Food Supply Prospects - 2009
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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 -- -
Full Length Research Article DEVELOPMENT RESEARCH
Available online at http://www.journalijdr.com International Journal of DEVELOPMENT RESEARCH ISSN: 2230-9926 International Journal of Development Research Vol. 07, Issue, 01, pp.11119-11130, January, 2017 Full Length Research Article DETERMINANTS OF RURAL HOUSEHOLDS’ VULNERABILITY TO POVERTY IN CHENCHA AND ABAYA DISTRICTS, SOUTHERN ETHIOPIA *Fassil Eshetu Abebe Department of Economics, College of Business and Economics, Arba Minch University ARTICLE INFO ABSTRACT Article History: This study primarily aimed to examine the determinants of rural households’ vulnerability to Received 27th October, 2016 poverty and to profile the households according to their level of vulnerability using Feasible Received in revised form Generalized Least Square (FGLS) and Logistic Regression analysis with the help of data collected 28th November, 2016 from a sample of 500 households in two Woredas. The general poverty line of the study area was Accepted 14th December, 2016 determined to be Birr 248 per month per adult equivalent and 29.8 percent of the population in the th Published online 30 January, 2017 study areas were found to be poor. The projected consumption percapita after the three step FGLS estimation revealed that, the incidence of vulnerability to poverty in the area was 34.2 percent and Key Words: therefore, vulnerability was more spread in the study areas than ex post poverty. Using the two Poverty, Vulnerability, vulnerability thresholds, observed poverty rate (0.298) and vulnerability of 0.5, about 28.6%, Feasible Generalized Least Square, 5.6% and 65.8% of households were highly vulnerable, low vulnerable and not vulnerable Logit Model and Ethiopia. respectively. Most importantly, from the total poor households about 81.75%, 3.25% and 15% were highly vulnerable, low vulnerable and not vulnerable respectively. -
Land Use Patterns and Its Implication for Climate Change: the Case of Gamo Gofa, Southern Ethiopia
Defaru Debebe. et al., IJSRR 2013, 2(3), 155-173 Research article Available online www.ijsrr.org ISSN: 2279–0543 International Journal of Scientific Research and Reviews Land Use Patterns and its Implication for Climate Change: The Case of Gamo Gofa, Southern Ethiopia Defaru Debebe* and Tuma Ayele Arba Minch University P.O.Box 21, Arba Minch, Ethiopia ABSTRACT Land is one of three major factors of production in classical economics (along with labor and capital) and an essential input for housing and crop production. Land use is the backbone of agriculture and it provides substantial economic and social benefits. Assessing past-to present land use patterns associated with the crop production helps to understand which climatic effects might arise due to expanding crop cultivation. This study was conducted to evaluate the land use pattern and its implication for climate change in Gamo Gofa, Southern Ethiopia. For evaluation, correlation and time series trend analysis were used. Results revealed that a significant reduction in cultivable land, which was converted into cropland and might increase deforestation and greenhouse gas emission, in turn induce climate change. The correlation between cropland and fertile (cultivable) land (r=0.22674) in 2005 improved to (r=0.75734) in 2012 indicating major shift of fertile land to cropland in seven years interval. On other side, twelve years (1987-1999 and 2000-2011) average maximum temperature difference in Gamo Gafa was increased 0.425oC with standard deviation 0.331. It is statistically significant (t =1.284, alpha=0.10) at 10% level of error. Moreover, the spatial differences in climate change are likely to imply a heterogeneous pattern of land use responses. -
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. -
Hygienic Practice Among Milk and Cottage Cheese Handlers in Districts of Gamo and Gofa Zone, Southern Ethiopia
