DOCSLIB.ORG

Ijara & Hulugho Districts Period: July 2013

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Ijara & Hulugho Districts Period: July 2013 NATIONAL DROUGHT MANAGEMENT AUTHORITY DROUGHT MONITORING BULLETIN: IJARA & HULUGHO DISTRICTS PERIOD: JULY 2013 WARNING STAGES Livelihood Stage Trend Zone Pastoral Alert Worsening Alert Worsening Agro pastoral Formal employment/ Alert Worsening Casual labor Alert Worsening District Seasonal calendar Short Dry Spell Long rains Long dry spell Short rains Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec Milk yield drops High milk yield Low milk availability High milk yield Livestock moves Livestock towards the Livestock moves towards Livestock moves moves traditional wet the fall back dry season towards traditional towards dry grazing areas grazing areas(Boni forest) wet seasons grazing season areas grazing zones High calving, Increased human-wildlife kidding and conflicts Gathering and lambing rates. High mating rates consumption Weaving and High labour demand of wild berries handcrafting Restocking and fruits. activities. Culling of stock Opportunistic crop Herd Restocking and farming separation de-worming Lean period for the pastoralists Lean period for Forage survey the pastoralists Crop farming activities Wedding ceremonies DROUGHT MONITORING BULLETIN, JULY 2013/ IJARA & HULUGHO DISTRICTS Page 1 Situation overview Scattered costal showers were received in some parts of Ijara and Hulugho district in the month under review. These included Hulugho, Ijara, and Sangailu and Bodhai divisions. However , the quantity was too low to make positive impact on pastoral and agro pastoral production Food prices of most essential commodities continued to increase in some areas while others remained the same .The most affected area was Bodhai agro pastoral livelihood because of the poor infrastructure All livestock herds especially cattle were camped in Boni forest and the northern parts of Lamu County. The quality and quantity of browse and pasture continued to decline in all the livelihoods in the month under review. The most affected areas were Warsame , Korisa and Gababa locations The volume of water in major water pans/dams continued to reduce virtually in all the livelihoods .The most affected areas were Warsame and Boni where the water available was anticipated to sustain the communities for two weeks The average prices of cattle increased from Kshs.17, 981.80 in June 2013 to Kshs. 18,060.00 in July 2013 while average price of goat dropped from Kshs. 2,710.60 in preceding month to Kshs 2,547.40 in this reporting month. On the same note the prices of sheep increased from Kshs. 2,222.60 in June 2013 to Kshs 2,348.30 in July 2013. The body condition for all categories of livestock was rated fair in all the livelihoods The percentage of children under 5 years old considered to be at risk of malnutrition based on the Mid Upper Arm Circumference (MUAC) measurement (<135 mm ) significantly increased from 14.07% recorded in June to 16.04% recorded in July 2013. This may have been attributed to low milk production due to poor quality of browse and pasture that did not improve livestock body condition. The average distance from households to water sources increased from 1.45 km in the previous month to 1.61 km in the month July 2013 while average distance between grazing areas increased from 8.91 km in June 2013 to 9.18 km recorded in July 2013. The average time taken by households per water drawing session during the month under review increased from 46 minutes recorded in the previous month to 57 minutes this reporting month of June 2013. Cases of FMD and LSD were reported in Ijara and Sangailu divisions with minimal death .No major livestock disease outbreak reported in the month under review. However Tsetse fly infestation remained a menace in pastoral and agro pastoral livelihoods. No outbreak of human diseases reported Generally, the drought situation in the two districts is at ALERM stage with WORSENING trends. RECOMMENDATIONS TO DISTRICT AUTHORITIES AND KFSSG BY DSG General food distribution to continue and be expanded to cover more beneficiaries. Provide livestock drugs subsidy for farmers especially in the treatment of trypanosomiasis. Introduce Food for Asset programmes to build resilience. Continue supplementary programme for the children under five years old, lactating and pregnant mothers Provision of treated mosquito nets and undertake spraying and fumigation of settled areas. .Promotion of household based water treatment measures as the quality of water continued to worsen because of contamination. Strengthen on-going health outreach services, stockpile drugs and provide adequate number of health personnel and logistics especially at rural health facilities. Intensify livestock vaccination against FMD, SLD, CBPP and CCPP. Continue with the School Meals Programme. Boost distribution of certified seeds, farm implements and promotion of drought tolerant crops varieties for the next season farming DROUGHT MONITORING BULLETIN, JULY 2013/ IJARA & HULUGHO DISTRICTS Page 2 1.0 ENVIRONMENTAL INDICATORS (STABILITY) 1.1.0 Rainfall Scattered costal showers were received in Hulugho, Sangailu, Ijara and Bodhai divisions in the second decade of the month. The rains had minimal impact on livestock production and absolutely no impact on crop production because of low quantity. 