Afar Pastoralist Development Association(APDA) Identifying pastoralists’ traditional early warning indicators to perk up traditional knowledge and play a part in the existing Early warning System Afar Region ANALYSIS OF TRADITIONAL DROUGHT EARLY WARNING INDICATORS IN USE IN FIVE VILLAGES OF ELIDAAR WOREDA Teshome S. (M.Sc. Agri. Food Sec. & NRM) March, 2012 TABLE OF CONTENTS CONTENT PAGE List of Acronyms………………………………………………………4 Executive Summary…………………………………………………...5 Acknowledgement…………………………………………………….6 1. INTRODUCTION ……………………………………………………...7 1.1 Background ………………………………………………………….7 1.2 Purpose of the study ………………………………………………..8 1.3 Objectives of the study ……………………………………………...8 1.4 Methodology ………………………………………………………...9 2. EW SYSTEMS MODEL AND THEORETCAL BACKGROUND.11 2.1 What is Early Warning……………………………………….……..11 2.2 The four known elements of Early Warning Systems……….…..12 2.3 Components of Early Warning Systems…………………….……13 2.4 Importance & uses of EWS ………………………………….……..14 3. DROUGHT CYCLE MANAGEMENT AND EARLY WARNING SYSTEMS (DEWS)……………………………………………………..14 3.1 Drought Cycle Management……………………………………….14 3.2 Components of DEWS ……………………………………………..17 4. THE EWS SYSTEMS IN ETHIOPIA HISTORICAL BACKGROUND………………………………………………….…...…18 4.1 Establishment of the Formal Early Warning System……………18 4.1.1 Changes that have taken place in disaster prevention & Early Warning……………………………………………..19 4.2 Other food security monitoring systems in Ethiopia……………22 4.3 Different drought response triggering mechanisms…………….25 5. TRADITIONAL KNOWLEDGE IN DROUGHT MANAGEMENT………………………………………………………..25 5.1 Importance of Pastoralists' Indigenous Coping Strategies for Planning Drought Management…………………………………...26 2 6. LIVELIHOOD IN AFAR AND THE TRADIONAL EW SYSTEM …………………………………………………………….…....28 6.1 Livelihood in Afar and the Risks Pastoralists’ face……….……...28 6.2 Pastoral communities of Elidaar ………………………………...…29 6.3 Drought/d. cycle & response action; respondents’ insight…...…30 6.4 Current EWS at Regional and Woreda level………….……..…….31 7. TRADITIONAL EARLY WARNING INDICATORS USED IN ELIDAAR WOREDA ( five village communities consulted).…....33 7.1 Early Warning Indicators (Astronomical) - Movement and Location of the Stars (constellation) …….……………………….…33 7.2 Early Warning (Meteorological indicators; rainfall, pasture / browse, water, crops, availability) …………………………….…...34 7.3 Livestock factors: (body condition, reproduction, milk Production and incidence of diseases)…………….…………..…..35 7.4 Early Warning Indicators related with behavior of birds ……….37 7.5 Early Warning – indicators related with behavior of Insects …...37 7.6 Human factors: (people with special capabilities /pebble throwers /traditional seers/witchcrafts)……………………...…..39 8. TRADITIONAL EWS TO INFORM ZONAL/REGIONAL LEVEL ANALYSIS ……………………………………………………………....44 3 9. PROPOSED WAYS FOR REVIVAL & USE OF TRADITIONAL EARLY WARNING SYSTEMS ………………………..………………45 9.1 Enhanced Early Warning System (EEWS) for drought Management…………………………………………………………..46 10. CONCLUSION AND RECOMMENDATIONS….………………...46 11. REFERENCES …………………………………………………………...49 ACRONYMS A.S.L. B.S.L. BPR CMDRR DRR EW EWS DCM DPPA DPPC DMFS DRMFSS DWEB DMI DEWS DMFSS ENSO EEWS EWRD EWWG FGD EEWS FSPD FSCB Above Sea Level Below Sea Level Business Process Re-engineering Community Managed Disaster Risk Reduction Disaster Risk Reduction Early Warning Early Warning Systems Drought cycle management Disaster Prevention and Preparedness Agency Disaster Prevention and Preparedness Commission Disaster Management and Food Security Sector Disaster Risk Management Food Security Drought Early warning Bulletin Drought Management Initiative Draught Early Warning System Disaster Management and Food Security Sector El Niño - Southern Oscillation Ethiopian Early Warning System, Early Warning and Response Directorate Early Warning Working Group Focused group discussions Enhanced Early Warning System Food Security Program Directorate Food Security Coordination Bureau 4 HEA LIU MoARD NMSA NGO NPDPM RED-FS RRC SL M TEWS TK NRM UNISDR Household Economy Approach Livelihoods Integration Unit Ministry of Agriculture and Rural Development National Meteorological Services Agency Non Governmental Organization National Policy on Disaster Prevention and Preparedness Management Rural Economic Development – Food Security Relief and Rehabilitation Commission Sustainable Land Management Traditional Early Warning systems Traditional Knowledge National Resource Management United Nations International Strategy for Disaster Reduction EXECUTIVE SUMMARY APDA has supported local communities in diverse ways with a number of projects executed in Afar region and in this typical project (‘Promotion of Drought Resilience in the Afar Region’) that is on being executed in Elidaar woreda, among other things, the project is helping local pastoral communities to identify their drought risk profiles and develop disaster management plans. At the same time, there is a corresponding effort to strengthen and revitalize the use of traditional drought early warning systems (DEWS) among pastoral communities in Elidaar woreda. The main thrust in this being the presence of a locally used traditional drought monitoring indicators that can be sorted out to trigger signals and relayed to the relevant institutions for appropriate actions. It is true that Ethiopia has a national drought early warning system that has been applied at all level, and hence Afar Region is also said to have drought early warning system managed by the Regional DRMFSS chained at both ends; to the federal and woreda levels respectively, at one end the woreda reaching the pastoralist communities at grass root level. The Regional DRMFSS Bureau preparing a monthly drought early warning information gathering data sheet that is disseminated to ‘Kebele’ chair persons/stakeholders via the woreda relevant offices (‘kebele’ is the smallest administrative unit), data collected reaching the region to be swiftly analyzed, these again passed on to decision makers for action. Unfortunately getting early warning information back to the communities has been a challenge because of the high illiteracy levels among other issues; besides there is a problem of isolation due to distance and lack of infrastructure. 