PFM Baseline Survey Report

Total Page:16

File Type:pdf, Size:1020Kb

PFM Baseline Survey Report SOS Sahel Ethiopia Strengthening Sustainable Livelihoods and Forest Management Programme (SSLFM) Participatory Forest Management Baseline Survey Addis Ababa, April 2011 Contents Acronyms .......................................................................................................................................... 3 Summary of Baseline Findings ........................................................................................................... 4 Background ....................................................................................................................................... 8 Programme Indicators and Research Questions .................................................................................. 9 SSLFM Programme Indicators .......................................................................................................10 Sources of Data, Collection Methods and Sampling ............................................................................12 Sample Size and Sampling Technique ............................................................................................14 PFM Baseline Survey Findings ..........................................................................................................15 AMHARA REGIONAL STATE ....................................................................................................15 BENISHANGUL GUMUZ REGIONAL STATE ........................................................................... 23 OROMIA REGIONAL STATE .....................................................................................................31 SOUTHERN NATIONS’, NATIONALITIES’ AND PEOPLES’ REGIONAL STATE (SNNP) ....... 39 Government Capacity in Participatory Forest Management ............................................................. 47 Participatory Forest Management and Government Policy .............................................................. 47 Constraints and Limitations Faced ................................................................................................... 49 Conclusion .......................................................................................................................................51 Annex 1 : Training Needs Assessment (TNA) : Skills Summaries by Woreda ..................................... 52 Annex 2 : Community-listed definitions of wealth categories .............................................................57 EU Disclaimer : The content presented in this baseline report are the sole responsibility of the programme holders (FARM-Africa and SOS Sahel) and can in no way be taken to reflect the views of the European Union. 2 Acronyms BERSMP Bale Eco-Region Sustainable Management Programme BOARD Board of Agriculture and Rural Development CBO Community-based organization DA Development agent FARM/SOS FARM-Africa and SOS Sahel Ethiopia FMG Forest management group GIS Global information systems GPS Global positioning system HEA Household economic analysis MOA Ministry of Agriculture NRM Natural resource management NTFP Non-timber forest product REDD Reducing emissions from deforestation and degradation PFM Participatory forest management PFRA Participatory forest resource assessment PIA Participatory impact assessment SOS Save our souls [also Help! call-out in Morse Code] SSLFM Strengthening Sustainable Livelihoods and Forest Management TOT Training of trainers TVET Teaching, vocational & educational training TNA Training needs assessment VSLG Village savings-and-loans group Ethiopian administrative divisions --Federal Democratic Republic of Ethiopia ---Regional State (Region) ----Zone -----Woreda (District) ------Kebele (Community) -------Got or Zoni (Community sub-division or hamlet) 3 Summary of Baseline Findings Specific Indicator (taken Findings objectives from logframe) & results Amhara Benishangul-Gumuz Oromia Southern Nations (SNNPR) PFM 7 new forest areas No area was put under PFM No area was put under PFM 12 forest areas (Bale 3 forest areas specific under PFM by end in the programme in the programme mountains, Adaba-Dodolla, objectives of programme intervention zones and intervention zones and Liben, Arero, Yabello, Mojo, (2014) woredas during the baseline woredas during the baseline Belete Gera, Jello Muktar, data collection period data collection period Galema, Suba) Regional No data available on the rate No data available on the rate 3.1% 1.9 % per year in Chena, Bita deforestation of deforestation of deforestation and Gewata arrested Regional forest 155,088.8 ha of forest in the 66,913 ha of forest in the 3.1 million ha (1,201,594 ha 87,300 ha of forest in the project area increased project intervention area project intervention area natural forest, 75,827 ha intervention area (doesn’t plantation) include Chena) PFM Regional No budget allocation for No budget allocation for OFWE allocates some budget No budget allocation for PFM expected governments PFM during the time of the PFM during the time of the to implement