1.2.0 Condition of Natural Vegetation and Pasture. The forage condition continued to worsen in all the livelihoods .The browse have dried and withered while pasture have considerably reduced in quality and quantity save for areas adjacent to Boni forest. The worst affected areas were Gababa and Warsame locations where the large stock has moved to Boni forest in search of better pasture and water. The livestock population in both districts were concentrated in Boni forest and there is likelihood of conflict occurring between pastoralists of Ijara and farmers in witu of Lamu over utilization of the resources 1.2.1 Distance to Grazing Areas The distance covered by livestock from concentration camps to grazing areas increased from 8.91 km in the month of June 2013 to 9.18 km in July 2013. The increased distance was as a result of reduced quantity and quality of browse and pasture across all livelihood zones following the onset of the dry spell. 1.3 Water Sources and Availability 1.3.1 Water sources In Ijara district Boni and Warsame locations of Ijara division have water stress that needs urgent intervention. Warsame location was experiencing water stress as the long rains were inadequate to recharge sufficient water in the pans. However, the population was using a small hand dug water pan that was anticipated to last for one week. The quality of the water was poor because of contamination from livestock, domestic and wildlife use posing the risk of communicable diseases outbreak .There were no water treatment chemicals given to the community besides lack of awareness on the importance of boiling the water .On the same note Boni agro pastoral has water stress and currently relaying on natural lagga at a distance of 12km. Similarly Hulugho location has water stress as the quality and quantity of the water available in Hulugho dam drastically reduced. In Masalani division, Gababa location was the most affected where the whole population depending on one communal water pan for domestic use while the livestock trek to River Tana for water and pasture in the riverine area. The trekking distances was 12km. Also korisa in Masalani division, the grazing area was far from the water sources at a distance of 21km. The long trekking distance will have negative impact on the livestock body condition .However, the water available in other parts of the larger Ijara district was estimated to last for two months. The observed trend was not normal when compared with the same period of a normal year season. 1.3.2 Average distance (KMs) to water sources The average distance from households to water sources increased from 1.45 km in the previous month to 1.61 km in the month of July 2013 while average distance between grazing areas and water sources increased from 8.91 km in June 2013 to 9.18 km recorded in July 2013. In Masalani division, Gababa location was the most affected where the livestock trek to River Tana for water and pasture in riverine area at a distance of 12km. Also korisa in Masalani division, the grazing area was far DROUGHT MONITORING BULLETIN, JULY 2013/ IJARA & HULUGHO DISTRICTS Page 3 from the water sources at a distance of 21km. The long trekking distance will have negative impact on the livestock body condition. The observed trend was not normal when compared with the same period of a normal year. The increased distances between the water sources and grazing areas will have negative impact on livestock body condition because of trekking The average time taken by households per water drawing session during the month under review increased from 46 minutes recorded in the previous month to 57 minutes in this reporting month of July 2013.This will have negative impact on the household economy because of reduced time to engage in other productive work 1.4 Emerging issues 1.4.1 Conflicts/ insecurity/human displacement. Most of the livestock in Ijara and Hulugho districts have moved and concentrated in Korani and Wito in Lamu County thus creating tension between the pastoralists and farmers in Lamu. Tension was reported between pastoralists in masalani division and Tana River community over utilization of the river resources. Increased rural urban migration because of loss of livelihood There was insecurity along Kenya and Somalia border that rendered some areas inaccessible. For example Adanwabi agro pastoral could not be accessed during long rains 2013 food security assessment Land grabbing within the Boni forest following the launch of the Lamu port project has increased. Timber lumbering in the Boni forest. 1.4.2 Migration The livestock of Ijara especially cattle was concentrated in Korani and Witu in Lamu County.
