DOCSLIB.ORG

Contributing to Scaling up Forest Landscape Restoration in Ethiopia

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Contributing to Scaling up Forest Landscape Restoration in Ethiopia Contributing to scaling up forest landscape restoration in Ethiopia Restoration diagnostic applied in Sodo Guragie (SNNPR) and Meket (Amhara region) woredas Alemayehu Zeleke and Adriana Vidal INTERNATIONAL UNION FOR CONSERVATION OF NATURE Contributing to scaling up forest landscape restoration in Ethiopia Restoration diagnostic applied in Sodo Guragie (SNNPR) and Meket (Amhara region) woredas Alemayehu Zeleke and Adriana Vidal The designation of geographical entities in this publication, and the presentation of the material, do not imply the expression of any opinion whatsoever on the part of IUCN, Norway’s International Climate and Forest Initiative (NICFI) or the Environment, Forest and Climate Change Commission of Ethiopia (EFCCC) concerning the legal status of any country, territory, or area, or of its authorities, or concerning the delimitation of its frontiers or boundaries. The views expressed in this publication do not necessarily reflect those of IUCN, NICFI or EFCCC. The publication was funded by NICFI. IUCN is pleased to acknowledge the support of its Framework Partners who provide core funding: Ministry for Foreign Affairs of Finland; Government of France and the French Development Agency (AFD); the Ministry of Environment, Republic of Korea; the Norwegian Agency for Development Cooperation (Norad); the Swedish International Development Cooperation Agency (Sida); the Swiss Agency for Development and Cooperation (SDC) and the United States Department of State. Published by: IUCN, Gland, Switzerland and IUCN Eastern and Southern Africa Regional Office (ESARO), Nairobi, Kenya Copyright: © 2020 IUCN, International Union for Conservation of Nature and Natural Resources Reproduction of this publication for educational or other non-commercial purposes is authorised without prior written permission from the copyright holder provided the source is fully acknowledged. Reproduction of this publication for resale or other commercial purposes is prohibited without prior written permission of the copyright holder. Citation: Zeleke, A. and Vidal, A. (2020). Contributing to scaling up forest landscape restoration in Ethiopia. Restoration diagnostic applied in Sodo Guragie (SNNPR) and Meket (Amhara region) woredas. Gland, Switzerland: IUCN. Cover photo: Adriana Vidal / IUCN Available from: IUCN, International Union for Conservation of Nature Forest Conservation Programme Rue Mauverney 28 1196 Gland Switzerland Tel +41 22 999 0000 Fax +41 22 999 0002 www.iucn.org/resources/publications Contents List of figures ........................................................................................................................................... iv List of tables ............................................................................................................................................ iv Executive summary ................................................................................................................................... v Acknowledgements .................................................................................................................................. x List of abbreviations and acronyms ........................................................................................................... xi 1. Introduction and overview .................................................................................................................. 1 1.1. Background .............................................................................................................................. 1 1.2. Objectives, methodology and roadmap of the report ................................................................... 2 Part I. Forest landscape restoration in Ethiopia ........................................................................................... 4 2. National context .................................................................................................................................... 4 2.1. Country profile ............................................................................................................................... 4 2.2. Linkages of FLR with Ethiopia’s forest and land-use economy and policies ....................................... 5 Part II. Restoration diagnostic in Sodo Guragie and Meket woredas ............................................................ 9 3. Overview of Sodo Guragie woreda ......................................................................................................... 9 3.1. Biophysical profile .................................................................................................................... 10 3.2. Socioeconomic profile ............................................................................................................. 