PFM related results incorporate PFM baseline survey baseline survey activities. into annual budgets and work plans Regional The available skills on PFM There is a general lack of Oromia as a region has better The TNAs revealed a general governments have are not adequate skill. See PFM-related skills and knowledge and skills on PFM. lack of PFM-related skills and skills and the training need assessment knowledge in all the The TNA conducted in the knowledge in all the programme knowledge to findings programme interventions project intervention areas interventions woredas. See the implement PFM woredas. See the TNA revealed a need for skills TNA summary on the main summary on the main report including forest demarcation, report identification of forest users, preparing forest user agreements, and supporting communities in forest management. See the TNA summary on the main report At least 84 FMGs No FMGs established No FMGs established 335 forest management groups 17 established and active 270,000 ha of No are put under PFM No are put under PFM 267,113 ha of forest in Bale 38,595 ha in Kefa and Sheka natural forest in mountains, Adaba-Dodolla, zones four regions put Liben, Arero, Yabello, Mojo, 14,708 ha in Bita, Chena and under PFM (and Belete Gera, Jello Muktar, Gewata Specific Indicator (taken Findings objectives from logframe) & results Amhara Benishangul-Gumuz Oromia Southern Nations (SNNPR) forest condition Galema, Suba improved) By end of No forest user rights granted No forest user rights granted Data on the number of There are forest management programme, to people or group of people to group of people beneficiaries is not available groups who have got legal right 200,000 people from the regional government to have secure forest- manage, use and live in the forest user rights Specific Indicator (taken Findings objectives from logframe) Amhara Benishangul-Gumuz Oromia Southern Nations (SNNPR) & results Livelihoo Increased % of ds specific NTFP in objective household income Income sources of sample Income sources of 30 hhs in Gidame Woreda sample households in Chena Income sources of 30 sample Income sources of 30 households in Banja Woreda sample hhs in Kumruk Ale Woreda Income sources of 30 sample households in Yeki Fagits Lekoma Woreda Woreda Mao Komo Woreda Wadera Woreda 5 Livelihoo At least 84 NTFP No NTFP enterprise available No NTFP enterprise available Data not available 43 NTFP enterprise in Bita ds enterprises in the project intervention in the project intervention woreda expected established (with areas areas results 50% female members) 240 village No data available No data available Data not available 32 in Yeki and Gewata savings-and-loans sub-groups created, and linked with micro- finance institutions Specific Indicator (taken Findings objectives from logframe) Amhara Benishangul-Gumuz Oromia Southern Nations (SNNPR) & results Policy Federal policy specific incorporates PFM objectives by 2013 Regional policy A draft forest proclamation is There is no official regional The preamble of regulation The SNNPR Forest incorporates PFM under preparation in Amhara forest proclamation in place no. 90/2007 for the Management, Development, and by 2013 Region; according to article establishment of forest Utilization Proclamation No. 13/2, “…Utilization of enterprises in Oromia 77/2004, Article 11/1 states that forests under community Regional State states that “The local people should directly administration is subject to “The forest enterprise is participate in identifying the full agreement of the required to promote the problems associated with community who owns the participation of local afforestation, development, and forest, while a management communities living around preparation of relevant plans.” plan has to be prepared by the forest in forest joint action of relevant kebele protection and In SNNPR, PFM agreements administrators and woreda development activities, and have been made between existing bureau of agriculture.” in sharing the benefits forest management groups / derived from forest cooperatives, and the woreda products…” (district) offices of a programme in Bonga which Farm- Africa/SOS-Sahel has already handed over to the government. Forest access and Federal regulation to provide No readily available regional user rights secured for development, forest policy or proclamation under legal conservation and utilization during the time of the 6 agreements of forests is under make baseline survey. Yet the regional forest proclamation of Benishangul- Gumuz
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]
  • From Dust to Dollar Gold Mining and Trade in the Sudan–Ethiopia Borderland