Load more

Recommended publications
  • Isolation of Tick and Mosquito-Borne Arboviruses from Ticks Sampled from Livestock and Wild Animal Hosts in Ijara District, Kenya
    VECTOR-BORNE AND ZOONOTIC DISEASES Volume 13, Number X, 2013 ORIGINAL ARTICLE ª Mary Ann Liebert, Inc. DOI: 10.1089/vbz.2012.1190 Isolation of Tick and Mosquito-Borne Arboviruses from Ticks Sampled from Livestock and Wild Animal Hosts in Ijara District, Kenya Olivia Wesula Lwande,1,2 Joel Lutomiah,3 Vincent Obanda,4 Francis Gakuya,4 James Mutisya,3 Francis Mulwa,1 George Michuki,5 Edith Chepkorir,1 Anne Fischer,6 Marietjie Venter,2 and Rosemary Sang1,3 Abstract Tick-borne viruses infect humans through the bite of infected ticks during opportunistic feeding or through crushing of ticks by hand and, in some instances, through contact with infected viremic animals. The Ijara District, an arid to semiarid region in northern Kenya, is home to a pastoralist community for whom livestock keeping is a way of life. Part of the Ijara District lies within the boundaries of a Kenya Wildlife Service–protected conservation area. Arbovirus activity among mosquitoes, animals, and humans is reported in the region, mainly because prevailing conditions necessitate that people continuously move their animals in search of pasture, bringing them in contact with ongoing arbovirus transmission cycles. To identify the tick-borne viruses circulating among these communities, we analyzed ticks sampled from diverse animal hosts. A total of 10,488 ticks were sampled from both wildlife and livestock hosts and processed in 1520 pools of up to eight ticks per pool. The sampled ticks were classified to species, processed for virus screening by cell culture using Vero cells and RT-PCR (in the case of Hyalomma species), followed by amplicon sequencing.
    [Show full text]
  • North Eastern Province (PRE) Trunk Roads ABC Road Description
    NORTH EASTERN PROVINCE North Eastern Province (PRE) Trunk Roads ABC Road Description Budget Box culvert on Rhamu-Mandera B9 6,000,000 A3 (DB Tana River) Garissa - Dadaab - (NB Somali) Nr Liboi 14,018,446 C81 (A3) Modika - (B9) Modogashe 24,187,599 B9 (DB Wajir East) Kutulo - Elwak - Rhamu - (NB Somali) Mandera 11,682,038 Regional Manager Operations of office 4,058,989 Regional Manager RM of Class ABC unpaved structures 725,628 B9 (DB Lagdera) Habaswein - Wajir - (DB Mandera East) Kutulo 31,056,036 C80 (DB Moyale) Korondile - (B9) Wajir 29,803,573 A3 (DB Mwingi) Kalanga Corner- (DB Garissa) Tana River 16,915,640 A3 (DB Mwingi) Kalanga Corner- (DB Garissa) Tana River 90,296,144 North Eastern (PRE) total 228,744,093 GARISSA DISTRICT Trunk Roads ABC Road Description Budget (DB Garissa) Tana River- Garissa Town 21,000,000 Sub Total 21,000,000 District Roads DRE Garissa District E861 WARABLE-A3-D586 2,250,000.00 R0000 Admin/Gen.exp 302,400.00 URP26 D586(OHIO)-BLOCK 4,995,000.00 Total . forDRE Garissa District 7,547,400.00 Constituency Roads Garissa DRC HQ R0000 Administration/General Exp. 1,530,000.00 Total for Garissa DRC HQ 1,530,000.00 Dujis Const D586 JC81-DB Lagdera 1,776,000.00 E857 SAKA / JUNCTION D586 540,000.00 E858 E861(SANKURI)-C81(NUNO) 300,000.00 E861 WARABLE-A3-D586 9,782,000.00 URP1 A3-DB Fafi 256,000.00 URP23 C81(FUNGICH)-BALIGE 240,000.00 URP24 Labahlo-Jarjara 720,000.00 URP25 kASHA-D586(Ohio)-Dujis 480,000.00 URP26 D586(Ohio)-Block 960,000.00 URP3 C81-ABDI SAMMIT 360,000.00 URP4 MBALAMBALA-NDANYERE 1,056,000.00 Total for Dujis Const 16,470,000.00 Urban Roads Garissa Mun.