5 The aforementioned challenges have contributed to low uptake of the EW information leading to insufficient drought preparedness among pastoralists. In seeking ways to strengthen the existing EWS, this study made a choice to revitalizing the use of traditional early warning indicators by interrogating all age sets of local pastoral community members in Elidaar. Analyzing also how the traditional early warning systems (TEWS) of these communities can enrich the Formal EWS that is generated by Regional DRMFSS Bureau which is mainly based on meteorological information. By so doing to increase the uptake of the EW information by pastoralists and call up on the commencement of similar works in other woredas. Thus by undergoing extensive consultation with various stakeholders and communities, Enhanced Early Warning System (EEWS) for drought management is proposed for consideration; the study also put forward the use of local FM radio stations. However, it is important to note at this early stage that the proposed EWS is NOT preordained to replace the existing formal EWSs, but rather a system that is informed by both the formal EW information & the traditional early warning indicators; when all's said and done to increase the uptake of EW information. ACKNOWLEDGEMENTS The gathering of information on Early Warning Indicators based on Traditional Knowledge (TK) & Experiences of Elders, Women & Youth in Elidaar Woreda under the project ‘Promotion of drought resilience in the Afar Region’ was instigated by APDA and Diakonie Katastrophenhilfe - Diakonisches Werk der EKD, Germany (DKH) with the aim of revitalizing its use. The study was conducted in November, 2011 through February, 2012 covering five selected villages of Elidaar Woreda. The writer of this very report wishes to thank all those who contributed during the field visits and final production of this report. These include those people at both Regional and Woreda level who were willing to put aside their busy schedules and share ideas and also for their direct involvement in field data gathering together with the lead partner APDA. Special thanks go to APDA DRR Manager (Abdu Yusuf) and Hussein Ediris and his team in Elidaar for their enthusiasm, support, accompaniment and understanding during the work. The coordination effort and the inputs and thoughts they all put forth were all extremely valuable. Last but not least, my special gratitude go to the pastoral communities in Elidaar woreda who in the midst of their move in search of pasture/browse and water, managed to devote time and share their wealth of 6 knowledge and experience on their own traditional drought Early Warning systems and specific indicators that have kept them going for decades . 1.0. INRODUCTION 1.1 Background People-centered early warning systems are known to empower communities to prepare for and confront the power of natural hazards. They bring safety, security and peace of mind. Early warning systems provide resilience to natural hazards, and protect economic assets and development gains. They help society adapt to and defend against the uncertainties of climate change. Early warning systems are widely recognized as worthwhile and necessary investments. However in many cases, early warning systems do not exist, are ineffective, or break down at critical points – risking devastation, death, and destitution. APDA has been working in Afar region since 1994 APDA is currently implementing a project named ‘Promotion of drought resilience in the Afar Region’ in Elidaar Woreda. The project focuses on development of community disaster management plans as well as strengthening of drought early warning at the Woreda and community levels taking in to account existing traditional drought early warning indicators altogether, for the provision of timely and effective information through identified structures that allow individuals exposed to it to take action to avoid or reduce their risk and prepare for effective response. APDA has been supporting communities in Elidaar to identify their drought risk profiles and develop disaster management plans at the community level. Nevertheless, some gaps have been identified in the way the current EWS is used at community levels. For example, the current system mainly focuses on scientific information to monitor drought despite the 7 presence of a wealth of traditional knowledge among the pastoral communities in dealing with climate variability over the years. Also laying emphasis on the fact that communities need to be helped to see where their traditional indicators are becoming less reliable due to changes in external environmental factors. So by sorting the existing traditional indicators and thoroughly looking at what works; perhaps the current EWS can be enhanced to become more reliable if suitably fused with existing traditional EWS that are still in use by local communities. As traditional knowledge (TK) employs information which is already possessed by the community and which is also valuable to DRR. In Elidaar woreda, the local communities have a history of experience with drought disasters and these communities are assumed to have accumulated a wealth of experience and information regarding prediction, reaction and recovery from drought and this provides a good opportunity for potential partnership with scientific weather prediction initiatives. And this particular study is trying to explore the same. In order to limit the boundaries of the study which is mainly sorting out useful traditional Early Warning (EW) indicators that can reinforce the existing conventional systems and to implore stakeholders who in one way or another need to participate and join hands both at the stage of the planned study execution and at later stages, when major traditional Early warning indicators are finally sorted and flagged for use; the study was conducted by fully involving all stakeholders at Regional, Woreda and the ‘kebele’ levels by sharing productive ideas to enrich the structured questionnaire compiled and also partaking at the scoping stage of the study and actual in-home interview and field data gathering through Focus Group Discussion (FGD), all lead by the leading light APDA. 1.2 Purpose of the Study Established on the need to appreciate traditional early warning systems and drought coping strategies which have helped pastoral communities in Afar region and elsewhere to survive for generations; the purpose of this particular survey is to gather all possible information from elders, the youth and women in Elidaar regarding traditional early warning indicators so as to revive the traditional knowledge and enable pastoralists to involve in the existing EWS, and more in disaster management and risk reduction activities. The results of the study is projected to contribute to building on what communities already know about the risks they face, their knowledge of anticipating the effects of hazards, based on traditional drought indicators; Astronomical guide (movement & location of the stars (constellation); Environmental factors (rainfall, pasture / browse, water, crops, availability and incidence of pests and diseases); Livestock factors: (body condition, reproduction, milk production & incidence of diseases); and Human factors: (resource based conflict, etc) & more for them