changing Climate and Urban Growth
Nairobi National Park (NNP) is increasingly suffering from the impacts of urbanization. The unprecedented growth of satellite towns around NNP has encroached on wildlife dispersal routes causing diminished grazing and habitat areas for wildlife. This chapter assesses historical urban growth patterns, historical seasonal rainfall trends, and gives an outlook of future rainfall changes for Nairobi. Historical seasonal rainfall over Nairobi is found to be highly variable with the period 2000–2017 implying increased intraseasonal rainfall variability. Projections for rainfall indicate an increasing rainfall, and rapid population growth in Nairobi and significant encroachment into the NNP and its adjacent wildlife dispersal areas are also recorded. Recommendations for policy makers, implementers, and consumers are made to inform NNP’s survival and prosperity.
- CBS. (1996). Kenya Population Census 1989: Analytical Report Volume IV: Migration and Urbanization. Nairobi: Central Bureau of Statistics (CBS).Google Scholar
- CBS. (2002). Kenya 1999 Population and Housing Census: Migration and Urbanization. Nairobi: Central Bureau of Statistics (CBS).Google Scholar
- Climate Hazard Group (CHG). (2018). GeoCLIM. [Online]. Available at http://wiki.chg.ucsb.edu/wiki/GeoCLIM.
- Gandiwa, E., Heitkonig, I. M., Eilers, P. H., & Prins, H. H. (2016). Rainfall Variability and Its Impact on Large Mammal Populations in a Complex of Semi-arid African Savanna Protected Areas. Tropical Ecology, 57(2), 163–180.Google Scholar
- Giorgi, F., Jones, C., & Asrar, G. R. (2009). Addressing Climate Information Needs at the Regional Level: The CORDEX framework. WMO Bulletin 58(3).Google Scholar
- IPCC. (2014). Climate Change 2014: Synthesis Report. In R. K. Pachauri, & L. A. Meyer (Eds.), Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (151 pp). Switzerland: IPCC.Google Scholar
- Karimi, F. (2016). Mohawk the Lion Shot Dead in Kenya After Attacking man. CNN.Google Scholar
- Kenya National Bureau of Statistics (KNBS). (2015). Nairobi City County. Nairobi: Kenya National Bureau of Statistics.Google Scholar
- Kiboro, L. M., & Kiboro, C. N. (2016, August). Impact of Land Use Changes on Wildlife Population in Nairobi National Park and Kitengela Dispersal Areas in Kenya. International Journal of Science and Research (IJSR), 5(8), 462–465. Paper ID: ART2016774. https://doi.org/10.21275/ART2016774.
- Kinuthia Njenga, C., & Blanco, P. K. (2009). Climate Change and Mitigation in Nairobi. s.l.: The World Bank.Google Scholar
- Kutatoi, S. K., & Waweru, A. (2018). The Causes of Human and Wildlife Conflict Within Kajiado South Sub County. Journal of Conflict Management, 1(1), 23–33.Google Scholar
- Max-Planck-Institut fur Meteorologie. (2018). Climate Data Operators. [Online] Available at http://www.mpimet.mpg.de/cdo.
- Ngotho, W., & Kangu, M. (2016). Influence of Land Tenure System on Social Economic Development of Households in Kajiado North District. Journal of Poverty, Investment and Development, 1(1), 1–15.Google Scholar
- Nkedianye, D. (2004). Testing the Attitudinal Impact of a Conservation Tool Outside a Protected Area: The Case of the Kitengela Wildlife Conservation Lease Programme for Nairobi National Park. Nairobi: University of Nairobi.Google Scholar
- NOAA. (n.d.) WMO-Normals. [Online]. Available at ftp://atdd.noaa.gov/pub/GCOS/WMO-Normals/TABLES/REG_I/KN/63741.TXT.
- Ogega, O. M. (2017). Use of Scientific and Indigenous Knowledge in Adapting to Climate Change and Variability Over the Kenyan Coast. Nairobi: University of Nairobi.Google Scholar
- Olima, W. H. A., 2011. The Dynamics and Implications of Sustaining Urban Spatial Segregation in Kenya: Experiences from Nairobi Metropolis. Cambridge, MA: s.n.Google Scholar
- Owino, C. G., Ogachi, I. O., & Olel, M. A. (2011). Role of Institutional Managers in Quality Assurance: Reflections on Kenya’s University Education. Australian Journal of Business and Management Research, 1(2), 113–124.Google Scholar
- R Development Core Team. (2018). The R Project for Statistical Computing. [Online]. Available at http://www.R-project.org.
- Snedecor, G. W., & Cochran, W. G. (1989). Statistical Methods (8th ed.). Ames, IA: Iowa State University Press.Google Scholar
- Sveriges Meteorologiska och Hydrologiska Institut (SMHI). (2007). Rossby Centre Regional Climate Model. s.l.: s.n.Google Scholar
- UCAR. (2018). NCAR Command Language. [Online]. Available at http://dx.doi.org/10.5065/D6WD3XH5.
- Wakachala, F. M., et al. (2015). Statistical Patterns of Rainfall Variability in the Great Rift Valley of Kenya. Journal of Environmental and Agricultural Sciences, 5, 17–26.Google Scholar