DOCSLIB.ORG

Addis Ababa University School of Graduate Studies Department of Biolgy

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Addis Ababa University School of Graduate Studies Department of Biolgy ADDIS ABABA UNIVERSITY SCHOOL OF GRADUATE STUDIES DEPARTMENT OF BIOLGY Floristic Composition and Structural Analysis of Komto Afromontane Rainforest, East Wollega Zone of Oromia Region, West Ethiopia By Fekadu Gurmessa June 2010 Addis Ababa I ADDIS ABABA UNIVERSITY SCHOOL OF GRADUATE STUDIES DEPARTMENT OF BIOLGY Floristic Composition and Structural Analysis of Komto Afromontane Rainforest, East Wollega Zone of Oromia Region, West Ethiopia A Thesis presented to the School of Graduate Programme of Addis Ababa University in a partial fulfillment of the Degree of Masters of Science in Biology (Botanical Science stream) By Fekadu Gurmessa II CONTENTS PAGE TABLE OF CONTENTS……………………………………………………..........................i LIST OF TABLES ................................................................................................................................ iii LIST OF FIGURES ............................................................................................................................... iv LIST OF PLATES ................................................................................................................................. iv LIST OF APPENDICES ....................................................................................................................... iv ACRONYMS ......................................................................................................................................... v AKNOWLEDGEMENTS .................................................................................................................... vii ABSTRACT ........................................................................................................................................ viii 1. INTRODUCTION .............................................................................................................................. 1 1.1 Background of the Study .............................................................................................................. 1 1.2 Statement of the Problem ............................................................................................................. 4 1.3 Objectives ..................................................................................................................................... 5 2. LITERATURE REVIEW ................................................................................................................... 6 2.1 Vegetation of Ethiopia ...................................................................................................................... 6 2.2 Biodiversity and threats on biodiversity in Ethiopia .................................................................... 8 2.3 The Plant community types ........................................................................................................ 10 2.3.1 Species diversity, richness and similarity ............................................................................ 11 2.4 Regeneration and Recruitment of Vegetation ................................................................................ 12 3. MATERIALS AND METHODS ..................................................................................................... 14 3.1 The Study Area ........................................................................................................................... 14 3.1.1 Location ............................................................................................................................... 14 3.1.2 Topography ......................................................................................................................... 14 3.1.3 Climate and agroclimatic zones ........................................................................................... 15 3.1.4 Soil ....................................................................................................................................... 16 3.1.5 Human population ............................................................................................................... 17 3.1.6 Land use and agriculture ..................................................................................................... 17 3.1.7 Vegetation ........................................................................................................................... 18 3.1.8 Wildlife ................................................................................................................................ 19 3.1.9 Drainage .............................................................................................................................. 20 3.2 Method ........................................................................................................................................ 20 i 3.2.1 Reconnaissance survey ........................................................................................................ 20 3.2.2 Sampling design .................................................................................................................. 20 3.2.3 Vegetation data collection ................................................................................................... 20 3.2.4 Data analysis ........................................................................................................................ 22 3.2.4.1 Multivariate analysis of vegetation data ....................................................................... 22 3.2.4.2 Diversity and similarity indices .................................................................................... 22 3.2.2.3 Structural analysis ........................................................................................................ 23 4. RESULT AND DISCUSSION ......................................................................................................... 25 4.1 Plant Species Richness of Komto Forest .................................................................................... 25 4.1.1 Endemism ............................................................................................................................ 29 4.1.2 Commercially important tree species .................................................................................. 30 4.2. Vegetation Classification ........................................................................................................... 30 4.2.1 Achyrospermum schimperi-Croton macrostachyus Community type ................................. 32 4.2.2. Solanecio gigas-Ficus sur Community type ...................................................................... 32 4.2.3 Justicia schimperiana-Acanthus eminens community type ................................................. 33 4.2.4 Periplocca linearifolia-Dracaena afromontana community type ....................................... 33 4.3 Species Diversity, Evenness and Richness of the Plant Communities ....................................... 35 4.4 Similarity among plant communities .......................................................................................... 36 4.5 Structure of the Forest ................................................................................................................ 37 4.5.1 Tree and shrub density ......................................................................................................... 37 4.5.2 Size class distributions ........................................................................................................ 38 4.5.2.1 Basal area...................................................................................................................... 40 4.5.2.2 Vertical structure .......................................................................................................... 43 4.5.3 Importance Value Index ...................................................................................................... 44 4.5.3.1 Density, Frequency and Dominance ............................................................................. 44 4.5.3.2 Dominant species of Komto Forest .............................................................................. 47 4.5.4 Population structure ............................................................................................................. 47 4.5.5 Phytogeographical comparison ........................................................................................... 49 4.5.6 Regeneration status of Komto Forest .................................................................................. 51 5. CONCLUSION AND RECOMMENDATION ............................................................................... 53 5.1 Conclusion .................................................................................................................................. 53 5.2 Recommendation ........................................................................................................................ 54 6.REFERENCES .................................................................................................................................. 56 ii LIST OF TABLES Table 1 Land use pattern of Wayu Tuka District: .................................................................. 17 Table 2 Families with their corrosponding number of genera and species. ........................... 25 Table 3 Species not reported from Wollega floristic region (WG) on Floa of Ethiopia and Eritrea. ......................................................................................................................