    [Show full text]
  • Making Peace Under the Mango Tree a Study on the Role of Local Institutions in Conflicts Over Natural Resources in Tana Delta, Kenya
    Making peace under the mango tree A study on the role of local institutions in conflicts over natural resources in Tana Delta, Kenya By Joris Cuppen s0613851 Master Thesis Human Geography Globalisation, Migration and Development Supervisor: Marcel Rutten October 2013 Radboud University Nijmegen ii Abstract In this research, conflicts over natural resources in the Tana Delta and the role of local institutions are central, with a special emphasis on the 2012/2013 clashes. In this region, conflicts between the two dominant ethnic groups, the Orma (who are predominantly herders) and the Pokomo (predominantly farmers), are common. Three types of institutions are involved with conflict management and natural resource management, namely the local administration, village elders, and peace committees. As for other regions in Kenya, the authority of elders has diminished in the past decades, whereas the local administration lacks the authority and capacity to govern the region. Therefore, peace committees can play a vital role in conflict management and natural resource management. The main natural resources which are contested in the Tana delta, are water, pasture, and farmland. Although peace committees seem fairly effective with managing cross-communal conflicts and preventing any further escalation, conflict prevention needs further priority. Cross- communal agreements to manage natural resources have been less and less the case, which is one of the main factors causing conflicts. Engagement of communities in making these agreements should be one of the priorities in the post-clashes Tana delta. As for the 2012/2013 clashes, it is likely that outside interference, either prior or during the conflict, has caused the escalation of violence, which has led to the loss of almost 200 human lives, probably because of a favourable outcome of the elections held in March 2013.
    [Show full text]
  • Economic Analysis of Climate Change Adaptation Strategies at Community Farm-Level in Ijara, Garissa County, Kenya
    ECONOMIC ANALYSIS OF CLIMATE CHANGE ADAPTATION STRATEGIES AT COMMUNITY FARM-LEVEL IN IJARA, GARISSA COUNTY, KENYA JOSEPH MWAURA (MENV&DEV) REG. NO. N85/27033/2011 A THESIS SUBMITTED IN PARTIAL FULFILMENT OF THE REQUIREMENTS FOR THE AWARD OF THE DEGREE OF DOCTOR OF PHILOSOPHY (CLIMATE CHANGE AND SUSTAINABILITY) IN THE SCHOOL OF ENVIRONMENTAL STUDIES OF KENYATTA UNIVERSITY AUGUST, 2015 DECLARATION Declaration by candidate: This thesis is my original work and has not been presented for a degree or award in any other university Signed: ________________________________________Date____________________ Mwaura Joseph M. Reg. No. N85/27033/2011 Department of Environmental Education, Kenyatta University Declaration by supervisors: We confirm that the work reported in this thesis was carried out by the candidate under our supervision Signature__________________________ Date_____________________ Dr James KA Koske Department of Environmental Education, Kenyatta University Signature_____________________________ Date________________ Dr Bett Kiprotich Department of Agribusiness Management and Trade, Kenyatta University ii DEDICATION This thesis is dedicated to Winnie and Helen and to all their age mates. Decisions made today on sustainable adaptation to impacts of climate change and variability mean much more to them. iii ACKNOWLEDGEMENT I owe my indebted gratitude to Dr James Koske and Dr Bett Kiprotich, my supervisors whose assistance, guidance, and patience throughout the study are invaluable. My special thanks go to Dr. John Maingi for reading the thesis and for offering vital insight. Also the technical support accorded me by Mr. Peter Githunguri and Mr. Ronald Nyaseti all of Garissa County is appreciated. Similar gratitude goes to Mr Jamleck Ndambiri, Head N.E region conservancy, Mr Hanshi Abdi regional Director of Environment for logistical and technical support.