to explore on time the coping strategies they already know. 8 It is also aimed at strengthening the resilience and self confidence of local communities to cope with drought through recognition and breeding of the traditional early warning practices and values as part of DRR activities. What’s more, precision of EW and consequently drought preparedness efforts among the communities is to be enhanced in the target woreda and more. Generally, the recognition and use of TK is expected to provide improved self confidence for the community & allow it to some how to deal with disasters on its own. 1.3 Objectives of the study To achieve the above purpose, the following is an elucidation of the objectives of the broad assignment: i. To gather information on traditional drought EW knowledge; carry out a scoping analysis to limit boundaries and whom to inevitably involve at all stages of the study and its use in a participatory manner. ii. To gather all information and finally sort out major traditional EW indicators and enhance the linkages of the woreda level drought analysis to the formal EWS which is hardly in use. iii. To learn how people access and interpret early warnings and then apply the lessons to dissemination processes. iv. At the end work on the evolvement of simple, culturally acceptable and timely Radio fm EW messages or other means at local level. 1.4 Methodology In order to formulate the framework of the study, all available relevant literature was critically reviewed at the start. The review mainly focusing on general theoretical background on EWS, studies and practices on EWS, utilization of information generated from EWS, actors and practitioners involved in the implementations of EWS, experiences of different countries on linking EWS generated information for responses and various interventions, mechanisms of disseminating EWS reports and information, etc. The literature review has also included the current Early Warning Systems in Ethiopia in general, and EWS in pastoral areas of the country, in particular. Methods, indicators, their relevance, etc. were also reviewed in association with the pastoral EW monitoring and reporting systems. Information, studies, and other documents from various national and international agencies including web-based EWS resources were reviewed. Besides, the pastoral EWS Reports produced by the Regional DPPBs in collaboration with the SC-UK and other partner agencies were critically reviewed and analyzed. It is very well understood that considerable work is ongoing in terms of integrating livelihoods knowledge into drought management. 9 The strategy used for collecting information on traditional drought EW knowledge in this particular study was in-home interview with a preference to more open-ended questions, although it costs more per interview than other methods; the difficulty in travel time also considered. In the main employing various investigation techniques which included the use of interactive interviews (to all age sets), FGDs, guided semistructured interviews, documentation from oral history, reports, research publications, and past research studies on indigenous knowledge on drought early warning indicators within the region and across; the way of sorting traditional early warning indicators in general, being action oriented, rather than overly analytical, in its approach. The qualitative information collected from the community discussions and key informant interviews as well as case studies and project documents review were consolidated in word by categorizing and summarizing techniques. At first a meeting was held with key people at both the regional level, particularly with those involved in drought management and who to somehow claim on the existence of EWS, before proceeding on exhaustive field visits in Elidaar woreda. At the woreda level also, meetings were held with key stakeholders that included officials from key Government line offices and the local administration and ‘kebele’ chair persons. Their views were sought and analyzed in order to get in-depth understanding of the formal DEWS currently being used. Their views regarding the traditional DEWS and or indicators were also sought before proceeding for further consultations with communities in the field. Then five community sites were selected and visited on the basis of areas targeted in the APDA-Diakonie ongoing DRR interventions. More specifically, the expert had paid a visit to the following five village communities: (1) ‘Kantonera’, (2) ‘Regid ke Afura’, (3) ‘Harsale’, (4) Suula and (5) Gawha ke Gebelti. In each of the five project localities visited, the expert was accompanied by APDA field staff and respective woreda partners on the ground; again the team expanded to include local leaders, ‘kebele’ chair persons and community members from each specific community visited. Extensive FGDs conducted with each group also interviewing individuals in each of the five communities visited. Each meeting ensured adequate inclusion of women, youth and the elderly for their opinions and input these suitably consulted and systematically capturing the findings during the FGD process. The writer of this particular report has also resorted to including interviewees mainly elders, from other woredas appropriately, to enhance the quality of information gathered in Elidaar and hence add to knowledge. The questionnaire: the first part of the questioner (Annex-1) deals with questions related to names of interviewees which are kept optional; the preliminary questions following it intending to understand the particular interviewees educational level and his/her stay in the specified study area for him/her to be able to reflect on life experiences related to drought scenarios and more, in the Woreda. In the preliminary 10 questions, basic inquiries related to drought are also included to weigh individuals’ level of understanding pertaining to the main issue under study (drought and drought early warning). This followed by questions related to effects of drought to individuals, families or communities; these directed to learn who is the first to be affected by drought in the pastoral setting; what will happen when livestock are affected first? Etc. And the most important part of the consultation leading to whether there existed locally, a possibility to know ahead of time, that drought is coming (i.e. Traditional Early Warning systems) all before learning how communities are informed (by making use of traditional indicators) about impending or imminent disaster e.g. drought, etc. At this stage all questions were more elaborated and directed to learning what communities already know about the risks they face, their knowledge of anticipating the effects of hazards, based on the following major factors: A. Early