This study was conducted in Agama Forest in Kafa Zone, Southwestern Ethiopia, to assess species diversity, vegetation structure, and regeneration status of woody species. A systematic sampling technique was employed to collect vegetation data. Sixty (60) sample plots of 25 m × 25 m were laid at 300 m intervals all along ten grids interspaced 800 m apart. Sample plots of 25 m × 25 m were used to record DBH and H of all woody plant species reaching a DBH >2.5 cm and height >2 m. For the inventory of seedling and sapling, two subplots of 2 m × 5 m were used at the beginning and the end of the baseline on opposite sides of the main quadrat. Vegetation data such as DBH, height, seedling, and sapling density of woody species were recorded in each plot. Altogether, 72 woody plant species of 65 genera and 35 families were identified. Analysis of selected tree species showed diverse population structures. This study showed that small trees and shrubs dominated the Agama Forest, which revealed its status under a secondary regeneration stage. Study on the structure and regeneration of some woody species indicated that there are species that require urgent conservation measures. Sound management and monitoring, as well as maintenance of biodiversity and cultural and economic values of the forest, require conservation activities that encourage sustainable uses of the forest and its products.

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Abstract. Bareke T, Addi A. 2019. Bee flora resources and honey production calendar of Gera Forest in Ethiopia. Asian J For 3: 69-74. Gera forest contains substantial coverage of natural forest and known as a Key Biodiversity Hotspot area for Coffea arabica conservation and one of the potential areas for beekeeping. The study was carried out to assess the bee flora and flowering calendar to harvest more honey following the flowering plant cycle. Semi-structured questionnaires, participatory Rural Appraisal (PRA) techniques, and field observation were used for data collection. Honey samples collection was also made to identify the botanical origin of honey through honey pollen analysis. Seventy-four bee plant species were identified, which belongs to 41 families. Among the identified plant families, Asteraceae (29.3%), Lamiaceae (14.6%), Acanthaceae (12.2%), and Fabaceae (9.8%) are the most frequent families, represented by the highest species composition in the area. Four major honey harvesting durations were identified (January, March, April, and early June for Vernonia, Coffee, Schefflera, and Croton honey respectively) using the flowering calendar in Gera Forest. The pollen analysis of honey revealed that four types of monofloral honeys were identified comprising Schefflera abyssinica, Vernonia amygdalina, C. arabica and Croton macrostachyus in Gera forest. This is due to their abundance and potentiality for honey production. Therefore, the beekeepers should follow the flowering calendar of the plant to exploit the potential of the forest for honey production. Furthermore, market promotion for monofloral honeys of the Gera forest should be made as an incentive for the beekeepers to sell honey with premium prices and branding and labeling of honey of the area

Abstract. Addi A, Soromessa T, Bareke T. 2020. Plant diversity and community analysis of Gesha and Sayilem Forest in Kaffa Zone, southwestern Ethiopia. Biodiversitas 21: 2878-2888. The study was conducted at Gesha and Sayilem districts of the Kaffa Zone with the objective of identifying the floristic compositions, plant community types, and associated environmental factors of the forest. Stratified random sampling technique was used. A total of 90 plots were used to collect vegetation data. The plant community classification was performed using agglomerative Hierarchical cluster analysis Ward’s linkage method was applied in R-software. Species diversity and evenness were evaluated using the Shannon diversity and evenness indices respectively. The study revealed that the study area composed of 300 species that belong to 239 genera in 96 families. Asteraceae was the most abundant family followed by Fabaceae, Acanthaceae, Poaceae, Rubiaceae, and Euphorbiaceae accounting 37%, 15%, 14%, 13%, 12%, and 9% respectively. Five plant community types were identified and these were Ilex mitis-Syzygium guineense, Pouteria adolfi-friedericii-Schefflera abyssinica, Millettia ferruginea-Sapium ellipticum, Arundinaria alpina and Schefflera volkensii-Masea-lanceolata community types. Among the community types, Pouteria adolfi-friedericii-Syzygium guineense community was the most diverse whereas Arundinaria alpina community was the least diverse community. Canonical Correspondence of vegetation data analysis indicated that altitude, disturbance, slope, phosphorus, and the electrical conductivity were the environmental factors that significantly influence the plant communities. The high dependency of local communities on the forest resources is affecting the plant biodiversity. Thus, conservation of the forest through the introduction of sustainable forest management interventions including participatory forest management seems an appropriate action.

Tropical Afromontane forests are among the most species-rich ecosystems on earth and comprise exceptional species richness and high concentrations of endemic species. The natural forest of Agama, an Afromontane forest, was studied with the objectives of determining its species composition, diversity and community types. Systematic sampling design was used to collect vegetation data. Soil samples were taken from each relevé at a depth of 0 to 30 cm and soil pH, sand, clay and silt were analyzed. The plant communities' classification was performed using the hierarchical cluster analysis. We evaluated species richness, eveness (Pielou J' index) and diversity (Shanon-Wiener index). Sorensens's similarity ratio was used to compare Agama forest with other similar forest in Ethiopia. A total of 162 plant species, 130 genera and 70 families were recorded from which Acanthaceae and Rubiaceae were the richest families. Furthermore nine endemic plant species were identified. In this study, four plant community types were identified and described. Post-hoc comparison of means among the community types showed that altitude was differed significantly between community types, indicating altitude is the most important factor in determining community type. Phytogeographical comparison of Agama Forest with other vegetation using Sorensens's similarity ratio revealed the highest similarity with Masha and Godre forest. In conclusion Agama forest presents high richness, diversity and endemism, with different plant communities according to altitude. Thus conservation of plant biodiversity is highly recommended.