Load more

Recommended publications
  • Local History of Ethiopia Ma - Mezzo © Bernhard Lindahl (2008)
    Local History of Ethiopia Ma - Mezzo © Bernhard Lindahl (2008) ma, maa (O) why? HES37 Ma 1258'/3813' 2093 m, near Deresge 12/38 [Gz] HES37 Ma Abo (church) 1259'/3812' 2549 m 12/38 [Gz] JEH61 Maabai (plain) 12/40 [WO] HEM61 Maaga (Maago), see Mahago HEU35 Maago 2354 m 12/39 [LM WO] HEU71 Maajeraro (Ma'ajeraro) 1320'/3931' 2345 m, 13/39 [Gz] south of Mekele -- Maale language, an Omotic language spoken in the Bako-Gazer district -- Maale people, living at some distance to the north-west of the Konso HCC.. Maale (area), east of Jinka 05/36 [x] ?? Maana, east of Ankar in the north-west 12/37? [n] JEJ40 Maandita (area) 12/41 [WO] HFF31 Maaquddi, see Meakudi maar (T) honey HFC45 Maar (Amba Maar) 1401'/3706' 1151 m 14/37 [Gz] HEU62 Maara 1314'/3935' 1940 m 13/39 [Gu Gz] JEJ42 Maaru (area) 12/41 [WO] maass..: masara (O) castle, temple JEJ52 Maassarra (area) 12/41 [WO] Ma.., see also Me.. -- Mabaan (Burun), name of a small ethnic group, numbering 3,026 at one census, but about 23 only according to the 1994 census maber (Gurage) monthly Christian gathering where there is an orthodox church HET52 Maber 1312'/3838' 1996 m 13/38 [WO Gz] mabera: mabara (O) religious organization of a group of men or women JEC50 Mabera (area), cf Mebera 11/41 [WO] mabil: mebil (mäbil) (A) food, eatables -- Mabil, Mavil, name of a Mecha Oromo tribe HDR42 Mabil, see Koli, cf Mebel JEP96 Mabra 1330'/4116' 126 m, 13/41 [WO Gz] near the border of Eritrea, cf Mebera HEU91 Macalle, see Mekele JDK54 Macanis, see Makanissa HDM12 Macaniso, see Makaniso HES69 Macanna, see Makanna, and also Mekane Birhan HFF64 Macargot, see Makargot JER02 Macarra, see Makarra HES50 Macatat, see Makatat HDH78 Maccanissa, see Makanisa HDE04 Macchi, se Meki HFF02 Macden, see May Mekden (with sub-post office) macha (O) 1.