    [Show full text]
  • Violent Extremism and Clan Dynamics in Kenya
    [PEACEW RKS [ VIOLENT EXTREMISM AND CLAN DYNAMICS IN KENYA Ngala Chome ABOUT THE REPORT This report, which is derived from interviews across three Kenyan counties, explores the relationships between resilience and risk to clan violence and to violent extrem- ism in the northeast region of the country. The research was funded by a grant from the United States Agency for International Development through the United States Institute of Peace (USIP), which collaborated with Sahan Africa in conducting the study. ABOUT THE AUTHOR Ngala Chome is a former researcher at Sahan Research, where he led a number of countering violent extremism research projects over the past year. Chome has published articles in Critical African Studies, Journal of Eastern Afri- can Studies, and Afrique Contemporine. He is currently a doctoral researcher in African history at Durham University. The author would like to thank Abdulrahman Abdullahi for his excellent research assistance, Andiah Kisia and Lauren Van Metre for helping frame the analysis, the internal reviewers, and two external reviewers for their useful and helpful comments. The author bears responsibility for the final analysis and conclusion. Cover photo: University students join a demonstration condemning the gunmen attack at the Garissa University campus in the Kenyan coastal port city of Mombasa on April 8, 2015. (REUTERS/Joseph Okanga/ IMAGE ID: RTR4WI4K) The views expressed in this report are those of the author alone. They do not necessarily reflect the views of the United States Institute of Peace. United States Institute of Peace 2301 Constitution Ave., NW Washington, DC 20037 Phone: 202.457.1700 Fax: 202.429.6063 E-mail: [email protected] Web: www.usip.org Peaceworks No.
    [Show full text]
  • Pdf | 503.01 Kb
    Government of Kenya KENYA Food Security Outlook Update September 2012 Food security improves, but some pastoral areas of the Northeast still in Crisis (IPC Phase 3) Figure 1. Estimated current food security Key messages outcomes, September 2012 The estimated number of food insecure people declined by 43 percent, from 3.8 million in August 2011 to 2.1 million in August 2012 according to the Kenya Food Security Steering Group (KFSSG). In pastoral livelihood zones, the decline was a 69 percent in August from the previous year and was 31 percent in the southeastern and coastal marginal agricultural zones over the same period. High maize prices in some northeastern pastoral areas and in the southeastern marginal agricultural zone continued to make food access difficult and contributed to Crisis (IPC Phase 3) levels of food insecurity. Conflicts in parts of the northeastern pastoral livelihood zone in Mandera, Tana River, and Wajir Districts, have caused displacements and asset losses. Conflict also limits the ability of traders and humanitarian organizations to supply these areas. The zones of conflict are currently classified in Crisis (IPC Phase 3). Although most pastoral and agropastoral areas are Stressed (IPC Source: FEWS NET Kenya Phase 2) and seemingly stable, malnutrition, particularly in the This map represents acute food insecurity outcomes conflict-prone pastoral areas of the Northeast along the Kenya- relevant for emergency decision-making. It does not Somali border could deteriorate if enhanced October to December necessarily reflect chronic food insecurity. Visit rainfall increases outbreaks of water-borne diseases and heightens www.fews.net/FoodInsecurityScale for more informaoin about the Integrated Food Insecurity Phase Classification the levels of malnutrition.
    [Show full text]
  • Prevalence and Factors Associated with Brucellosis Among Community Members in Mandera County, Kenya
    PREVALENCE AND FACTORS ASSOCIATED WITH BRUCELLOSIS AMONG COMMUNITY MEMBERS IN MANDERA COUNTY, KENYA ABDIRAHMAN S. ABDALLA (BVM) Q57/CT/PT/25167/2011 A RESEARCH THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE AWARD OF THE DEGREE OF MASTER OF PUBLIC HEALTH (EPIDEMIOLOGY AND DISEASE CONTROL) IN THE SCHOOL OF PUBLIC HEALTH OF KENYATTA UNIVERSITY, KENYA APRIL, 2016 ii DECLARATION This thesis is my original work and has not been presented for a degree in any other University or any other award. Signature ………………………………………… Date………………………………… AbdirahmanS. Abdalla (Q57/CTY/PT/25167/2011) Department of Community Health SUPERVISORS We confirm that the work reported in this thesis was carried out by candidate under our supervision as University Supervisors. Signature……………………………………………. Date………………………… Dr. Justus O. S. Osero Department of Community Health Kenyatta University Signature………………………………………………Date………………………… Dr. Peterson N. Warutere Department of Environment and Population Health Kenyatta University iii DEDICATION I dedicate this work to my wife Bishara Abdi Hussein and my two children Abdikhaliq Abdalla and Ayan Abdalla iv ACKNOWLEDGEMENTS I would like to thank my Supervisors Dr Justus Osero and Dr Peterson Warutere and the Chairman, Dept of Community Health of Kenyatta University, Dr. John Paul Oyore for the profound assistance they accorded to me. My sincere gratitude goes to the respondents and community leaders of the study areas who were extremely cooperative and helpful during data collection. I thank Dr. AbdiIle Sakow, and nursing officers Omar DahirElmi, Hassan Muktar and Fartun Adan who assisted in collecting data particularly blood samples from the respondents. I highly recognize the laboratory staff members of Mandera District Hospital for testing blood samples and last but not least, I would like to extend my sincere appreciation to my family Bishara Abdi Husein for greatly supporting me in my work.