warning (Astronomical) - movement and location of the stars (constellation) B. Environmental factors (rainfall, pasture/browse, water, crops, availability and incidence of pests and diseases); C. Livestock factors (body condition, reproduction, milk production and incidence of diseases); and D. Human factors (resource based conflict, etc) for them to explore the coping strategies they already know. The study report is organized into ten chapters. The first chapter provides a detailed background of the study, purpose and the methodology employed. Chapter 2 looks at EWS model and theoretical background, and summarizes the importance & uses of EWS. Chapter 3 devotes itself to issues related to the components of drought early warning systems (DEWS) and respective EW indicators against the drought cycle concept; Chapter 4 looks at historical background on the establishment of the Formal Early Warning System in Ethiopia and the changes that have taken place in disaster prevention & Early Warning including other food security monitoring systems that existed; highlighting the different drought response triggering mechanisms. Chapter 5 telling on the importance of traditional knowledge in drought management; Chapter 6 presents what livelihood in Afar looks like with particular attention to Elidaar woreda, including the Risks Pastoralists’ face plus the respondents’ insight regarding drought/drought cycle & response actions and an outline of National, Regional and Woreda level EWS. Chapter 7 fully devoted to the details of the traditional early warning indicators sorted from five village communities in Elidaar and the respective adaptive strategies. Chapter 8 examines the key issues that need to be addressed in strengthening the traditional EWS to inform zonal Regional level analysis and more. 11 Chapter 9 discusses proposed ways for revival & use of traditional Early Warning Systems, while chapter 10 presents the study’s conclusions and recommendations. 2. EW SYSTEMS MODEL AND THEORETCAL BACKGROUND 2.1 What is Early Warning When a concept consists of two or more words, it is useful to start by looking at the components. Accordingly, ‘Early’ implies that time is an important factor in the process. Therefore, information should be made available in good time to plan and implement appropriate intervention and prevent human suffering. ‘Warning’, suggests that the information is about an impending danger not for a general knowledge. Therefore, ‘warning’ is signs and signals, including scientific and indigenous indicators, that a hazard is likely to happen and ‘Early warning’ is the provision of timely and effective information, through identified institutions, that allow individuals exposed to a hazard to take action to avoid or reduce their risk and prepare for effective response. Given this background, it is possible to formulate a specific definition as follows: Early warning is a process of monitoring household economy indicators affecting its livelihood with a view to warning of the threat of disaster ahead of time. The warning should in principle trigger timely and appropriate measures. The formal UN definition describes the term Early Warning as: “The provision of timely and effective information, through identifying institutions, that allow individuals exposed to hazard to take action to avoid or reduce their risk and prepare for effective response”. 2.2 The four known elements of Early Warning Systems For the sake of common understanding of Early Warning, the UN Inter-Agency Secretariat of the International Strategy for Disaster Reduction (UN/ISDR) has defined four key elements of an EWS: (1) Risk Knowledge, (2) Monitoring and Warning Service, (3) Dissemination and Communication, and (4) Response Capability; each further described in the following manner; (1) Risk Knowledge - Prior Knowledge of the Risks Faced by Communities: Risks arise from both the hazards and the vulnerabilities that are present. What are the patterns and trends in these factors? Risk assessment and mapping will help to prioritize early warning system needs and to guide preparations for response and disaster prevention activities. Risk assessment could be based on historic experience and human, social, economic, and environmental vulnerabilities. Environmental pressure taken as one of the factors contributing increased risk. 12 (2) Technical Monitoring and Warning Service for These Risks: There is a need for a sound scientific basis for predicting the risks faced. Therefore constant monitoring of possible disaster precursors is necessary to generate accurate warnings in a timely fashion. Multi-hazard approaches must involve various monitoring agencies. (3) Dissemination & Communication of Understandable Warnings to Those at Risk: The warnings need to get to those at risk. Consequently, people at risk need to understand these warnings, which have to contain useful information that enables proper responses. Communication channels from regional to national to community levels have to be pre-identified and it is necessary to have one authoritative voice. (4) Response Capability - Knowledge and Preparedness to Act: it is essential that communities understand their risks; they have to respect the warning service and should know how to react. Building up a prepared community requires participation of formal and informal education sectors, addressing broader concept of risk and vulnerability. In general, disaster reduction is aimed at motivating societies at risk to become engaged in the conscious management of risk and reduction of vulnerability. Determining the need to warn, even issuing an accurate and timely warning, is not the end goal of an early warning system. The ultimate goal is to save lives and property. Therefore early warning needs to become part of a management information system for decisionmaking in the context of Woreda disaster management strategies and particularly the contingency plan. And for strong EWS key actors should include communities, local and regional governments and institutions, national governments and institutions, nongovernmental organizations and donors, the private sector, and science and academic community. 