    [Show full text]
  • Demography and Health
    SNNPR Southern Nations Nationalities and Peoples Demography and Health Aynalem Adugna, July 2014 www.EthioDemographyAndHealth.Org 2 SNNPR is one of the largest regions in Ethiopia, accounting for more than 10 percent of the country’s land area [1]. The mid-2008 population is estimated at nearly 16,000,000; almost a fifth of the country’s population. With less than one in tenth of its population (8.9%) living in urban areas in 2008 the region is overwhelmingly rural. "The region is divided into 13 administrative zones, 133 Woredas and 3512 Kebeles, and its capital is Awassa." [1] "The SNNPR is an extremely ethnically diverse region of Ethiopia, inhabited by more than 80 ethnic groups, of which over 45 (or 56 percent) are indigenous to the region (CSA 1996). These ethnic groups are distinguished by different languages, cultures, and socioeconomic organizations. Although none of the indigenous ethnic groups dominates the ethnic makeup of the national population, there is a considerable ethnic imbalance within the region. The largest ethnic groups in the SNNPR are the Sidama (17.6 percent), Wolayta (11.7 percent), Gurage (8.8 percent), Hadiya (8.4 percent), Selite (7.1 percent), Gamo (6.7 percent), Keffa (5.3 percent), Gedeo (4.4 percent), and Kembata (4.3 percent) …. While the Sidama are the largest ethnic group in the region, each ethnic group is numerically dominant in its respective administrative zone, and there are large minority ethnic groups in each zone. The languages spoken in the SNNPR can be classified into four linguistic families: Cushitic, Nilotic, Omotic, and Semitic.
    [Show full text]
  • Species Composition, Plant Community Structure and Natural Regeneration Status of Belete Moist Evergreen Montane Forest, Oromia Regional State, Southwestern Ethiopia
    Species composition, Plant Community structure and Natural regeneration status of Belete Moist Evergreen Montane Forest, Oromia Regional state, Southwestern Ethiopia Kflay Gebrehiwot1* and Kitessa Hundera2 1Department of Biology, Samara University, P.O.Box 132, Ethiopia (*[email protected]) 2Department of Biology, Jimma University, P.O.Box 378, Ethiopia ABSTRACT Belete forest is one of the very few remnant moist evergreen montane forests in Ethiopia. The objective of this work was to study the vegetation structure, composition and Natural regeneration status of Belete moist evergreen montane forest. To investigate the plant community structure, composition and regeneration status of Belete forest, line transects were laid down on the longest transect starting from the bottom valley to the top ridge. Sample quadrats 20m x20 m, 5m x 5m, 1m x 1m were laid for trees, shrubs, sapling and seedling, and herbaceous layer respectively in a nested form. The sample quadrats were laid down along transects at a distance of 50m from each other. A total of 69 quadrats were sampled. Vegetation classification was performed using PC - ORD for windows version 5.0. Five communities were recognized. Results showed that a total of 157 plant species representing 69 families and 135 genera were recorded. These were composed of 31.2% Herbs, 28.7% Trees, 26.1% Shrubs, 5.7% Climbers, 5.1% Liana, 1.9% Epiphytic herbs, and 1.3% herbaceous Ferns. The major families were Fabaceae and Asteraceae each represented by 10 species (6.4%), followed by Lamiaceae 9 (5.7%) and Rubiaceae 6 (3.8%). Other thirty three families consisting 19.8% were represented by one species only.
    [Show full text]
  • Woody Vegetation Composition, Structure and Conservation Status of Gole Forest in Kamba Woreda, Gamo Gofa Zone, SNNPR, Ethiopia
    Woody Vegetation Composition, Structure and Conservation Status of Gole Forest in Kamba Woreda, Gamo Gofa Zone, SNNPR, Ethiopia THESIS By Etalem Geresu May 2016 ARBA MINCH, ETHIOPIA Woody Vegetation Composition, Structure and Conservation Status of Gole Forest in Kamba Woreda, Gamo Gofa Zone, SNNPR, Ethiopia THESIS By Etalem Geresu Thesis Submitted to Department of Biology College of Natural Science School of Graduate Studies in partial fulfillment of the requirements for the Master of Science in Biology (Botanical sciences) May, 2016 ARBA MINCH, ETHIOPIA ii ARBA MINCH UNIVERSITY SCHOOL OF GRADUATE STUDIES DEPARTEMENT OF BIOLOGY EXAMINERS APPROVAL PAGE This is to certify that the thesis entitled “Woody Vegetation Composition, Structure and `Conservation Status of Gole Forest in Kamba Woreda, Gamo Gofa Zone, SNNPR, Ethiopia‟‟ by Etalem Geresu in partial fulfillment of the requirements for the degree of Master‟s science in with specialization in Botanical Sciences incorporate the rules and regulation of Arba Minch University and meet the accepted standard with respect to originality and quality. Name of chairperson Signature Date External Examiner Signature Date Internal Examiner Signature Date Principal advisor Signature Date i Declaration I hereby declare that this M.Sc. thesis is my original work and has not been presented for a degree in any other university, and all sources of material used for this thesis have been duly acknowledged. Name: Etalem Geresu Signature: _______________ Date: ___________________ ii Contents LIST OF TABLES
    [Show full text]
  • Impressions of Remote Area Electrification on Social and Economic Indicators
