Geospatial assessment of oil palm growing in northern Uganda.
MetadataShow full item record
The oil palm tree (Elaeis guineensis Jacq.) is one of the world's most important tropical tree crops, from the Euphorbiaceae family. Oil palm is being adopted by many countries in the world because it is high yielding in nature and has many uses such as a source of palm oil, palm wine, roofing (leaves), building material (trunk), and medicines (roots). Due to its increased demand, many countries have adopted oil palm growing because of its positive economic benefits which has led to reduction of poverty rates. This has enabled the achievement of the first and eight sustainable development goals which are no poverty and decent work and economic growth respectively. The Government of Uganda plans to extend the oil palm project to Northern Uganda under the second phase of the National Oil Palm Project. According to the Final Project Design Report (2017) of the National Oil Palm Project, areas in Northern Uganda have been mapped for the project based on the rainfall, soil and temperature of the region but no detailed information of the area’s degree of suitability is provided. This research project employed Remote Sensing and Geographical Information Systems (GIS) methods which are fast, cheap and accurate to determine the degree of suitability of the region for oil palm growing. Besides the rainfall, soil and temperature parameters that were used to map the areas for the second phase of the oil palm project, other parameters such as landcover, elevation and slope required for the effective of oil palm were identified through literature review. The datasets were obtained from both online and offline databases and they were in either raster or vector format. The vector datasets were rasterized in ArcMap 10.8. Pre-processing was carried out on the data where the data was transformed to one coordinate system (WGS__1984_Arc 1960/UTM_ Zone 36N) and clipped. The data was then reclassified into four classes that is, highly suitable (S1), moderately suitable (S2), marginally suitable (S3) and unsuitable (N), using the Reclassify tool in ArcMap 10.8. Using the AHP, pairwise comparison matrices were constructed and the weight of each parameter computed. Suitability map was generated using weighted overlay tool. The results of the overlay identified 38.18%, 35.54%, 21.41% and 4.87% of the land area were highly suitable, moderately suitable, marginally suitable and unsuitable respectively. The highly preferred districts for oil palm growing are; Adjumani, Amuru, Lamwo, Nwoya, Gulu, Oyam, Kole, Pader, Otuke, Alebtong, Lira, Dokolo, Amolatar and Apac.