Intensification of Agriculture as the Driving Force in the Degradation of Nzoia River Basin: the Challenges of Watershed Management.
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Date
2012-04-13
Authors
Onywere, S. M.
Getenga, Z.M.
Baraza,W.
Twesigye, C.K.
Mwakalila,S.S.
Nakiranda, J. K.
Journal Title
Journal ISSN
Volume Title
Publisher
Catchment and Lake Research
Abstract
The Lake Victoria riparian countries suffer from devastating effects of floods and droughts occasioned by severe weather related natural phenomena. The floods often follow prolonged droughts that have become a mark of despair for the communities living in the region. Climate
change and anthropogenic factors causing land degradation such as deforestation of catchment
areas, poor agricultural practices, inappropriate livelihood systems and changing land use systems are established to be the contributing factors. The physical setting of the flood impacted
areas also play a major role. Whenever the floods and the droughts occur they are accompanied with serious human distress, suffering and fatalities with disruption of human settlements, damage to infrastructure, crop failure, disease outbreaks and disruption of the ecological environment. Two case studies illustrating the effects of intensified agriculture and the changing
livelihood systems at the upper part of Middle Nzoia Catchment at Nzoia sugarcane growing area and the flood plain area of Nzoia River at Budalangi are presented to show the potential of
geo information technology in assessing and monitoring land use changes and the impacts there in. SPOT image data show intensification of sugarcane growing with every inch of land under crop. All the wetlands along Nzoia river have been drained up to the riverbank. Although the problem is aggravated by rapid population increase the land use policy has disregarded the land potential, its carrying capacity, and limitations of the land resources as well as their diversity and distribution. The conversion of the land cover into a mono-crop agricultural cultivation is evident from the time series Landsat image interpretation for the area