10 3.3. Restoration diagnostic results - Sodo ....................................................................................... 12 4. Overview of Meket woreda .................................................................................................................. 13 4.1. Biophysical profile .................................................................................................................... 13 4.2. Socioeconomic profile ............................................................................................................. 14 4.3. Restoration diagnostic results - Meket ...................................................................................... 15 5. Analysis of key success factors for FLR in Sodo and Meket .................................................................. 17 5.1. Motivate .................................................................................................................................. 17 5.2. Enable .................................................................................................................................... 26 5.3. Implement ............................................................................................................................... 38 6. Diagnosis summary and recommendations looking forward .................................................................. 44 6.1. Barriers and opportunities ........................................................................................................ 44 6.2. Proposed strategy ................................................................................................................... 46 6.3. Recommended next steps ....................................................................................................... 48 References ............................................................................................................................................. 50 Annex 1. Economic and financial analysis of FLR opportunities – Summary fact sheet ................................ 54 Annex 2. Policies and regulations of relevance to FLR .............................................................................. 62 Annex 3. Validation workshops participants’ lists ...................................................................................... 65 iii List of figures Figure 1: Timeline of the main policies on the forest and land-use sector in Ethiopia ..................................... v Figure 2: Location of Sodo woreda ........................................................................................................... vi Figure 3: Location of Meket woreda .......................................................................................................... vi Figure 4. Forest Landscape Restoration definition and principles ................................................................. 2 Figure 5: Land use-land cover in Sodo woreda (2016-2017). .................................................................... 11 Figure 6: Land use-land cover in Meket (2016-2017). ............................................................................... 15 List of tables Table 1: Land use land cover in Sodo (2016-2017). .................................................................................. 11 Table 2: Land use land cover in Meket (2016-2017). ................................................................................ 15 Table 3: Types of public and private economic benefits of FLR based on land use type and tenure regime – Sodo and Meket woredas ....................................................................................................................... 20 Table 4: Potential FLR stakeholders/institutions in Sodo Woreda ..............................................................35 Table 5: Potential FLR stakeholders/institutions in Meket Woreda ............................................................. 38 iv Contributing to scaling up forest landscape restoration in Ethiopia Executive summary Covering an area of more than 1.2 million km2, and inhabited by 100 million people, Ethiopia is the second-most populous country in Africa. With about 85% of the population living in rural areas, the national economy is heavily dependent on the agriculture sector, accounting for 41% of gross domestic product (GDP). Rain-fed, smallholder farming represents more than 90% of the national agricultural outputs but is also a key driver of forest and land degradation. The pressure to increase crop production has resulted in the expansion of agricultural lands and other overgrazing. Combined with rapid population growth linked to an increased demand for biomass, recurrent
Load more

Recommended publications
  • Districts of Ethiopia