    From Dust to Dollar Gold mining and trade in the Sudan–Ethiopia borderland [Copy and paste completed cover here} Enrico Ille, Mohamed[Copy[Copy and and paste paste Salah completed completed andcover cover here} here} Tsegaye Birhanu image here, drop from 20p5 max height of box 42p0 From Dust to Dollar Gold mining and trade in the Sudan–Ethiopia borderland Enrico Ille, Mohamed Salah and Tsegaye Birhanu Cover image: Gold washers close to Qeissan, Sudan, 25 November 2019 © Mohamed Salah This report is a product of the X-Border Local Research Network, a component of the FCDO’s Cross- Border Conflict—Evidence, Policy and Trends (XCEPT) programme, funded by UKaid from the UK government. The programme carries out research work to better understand the causes and impacts of conflict in border areas and their international dimensions. It supports more effective policymaking and development programming and builds the skills of local partners. The views expressed do not necessarily reflect the UK government’s official policies. The Rift Valley Institute works in Eastern and Central Africa to bring local knowledge to bear on social, political and economic development. Copyright © Rift Valley Institute 2021. This work is published under a Creative Commons Attribution-NonCommercial-NoDerivatives License (CC BY-NC-ND 4.0) RIFT VALLEY INSTITUTE REPORT 2 Contents Executive summary 5 1. Introduction 7 Methodology 9 2. The Blue Nile–Benishangul-Gumuz borderland 12 The two borderland states 12 The international border 14 3. Trade and mobility in the borderlands 16 The administration of trade relations 16 Constraints on mobility 18 Price differentials and borderland trade 20 Borderland relations 22 4.
    [Show full text]
  • Journal of Critical Reviews SOCIAL CONDITIONS of SHINASHA TRIALS in NORTHWESTERN ETHIOPIA
    Journal of Critical Reviews ISSN- 2394-5125 Vol 7, Issue 9, 2020 SOCIAL CONDITIONS OF SHINASHA TRIALS IN NORTHWESTERN ETHIOPIA 1Abebe Ano Alula, 2Arjun Rao Kuthadi (Ph.D.) 1Ph.D. candidate in Department of History, College of Social Sciences and Art Osmania University, Hyderabad, India 2Professor of History ,Supervisor, Department of History, College of Social Sciences and Art Osmania University, Hyderabad, India Received: 24.03.2020 Revised: 14.04.2020 Accepted: 22.05.2020 Abstract This article is primarily concerned to explore the social conditions of the Shinasha community in northwestern Ethiopia. Shinasha is some of the Indigenous groups with Ca. 60,587 population in Ethiopia, Africa continent, who are living Benishangul-Gumuz Regional State, near the Sudanese borderland. They have different social practices that distinguish them from others. They were part of the historical Gonga people who once lived on edges of the River Abay. Where were the early places of settlement of the Shinasha? What were the Social conditions, social changes and continuity in the Shinasha community? I address these questions by historically juxtaposing with social conditions and its dynamics with my interviews with the key informants and observations of changes in conditions of the Shinasha. This study highlights the geographic and background of the study area. The study tries to focus on the early settlement of the Shinasha and their conquest under imperial rule. It attempted to analyze the social organization of the Shinasha society. The significance of the paper is contributed to the understanding of the Social conditions and social changes and continuity of the Shinasha community in the historical outline.
    [Show full text]
  • Chapter Iii Socio-Economic Characteristics of the Population in Agricultural Households
    CHAPTER III SOCIO-ECONOMIC CHARACTERISTICS OF THE POPULATION IN AGRICULTURAL HOUSEHOLDS 1 INTRODUCTION Population as a producer and consumer is closely related with agriculture. On the one hand, population affects production in general and agricultural outputs in particular by furnishing the required labour. On the other hand, the size of a population and its anticipated growth is the main factor determining food consumption requirements. Regarding the balance between population and consumption, if more people are to be fed than the food or services produced, saving and capital investments will be negatively affected. Moreover, population growth also negatively influences agriculture by putting pressure on the environment, such as water, fertility of land, . etc. Population size further influence productivity mainly through the diversification and specialization of the economy, the size of the market, and the importance of foreign trade. Not only the size, but also the socio-economic characteristics of the population of the agricultural households are important to the agricultural production. Study of the nature of the agricultural sector of a country will not be complete without proper understanding of the socio-economic characteristics of the population engaged in it. The population statistics of the agricultural households can be used to describe the characteristics and distribution of the population in space, its density and degree of concentration, the fluctuation in its rate of growth and the movement from one area to another. Data on population and agriculture will also help in finding out what percentage of resources will be needed at a particular time for the meeting of basic needs of the people and what amount of socially useful and productive labour is available in the country, regardless of whether labour or capital intensive techniques will suit the nation's economy.