    [Show full text]
  • County Drought Contingency Plan Garissa County
    E U COUNTY GOVERNMENT OF GARISSA NDMA COUNTY DROUGHT CONTINGENCY PLAN GARISSA COUNTY FEBRUARY 2014 ACKNOWLEDGEMENTS I wish to acknowledge the efforts of the technical departments who compiled this document. These are • National drought management authority • Agriculture • Livestock • Water • Education • Heath and nutrition • Conflict and peace building • Kenya Red Cross Society I appreciate the efforts and support in planning, undertaking and preparing this documents by the following partners The county Government of Garissa African development solution -ADESSO Veterinary San Frontieres – BELGIUM The success of this work depends upon both the collective and individual representation these stakeholders availed to the preparation of the county drought contingency plan. Dr. Mohamed keinan County Drought Coordinator National Drought Management Authority- Garissa i LIST OF ABBREVIATIONS AND ACRONYMS NDMA- National Drought Management Authority ASAL – Arid and Semi Arid Lands CP- Contingency Plan CSG- County Steering Group DMC- Drought Management Cycle DS – Drought Scenarios KFSSG – Kenya food Security Steering Group MOA- Ministry of Agriculture CG – County Government MOE- Ministry of Education MOLD-Ministry of Livestock Development MOH- Ministry of Health MOW&I – Ministry of Water and Irrigation NG- national Government CTK – Crisis Tool Kit NDCF – National Drought Contingency Fund CDC – County Drought Coordinator CDRO – County Drought Response Officer CRO – County Resilience Officer CO – Chief Officer SOP- Standard operating Procedures DCF- Drought Contingency Fund M&E- Monitoring and Evaluation ii EXECUTIVE SUMMARY The arid and semi-arid lands (ASALs) of Kenya make up more than 80 per cent of the country’s land mass, and are home to more than 30 per cent of the population and nearly half its livestock.
    [Show full text]
  • Garissa County Government Kenya
    1 REPUBLIC OF KENYA GARISSA COUNTY GOVERNMENT COUNTY INTEGRATED DEVELOPMENT PLAN KENYA Towards A Globally Competitive and Prosperous Nation 2 CHAPTER ONE: COUNTY GENERAL INFORMATION 3 1.0 Introduction This chapter gives the background information on the socio-economic and infrastructural information that has a bearing on the development of the county. The chapter provides description of the county in terms of the location, size, physiographic and natural conditions, demographic profiles as well as the administrative and political units. In addition, it provides information on infrastructure and access; land and land use; community organizations/non-state actors; crop, livestock and fish production; forestry, environment and climate change; mining; tourism; employment and other sources of income; water and sanitation; health access and nutrition, education and literacy, trade, energy, housing, transport and communication, community development and Social Welfare. Detailed data is presented in the fact sheet which is given in Appendix I. 1.1 Location and Size Garissa County is one of the three counties in the North Eastern region of Kenya. It covers an area of 44,174.1Km2 and lies between latitude 10 58’N and 20 1’ S and longitude 380 34’E and 410 32’E. The county borders the Republic of Somalia to the east, Lamu County to the south, Tana River County to the west, Isiolo County to the North West and Wajir County to the north. 4 Map 1: Location of Garissa County in Kenya Source: Kenya National Bureau of Statistics, 2013 5 1.2 Physiographic and Natural Conditions 1.2.1 Physical and Topographic Features Garissa County is basically flat and low lying without hills, valleys and mountains.