    Region District or Woredas Zone Remarks Afar Region Argobba Special Woreda -- Independent district/woredas Afar Region Afambo Zone 1 (Awsi Rasu) Afar Region Asayita Zone 1 (Awsi Rasu) Afar Region Chifra Zone 1 (Awsi Rasu) Afar Region Dubti Zone 1 (Awsi Rasu) Afar Region Elidar Zone 1 (Awsi Rasu) Afar Region Kori Zone 1 (Awsi Rasu) Afar Region Mille Zone 1 (Awsi Rasu) Afar Region Abala Zone 2 (Kilbet Rasu) Afar Region Afdera Zone 2 (Kilbet Rasu) Afar Region Berhale Zone 2 (Kilbet Rasu) Afar Region Dallol Zone 2 (Kilbet Rasu) Afar Region Erebti Zone 2 (Kilbet Rasu) Afar Region Koneba Zone 2 (Kilbet Rasu) Afar Region Megale Zone 2 (Kilbet Rasu) Afar Region Amibara Zone 3 (Gabi Rasu) Afar Region Awash Fentale Zone 3 (Gabi Rasu) Afar Region Bure Mudaytu Zone 3 (Gabi Rasu) Afar Region Dulecha Zone 3 (Gabi Rasu) Afar Region Gewane Zone 3 (Gabi Rasu) Afar Region Aura Zone 4 (Fantena Rasu) Afar Region Ewa Zone 4 (Fantena Rasu) Afar Region Gulina Zone 4 (Fantena Rasu) Afar Region Teru Zone 4 (Fantena Rasu) Afar Region Yalo Zone 4 (Fantena Rasu) Afar Region Dalifage (formerly known as Artuma) Zone 5 (Hari Rasu) Afar Region Dewe Zone 5 (Hari Rasu) Afar Region Hadele Ele (formerly known as Fursi) Zone 5 (Hari Rasu) Afar Region Simurobi Gele'alo Zone 5 (Hari Rasu) Afar Region Telalak Zone 5 (Hari Rasu) Amhara Region Achefer -- Defunct district/woredas Amhara Region Angolalla Terana Asagirt -- Defunct district/woredas Amhara Region Artuma Fursina Jile -- Defunct district/woredas Amhara Region Banja -- Defunct district/woredas Amhara Region Belessa --
    [Show full text]
  • The Case of Smallholder Farmers at Guba Lafto Woreda, Amhara National Region State, Ethiopia
    VULNERABILITY AND ADAPTATION PRACTICES TO CLIMATE CHANGE: THE CASE OF SMALLHOLDER FARMERS AT GUBA LAFTO WOREDA, AMHARA NATIONAL REGION STATE, ETHIOPIA M.Sc. THESIS TSEGAYE TEMESGEN WONDO GENET COLLEGE OF FORESTRY AND NATURAL RESOURCES, HAWASSA UNIVERSITY, ETHIOPIA JUNE, 2018 VULNERABILITY AND ADAPTATION PRACTICES TO CLIMATE CHANGE: THE CASE OF SMALLHOLDER FARMERS AT GUBA LAFTO WOREDA, AMHARA NATIONAL REGION STATE, ETHIOPIA TSEGAYE TEMESGEN A THESIS SUBMITTED TO THE DEPARTMENT OF CLIMATE SMART AGRICULTURAL LANDSCAPE ASSESMENT, WONDO GENET COLLEGE OF FORESTRY AND NATURAL RESOURCES, SCHOOL OF GRADUATE STUDIES WONDO GENET COLLEGE OF FORESTRY AND NATURAL RESOURCES WONDO GENET, ETHIOPIA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE IN CLIMATE SMART AGRICULTURAL LANDSCAPE ASSESSMENT (SPECIALIZATION: CLIMATE SMART AGRICULTURAL LANDSCAPE ASSESMENT) JUNE, 2018 II Approval sheet1 This is to certify that the thesis entitled “vulnerability and adaptation practices to climate change: the case of smallholder farmers at Guba Lafto woreda, Amhara national region state, Ethiopia” is submitted in partial fulfillment of the requirement for the degree of Master of Sciences with specialization in climate smart agricultural landscape assessment. It is a record of original research carried out by Tsegaye Temesgen Id. No Msc/CSAL/R0012/09, under my supervision; and no part of the thesis has been submitted for any other degree or diploma. The assistance and help received during the courses of this investigation have been duly acknowledged.
    [Show full text]
  • Ethnobotany, Diverse Food Uses, Claimed Health Benefits And
    Shewayrga and Sopade Journal of Ethnobiology and Ethnomedicine 2011, 7:19 http://www.ethnobiomed.com/content/7/1/19 JOURNAL OF ETHNOBIOLOGY AND ETHNOMEDICINE RESEARCH Open Access Ethnobotany, diverse food uses, claimed health benefits and implications on conservation of barley landraces in North Eastern Ethiopia highlands Hailemichael Shewayrga1* and Peter A Sopade2,3 Abstract Background: Barley is the number one food crop in the highland parts of North Eastern Ethiopia produced by subsistence farmers grown as landraces. Information on the ethnobotany, food utilization and maintenance of barley landraces is valuable to design and plan germplasm conservation strategies as well as to improve food utilization of barley. Methods: A study, involving field visits and household interviews, was conducted in three administrative zones. Eleven districts from the three zones, five kebeles in each district and five households from each kebele were visited to gather information on the ethnobotany, the utilization of barley and how barley end-uses influence the maintenance of landrace diversity. Results: According to farmers, barley is the “king of crops” and it is put for diverse uses with more than 20 types of barley dishes and beverages reportedly prepared in the study area. The products are prepared from either boiled/roasted whole grain, raw- and roasted-milled grain, or cracked grain as main, side, ceremonial, and recuperating dishes. The various barley traditional foods have perceived qualities and health benefits by the farmers. Fifteen diverse barley landraces were reported by farmers, and the ethnobotany of the landraces reflects key quantitative and qualitative traits. Some landraces that are preferred for their culinary qualities are being marginalized due to moisture shortage and soil degradation.