2.3 Components of Early warning systems Good early warning systems need to have strong linkages between the four elements stated above. The major players concerned with the different elements have to meet regularly to ensure they understand all of the other components and what other parties need from them.; Risk scenarios need to be constructed and reviewed and specific responsibilities throughout the four elements are agreed and implemented. Studying past events will help to improve the early warning system. Manuals and procedures needs to be agreed on in consultation with communities. Information material should be distributed to the communities at risk. 13 Operational procedures such as evacuations have to be practiced and tested on a regular basis. Activities involved in an early warning process include; data collection, information development, dissemination methods and action triggering mechanisms. Thus the EWS process should be understood in the context of an integrated and holistic risk management framework (Hab, Asch et al, 2009). Furthermore, cross cutting themes such as good governance, institutional arrangements, multi-hazard approaches to EW, involvement of local communities, gender and cultural diversity are also important and essential in the development, use and determination of the most appropriate EWS (UN/ISDR and EWCIII, 2006). EWS must be able to trigger timely response, for intervening before the crisis point has been reached, to protect livelihoods before lives are threatened, and must be seen to be geared to protect future capacity to subsist as well as ensuring current social well-being of the communities at risk. It should therefore be able to detect localized pockets of severe stress and trigger signals for early action. Behind all of these activities has to bear a solid base of political support, laws and regulations, institutional responsibility, and trained people. Early warning systems need to be established and supported as a matter of policy; preparedness to respond has to be engrained in society; fittingly considering the local knowledge. 2.4. Importance & uses of EWS Early Warning Systems (EWSs) in the pastoral setting are the primary means of detecting timely disaster related stress on livelihoods and of eliciting response (intervention). It is a linkage, which identifies the needs of pastoralists and provides information for decision makers for effective intervention. Practically not limited to traditional early warning indicators, EWS need to put emphasis on the monitoring of markets, rights, assets and opportunities to change livelihoods rather than only on rainfall, forage and crop production. ‘’it is good to use traditional EW indicators as long as they are able to trigger response action, as they customarily used to; if at all these are still working under the dramatically changing global and local environments’’. In general, EW is a process of monitoring various indicators affecting livelihood with a view to warning of the threat of disaster ahead of time. The warning should, in principle, trigger timely and appropriate preventive measures. It is also viewed as a multi-sectoral and multidisciplinary business involving local communities, government agencies, donors and NGOs. 14 In the Hyogo Framework for action 2005-2015, which is the roadmap negotiated by governments at the World Conference on Disaster Reduction in Kobe, Japan in 2005, DRR priority number two is the EWS. In the framework, there are clearly spelt out activities under this priority, which are: Risk assessments, early warning, capacity enhancement and focusing on regional and emerging risks. Outputs of EWS can include: Short to medium term weather forecasts, Prediction of the onset and cessation of a rainy season, Prediction of wet and dry spells, Climatic forecasts and soil moisture monitoring, Outlook for onset of drought. 3. DROUGHT CYCLE MNAGEMENT & EARLY WARNING SYSTEMS (DEWS) 4.1 Drought Cycle Management The concept of Drought Cycle Management (DCM) was developed in Kenya by Jeremy Swift in the mid- 1980s under the EU-funded Turkana Rehabilitation Project. It was adapted by IIRR, Cord-aid and Acacia Consultants in 2004, and is becoming increasingly accepted as the dominant drought management model in East Africa and the Horn. The concept was developed following the realization that conventional responses to drought in the region dealt with development and disaster responses in the same pastoral areas as separate issues. Drought was seen in most cases as a major disaster event in need of ad hoc responses which would inevitably affect development activities and be implemented with costly delays (IIR et al, 2004). In Ethiopia, SC/US and other PLI partners have made the DCM model central to their work. Donors including ECHO and USAID recognize its value, and senior government officials are familiar with the concept. Behnke et al. (2007) recommend earlier that DCM be made a complementary component of the pilot phase of the extension of the Productive Safety Nets Program (PSNP) to pastoral areas, even though drought cycle management is not in the direct remit of the PSNP. In order to implement the model successfully, agencies need to better integrate development and emergency responses. Currently, however, there remains a rigid separation between the different elements of the system. DCM as an approach has brought a shift in the approach of disaster management. The shift include from the conventional top-down to bottom-up, from centralized to local diversity, from blue prints to a learning process. In all these shifts, the emphasis is that, community play a critical and decisive role in disaster management. Past disaster management efforts did not focus on community participation, nor were such efforts institutionalized. By contrast, DCM focuses on community participation as central to 15 risk management, as it ensures local ownership; addresses local issues, and promotes social cohesion and mutual help. There are no instant answers, nor blanket solutions, which DCM prescribes from the outset. Rather, it facilitates and builds the capacity of communities to understand their situation, assess their assets and strengths, and identify and define priority projects that can address risks affecting their livelihood. All in all, EW indicators & interventions which may be proposed further in contingency plans and the actual external agencies response are all designed using the stage of the drought cycle that can be divided into four broad phases: 1) Normal (Phase I): rainfall failure causes a sharp drop in available feed resources over a wide area. In spite of long distance movements to find grazing livestock condition deteriorates. Milk yields decline, disease incidence increases and the more vulnerable animals, such as the young and very old animals, begin to die. In order to buy grain livestock owners take their non-reproductive animals to market, but as supply quickly exceeds demand livestock prices plummet. 2) Alert (Phase II): the drought intensifies and more and more animals become emaciated and die. Livestock owners try to sell their reproductive as well as nonreproductive stock. Cattle and sheep are especially affected. By the time they are brought to market they are in poor condition. Livestock prices continue to fall. At the same time grain prices rise steeply. Cereal prices may soar in quadruple, while livestock prices crash to next to nothing. Herd owners increasingly turn to famine foods and other income generating activities e.g. charcoal production if they live near a town, to survive. 