Show simple item record

dc.contributor.authorNansubuga, Sumini
dc.date.accessioned2022-11-09T11:27:23Z
dc.date.available2022-11-09T11:27:23Z
dc.date.issued2019-05-15
dc.identifier.citationNansubuga, Sumini (2019). Monitoring the spatial-temporal drought events and their impact on the productivity of selected major crops in Uganda. (Unpublished Master's Dissertation). Makerere University, Kampala, Uganda.en_US
dc.identifier.urihttp://hdl.handle.net/10570/10926
dc.descriptionA project report submitted to the School of Built Environment in partial fulfillment of the requirements for the award of the degree of Master of Science in Geo-Information Science and Technology of Makerere University.en_US
dc.description.abstractDrought is a natural local, regional or global phenomenon that is caused by the lack of precipitation over a period. Drought in agriculture is ―shortage of water in the root zone, resulting in decreased crop yield‖ (Salekdeh et al., 2009). In Uganda, climate change has been determined to contribute a major threat to agricultural production and productivity (Mwaura & Okoboi, 2014). Agriculture is a big contributor to the national economy and the development of Uganda. It provides about 20% of the gross domestic product (GDP), 48% to export earnings and employs about 73% of the population (Epule et al., 2017). The most immediate consequence of drought is a fall in crop production, due to inadequate and poorly distributed rainfall (NEMA 2010). Despite the known effect of drought hazard, limited studies have been done to assess the spatial and temporal impact of drought events on regional crops grown mostly in particular regions in Uganda. The objective of the research was to investigate the impact of drought events on the productivity of major regional crops in Uganda. The study was conducted in selected districts in the north, central and western regions that represented areas growing cassava, coffee and bananas respectively. The main datasets used in the study-included precipitation to derive drought severity, frequency and spatial variation. Precipitation data was acquired from CHIRPS. While production yield datasets were acquired from FAOSTAT and used to derive yield index. DrinC software was used for generating drought indices based on Standard Precipitation Index (SPI) and ArcGIS 10.6, was used for mapping spatial patterns of Drought. Crop yield index was generated based on Standardized Variable of Crop Yield (SVCY). Microsoft excel was used for summarizing drought and crop yield index. Results showed 1980, 1983, 1985, 1989, 1991, 1992, 1993, 1994, and 1999 as drought years. Western, east and northeast were most devastated with drought events compared to other regions in Uganda. Between 1980-1990, severe drought events caused severe to extreme loss of banana yield in western Uganda. In the same period, there was a severe loss of coffee in central Uganda. Between 2011-2017, the severe drought in northern Uganda resulted to severe loss of cassava yield. Despite analysis of effect of drought on crop yield, it was discovered that wet conditions had an effect on banana and cassava production.en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectspatial-temporal eventsen_US
dc.subjectdroughten_US
dc.subjectproductivityen_US
dc.subjectcropsen_US
dc.subjectUgandaen_US
dc.titleMonitoring the spatial-temporal drought events and their impact on the productivity of selected major crops in Ugandaen_US
dc.typeThesisen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record