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dc.contributor.authorAduma Mildred M
dc.date.accessioned2013-03-21T08:44:54Z
dc.date.issued2011
dc.identifier.citationMaster of Science in GISen
dc.identifier.urihttp://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/14866
dc.description.abstractThe debate on effects of climate change has been going on globally but the scientific consensus is that global land and sea temperatures are warming under the influence of greenhouse gases, and will continue to warm regardless of human intervention for at least the next two decades. Temperatures have already increased by 0.6°C over the 20th century, and most of this warming is attributable to human activities .The rise in temperatures and changing patterns of precipitation will influence crops by shifting optimal crop growing zones and potentially affecting crop yields. African countries are particularly vulnerable to climate change because of their dependence on rain-fed agriculture, which accounts for a large share of GDP in the region. Suitability evaluation of crop growing regions based on the changing climate may reduce the risks and uncertainties to farmers of crop failure and reduced yields. In Kenya, the main staple food is maize which is greatly associated with food security. To invest effectively in cultivation of maize in the country, it is important to take note of which maize varieties are available in Kenya, their quality and quantity and where they are grown or can be grown. It is on these bases of looking for relevant and justified information that farmers can be provided with the relevant information through GIS techniques using crop biophysical requirements versus landscape characterization information sourced from existing global and national database. This study set out to assess the effects of climate change on the area growing H614D maize variety in the Rift Valley. The study analyzed the relationship between the maize growing area and the changes in temperature and rainfall .Suitability maps of H614D maize crop were derived via Boolean algebraic modeling. The findings of this study included time series suitability information for the H614D maize for the years 2000, 2020, 2050, and 2080. It is evident from the resultant maps that the area under cultivation of the maize variety is decreasing with time as the temperature increases and rainfall decreases. Projections from 2000 to 2050 indicate that some areas that were originally suitable for growing the maize variety will no longer be suitable in future. It will therefore be necessary for researchers to come up with new maize varieties for these areas or introduce other crops that will be best suited for the prevailing climatic conditions. However the future is not doomed completely because the suitability in 2080 depicts a completely new scenario where the area seems to be replicating itself, as rainfall increases. This implies that the maize crop could be adopted again in the year 2080.The districts largely affected by the shifts are: Trans Nzoia, Uasin Gishu, Nakuru, Narok, Baringo, Keiyo and West Pokoten
dc.description.sponsorshipUniversity of Nairobien
dc.language.isoenen
dc.titleSuitability Evaluation for H614D Maize Species using GISen
dc.title.alternativeCase study: Rift Valley Province, Kenyaen
dc.typeThesisen
local.publisherdepartment of Geospatial and Space Technologyen


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