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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 -- -
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. -
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. -
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. -
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. -
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 -
Periodic Monitoring Report Working 2016 Humanitarian Requirements Document – Ethiopia Group
DRMTechnical Periodic Monitoring Report Working 2016 Humanitarian Requirements Document – Ethiopia Group Covering 1 Jan to 31 Dec 2016 Prepared by Clusters and NDRMC Introduction The El Niño global climactic event significantly affected the 2015 meher/summer rains on the heels of failed belg/ spring rains in 2015, driving food insecurity, malnutrition and serious water shortages in many parts of the country. The Government and humanitarian partners issued a joint 2016 Humanitarian Requirements Document (HRD) in December 2015 requesting US$1.4 billion to assist 10.2 million people with food, health and nutrition, water, agriculture, shelter and non-food items, protection and emergency education responses. Following the delay and erratic performance of the belg/spring rains in 2016, a Prioritization Statement was issued in May 2016 with updated humanitarian requirements in nutrition (MAM), agriculture, shelter and non-food items and education.The Mid-Year Review of the HRD identified 9.7 million beneficiaries and updated the funding requirements to $1.2 billion. The 2016 HRD is 69 per cent funded, with contributions of $1.08 billion from international donors and the Government of Ethiopia (including carry-over resources from 2015). Under the leadership of the Government of Ethiopia delivery of life-saving and life- sustaining humanitarian assistance continues across the sectors. However, effective humanitarian response was challenged by shortage of resources, limited logistical capacities and associated delays, and weak real-time information management. This Periodic Monitoring Report (PMR) provides a summary of the cluster financial inputs against outputs and achievements against cluster objectives using secured funding since the launch of the 2016 HRD. -
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. -
Artisanal Small-Scale Opal Mining (ASOM) Insecurity in the Delanta
African Security Review ISSN: 1024-6029 (Print) 2154-0128 (Online) Journal homepage: http://www.tandfonline.com/loi/rasr20 Artisanal small-scale opal mining (ASOM) insecurity in the Delanta wereda, Ethiopia: The shifting landscape of multidimensional insecurity in the face of emergent ASOM wealth Muauz Gidey Alemu To cite this article: Muauz Gidey Alemu (2018) Artisanal small-scale opal mining (ASOM) insecurity in the Delanta wereda, Ethiopia: The shifting landscape of multidimensional insecurity in the face of emergent ASOM wealth, African Security Review, 27:1, 61-87, DOI: 10.1080/10246029.2017.1294094 To link to this article: https://doi.org/10.1080/10246029.2017.1294094 Published online: 18 Apr 2018. Submit your article to this journal Article views: 42 View related articles View Crossmark data Full Terms & Conditions of access and use can be found at http://www.tandfonline.com/action/journalInformation?journalCode=rasr20 AFRICAN SECURITY REVIEW, 2018 VOL. 27, NO. 1, 61–87 https://doi.org/10.1080/10246029.2017.1294094 FEATURE Artisanal small-scale opal mining (ASOM) insecurity in the Delanta wereda, Ethiopia: The shifting landscape of multidimensional insecurity in the face of emergent ASOM wealth Muauz Gidey Alemu ABSTRACT KEYWORDS The commencement of opal mining in Ethiopia a decade ago has Artisanal opal mining; attracted the involvement of poor peasants, wealthy traders and insecurity; Wollo-Delanta traffickers. Although the academic and official literature on artisanal opals; anomies; violence small-scale opal mining (ASOM) has primarily focused on the loss of wealth owing to a lack of skill and its traditional nature, this study explores the multidimensional insecurity that the discovery and mining of opal stones in the Delanta wereda of Wollo has brought about. -
Flood Risk Assessment Using Geographic Information System Techniques: in Guba Lafto District, North Wollo Zone, Amhara National Regional State, Ethiopia
