Share This Article:

Estimation of Population of Ten Selected Forest Tree Species Used by Communities around Kalinzu Forest Reserve, South-Western Uganda

Abstract Full-Text HTML Download Download as PDF (Size:633KB) PP. 207-212
DOI: 10.4236/ojf.2012.24025    3,931 Downloads   6,017 Views  

ABSTRACT

Local communities depend on Kalinzu Forest Reserve (KFR) for plant resources. This resource utilization affects the population of tree species in the forest. This study set out to estimate the population of ten tree species in the forest. Results of this study are hoped to provide a basis for studying future changes in population dynamics of the species. The ten species selected were: Newtonia buchananii, Cynometra alexandrei, Teclea nobilis, Prunus africana, Entandrophragma exelsum, Sapium ellipticum, Diospyros abyssinica, Zanthoxylum gilletii, Rytiginia kigeziensis and Spathodea nilotica. Their selection was based on the results of a study (Aine-Omucunguzi et al., 2010) about utilization of plant resources by the local people around KFR. Species with high demand from the local people were selected. Alternate nested quadrants along five line transects, were used to estimate the population. The plants were categorized into three classes as trees (>5 cm diameter at breast height), saplings (2 cm root collar diameter-5 cm diameter at breast height) and wildings (<2 cm root collar diameter). Population, population density, relative density, frequency, and relative frequency of each species were determined. Generally, the number of wildings, saplings and trees of each species increased away from the forest edge inwards. For all the species, wildings had the highest population density followed by saplings and then trees. Teclea nobilis had the highest number of individual per hectare, followed by Newtonia buchananii, while Rytiginia kigeziensis and Spathodea nilotica had the lowest number of individuals per hectare.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Adalbert Aine-omucunguzi, A. , Rugunda, G. & Byarugaba, D. (2012). Estimation of Population of Ten Selected Forest Tree Species Used by Communities around Kalinzu Forest Reserve, South-Western Uganda. Open Journal of Forestry, 2, 207-212. doi: 10.4236/ojf.2012.24025.

References

[1] Aine-Omucunguzi, A., Rugunda, G. K., & Byarugaba, D. (2010). Utilization of forest plant resources by the local people around Kalinzu forest reserve, south-western Uganda. African Journal of Ecology, 48, 819-821.
[2] Alder, D., & Synnot, T. J. (1992). Permanent sample plot techniques for mixed tropical forest. Teopical Forestry Paper No. 25, Oxford: Oxford Forestry Institute.
[3] Bleher, B., Oberrath, R., & Bohning-Gaese, K. (2002). Seed dispersal, breeding systems, tree density and the spatial pattern of trees—A simulation approach. Basic and Applied Ecology, 3, 115-123. doi:10.1078/1439-1791-00088
[4] Eilu, G. (1995). The natural regeneration of canopy tree species following human disturbance in Bwindi impenetrable forest, Uganda. Master’s thesis, Kampala: Makerere university.
[5] Fayle, T. M., Chung, A. Y. C., Dumbrell, A. J., Eggleton, P., & Foster W. A. (2009). The effects of rain forest canopy architecture on the distribution of epiphytic ferns (Asplenium spp.) in Sabah Malaysia. Biotropica, 41, 676-681. doi:10.1111/j.1744-7429.2009.00523.x
[6] Howard, P. (1991). Nature conservation in Uganda’s tropical forest reserves. Gland and Cambridge: International Union for Conservation of Nature.
[7] Nakibuka, M. (1994). Some aspects of tropical rain forest regeneration following encroachment in the Mabira forest reserve. Dissertation, Kampala: Makerere University.
[8] Nazre, M., Latiff, A., & Mohamad-Roslan, M. K. (2009). Effects of topography and soil on the distribution of under canopy trees of Garcinia (Guttiferae) in lowland forest of Peninsular Malaysia. International Journal of Botany, 5, 287-294.

  
comments powered by Disqus

Copyright © 2020 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.