    [Show full text]
  • ETHIOPIA - National Hot Spot Map 31 May 2010
    ETHIOPIA - National Hot Spot Map 31 May 2010 R Legend Eritrea E Tigray R egion !ª D 450 ho uses burned do wn d ue to th e re ce nt International Boundary !ª !ª Ahferom Sudan Tahtay Erob fire incid ent in Keft a hum era woreda. I nhabitan ts Laelay Ahferom !ª Regional Boundary > Mereb Leke " !ª S are repo rted to be lef t out o f sh elter; UNI CEF !ª Adiyabo Adiyabo Gulomekeda W W W 7 Dalul E !Ò Laelay togethe r w ith the regiona l g ove rnm ent is Zonal Boundary North Western A Kafta Humera Maychew Eastern !ª sup portin g the victim s with provision o f wate r Measle Cas es Woreda Boundary Central and oth er imm ediate n eeds Measles co ntinues to b e re ported > Western Berahle with new four cases in Arada Zone 2 Lakes WBN BN Tsel emt !A !ª A! Sub-city,Ad dis Ababa ; and one Addi Arekay> W b Afa r Region N b Afdera Military Operation BeyedaB Ab Ala ! case in Ahfe rom woreda, Tig ray > > bb The re a re d isplaced pe ople from fo ur A Debark > > b o N W b B N Abergele Erebtoi B N W Southern keb eles of Mille and also five kebeles B N Janam ora Moegale Bidu Dabat Wag HiomraW B of Da llol woreda s (400 0 persons) a ff ected Hot Spot Areas AWD C ases N N N > N > B B W Sahl a B W > B N W Raya A zebo due to flo oding from Awash rive r an d ru n Since t he beg in nin g of th e year, Wegera B N No Data/No Humanitarian Concern > Ziquala Sekota B a total of 967 cases of AWD w ith East bb BN > Teru > off fro m Tigray highlands, respective ly.
    [Show full text]
  • Modeling Malaria Cases Associated with Environmental Risk Factors in Ethiopia Using Geographically Weighted Regression
    MODELING MALARIA CASES ASSOCIATED WITH ENVIRONMENTAL RISK FACTORS IN ETHIOPIA USING GEOGRAPHICALLY WEIGHTED REGRESSION Berhanu Berga Dadi i MODELING MALARIA CASES ASSOCIATED WITH ENVIRONMENTAL RISK FACTORS IN ETHIOPIA USING THE GEOGRAPHICALLY WEIGHTED REGRESSION MODEL, 2015-2016 Dissertation supervised by Dr.Jorge Mateu Mahiques,PhD Professor, Department of Mathematics University of Jaume I Castellon, Spain Ana Cristina Costa, PhD Professor, Nova Information Management School University of Nova Lisbon, Portugal Pablo Juan Verdoy, PhD Professor, Department of Mathematics University of Jaume I Castellon, Spain March 2020 ii DECLARATION OF ORIGINALITY I declare that the work described in this document is my own and not from someone else. All the assistance I have received from other people is duly acknowledged, and all the sources (published or not published) referenced. This work has not been previously evaluated or submitted to the University of Jaume I Castellon, Spain, or elsewhere. Castellon, 30th Feburaury 2020 Berhanu Berga Dadi iii Acknowledgments Before and above anything, I want to thank our Lord Jesus Christ, Son of GOD, for his blessing and protection to all of us to live. I want to thank also all consortium of Erasmus Mundus Master's program in Geospatial Technologies for their financial and material support during all period of my study. Grateful acknowledgment expressed to Supervisors: Prof.Dr.Jorge Mateu Mahiques, Universitat Jaume I(UJI), Prof.Dr.Ana Cristina Costa, Universidade NOVA de Lisboa, and Prof.Dr.Pablo Juan Verdoy, Universitat Jaume I(UJI) for their immense support, outstanding guidance, encouragement and helpful comments throughout my thesis work. Finally, but not least, I would like to thank my lovely wife, Workababa Bekele, and beloved daughter Loise Berhanu and son Nethan Berhanu for their patience, inspiration, and understanding during the entire period of my study.
