Mapping Fruit Trees and Other Tree Species on Njala Campus, Kori Chiefdom Moyamba District Southern Sierra Leone
Ibrahim Robinson Kargbo *
Department of Forestry and Wood Science, Njala University, Njala, Sierra Leone.
Sahr Moryima
Department of Forestry and Wood Science, Njala University, Njala, Sierra Leone.
Abdulai Barrie
Department of Forestry and Wood Science, Njala University, Njala, Sierra Leone.
Alpha Sesay
Institute of Geography and Development Studies, Njala University, Njala, Sierra Leone.
*Author to whom correspondence should be addressed.
Abstract
Fruit and other tree species contribute to the landscape of Njala Campus, yet their occurrence and distribution across campus locations require documentation. This study identified and mapped fruit, timber and other tree species in selected areas of Njala Campus, Kori Chiefdom, Moyamba District, Southern Sierra Leone. A field survey was conducted across six locations: Crown Agent Quarters, Senior Staff Quarters, Junior Staff Quarters, the Secretariat, L Quarters and the National Agricultural Training Centre. Tree identification was supported by a mobile plant-identification application, while field records included common names, botanical names, taxonomic groupings and individual tree abundance. The study also described measurements taken at breast height. The location-level summary reported 2,648 individual trees across the six areas. L Quarters contained the highest reported abundance, with 2,000 trees, including substantial counts of Acacia mangium and Gmelina arborea. The National Agricultural Training Centre had the lowest reported tree abundance. Fruit, timber and ornamental species were documented across the surveyed locations, and differences in abundance were evident between sections. Tree cover was reported particularly around residential quarters within a broader grassland-dominated campus landscape. The findings offer a descriptive record of surveyed tree resources and may support future campus management and monitoring. This inventory can serve as a basis for subsequent assessment of species composition and distribution and for conservation planning within the areas examined.
Keywords: Fruit tree species, plant identification app, DBH, distribution