3) Emergency (Phase III): of the drought human disease becomes a major problem. People become too weak to look after their animals. Many try to migrate to local towns. The more vulnerable sections of the community -the very young and oldbegin to die. In the meantime the livestock population crashes. Only the camels and goats survive. 4) Recovery (Phase IV): the drought recovery is underway. The rains return and fodder production improves, yet livestock numbers remain well below the level which could make effective use of the range. After the first heavy rains livestock especially may become vulnerable to pneumonia. As post-drought harvests start coming in cereal prices fall, while the price of animals starts to rise rapidly, given the shortage of animals. Many poorer households will have been forced out of the livestock sector & will be surviving in peri-urban settlements or relief camps. Effective drought cycle management calls for appropriate actions to prepare for drought, manage its impacts and assist affected households to recover. Ideally, the system should include the following (adapted from Behnke et al.,): • strong institutional, management and coordination structures at all levels; • effective EW & information systems which this particular study emphasizes; • drought contingency planning at all levels; 16 • • easily accessible drought contingency funds at central, zonal and/or woreda level; the capacity to implement timely drought response measures and to provide support to drought recovery interventions. DCM was designed to identify appropriate activities for each of the four phases of the drought cycle: normal, alert, emergency and recovery. Given the difficulty in strictly differentiating between the four phases, recent discussions of the DCM models emphasize the importance of flexibility in the selection of activities. 3.1 Components of DEWS Drought is a slow-onset hazard, which provides time to consider and address its complex root causes, such as understanding people’s vulnerabilities and identifying unsafe conditions related to poverty, fragile local economy, livelihoods at risk, lack of strategies and plans, limited institutional capacities and resources. Understanding these issues allows government authorities and the public to undertake effective drought mitigation and preparedness measures. So the EWS must have the capacity to detect the early emergence of rainfall deficiencies, which is normally the best indicator of incipient drought periods. It is necessary for effective DEWS to integrate precipitation and other climatic parameters with water information such as stream flow and soil moisture into a comprehensive assessment of current and future drought and water supply conditions. With minimum orientation, apparently this sort of information easily availed by local communities themselves local knowledge owned added on. Thus, DEW needs simple but dynamic methods and empirical evidence. Since drought creeps in slowly, it is difficult to 17 quantify and therefore needs multidisciplinary variables/indices and the monitoring of the whole range of sectors: agriculture, water, health, energy among others. The current early warning indicators data collection and use encompass: Crop condition: seasonal Pasture condition: seasonal Rain: Seasonal assessment, regular assessment of meteorological station reports Disease incidence: both human and animal Livestock market: Seasonal/monthly/weekly Crop market: weekly assessment Wild life behavior: occasional Others/………………. As monitoring and EWs provide the foundation for an effective and responsive drought mitigation plan; typical drought plans normally contain three basic components; monitoring and EW, Risk assessment; and Mitigation & response. The drought plan however, must rely on accurate and timely assessments to trigger contingency and emergency response programs. Thus, DEWS do not work alone and it requires the presence of proactive community, drought contingency plans and a reliable source of “adequate funding (drought contingency funds)’’ in order to ensure timely execution of emergency response interventions to ensure realistic impact on the lives of the pastoralists. It is also important that input from end users should be implored (i.e. their traditional knowledge) to better understand their information needs. 4. THE EWS SYSTEMS IN ETHIOPIA HISTORICAL BACKGROUND 4.1 Establishment of the Formal Early Warning System At a time when Ethiopia had no early warning system, migration was used as the key (late) indicator for the presence of famine and accounts of famine were passed to the central government through rumors and informal reports by the local police and administrators. Previous Ethiopian governments were also sluggish in their responses to disasters due to lack of adequate information, resources, and political will. Response was very late and lives were lost. Food aid used to be thrown from the air to the most affected areas, as was the case during the 1973/74 famine. A formal famine early warning system was established following the 1973/74 famine that killed upwards of two hundred thousand Ethiopian peasants (Kaplan 1988, 24). 18 In 1976, the military government (which ruled from 1974 to 1991) established the Relief and Rehabilitation Commission or RRC. Its task was to assess the food needs of the country and to mobilize resources. It used to advise the government and international donors about Ethiopia's food balance, the number of people at risk, and identification of vulnerable regions. The Ethiopian Early Warning System (EEWS, was set up in 1977 within the then Relief and Rehabilitation Commission (RRC). RRC was renamed again as the Commission for Disaster Prevention and Preparedness or (DPPC) in 1995. The DPPC used to receive information from the Ministry of Agriculture, the NMSA, the Ethiopian Nutrition Institute, and the Central Statistics Authority. The Ethiopian NMSA practicing the same to these days collects and distributes agroclimatic information such as rainfall, temperature, water balance, and sunshine of the country. NMSA disseminates "flash reports" and seasonal forecasts. The NMSA agro-meteorology service also releases crop situation reports and four annual seasonal output reports, two at the beginning and two at the end of the meher (main cropping season; begins in September) and belg seasons. So far, lack of competence at the lower level of the government hierarchy remaining as one well known problem of the early warning system in Ethiopia. Again, for there exists to somehow, a kind of association between El Niño - Southern Oscillation (ENSO) and drought in Ethiopia; the NMSA is known to use ENSO information to supplement its meteorological early warning system. According to the NMSA, a cool event (La Niña) leads to decreased rainfall in the belg season (February-May) and heavy rainfall during the main (kiremt) rainy season (June-September) (Bekele 1993). A warm event is associated with an above-normal rainfall during the belg season. According to previous droughts, a positive SST anomaly that lasts at least a year is always associated with severe kiremt (June/September) drought in Ethiopia (ibid.). Thus, during ENSO years, belg rains are heavy and the main summer (kiremt) rains are reduced. In normal seasons, belg rains are variable and the main rains are stable (Glantz 1996b). For example, based on the 1986 El Niño information, "NMSA has provided a seasonal forecast, and the DPPC (the then RRC) succeeded in averting the 1987 famine" (Ayalew 1996). In 1988 and 1989 also, the Ethiopian authorities and donors used ENSO data to recommend appropriate policies regarding the amount of land to be cultivated, input supplies (seeds, fertilizers), and conservation of food and water (NMSA, in Glantz 1996b, 79). It is following the receipt of the 1992 ENSO information that the Transitional Government of Ethiopia (1991-95) set up the Disaster Prevention and Preparedness Committee in the Prime Minister's Office. And so, the famine conditions of 1994 were averted due to the appropriate use of the 1993 information (Ayalew 1996). In 1996, the summer floods were predicted by the National Meteorological Services Agency (Teshome 1997). The NMSA warned of possible flooding in its May 1996 forecast. In June 1996, the DPPC in turn distributed an early warning to its users. 19 The potential beneficiaries of ENSO information in Ethiopia are farmers, herders, and the government and the success of an ENSO early warning depends on the actions taken by its users. The information concerning the advent of an ENSO event could warn both cash and food crop producers. Based on such information, farmers could introduce adequate agronomic changes. At the national level, surplus food could be stored for the next season, and additional food could be imported in anticipation of shortfalls. Herders might also sell off part of their herds before the arrival of drought. ENSO information is useful, but it has some weaknesses when applied to specific local conditions. ENSO-based weather and climate prediction is general in nature and less effective in providing locally specific drought early warning. Again, topography tends to make local microclimates unique and broad statements about the weather, without stating how the information could be used, is making famine early warning ineffective. 4.1.1 Changes that have taken place in disaster prevention and early warning In the course of time the EEWS has undergone considerable changes in three major areas: Organizational, Conceptual and Methodological. Organizational changes: the EWS is decentralized giving more power to the regional offices regarding data collection and analysis. The process raising hopes and fears; On the hope side, information collectors and analysis to be closer to local needs, and greater scope for designing an early warning system that is appropriate to local conditions. On the fear side, managing a complex system of early warning could prove difficult for staff in regions and zones where there is a capacity problem. Even under conditions of decentralization, the Federal system still has important roles to play: • priorities between the needs of different regions in the event of disaster, • allocate resources at national level, • issue international appeals on behalf of the nation, • mobilize domestic resources, • ensure quality control in early warning performance around the country Conceptual considerations: It is to be remembered that in the 1990s, several important documents were developed to guide the early warning system & food security. These include: (1) The National Food Security Policy; (2) The 1993 National Policy for Disaster Prevention and Preparedness Management (NPDPM); (3) General Guidelines for the Implementation of the National Policies on Disaster Prevention and Preparedness Management; and (4) The Five-Year Disaster Prevention Plan (1998-2002). The formulation of the National Policy on Disaster Prevention and Preparedness (NPDPM) shifted the emphasis from famine relief to disaster prevention, 20 preparedness and response. Timely response then became key to saving lives & livelihoods. This accomplished in two phase include the provision of food, shelter and medical services to victims of disaster and every effort is made to prevent depletion of key assets. The second phase comprises, where & when it is needed, the provision of farm inputs such as oxen, seeds & hand tools in cropping areas, & restocking of depleted livestock herds in pastoral areas. Figure 1 below captures many of the changes that have taken place or taking place in disaster prevention in general and early warning in particular. Figure 1: Major areas of change in disaster management The Present &Future Multi-agency effort Bottom-up relief planning Decentralized EWS Recipient-driven response Clear delegation of authorities and responsibilities Comprehensive preparedness modalities Targeting food assistance to the most needy Creation of employment Relief or development Saving lives and creation of community assets Preparedness for early response Protection of crops and preservation of livestock Focal points and centre of co-ordination defined Full community participation with gender consideration Conscious and proactive planning targeting to address root cause of disaster Use of relief efforts to assist development efforts and use of development programs to eliminate root cause of food insecurity Source: Yibrah Hagos (1996) The National Policy on Disaster Prevention ad Preparedness and Mnagement, Proceedings of the workshop on early warning System, Addis Ababa, April 15-20 & April 22-27. The Past One agency show Top-down relief planning Centralized EWS Donor-driven intervention Unclear responsibilities and Authorities Limited preparedness modalities Focus on general affected population Free food handout Relief Saving lives Late intervention Neglect of livelihood Focal point at various levels undefined Imposition of projects/programmes Reactive response to disaster symptoms Methodological considerations: The Ethiopian Early Warning System is based on monitoring ‘aggregate’ indicators for an administrative area or agro-ecological zone or woreda. The system monitors largely economic resource indicators using the following approaches: monthly monitoring of food security at woreda level, seasonal assessments, and