    AIMS Energy, 8(6): 1045–1068. DOI: 10.3934/energy.2020.6.1045 Received: 16 April 2020 Accepted: 14 October 2020 Published: 23 October 2020 http://www.aimspress.com/journal/energy Research article Impressions of remote area electrification on social and economic indicators Pawan Singh1, Baseem Khan2,*, Hassan Haes Alhelou3 and Om Prakash Mahela4 1 Department of CSE, Amity School of Engineering and Technology, Lucknow, India 2 Department of Electrical Engineering, Hawassa University, Ethiopia 3 Department of Electrical Power Engineering, Faculty of Mechanical and Electrical Engineering, Tishreen University, 2230 Lattakia, Syria 4 Power System Planning Division, Rajasthan Rajya Vidyut Prasaran Nigam Ltd., Jaipur, India * Correspondence: Email: [email protected]. Abstract: The development of any country depends on the electrification of rural regions as most of the population is residing in rural areas. Development is counted in terms of per capita energy consumption as well as even distribution of electricity. This paper presents an investigation of the impact of rural electrification on lighting, studying, energy expenditure, and income. Data has been collected from southern region rural villages. Some villages are connected and some are non- connected with the grid. To estimate the decision probability of getting connected from households, electrified and non-electrified villages are evaluated. These observations are used to determine the impact of electrification of rural areas on resultant indicators. The authors observed a minor positive effect on home study and income, whereas a major effect on lighting usage. Finally, the potential improvements in the socio-economical status of rural people by improved lighting are highlighted. Keywords: rural electrification; electrification impact assessment; propensity score; matching algorithms 1.
    [Show full text]
  • Survey on Composition of Perennial Vegetation in Sesa Mariam
    Meshesha et al. BMC Res Notes (2015) 8:622 DOI 10.1186/s13104-015-1562-5 RESEARCH ARTICLE Open Access Survey on composition of perennial vegetation in Sesa Mariam Monastery, Northwestern Ethiopia Birhanu Woldie Meshesha1, Berhanu Abraha Tsegay2* and Birhanu Belay Telake3 Abstract Background: Sustainable use of natural resources is one of the leading agenda because anthropogenic activities are leading to the depletion of these resources. Ethiopia is one of the biodiversity reach areas in the world, but the floral diversity is being threatened before they are fully explored. In line with this, very little is known about the flora of Sesa Mariam monastery, found in northwest Ethiopia. The area is one of the few remnant monastery forests in the country with old aged tree species. The aim of the study was to explore and document the floristic composition, density and regeneration status of perennial plant species in order to provide base line information for the sustainable utilization and management of the forest resources. Methodology: Fifty-one (51) quadrats (20 m 20 m each) were laid along established transect lines for census of perennial plant species. Two nested quadrats (2× m 10 m) were also used at the beginning and at the end of every main quadrat for the assessment of seedlings and saplings.× All woody plant species in each quadrat were counted and identified. Species diversity, richness and evenness were measured. Results: One hundred and thirteen (113) plant species belonging to 89 genera and 54 families were identified. Moreover, there were 7 more species outside the study quadrats. Of these plant species 10 were endemic, 92 were indigenous, and the remaining 11 were exotic cultivated trees and shrubs.
    [Show full text]
  • Woody Species Diversity, Structure and Regeneration Status
    Journal of Natural Sciences Research www.iiste.org ISSN 2224-3186 (Paper) ISSN 2225-0921 (Online) Vol.8, No.5, 2018 Woody Species Diversity, Structure and Regeneration Status in Weiramba Forest of Amhara Region, Ethiopia: Implications of Managing Forests for Biodiversity Conservation Zelalem Teshager 1* Mekuria Argaw 2 Abeje Eshete 1 1.Ethiopian Environment and Forest Research Institute, P.O. Box: 24536, Addis Ababa, Ethiopia 2.Center for Environmental Science, Addis Ababa University, P.O. Box: 1176, Addis Ababa, Ethiopia Abstract This study was conducted in Weiramba Forest, with the aim of determining the composition, structure, diversity and regeneration status of the woody species found in the area. A systematic sampling method was used to conduct the vegetation sampling. In order to collect vegetation data a total of 40 quadrats, each with the size of 10 m x 20 m at an interval of 100 m, were laid along the established transects at 200 m apart. For the assessment of seedling and sapling, two sub-quadrats each with the size of 2 m x 5 m were established at opposite sides of the main quadrat. In each main plot, data on species abundance, height, and Diameter at Breast Height (DBH) of woody plant species and altitude, slope and aspect were recorded. Woody Species Diversity analysis was carried out by using Shannon Weiner index. Results revealed that the total of 32 species representing 28 genera and 20 families were recorded in the forest. The Shannon Weiner diversity index and evenness were resulted to be 2.30 and 0.66, respectively. The population structure revealed in diameter and height class frequency distribution was to be Bell- shape with a very high decrease towards the lower and higher diameter and height classes.