    [Show full text]
  • The Socio-Economic and Bio-Cultural Significances of Biodiversity
    Journal of Resources Development and Management www.iiste.org ISSN 2422-8397 An International Peer-reviewed Journal Vol.68, 2020 The Socio-economic and Bio-cultural Significances of Biodiversity Hotspots and Important Habitats in Assosa and Bambasi Woredas of Benshangul Gumuz Regional State, Ethiopia Dereje Mosissa 1* Getnet Terekegn 2 Dereje Abebe 2 Bukayaw Moges 2 Baye Weday 3 Yohannes Tamene 5 1.Ethiopian Biodiversity Institute Assosa Biodiversity Center, Forest and Rangeland Biodiversity Case team 2.Bureau of Environment Land Administration and Investment 3.Bureau of Culture and Tourism Development 4.Bureau of Agriculture and Rural Development Abstract This study was done with the aim of analyzing the socioeconomic and bio-cultural significance of biodiversity of biodiversity hotspot areas in Assosa Zone of Benishangul Gumuz Regional state of Ethiopia. Forests in Ethiopia are threatened by unsustainable uses and conversion to alternative land uses. In spite of the consequences of forest degradation and biodiversity loss and reliance of communities on forests livelihoods, there is little empirical data on the role of biodiversity in livelihoods of the local communities. This study was done in Benishangul Gumuz Regional state, in selected kebeles of Assosa and Bambasi Districts aiming to determin the Socioeconomic and biocultural uses of biodiversity to the local communities living around biodiversity hotspot areas selected. These data were obtained by interviewing 151 households. Forest product market survey was undertaken to determine prices of various forest products for valuation of forest use. Forest income was significant to households contributing 33% of total household income. Fuel wood contributed 50%, food (27%), construction material (48%), and fodder, and thatching material 51% to household forest income.
    [Show full text]
  • Survey of Illegal Plant Genetic Resources Transfer Through Borders of Benishangul Gumuz Regional State, Ethiopia: the Case of Sherkole and Kurmuk Check Points
    Journal of Open Science Publications Plant Science & Research Volume 4, Issue 2 - 2017 © Mosissa D, et al. 2017 www.opensciencepublications.com Survey of Illegal Plant Genetic Resources Transfer through Borders of Benishangul Gumuz Regional State, Ethiopia: The Case of Sherkole and Kurmuk Check Points Research Article Dereje Mosissa1*, Aesho Kefiyalew2 and Degitu Dereso3 1Forest and Rangeland Case team, Asssosa Biodiversity Center, Ethiopian Biodiversity Institute, Ethiopia 2Ethiopian Biodiversity Institute, Genetic Resources Access and Benefit Sharing Directorate, Sherkole-Gizen Custom Check Point Biologist, Ethiopia 3Ethiopian Biodiversity Institute, Genetic Resources Access and Benefit Sharing Directorate, Kurmik Custom Check Point Biologist, Ethiopia *Corresponding author: Dereje Mosissa, Forest and Rangeland Case team, Asssosa Biodiversity Center, Ethiopian Biodiversity Institute, Assosa, Ethiopia, Africa, E-mail: [email protected] Copyright: © Mosissa D et al. 2017. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Article Information: Submission: 02/11/2017; Accepted: 20/12/2017; Published: 29/12/2017 Abstract One of the National Biodiversity Strategy and Action Plan (NBSAP) target to realize the mission of reducing pressures on biodiversity is “reduction of unsustainable utilization of biodiversity and ecosystem services”. Thus ultimately tackles and controls illegal movement of biological resources of the region. Therefore, the objective of this study is to survey the current status, routes, impact, means, involved actors and management of illegal access to genetic resources particularly in Benishangul Gumuz Regional State, Asosa and Metekel Zone. Data were collected from a total of 92 informants selected purposively from Kumruk District and Sherkole (Gizen) district of Asosa Zone governmental officials, community elders, and custom offices.
