This study aimed to evaluate land use/land cover changes (1987–2017), prediction (2032–2047), and identify the drivers of Majang Forest Biosphere Reserves. Landsat image (TM, ETM+, and OLI-TIRS) and socioeconomy data were used for the LU/LC analysis and its drivers of change. The supervised classification was also employed to classify LU/LC. The CA-Markov model was used to predict future LU/LC change using IDRISI software. Data were collected from 240 households from eight kebeles in two districts to identify LU/LC change drivers. Five LU/LC classes were identified: forestland, farmland, grassland, settlement, and waterbody. Farmland and settlement increased by 17.4% and 3.4%, respectively; while, forestland and grassland were reduced by 77.8% and 1.4%, respectively, from 1987 to 2017. The predicted results indicated that farmland and settlement increased by 26.3% and 6.4%, respectively, while forestland and grassland increased by 66.5% and 0.8%, respectively, from 2032 to 2047. Eventually, agricultural expansion, population growth, shifting cultivation, fuel wood extraction, and fire risk were identified as the main drivers of LU/LC change. Generally, substantial LU/LC changes were observed and will continue in the future. Hence, land use plan should be proposed to sustain resource of Majang Forest Biosphere Reserves, and local communities’ livelihood improvement strategies are required to halt land conversion.

Article InformationCarbon sequestration through forestry has the potential to play a significant role in ameliorating global environmental problems such as atmospheric accumulation of GHG's and climate change.The present study was undertaken to estimate forest carbon stock along altitudinal gradient in Mount Zequalla Monastery forest. Systematic sampling methods were used to collect data from seventy 10 m x 20 m rectangular plots. The area was dominated by Juniperusprocera tree species. The mean carbon stock per hectare was 237.2, 47.6, 6.5 and 57.6 ton for above ground biomass, below ground biomass, litter biomass and soil respectively. The mean total carbon stock in Mount Zequalla Forest was 348.8 t ha-1 . The statistical analysis for carbon stock variation in the different carbon pools through altitudinal gradient showed a significant variation with exception for soil organic carbon stock. The amount of carbon stock in above and below ground biomass showed increasing pattern with increasing altitude whereas litter and soil organic carbon stocks showed decreasing pattern with increasing altitude.Overall this study points out Mount ZequallaMonastery forest has the potential to sequester plenty of CO2 with a considerable variation along altitude. Thus, it has paramount importance to give conservation priority to the forests to achieve climate change mitigation aspiration especially through forest carbon sequestration mechanism.

The aim of this study was to analyse the species composition, structures, and regeneration of woody plant species and the impacts of site factors on the natural regeneration of tree species in four study sites of MFBR. The vegetation data were collected systematically in 140 plots with the size of 400 m2 for trees; 25 m2 for seedlings, saplings, shrubs, and lianas; and 1 m2 for herbs. Individual tree and shrub DBH ≥ 5 cm were measured and counted. The diameter at breast height (DBH), frequency, basal area, importance value index (IVI), and density were used for vegetation structure description and regeneration. A total of 158 plant species belonging to 115 genera, 56 families, and 80 species (51%) trees, 26 (16%) shrubs, 19 (12%) herbs, and 33 (21%) lianas were identified and recorded. The most dominant families were Euphorbiaceae, Rubiaceae, and Moraceae, each represented by 13 species (7.4%), 12 species (6.8%), and 10 species (5.7%), respectively. The tree densities varied from 1232 to 1478 stem ha−1, sapling density 176.8 to 708.7 stem ha−1, and seedling density 534.7 to 1657.5 stem ha−1, with an average basal area of 63.6 m2 in the study sites. Dracaena afromontana was the most frequent woody species in the MFBR occurring in 90% followed by Celtis zenkeri (65%) and Pouteria altissima (62.5%). The regeneration status of all the woody plant species was categorised as “not regenerate” (9.6%), “poor” (30.7%), “fair” (59.5%), and “good” (10.8%) in all sites. The correlation result between natural regeneration and site factors revealed both positive and negative relationships. However, the main threat to the biosphere reserve is illegal logging for different purposes. Therefore, awareness creation on sustainable forest management, utilisation, conservation of priority species, and livelihood diversification to the local community and encouraging community and private woodlot plantation in the transitional zone of biosphere reserves are recommended.

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Forests that have a wide ecological gradient, diversity, and significant cover are confined in the southwestern part vis-à-vis other parts of Ethiopia, while the country is fronting biodiversity losses. The intention of this paper is comparative assessment of Majang, Kafa, Sheka, and Yayo biosphere reserves, located in the southwest of Ethiopia, regarding their status of plant diversity, challenges, and efforts of conservation. To this end, an extensive review of different journals, articles, and proceedings was made. Relevance to the objectives of the review was a selection criterion for sources inclusion. Consequently, the review indicates that all the biosphere reserves contained myriad plant biodiversity, specifically the “hotspot” of Afromontane rainforest biodiversity, with some degree of dissimilarities among them. For instance, the values of Shannon index illustrated a decreasing order in plant diversity as Sheka followed by Kafa, Yayo, and Majang biosphere reserve. Besides, out of the top ten documented plant families, the species richest families are Rubiaceae (15) in Yayo, Asteraceae (12) in Kafa, Euphorbiaceae (11) in Majang, and Asteraceae (11) in Sheka biosphere reserve, while the least species found in the families are as follows: Aspleniaceae and Sapindaceae in Majang; Poaceae, Solanaceae, and Araceae in Sheka; Celastraceae and Piperaceae in Kafa; and Fabacae and Solanaceae in Yayo. However, many challenges were encountered in all the biosphere reserves. The driving force behind is commercial coffee-tea plantation, agriculture expansion, overgrazing, firewood, charcoal, and other factors. Hence, to reduce forest conversion and biodiversity loss, the government of Ethiopia is creating conservation mechanism like the establishment of the protected area and biosphere reserve which is controlled and managed by the community and the government.