    [Show full text]
  • Economic Efficiency of Smallholder Farmers in Barley Production in Meket District, Ethiopia
    Vol. 10(10), pp. 328-338, October 2018 DOI: 10.5897/JDAE2018.0960 Article Number: 12FCF3758529 ISSN: 2006-9774 Copyright ©2018 Journal of Development and Agricultural Author(s) retain the copyright of this article http://www.academicjournals.org/JDAE Economics Full Length Research Paper Economic efficiency of smallholder farmers in barley production in Meket district, Ethiopia Getachew Wollie1*, Lemma Zemedu2 and Bosena Tegegn2 1Department of Economics, College of Business and Economics, Samara University, Ethiopia. 2Department of Agricultural Economics, College of Agriculture and Environmental Sciences, Haramaya University, Ethiopia. Received 10 May, 2018; Accepted 31 July, 2018 This study analyzed the economic efficiency of smallholder farmers in barley production in the case of Meket district, Amhara National Regional State, Ethiopia. A cross sectional data collected from a sample of 123 barley producers during the 2015/2016 production season was used for the analysis. Two stages random sampling method was used to select sample respondents. The translog functional form was chosen to estimate both production and cost functions and OLS estimation method was applied to identify allocative and economic inefficiencies factors, while technical inefficiency factors were analyzed by using single stage estimation approach. The estimated stochastic production frontier model indicated input variables such as fertilizer, human labor and oxen power as significant variables that increase the quantity of barley output, while barley seed had a negative effect. The estimated mean levels of technical, allocative and economic efficiencies of the sample farmers were about 70.9, 68.6 and 48.8%, respectively which revealed the presence of a room to increase their technical, allocative and economic efficiencies level on average by 29.1, 31.4 and 51.2%, respectively with the existing resources.
    [Show full text]
  • Census Data/Projections, 1999 & 2000
    Census data/Projections, 1999 & 2000 Jan - June and July - December Relief Bens., Supplementary Feeding Bens. TIGRAY Zone 1994 census 1999 beneficiaries - May '99 2000 beneficiaries - Jan 2000 July - Dec 2000 Bens Zone ID/prior Wereda Total Pop. 1999 Pop. 1999 Bens. 1999 bens % 2000 Pop. 2000 Bens 2000 bens Bens. Sup. July - Dec Bens July - Dec Bens ity Estimate of Pop. Estimate % of Pop. Feeding % of pop 1 ASEGEDE TSIMBELA 96,115 111,424 114,766 1 KAFTA HUMERA 48,690 56,445 58,138 1 LAELAY ADIYABO 79,832 92,547 5,590 6% 95,324 7,800 8% 11,300 12% Western 1 MEDEBAY ZANA 97,237 112,724 116,106 2,100 2% 4,180 4% 1 TAHTAY ADIYABO 80,934 93,825 6,420 7% 96,639 18,300 19% 24,047 25% 1 TAHTAY KORARO 83,492 96,790 99,694 2,800 3% 2,800 3% 1 TSEGEDE 59,846 69,378 71,459 1 TSILEMTI 97,630 113,180 37,990 34% 116,575 43,000 37% 15,050 46,074 40% 1 WELKAIT 90,186 104,550 107,687 Sub Total 733,962 850,863 