Research Article Volume 12:2, 2021 Journal of Veterinary Science & Technology ISSN: 2157-7579 Open Access Knowledge; Hygienic Practice among Milk and Cottage Cheese Handlers in Districts of Gamo and Gofa Zone, Southern Ethiopia Edget Alembo* Department of Animal Science, Arba Minch University, Arba Minch, Ethiopia Abstract A cross-sectional questionnaire survey was conducted in Arba Minch Zuria and Demba Gofa districts of Gamo and Gofa Zone of the Southern nation nationalities and people’s regional state with the objectives of assessing knowledge of hygienic practice of milk and cheese handlers in both study area. For this a total of 102 farmers who involved in milking, collecting and retailing of milk were included in the study area. Data obtained from questionnaire survey were analyzed by descriptive statistics and Chi –square test, using the Statistical package for social science (SPSS Version 17). The participants of this study were woman of different age group and 27(52.9%) of participants in Arba Minch Zuria and 32(64.7%) in Demba Gofa were >36 years old. The majority of participants 21(41.2%) and 22(43.1%) were educated up to grade 1-8 in Arba Minch Zuria and Demba Gofa, respectively. This had an impact on hygienic practice of milking and milk handling. The difference in hygienic handling, training obtained and cheese making practice among the study areas were statistically significant (p<0.05). There was also a statistically significant difference in hand washing and utensil as well as manner of washing between the two study areas (p<0.01). Finally this study revealed that there were no variation in Antibiotic usage and Practice of treating sick animal in both study area (p>0.05) with significant difference in Prognosis, Level of skin infection and Selling practice among study participants in both study areas (p<0.05). -
EARS FAST Crop Yield Forecast
EARS FAST Crop Yield Forecast Maize - East Africa - 15 September 2008 Subject: Forecasted Maize Yield Region: East African countries Issuing date: 15 September 2008 INTRODUCTION The present document provides a preliminary forecast of crop yield expected at the end of the current growing season. Forecasts are provided from halfway the growing season (70 growing days). Although at that time the most critical stages of crop development have passed, the final outcome may still be subject to some change depending on how the second half of the season proceeds. Our forecasts are updated regularly with the most recent satellite data and we advise you to check our website (www.ears.nl) for the most recent bulletin. METHOD FAST is the acronym of Food Assessment by Satellite Technology , a Meteosat based crop yield forecasting system developed and operated by EARS in Delft, the Netherlands. The assessment of crop growth conditions and the crop yield forecasts are based on visible and thermal infrared hourly data. These data are processed in 3 steps: (1) Hourly Meteosat data are processed to daily average values of surface temperature, air temperature, global radiation, net radiation, potential and actual evapotranspiration. (2) Radiation and evapotranspiration data enter into a crop growth model, which simulates crop yield on a daily basis. (3) Distributed crop yield results are integrated for crop growing areas, countries and provinces. Urban areas, forest, water and barren land are excluded. CROP The crop calendar in Figure 1 shows the vegetative period (green), the Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec mid-season period (grey) and the BURUNDI sec harvesting period (yellow) for the CENTR AFR REP CHAD countries in the region. -
Transhumance Cattle Production System in North Gondar, Amhara Region, Ethiopia: Is It Sustainable?
WP14_Cover.pdf 2/12/2009 2:21:51 PM www.ipms-ethiopia.org Working Paper No. 14 Transhumance cattle production system in North Gondar, Amhara Region, Ethiopia: Is it sustainable? C M Y CM MY CY CMY K Transhumance cattle production system in North Gondar, Amhara Region, Ethiopia: Is it sustainable? Azage Tegegne,* Tesfaye Mengistie, Tesfaye Desalew, Worku Teka and Eshete Dejen Improving Productivity and Market Success (IPMS) of Ethiopian Farmers Project, International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia * Corresponding author: [email protected] Authors’ affiliations Azage Tegegne, Improving Productivity and Market Success (IPMS) of Ethiopian Farmers Project, International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia Tesfaye Mengistie, Bureau of Agriculture and Rural Development, Amhara Regional State, Ethiopia Tesfaye Desalew, Kutaber woreda Office of Agriculture and Rural Development, Kutaber, South Wello Zone, Amhara Regional State, Ethiopia Worku Teka, Research and Development Officer, Metema, Amhara