    [Show full text]
  • BENESHANGUL GUMUZ REGION : Who Does What Where (3W) (As of 29 January 2013)
    (as of 29 January 2013) BENESHANGUL GUMUZ REGION : Who Does What Where (3W) Tigray Afar Amhara L a k e Ta n a Benshangul Gumuz CISP: k Dire Dawa Addis Ababa Hareri CRS: f Gambela Oromia Somali SNNPR Amhara ! Save the Children:l ! Legend SUDAN Guba International Boundary CISP: a ! Regional Boundary Dangura CRS: f Pawe Special Zonal Boundary Woreda Boundary Lake FHI:î l ! CISP: ! f No Intervention/ No Data Save the Children:l CRS: f Metekel Mandura Other Region Farm Africa:/ Save the Children: l IRC: df/k/ Clusters/Sectors ! Save the Children: l a Agriculture Education CRS: k d Farm Africa: / Environment / Sherkole IRC: f ! Kurmuk Wenbera ! Save the Children:l î Food Save the Bulen Children: l l Food Security IRC: Sirba Abay Dibat f Health IRC: f k/ ! Homosha / Nutrition Save the ! Menge Children:j Multisectoral assistance in Asosa / Refugee camps WVE: dl fk e Shelter and Household items Bilidigilu k Water and Sanitation ERCS: :fek Others (Climate Change, GBV, Assosa / Livelihood, etc) FHI: ! î Yaso IRC: k 0 12.5 25 50 km Oxfam GB:a O Bambasi Agalometi WVE: k Creation date:29 Jan. 2013 Map Doc Name: ! Kemashi 14_3W_006_BNG_010313_A4 Sources:CSA(2007 Pop.census SOUTH SUDAN purpose),Humanitarian Partners Maokomo Special Feedback:[email protected] Farm Africa: Kamashi http;//ochaonline.un.org/ethiopia / The boundaries and names shown and the IRC: fk/ Bio Jiganifado designations used on this map do not imply official endorsement or acceptance by the Interventions/Projects at Regional Level MSF France: ! FHI: îf/ dîl United Nations. Farm Africa: Save the Children:j / ! Save the Children:l IRC: df Agencies' locations and Interventions/Projects at Zonal Level ERCS: k area of interventions are IRC: depicted based on the Asosa Zone Metekel Zone ! k Save the Children:j recent available information.
    [Show full text]
  • Pgf2α Induced Estrus Characteristics and Reproduc- Tive Performance of Goats Under Traditional Hus- Bandry System in Benishangul-Gumuz Region
    Ethiopian Veterinary Journal 2017, 21 (1):1-15 PGF2α induced estrus characteristics and reproduc- tive performance of goats under traditional hus- bandry system in Benishangul-Gumuz region Yeshawork Begashaw1* and Alemayehu Lemma2 1. National Animal Health Diagnostic and Investigation Center (NAHDIC), P. O. Box 04, Sebeta, Ethiopia. 2. College of Veterinary Medicine and Agriculture, Addis Ababa University, P. O. Box 34, Debre Zeit, Ethiopia. *Corresponding author: National Animal Health Diagnostic and Investigation Center (NAHDIC), P. O. Box 04, Sebeta, Ethiopia. Email: [email protected] https://dx.doi.org/10.4314/evj.v21i1.1 Abstract PGF2α induced estrus characteristics and reproductive performance of free ranging goats were studied in six districts of Assosa and Metekel zones of the Benishangul-Gumuz region, Ethiopia. Structured questionnaire and a field survey were applied on a total of 200 randomly selected households. The entire goats (n=1073) owned by the households were clinically examined for the pres- ence of any health problem. Records of animal identification, parameters of reproductive performance such as weaning age and age at puberty, litter size, kidding interval (KI), the type of management practice and clinical param- eters were taken on pre-designed format. Further, 40 cycling local breed does were selected and randomly assigned into PGF2α treatment (n=20) and control (n=20) groups to study estrus characteristics. Age at puberty was 6.5±1.22 and 6.7±1.22 months for male and female goats, respectively. The mean (±sd) kid- ding interval was 252.35±31.46 days with a mean (±sd) litter size of 1.6±0.3.