50,000 6% 876,389 74,000 8% 15,050 88,401 10% *2 ABERGELE 58,373 67,670 11,480 17% 69,700 52,200 75% 18,270 67,430 97% *2 ADWA 109,203 126,596 9,940 8% 130,394 39,600 30% 13,860 58,600 45% 2 DEGUA TEMBEN 89,037 103,218 7,360 7% 106,315 34,000 32% 11,900 44,000 41% Central 2 ENTICHO 131,168 152,060 22,850 15% 156,621 82,300 53% 28,805 92,300 59% 2 KOLA TEMBEN 113,712 131,823 12,040 9% 135,778 62,700 46% 21,945 67,700 50% 2 LAELAY MAYCHEW 90,123 104,477 3,840 4% 107,612 19,600 18% 6,860 22,941 21% 2 MEREB LEHE 78,094 90,532 14,900 16% 93,248 57,500 62% 20,125 75,158 81% *2 NAEDER ADET 84,942 98,471 15,000 15% 101,425 40,800 40% 14,280 62,803 62% 2
    [Show full text]
  • Ethiopia Round 6 SDP Questionnaire
    Ethiopia Round 6 SDP Questionnaire Always 001a. Your name: [NAME] Is this your name? ◯ Yes ◯ No 001b. Enter your name below. 001a = 0 Please record your name 002a = 0 Day: 002b. Record the correct date and time. Month: Year: ◯ TIGRAY ◯ AFAR ◯ AMHARA ◯ OROMIYA ◯ SOMALIE BENISHANGUL GUMZ 003a. Region ◯ ◯ S.N.N.P ◯ GAMBELA ◯ HARARI ◯ ADDIS ABABA ◯ DIRE DAWA filter_list=${this_country} ◯ NORTH WEST TIGRAY ◯ CENTRAL TIGRAY ◯ EASTERN TIGRAY ◯ SOUTHERN TIGRAY ◯ WESTERN TIGRAY ◯ MEKELE TOWN SPECIAL ◯ ZONE 1 ◯ ZONE 2 ◯ ZONE 3 ZONE 5 003b. Zone ◯ ◯ NORTH GONDAR ◯ SOUTH GONDAR ◯ NORTH WELLO ◯ SOUTH WELLO ◯ NORTH SHEWA ◯ EAST GOJAM ◯ WEST GOJAM ◯ WAG HIMRA ◯ AWI ◯ OROMIYA 1 ◯ BAHIR DAR SPECIAL ◯ WEST WELLEGA ◯ EAST WELLEGA ◯ ILU ABA BORA ◯ JIMMA ◯ WEST SHEWA ◯ NORTH SHEWA ◯ EAST SHEWA ◯ ARSI ◯ WEST HARARGE ◯ EAST HARARGE ◯ BALE ◯ SOUTH WEST SHEWA ◯ GUJI ◯ ADAMA SPECIAL ◯ WEST ARSI ◯ KELEM WELLEGA ◯ HORO GUDRU WELLEGA ◯ Shinile ◯ Jijiga ◯ Liben ◯ METEKEL ◯ ASOSA ◯ PAWE SPECIAL ◯ GURAGE ◯ HADIYA ◯ KEMBATA TIBARO ◯ SIDAMA ◯ GEDEO ◯ WOLAYITA ◯ SOUTH OMO ◯ SHEKA ◯ KEFA ◯ GAMO GOFA ◯ BENCH MAJI ◯ AMARO SPECIAL ◯ DAWURO ◯ SILTIE ◯ ALABA SPECIAL ◯ HAWASSA CITY ADMINISTRATION ◯ AGNEWAK ◯ MEJENGER ◯ HARARI ◯ AKAKI KALITY ◯ NEFAS SILK-LAFTO ◯ KOLFE KERANIYO 2 ◯ GULELE ◯ LIDETA ◯ KIRKOS-SUB CITY ◯ ARADA ◯ ADDIS KETEMA ◯ YEKA ◯ BOLE ◯ DIRE DAWA filter_list=${level1} ◯ TAHTAY ADIYABO ◯ MEDEBAY ZANA ◯ TSELEMTI ◯ SHIRE ENIDASILASE/TOWN/ ◯ AHIFEROM ◯ ADWA ◯ TAHTAY MAYCHEW ◯ NADER ADET ◯ DEGUA TEMBEN ◯ ABIYI ADI/TOWN/ ◯ ADWA/TOWN/ ◯ AXUM/TOWN/ ◯ SAESI TSADAMBA ◯ KLITE
    [Show full text]
  • F-3: Livelihood Improvement Component
    F-3: Livelihood Improvement Component F-4: Activity Sheet of the Verification Project Appendix F: Verification Projects F-4: Activity Sheet of the Verification Projects Table of Contents Page Agricultral Promotion Component ....................................................................................................... F-4-1 Natural Resource Management Component ........................................................................................ F-4-23 Livelihood Improvement Component .................................................................................................. F-4-31 F-4-i Appendix F: Verification Projects F-4: Activity Sheet of the Verification Projects Activity Sheet for JALIMPS Verification Project Agricultural Promotion Component 1: 1. Activity Demonstration/Verification Plot: Primary Crops (15 activities in total) Name 2. Site Ebinate, Simada, Bugena, Gidan, Kobo, Mekedela, Legambo, Aregoba - 2009 meher season: Ebinate, Simada, Bugena, Gidan, Mekedela, Kobo - 2009/10 belg season: Gidan, Mekedela, Legambo - 2010 meher season: Ebinate, Simada, Bugena, Gidan, Kobo 3. Objectives Demonstration/verification of integrated approaches for the improvement of productivity of primary crops & farm land conservation in the watershed. 4. Implementer CRGs under the guidance & supervision of DAs & WAO 5. Beneficiaries CRGs: 34 CRGs formed 34 CRGs x 5 members = 170 members (beneficiaries) 6. Activity Establishment of demonstration/verification plot(s) for the integrated approaches Description for the productivity improvement
    [Show full text]
  • Ethiopia: Amhara Region Administrative Map (As of 05 Jan 2015)
    Ethiopia: Amhara region administrative map (as of 05 Jan 2015) ! ! ! ! ! ! ! ! ! ! Abrha jara ! Tselemt !Adi Arikay Town ! Addi Arekay ! Zarima Town !Kerakr ! ! T!IGRAY Tsegede ! ! Mirab Armacho Beyeda ! Debark ! Debarq Town ! Dil Yibza Town ! ! Weken Town Abergele Tach Armacho ! Sanja Town Mekane Berhan Town ! Dabat DabatTown ! Metema Town ! Janamora ! Masero Denb Town ! Sahla ! Kokit Town Gedebge Town SUDAN ! ! Wegera ! Genda Wuha Town Ziquala ! Amba Giorges Town Tsitsika Town ! ! ! ! Metema Lay ArmachoTikil Dingay Town ! Wag Himra North Gonder ! Sekota Sekota ! Shinfa Tomn Negade Bahr ! ! Gondar Chilga Aukel Ketema ! ! Ayimba Town East Belesa Seraba ! Hamusit ! ! West Belesa ! ! ARIBAYA TOWN Gonder Zuria ! Koladiba Town AMED WERK TOWN ! Dehana ! Dagoma ! Dembia Maksegnit ! Gwehala ! ! Chuahit Town ! ! ! Salya Town Gaz Gibla ! Infranz Gorgora Town ! ! Quara Gelegu Town Takusa Dalga Town ! ! Ebenat Kobo Town Adis Zemen Town Bugna ! ! ! Ambo Meda TownEbinat ! ! Yafiga Town Kobo ! Gidan Libo Kemkem ! Esey Debr Lake Tana Lalibela Town Gomenge ! Lasta ! Muja Town Robit ! ! ! Dengel Ber Gobye Town Shahura ! ! ! Wereta Town Kulmesk Town Alfa ! Amedber Town ! ! KUNIZILA TOWN ! Debre Tabor North Wollo ! Hara Town Fogera Lay Gayint Weldiya ! Farta ! Gasay! Town Meket ! Hamusit Ketrma ! ! Filahit Town Guba Lafto ! AFAR South Gonder Sal!i Town Nefas mewicha Town ! ! Fendiqa Town Zege Town Anibesema Jawi ! ! ! MersaTown Semen Achefer ! Arib Gebeya YISMALA TOWN ! Este Town Arb Gegeya Town Kon Town ! ! ! ! Wegel tena Town Habru ! Fendka Town Dera
    [Show full text]
  • The Federal Democratic Republic of Ethiopia Sustainable Tourism Master Plan 2015 2025