Region, Improving Productivity and Market Success (IPMS) of Ethiopian Farmers Project, International Livestock Research Institute (ILRI), Addis Ababa, Ethiopia Eshete Dejen, Amhara Regional Agricultural Research Institute (ARARI), P.O. Box 527, Bahir Dar, Amhara Regional State, Ethiopia © 2009 ILRI (International Livestock Research Institute). All rights reserved. Parts of this publication may be reproduced for non-commercial use provided that such reproduction shall be subject to acknowledgement of ILRI as holder of copyright. Editing, design and layout—ILRI Publications Unit, Addis Ababa, Ethiopia. Correct citation: Azage Tegegne, Tesfaye Mengistie, Tesfaye Desalew, Worku Teka and Eshete Dejen. 2009. Transhumance cattle production system in North Gondar, Amhara Region, Ethiopia: Is it sustainable? IPMS (Improving Productivity and Market Success) of Ethiopian Farmers Project. -
Agency Deyr/Karan 2012 Seasonal
Food Supply Prospects FOR THE YEAR 2013 ______________________________________________________________________________ Disaster Risk Management and Food Security Sector (DRMFSS) Ministry of Agriculture (MoA) March 2013 Addis Ababa, Ethiopia Table of Contents Glossary ................................................................................................................. 2 Acronyms ............................................................................................................... 3 EXCUTIVE SUMMARY ............................................................................................. 4 INTRODUCTION.................................................................................................... 11 REGIONAL SUMMARY OF FOOD SUPPLY PROSPECT ............................................. 14 SOMALI ............................................................................................................. 14 OROMIA ........................................................................................................... 21 TIGRAY .............................................................................................................. 27 AMHARA ........................................................................................................... 31 AFAR ................................................................................................................. 34 BENISHANGUL GUMUZ ..................................................................................... 37 SNNP ............................................................................................................... -
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 -
Plant Species and Functional Diversity Along Altitudinal Gradients, Southwest Ethiopian Highlands
Plant Species and Functional Diversity along Altitudinal Gradients, Southwest Ethiopian Highlands Dissertation Zur Erlangung des akademischen Grades Dr. rer. nat. Vorgelegt der Fakultät für Biologie, Chemie und Geowissenschaften der Universität Bayreuth von Herrn Desalegn Wana Dalacho geb. am 08. 08. 1973, Äthiopien Bayreuth, den 27. October 2009 Die vorliegende Arbeit wurde in dem Zeitraum von April 2006 bis October 2009 an der Universität Bayreuth unter der Leitung von Professor Dr. Carl Beierkuhnlein erstellt. Vollständiger Abdruck der von der Fakultät für Biologie, Chemie und Geowissenschaften der Universität Bayreuth zur Erlangung des akademischen Grades eines Doktors der Naturwissenschaften genehmigten Dissertation. Prüfungsausschuss 1. Prof. Dr. Carl Beierkuhnlein (1. Gutachter) 2. Prof. Dr. Sigrid Liede-Schumann (2. Gutachter) 3. PD. Dr. Gregor Aas (Vorsitz) 4. Prof. Dr. Ludwig Zöller 5. Prof. Dr. Björn Reineking Datum der Einreichung der Dissertation: 27. 10. 2009 Datum des wissenschaftlichen Kolloquiums: 21. 12. 2009 Contents Summary 1 Zusammenfassung 3 Introduction 5 Drivers of Diversity Patterns 5 Deconstruction of Diversity Patterns 9 Threats of Biodiversity Loss in the Ttropics 10 Objectives, Research Questions and Hypotheses 12 Synopsis 15 Thesis Outline 15 Synthesis and Conclusions 17 References 21 Acknowledgments 27 List of Manuscripts and Specification of Own Contribution 30 Manuscript 1 Plant Species and Growth Form Richness along Altitudinal Gradients in the Southwest Ethiopian Highlands 32 Manuscript 2 The Relative Abundance of Plant Functional Types along Environmental Gradients in the Southwest Ethiopian highlands 54 Manuscript 3 Land Use/Land Cover Change in the Southwestern Ethiopian Highlands 84 Manuscript 4 Climate Warming and Tropical Plant Species – Consequences of a Potential Upslope Shift of Isotherms in Southern Ethiopia 102 List of Publications 135 Declaration/Erklärung 136 Summary Summary Understanding how biodiversity is organized across space and time has long been a central focus of ecologists and biogeographers. -