    [Show full text]
  • Humanitarian Requirements Document
    FOCUS ON ETHIOPIA PAGE 1 The net food requirement stands at 450,611 MT, amounting CONTENTS IN THIS ISSUE: to USD 389,327,904. In addition, an estimated 1.2 million • SUMMARY OF THE 2009 HUMANITARIAN beneficiaries will be reached with a net 30,327 MT of REQUIREMENTS DOCUMENT supplementary food that amounts USD 26,202,528. A total • SUMMARY OF DISASTER RISK MANAGEMENT of USD 38,866,337 is requested to respond to non-food • REGIONAL OVERVIEW needs of identified beneficiaries in the health and nutrition, • UPCOMING & ONGOING MEETINGS water and sanitation and agriculture and livestock sectors. Focus on Ethiopia is produced by UN Office for the Coordination of Humanitarian Affairs (OCHA), in collaboration The effects of food insecurity caused by poor performance with other UN agencies and partner NGOs. Focus on of seasonal rains, poor crop production coupled with the Ethiopia provides a monthly overview of humanitarian trends soaring cereal prices posed several humanitarian and activities in Ethiopia, focusing on particular issues of challenges to the lives and livelihoods of many in some interest. Send comments, suggestions and contributions to areas in eastern half of the country. Favourable food [email protected] security prospects are, however, expected in the western meher crop producing areas. HUMANITARIAN REQUIREMENTS DOCUMENT: As the year progresses, any other unanticipated The Government and Humanitarian Partners’ issued a joint emergencies will be addressed through flash appeals or Humanitarian Requirements Document that summarizes contingency plans as appropriate. The overall federal and emergency food and non-food requirements in 2009 regional humanitarian coordination will be undertaken by identified by the multi-agency assessment conducted during Disaster Management and Food Security Sector (DMFSS) November/December 2008.
    [Show full text]
  • Epidemiology of Trypanosomosis in Domestic Ruminants and Donkeys in Asosa Zone, Northwestern Ethiopia: Prevalence and Vectors Involved
    Epidemiology of Trypanosomosis in Domestic Ruminants and Donkeys in Asosa Zone, Northwestern Ethiopia: Prevalence and Vectors Involved Mintesnot Tsegaye, Tafese Hailemariam, Kumela Lelisa and Behablom Meharenet National Institute for the Control and Eradication of Tsetse Fly and Trypanosomosis (NICETT), Akaki Kaliti Sub-city P.O. Box 19917, Addis Ababa, Ethiopia Key words: Asosa, Bambasi, domestic ruminants, Abstract: African animal trypanosomosis is among the donkeys, trypanosomosis, vectors most serious livestock diseases alleviating food sufficiency in Sub-Saharan Africa. Accurate information related to the prevalence, vectors distributions and densities have of great importance in designing the appropriate control and interventions strategies to combat trypanosomosis and its vectors. This study aimed to generate a base line data to implement the trypanosomosis and tsetse control operations. A cross-sectional involved dark phase ground buffy coat technique and deployments of baited traps was conducted from November 2014 to March 2015 in Asosa and Bambasi districts of Asosa Zone, Northwestern Ethiopia. Positive samples were stained by Giemsa’s in thin blood smears, fixed with methanol for 5 min and examined under oil immersion using 100× objectives to identify the species of trypanosomes. Glossina morsitans submorsitans was the only caught tsetse fly species with an apparent density of 5.77 fly/trap/day. Among 42 G. m. submorsitans dissected, five (11.90%) were found to harbor T. congolense (9.52%) and T. vivax (2.38%). The prevalence of trypanosomosis was significantly higher in cattle (8.55%) than in donkeys (2.35%), goats (1.68%) and sheep (0.00%). In all infected study animals, T. congolense was the dominant trypanosome species Corresponding Author: (97.32%); T.