Flood Risk Assessment Using Geographic Information System Techniques: In Guba Lafto District, North Wollo Zone, Amhara National Regional State, Ethiopia. Dinku Ebabu Jimma University https://orcid.org/0000-0002-1656-3604 Fikadu Fufa Jimma University Asnake Boyana Arba Minch University Getahun Sisay ( [email protected] ) Debark University, Debark Research Keywords: GIS, MCE, Flood, Flood risk, District, Risk evaluation, Weighted overlay Posted Date: August 17th, 2021 DOI: https://doi.org/10.21203/rs.3.rs-768774/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/33 Abstract Background In Ethiopia, ooding has long been recognized as one of the major environmental perils that often develop into a disaster affecting the lives and livelihoods of people for many years. Assessing ood causative factors and identifying ood risk prone areas are very crucial to minimize the harmful consequences of the hazard on the socio-economic conditions of the environment. Result The causative factors of ooding were developed and converted into raster formats to make them classication-ready. Finally, weighted overlay analysis is used to generate the ood risk areas. Based on key factors, the district was classied in to ve-risk classes namely; very low, low, moderate, high and very high-risk Flooding zones. The major nding of the study prevails that, most areas of the district is at low, moderate and high-risk zones accounts 25.58, 61.41 and 12.81% respectively. Conclusion The ood prone area is mainly found in the eastern and southern parts of the study area based on their LULC type, soil characteristics and nearness to rivers. -
Ethiopia Humanitarian Fund 2016 Annual Report
2016 Annual Report Ethiopia Humanitarian Fund Ethiopia Humanitarian Fund 2016 Annual Report TABLE of CONTENTS Forward by the Humanitarian Coordinator 04 Dashboard – Visual Overview 05 Humanitarian Context 06 Allocation Overview 07 Fund Performance 09 Donor Contributions 12 Annexes: Summary of results by Cluster Map of allocations Ethiopia Humanitarian Fund projects funded in 2016 Acronyms Useful Links 1 REFERENCE MAP N i l e SAUDI ARABIA R e d ERITREA S e a YEMEN TIGRAY SUDAN Mekele e z e k e T Lake Tana AFAR DJIBOUTI Bahir Dar Gulf of Aden Asayita AMHARA BENESHANGUL Abay GUMU Asosa Dire Dawa Addis Ababa Awash Hareri Ji Jiga Gambela Nazret (Adama) GAMBELA A EETHIOPIAT H I O P I A k o b o OROMIA Awasa Omo SOMALI SOUTH S SNNPR heb SUDAN ele le Gena Ilemi Triangle SOMALIA UGANDA KENYA INDIAN OCEAN 100 km National capital Regional capital The boundaries and names shown and the designations International boundary used on this map do not imply official endorsement or Region boundary acceptance by the United Nations. Final boundary River between the Republic of Sudan and the Republic of Lake South Sudan has not yet been determined. 2 I FOREWORD DASHBOARD 3 FOREWORD FOREWORD BY THE HUMANITARIAN COORDINATOR In 2016, Ethiopia continued to battle the 2015/2016 El Niño-induced drought; the worst drought to hit the country in fifty years. More than 10.2 million people required relief food assistance at the peak of the drought in April. To meet people’s needs, the Government of Ethiopia and humanitar- ian partners issued an initial appeal for 2016 of US$1.4 billion, which increased to $1.6 billion in August. -
Woreta-Woldiya Road Project
RP1 36 Volume 8 THE FEDERAL DEMUCRATIC REPUBLIC OF ETHIOPIA Ethiopian Roads Authority Public Disclosure Authorized Preparation of Resettlement Action Plan for Woreta-WoWdiya road ..' Public Disclosure Authorized ~r $ L _ _ _ _ Public Disclosure Authorized *rt f '6b2i :f 4 8USv:2376?I 1. A hb Public Disclosure Authorized RAP; Woreta - Woldiya Final Report Table of Contents LIST OF ABBREVIATIONS ...................................................... 3 1. EXECUTIVE SUMMARY ....................................................... 3 2. DESCRIPTIONS OF PROJECT ROAD . ....................................................11 2.1 Background ....................................................... 11 2.2 Socio-economic Benefit ...................................................... 12 3. LAND ACQUISITION AND RESETTLEMENT PROCEDURES ................... 12 3.1 Scope of Land Acquisition and Resettlement .................................................. 12 Properties to be affected ...................................................... 14 4. SOCIO ECONOMIC CHARACTERISTICS . ..................................................... 20 4.1 Demography ...................................................... 20 4.2 Human and Natural Resources of the Project Areas ........................ ................ 20 4.3 Economic Activity ...................................................... 21 4.4 Implications for the project ................. ...................................... 21 5. POLICY, LEGAL AND INSTITUTIONAL FRAMEWORK .. 22 5.1 Policy Framework ......................................................