2020 Annual Report P.O
Wageningen Centre for Development Innovation Wageningen Centre for Development Innovation supports value creation by Wageningen University & Research strengthening capacities for sustainable development. As the international expertise BENEFIT Partnership – 2020 Annual Report P.O. Box 88 and capacity building institute of Wageningen University & Research we bring 6700 AB Wageningen knowledge into action, with the aim to explore the potential of nature to improve The Netherlands the quality of life. With approximately 30 locations, 6,500 members (5,500 fte) of T +31 (0)317 48 68 00 staff and 12,500 students, Wageningen University & Research is a world leader in its www.wur.eu/cdi domain. An integral way of working, and cooperation between the exact sciences Bilateral Ethiopian-Netherlands Eff ort for Food, Income and Trade Partnership and the technological and social disciplines are key to its approach. Report WCDI-21-136 Dawit Alemu, Irene Koomen, Selome Kebede, Legesse Abate & Mirjam Schaap, Amsalu Ayana, Mohammed Hassena & Gareth Borman, Eyasu Elias & Eric Smaling, Helen Getaw & Monika Sopov, Geremew Terefe & Ted Schrader, Tewodros Tefera & Remko Vonk BENEFIT Partnership – 2020 Annual Report Bilateral Ethiopian-Netherlands Effort for Food, Income and Trade Partnership Dawit Alemu, Irene Koomen, Selome Kebede, Legesse Abate & Mirjam Schaap1 Amsalu Ayana, Mohammed Hassena & Gareth Borman2 Eyasu Elias & Eric Smaling3 Helen Getaw & Monika Sopov4 Geremew Terefe & Ted Schrader5 Tewodros Tefera & Remko Vonk6 1 PCU 2 ISSD 3 CASCAPE 4 ENTAG 5 SBN 6 REALISE Wageningen University & Research Wageningen / Addis Ababa, February 2021 Report WCDI-21-136 Dawit Alemu, Irene Koomen, Selome Kebede, Legesse Abate & Mirjam Schaap, Amsalu Ayana, Mohammed Hassena & Gareth Borman, Eyasu Elias & Eric Smaling, Helen Getaw & Monika Sopov, Geremew Terefe & Ted Schrader, Tewodros Tefera & Remko Vonk, 2021. -
United Nations Country Team Ethiopia
UNITED NATIONS COUNTRY TEAM ETHIOPIA HUMANITARIAN NEEDS OF WAR DISPLACED AND DROUGHT AFFECTED PEOPLE IN TIGRAY United Nations Country Team Rapid Assessment Mission 7-8 April 1999 HUMANITARIAN NEEDS OF WAR DISPLACED AND DROUGHT AFFECTED PEOPLE IN TIGRAY United Nations Country Team Rapid Assessment Mission 7-8 April 1999 SUMMARY OF KEY POINTS § Members of the UN Country Team, together with the DPPC Commissioner and representatives of the regional administration, visited Mekelle, Adigrat, Axum and Shire to assess the condition of the war displaced and drought affected in Tigray. § Currently, the total number of internally displaced in Tigray stands at 315,936 with an additional 14,762 officially registered Ethiopians who have returned to Tigray from Eritrea since the start of the war. Compounding the problem of assisting these people is the condition of localized drought, estimated to be affecting 373,013 additional people in the region. § Most of the displaced are integrated into local communities, although some camp-like settlements have had to be established in view of the large numbers of displaced as compared to hosts. § Priority needs include food, shelter materials, blankets, water, sanitation, education and health facilities in areas hosting the displaced. § Proliferation of landmines in the conflict areas prevents the safe return of many of the displaced. Rehabilitation of destroyed or damaged infrastructure will also eventually be necessary to facilitate return. § Donors and other interested partners are encouraged to evaluate the general needs identified herein in making additional contributions and expediting delivery of relief and rehabilitation assistance to the affected areas. Mission Objectives This mission to Tigray Region, Ethiopia, was undertaken at the request of the UN Resident Coordinator in order to gain a preliminary indication of the current humanitarian situation due to the renewed fighting and the localized drought conditions that Tigray is reported to be currently facing.