    [Show full text]
  • Ijara District Environment Action Plan 2009-2013
    REPUBLIC OF KENYA MINISTRY OF ENVIRONMENT AND MINERAL RESOURCES IJARA DISTRICT ENVIRONMENT ACTIONi PLAN 2009-2013 EXECUTIVE SUMMARY The Environmental Management and Coordination Act (EMCA) 1999 provides for the preparation of District Environment Action Plans every five years. This is the first District Environment Action Plan (DEAP) for Ijara district. Preparation of this DEAP was done through a participatory process involving the civil society, private and public sectors. The document has incorporated salient issues from the divisions and it highlights priority themes and activities for the district towards attaining sustainable development. It is divided into eight chapters. Chapter one covers the preamble that highlights provisions for environmental planning as provided for under EMCA, Environmental Acton Planning process that discusses the methodology used in preparation of the DEAP. It also stipulates objectives, scope of this DEAP and challenges for environmental management in the district. It further describes district profile, climate and physical features, population size and distribution and social economic characteristics. Chapter two discusses the district’s environment and natural resources such as soils; land and land use changes; agriculture, livestock and fisheries; water sources; forest and wildlife resources and Biodiversity conservation. Chapter three addresses the human settlements and infrastructure. It covers human settlements and planning; human and environmental health; pollution and wastes generated from human settlements; communication networks; social economic services and infrastructure and energy supply. Chapter four discusses industry trade and services in the district. It highlights major industrial sector that covers agro-based industries, engineering, chemical and mineral industries; trade; service sector; tourism sector; mining and quarrying. Chapter five discusses environmental hazards and disasters.
    [Show full text]
  • TERRORISM THREAT in the COUNTRY A) Security Survey
    TERRORISM THREAT IN THE COUNTRY a) Security Survey In 2011, the threat of terrorism in the country rose up drastically largely from the threat we recorded and the attacks we began experiencing. Consequently, the service initiated a security survey on key installations and shopping malls. The objective was to assess their vulnerability to terrorist attacks and make recommendations on areas to improve on. The survey was conducted and the report submitted to the Police, Ministry of Interior and Ministry of Tourism. Relevant institutions and malls were also handed over the report. Subsequent security surveys have continued to be conducted. As with regard to the Westgate Mall which was also surveyed, the following observations and recommendations were made as per the attached matrix. Situation Report for 21.09.12 - Serial No.184/2012 Two suspected Al Shabaab terrorists of Somali origin entered South Sudan through Djibouti, Eritrea and Sudan and are suspected to be currently in Uganda waiting to cross into Kenya through either Busia or Malaba border points. They are being assisted by Teskalem Teklemaryan, an Eritrean Engineer with residences in Uganda and South Sudan. The duo have purchased 1 GPMG; 4 hand grenades; 1 bullet belt; 5 AK 47 Assault Rifles; unknown number of bullet proof jackets from Joseph Lomoro, an SPLA Officer, and some maps of Nairobi city, indicating that their destination is Nairobi. Maalim Khalid, aka Maalim Kenya, a Kenyan explosives and martial arts expert, has been identified as the architect of current terrorist attacks in the country. He is associated with attacks at Machakos Country Bus, Assanands House in Nairobi and Bellavista Club in Mombasa.
    [Show full text]
  • Figure1: the Map of Kenya Showing 47 Counties (Colored) and 295 Sub-Counties (Numbered)
    BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Global Health Additional file 1: The county and sub counties of Kenya Figure1: The map of Kenya showing 47 counties (colored) and 295 sub-counties (numbered). The extents of major lakes and the Indian Ocean are shown in light blue. The names of the counties and sub- counties corresponding to the shown numbers below the maps. List of Counties (bold) and their respective sub county (numbered) as presented in Figure 1 1. Baringo county: Baringo Central [1], Baringo North [2], Baringo South [3], Eldama Ravine [4], Mogotio [5], Tiaty [6] 2. Bomet county: Bomet Central [7], Bomet East [8], Chepalungu [9], Konoin [10], Sotik [11] 3. Bungoma county: Bumula [12], Kabuchai [13], Kanduyi [14], Kimilili [15], Mt Elgon [16], Sirisia [17], Tongaren [18], Webuye East [19], Webuye West [20] 4. Busia county: Budalangi [21], Butula [22], Funyula [23], Matayos [24], Nambale [25], Teso North [26], Teso South [27] 5. Elgeyo Marakwet county: Keiyo North [28], Keiyo South [29], Marakwet East [30], Marakwet West [31] 6. Embu county: Manyatta [32], Mbeere North [33], Mbeere South [34], Runyenjes [35] Macharia PM, et al. BMJ Global Health 2020; 5:e003014. doi: 10.1136/bmjgh-2020-003014 BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) BMJ Global Health 7. Garissa: Balambala [36], Dadaab [37], Dujis [38], Fafi [39], Ijara [40], Lagdera [41] 8.
    [Show full text]