    [Show full text]
  • The Problems of Water Supply in Asosa Woreda Benishangul Gumuz Regional State
    ADDIS ABABA UNIVERSITY COLLEGE OF DEVELOPMENT STUDIES INSTITUTE OF ENVIRONMENT, WATER AND DEVELOPMENT The Problems of Water Supply in Asosa Woreda Benishangul Gumuz Regional State BY ABDULKERIM MUSA MOHAMMED June, 2010 Addis Ababa 1. CHAPTER ONE: Introduction 1.1 Background Water is one of the basic necessities for human survival and socio-economic development. Access to safe water and adequate sanitation is a universal need and basic human right. It is currently estimated that 1.1billion people in the world lack access to potable water supplies and 2.6 billion people lack adequate sanitation (UNICEF, 2004). The global health burden associated with this condition is staggering with an estimated 4000-6000 children dying each day from diseases associated with lack of access to safe drinking water in adequate sanitation and poor hygiene (WSSCC, 20004). The UN Millennium development Goals (MDG) aim to reduce by half the proportion of people with out sustainable access to safe drinking water and basic sanitation by the year 2015. The lack of access to improved drinking water is still a serious problem in many Asia and Africa. In sub-Saharan Africa, only 36% of the population has access to basic sanitation (UNICEF, 2004). To meet the MDG for basic sanitation alone implies that sanitation must be provided for approximately 2.1 billion people from 2002 to 2015. In order to provide toilets for 2.1 billion people over 13 years requires a minimum of 44,300 installations per day for the next 13 years (assuming one toilet for every 10 people).They must not provide "improve" water and "basic" sanitation to those who currently lack these fundamental services but also to ensure that these services provide safe drinking water, adequate quantities of water for health, hygiene, agriculture, development and sustainable sanitation approaches to protect health and environment(WHO, 2000).Water supplies and sanitation were first high lighted on the development agenda about 30 years ago.
    [Show full text]
  • Child Marriage in Ethiopia a Review of the Evidence and an Analysis of the Prevalence of Child Marriage in Hotspot Districts
    Report Child marriage in Ethiopia A review of the evidence and an analysis of the prevalence of child marriage in hotspot districts Elizabeth Presler Marshall, Minna Lyytikainen and Nicola Jones with Andrew Montes, Paola Pereznieto and Bekele Tefera March 2016 This research was conducted by Overseas Development Institute (ODI), contracted by UNICEF in collaboration with the National Alliance to End Child Marriage and FGM in Ethiopia by 2025. UNICEF and ODI hold joint copyright. The opinions expressed in this report are those of the authors and do not necessarily represent the policies or views of UNICEF or ODI. UNICEF Ethiopia UNECA Compound, Zambezi Building Tel: +251115184000 Fax: +251115511628 E-mail:[email protected] www.unicef.org/Ethiopia Overseas Development Institute 203 Blackfriars Road London SE1 8NJ Tel. +44 (0) 20 7922 0300 Fax. +44 (0) 20 7922 0399 E-mail: [email protected] www.odi.org www.odi.org/facebook www.odi.org/twitter Readers are encouraged to reproduce material from ODI Reports for their own publications, as long as they are not being sold commercially. As copyright holder, ODI and UNICEF request due acknowledgement and a copy of the publication. For online use, we ask readers to link to the original resource on the ODI and UNICEF websites. The views presented in this paper are those of the author(s) and do not necessarily represent the views of ODI. © Overseas Development Institute and United Nations Children’s Fund 2015. This work is licensed under a Creative Commons Attribution-NonCommercial Licence (CC BY-NC 3.0). ISSN: 2052-7209 All ODI Reports are available from www.odi.org Cover photo: David Walker, Schoolgirls in Eastern Ethiopia, Oromia Contents 1.
    [Show full text]