    [Show full text]
  • (SNNPR) Overview of Livelihood Profiles
    Ethiopia Southern Nations, Nationalities and Peoples Region (SNNPR) Overview of Livelihood Profiles SNNPR Follow-On to Regional Livelihoods Baseline Study 2005 This document was produced for review by the United States Agency for International Development. It was prepared by Chemonics International Inc. ETHIOPIA SNNPR FOLLOW-ON TO REGIONAL LIVELIHOODS BASELINE STUDY Contract No. 663-C-00-05-00446-00 The author’s views expressed in this publication do not necessarily reflect the views of the United States Agency for International Development or the United States Government. SNNPR LIVELIHOOD PROFILES Introduction USAID FEWS NET PROJECT Regional Overview Contents Page INTRODUCTION........................................................................................... 1 THE USES OF THE PROFILES .................................................................... 1 KEY CONCEPTS....................................................................................... 2 INTRODUCTION TO THE HOUSEHOLD ECONOMY APPROACH................... 3 WHAT IS IN A LIVELIHOOD PROFILE........................................................ 6 METHODOLOGY ...................................................................................... 7 REGIONAL OVERVIEW............................................................................. 8 INTRODUCTION ....................................................................................... 8 GEOGRAPHY AND CLIMATE .................................................................... 9 RURAL LIVELIHOOD ZONES ...................................................................
    [Show full text]
  • Somalia Livelihood Maps
    Southern Nation, Nationalities and People’s Region, Ethiopia Livelihood Profiles January 2006 USAID FEWS NET ACTIVITY Contents Page INTRODUCTION........................................................................................... 1 THE USES OF THE PROFILES .................................................................... 1 KEY CONCEPTS....................................................................................... 2 INTRODUCTION TO THE HOUSEHOLD ECONOMY APPROACH................... 3 WHAT IS IN A LIVELIHOOD PROFILE........................................................ 6 METHODOLOGY ...................................................................................... 7 REGIONAL OVERVIEW............................................................................. 8 INTRODUCTION ....................................................................................... 8 GEOGRAPHY AND CLIMATE .................................................................... 9 RURAL LIVELIHOOD ZONES .................................................................... 11 RURAL SOURCES OF FOOD AND CASH: MAIN FINDINGS AND IMPLICATIONS ....................................................................... 13 RURAL LIVELIHOOD ZONE SUMMARIES.................................................. 20 Regional Overview 1 Introduction The Livelihood Profiles that follow document how the rural populations of the Southern Nations, Nationalities and Peoples’ Regional State (SNNPR) live. A livelihood is the sum of ways in which households make ends meet from
    [Show full text]
  • Oromia Forested Landscape Program (Oflp) Social Assessment (Sa )
    Strategic Environmental and Social Assessment (SESA) For the Implementation of REDD+ in Ethiopia INCLUDING THE OROMIA FORESTED LANDSCAPE PROGRAM (OFLP) SOCIAL ASSESSMENT (SA ) Ministry of Environment, Forest and Climate Change The National REDD+ Secretariat and Oromia REDD+ Coordination Unit Addis Ababa February 2017 Ministry of Environment, Forest and Oromia Environment, Forest and Climate Climate Change (MEFCC) The National Change Oromia REDD+ Coordination Unit REDD+ Secretariat E-mail: [email protected] , P. O. Box: 12760 Addis Ababa, Ethiopia Telephone: +251-115-58-05-36 Fax: +251-115-58-05-90 Web- https://reddplusethiopia.wordpress.com E-mail: [email protected] Addis Ababa, Ethiopia Project Team members : Sebsebe Demissew (Prof.-Team Leader, Biodiversity Specialist), Zerihun Woldu (Prof.-Vegetation Ecologist), Tamrat Bekele (PhD.- Vegetation Ecologist), Mekuria Argaw (PhD, Environment, Natural Resource Management), Gizaw Ebissa (MSc,-Environmental Analyst), Ketema Abebe (PhD.-Environmental Sociologist), Mellese Madda (PhD- Sociologist), Alemu Mekonen (PhD.-Economist), Ermias Aynekulu (PhD.- GIS Specialist and Vegetation Ecologist), Mellese Damtie (PhD.- Policy Analyst). Executive Summary ................................................................................................................... 1 General Concerns and Recommendations ........................................................................... 11 Environmental Concerns and Recommendations ...............................................................