    THE FEDERAL DEMOCRATIC REPUBLIC OF ETHIOPIA SUSTAINABLE TOURISM MASTER PLAN 2015 2025 THE FEDERAL DEMOCRATIC REPUBLIC OF ETHIOPIA SUSTAINABLE TOURISM MASTER PLAN 2015 – 2025 MINISTRY OF CULTURE AND TOURISM Copyright ©2015 United Nations Economic Commission for Africa www.uneca.org All rights reserved. The text and data in this publication may be reproduced as long as the source is cited. Reproduction for commercial purposes is forbidden. Disclaimer This report is the result of the analysis of a study commissioned by the United Nations Economic Commission for Africa (UNECA), Eastern Africa Sub-Region Office (SRO-EA) . However, the report does not purport to represent the views or the official policy of the institution. MAP OF THE FEDERAL DEMOCRATIC REPUBLIC OF ETHIOPIA 5 THE FEDERAL DEMOCRATIC REPUBLIC OF ETHIOPIA TABLE OF CONTENTS Map of the Federal Democratic Republic of Ethiopia 5 List of figures 10 List of tables 11 Foreword 12 Acknowledgement 13 List of acronyms and abbreviations 14 EXECUTIVE SUMMARY 18 1. INTRODUCTION 26 2 SITUATIONAL ANALYSIS 32 2.1 Global Tourism Outlook 32 2.1.1 World Tourism Receipts 35 2.2 The Tourism Industry in Ethiopia 36 2.3 Competitive Analysis of Ethiopia’s Travel and Tourism Industry 37 2.4 Tourism Trends and Markets 40 2.5 The Current Tourism Supply in Ethiopia 45 2.5.1 Tourism Resources and Products 45 2.5.2 Current Tourism Routes and Products 56 2.5.3 Some Segmented Tourism Products 57 2.5.4 Summary of Key Issues 63 2.6 Tourism Marketing and Promotion 63 2.7 Tourism Infrastructure 66 2.7.1 Summary of
    [Show full text]
  • University of Florida Thesis Or Dissertation Formatting Template
    REPRESENTATION, HERITAGE, AND ARCHAEOLOGY AMONG THE WOLAITA OF ETHIOPIA By JUSTIN DUNNAVANT A DISSERTATION PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY UNIVERSITY OF FLORIDA 2017 © 2017 Justin Dunnavant To the life and memory of Warren Dunnavant, Sr. (1953-2011), Professor Mark E. Mack (1961-2012), and Dolores “Bunny” McCullough (1931-2014). ACKNOWLEDGMENTS First, I must acknowledge the support and sacrifice of my friends and family. I give thanks for all that they have done and continue to do to help me to grow as an individual and scholar. Thanks Tiffany Walker for the continued support and encouragement during the extended fieldwork trips and long writing sessions. I would like to thank my committee for the support and guidance throughout the dissertation process. Thanks to Dr. James Davidson for allowing me to participate in the Kingsley Plantation Field School and hone my archaeological field method skills. Dr. Terje Ostebo provided positive critique on the socio-historical context of Ethiopia. Dr. Paul Ortiz served as an academic and personal mentor and demonstrated how academic work is paired with social activism. Finally, I owe a debt of gratitude to Dr. Steven Brandt for extending the initial invitation to come to Ethiopia and giving me the freedom to explore new and interesting questions related to historical archaeology in the country. I am also indebted to him for reading previous drafts of this dissertation in a relatively short time frame and providing critical feedback. I am indebted to all of those in Ethiopia who helped to facilitate my research in Addis Ababa and Wolaita.
    [Show full text]