    [Show full text]
  • Rehabilitation of Indigenous Browse Plant Species Following Exclosure Established on Communal Grazing Lands in South Tigray
    Atsbha et al. Ecological Processes (2019) 8:43 https://doi.org/10.1186/s13717-019-0197-1 RESEARCH Open Access Rehabilitation of indigenous browse plant species following exclosure established on communal grazing lands in South Tigray, Ethiopia, and implication for conservation Tesfay Atsbha*, Solomon Wayu, Nguse Gebretsadkan, Tesfay Gebremariam and Tsgehiwet Giday Abstract Background: Despite the wide use of indigenous browse plant species, there is almost no information on the rehabilitation of indigenous browse species following area exclosure (AE) established on communal grazing lands (CGL) in Southern Tigray. The objectives of this study were to assess the rehabilitation of browse plant species following AE establishment on CGL. A total of 61 and 59 plots of 10 × 10 m2 size were laid down at 50-m intervals along parallel line transects at AE and GCL, respectively. Data collected on vegetation attributes were subjected to analysis of t test (unequal variances) using R-software. Results: The Shannon diversity index of the browse plant species was 1.25 and 0.81 in AE and CGL, respectively (P < 0.001).TheoverallpopulationstructureofbrowseplantspeciesintheAEshowsareverseJ-shapedpopulationcurveand “good” regeneration status, which reveals that the future communities may be sustained. Leaf biomass and basal area of browse plant species were significantly higher in the AE than in CGL (P < 0.001). After exclusion of grazing, AE was found to have positive effects on diversity and aboveground biomass of browse plant species. Conclusions: The study gives an understanding of the diversity, the pattern of population and regeneration of the browse plant species, which may help in the management and conservation of the species.
    [Show full text]
  • Sheka Forest Biosphere Reserve Nomination Form
    UNESCO MAB Programme Sheka Forest Biosphere Reserve Nomination Form UNESCO-MAB National Committee Federal Democratic Republic of Ethiopia September 2011, Addis Ababa Federal Democratic Republic of Ethiopia – Sheka Forest Biosphere Reserve Nomination Form-Sept. 2011 2 Authors : Tadesse Woldemariam Gole, Fite Getaneh Maps : All maps used in this nomination form were prepared for the purpose of this application by Mr. Fite Getaneh, with geospatial data inputs of MELCA-Ethiopia Sheka Branch. Working Party for the Nomination Form: This nomination has been made possible by the Sheka Forest Biosphere Reserve Management Unit, which comprises of: Biosphere Reserve Management Unit members 1. Mr. Haile Kotacho- Sheka Zone Administration, Chairman 2. Mr. Alemu Adasho- Sheka Zone Trade and Industry Zone, Member 3. Mr. Tegegn Berhanu- Sheka Zone Department of Agriculture, Member 4. Mr. Molla Gessesse- Sheka Zone Finance and Economic Development Department, Member 5. Mr. Tadesse Wanano- Sheka Zone Justice Department, Member 6. Mr. Shiferaw Darito, Sheka Zone Development Association, Member 7. Ms. Keria Yasin- MELCA-Ethiopia, Member Nomination Process Coordinators: 1. Mr. Befekadu Refera, MELCA-Ethiopia, Addis Ababa 2. Ms. Keria Yasin, MELCA-Ethiopia, Masha Federal Democratic Republic of Ethiopia – Sheka Forest Biosphere Reserve Nomination Form-Sept. 2011 3 Table of Content PART I: SUMMARY ....................................................................................................................................................... 5 1. PROPOSED
    [Show full text]