emergency ad-hoc disaster area assessment, the principal output of the system being to determine areas needing assistance, beneficiary numbers, and duration of assistance. The system has been criticized for the following constraints: Too complex and resource intensive – requires skilled staff at all levels and requires efficient communication channels, which is lacking in most parts of Ethiopia 21 Not suitable for pastoral and agro-pastoral areas in Ethiopia Lack of baseline (contextual) information. In 2004, DPPC was renamed the Disaster Prevention and Preparedness Agency (DPPA), with a revised and more restricted mandate to focus on acute cases of emergency response. The responsibility to coordinate employment generation, one of the major strategies that link relief with development, reassigned from DPPC to the newly created Food Security Coordination Bureau (FSCB). As such, DPPA made to be no longer responsible for addressing the underlying causes of disasters, and was responsible only to respond to rapid-onset disasters or unpredictable events. FSCB addressing national food security through a productive safety nets program, other food security-related projects that attempted to enhance assets and livelihoods, and a voluntary resettlement program. At the institutional level, DPPA was responsible for transitory vulnerability, while FCS B dealt with chronic vulnerability. In practice, though, many perceive that this distinction between chronic and transitory vulnerability is not so clear-cut in reality, as there are some movement of households between these categories. The Business Process Re-engineering (BPR) during 2008-2009 again has restructured the institutional arrangement for disaster risk management, and established the Disaster Risk Management and Food Security Sector (DRMFSS) under the Ministry of Agriculture and Rural Development (MoARD), with a significant shift in policy direction; DRMFSS assuming all responsibilities of the former DPPA and FSCB. DMFSS overseeing two directorates: the Food Security Program Directorate (FSPD) and the Early Warning and Response Directorate (EWRD). Under the new structure, DMFSS undergoing a major shift in its approach from traditional reactive ex-post emergency response and relief work to pro-active ex-ante preparedness and disaster risk reduction. There is a Task Force on DRM, led by DRMFSS, that is supposed to bring together all of the Ministries that deal with DRM at the sectoral level: Ministry of Water Resources, Ministry of Health, Ministry of Agriculture and Rural Development, Ministry of Environment, and NMA; including forum and other similar working groups and platforms, such as the Early Warning Working Group (EWWG), Rural Economic Development – Food Security (RED-FS) Group, and the Sustainable Land Management (SL M) national platform, etc. DRMFSS at federal and regional level as the focal agency to coordinate all disaster related activities through its different sections. The early warning system activity coordinated by Early Waning and Response Directorate or Department (EW&RD) of DRMFSS at Federal or Regional levels. It is supported by the Early Warning Working Group (EWWG), with members from line ministries, UN agencies and NGOs with different assessment mechanisms and methodologies in use. 22 The system so arranged to involve all stakeholders (local communities, Federal and Regional governments, NGO’s and donors) to participate in seasonal assessments and in the production of food supply prospects, appeal and monthly early warning reports. And so far the very well known EW reports produced on a monthly basis is the one produced by SC-UK in collaboration with the regional governments, WFP/VAM and FEWS NET. Generally said, instead of monitoring only rainfall, vegetation and crop production, decentralized early warning and response capacities that take into consideration local traditional knowledge are said to have many more advantages than centralized ones. 4.2 Other food security monitoring systems in Ethiopia Few other food security monitoring systems in Ethiopia include: ► WFP’s Vulnerability Analysis & Mapping (WFP-VAM): Vulnerability Assessment & Mapping that provides information to WFP aid programming by ranking various vulnerability indicators on their computer model and highlighting food insecure areas on a mapping program. ► USAID’s Famine Early Warning System (USAID-FEWS): an indicator based approach that analyses various indicators including environmental, production and welfare indicators (rainfall, NDVI, market prices, livestock health, etc.). ► FAO’s Global Information and Early Warning System (FAO-GIEWS): known for popularizing the food balance sheet approach, which is used to estimate crop production and calculate national consumption. ► World Vision Ethiopia (WVE): monitoring Crop Production Estimate, Livestock condition, Market prices condition in its operational areas highlight the food security prospect through “Food Security Monitoring Survey” publications. ► Save the Children UK (SC_UK) Household Economy Approach (HEA) to early warning: the approach first, using a quantitative description of the economy of a defined population, including all the main factors determining current household income and potential household income under changed conditions, and how these vary between households. Second, it follows with analysis of the relationship between a shock and the ability of households to maintain their food and non-food consumption. Examples of shocks are crop failure from drought or a rise in the price of a staple food. The approach model the likely chain of events, linking a shock and the outcome. The SC-UK HEA approach is also known to have several strengths: 23 1. It creates a logical and transparent link between an event, its outcome and the possible responses, which is accessible to non- technicians and which can serve as the basis of discussion with a wide variety of people. 2. The approach is based on a minimum “complete” set of information, which ensures that the collection of information is comprehensive. 3. HEA allows scenarios to be developed using different estimates for each variable. 4. It enables us to analyze complex change in the economic context. Economic shocks often involve a variety of factors – such as production change that affect crops dependent and livestock dependent population differently. 5. The approach is dynamic in the sense that it allows to monitor a situation as it evolves. 6. It allows an analyst to focus on the needs of defined groups within population not just an aggregate measure, which reflects an average reality. 7. It tells as not only that a problem exists, but also the scale of the problem and the relative contribution of different factors to this. ► The PLI-EWS program: the PLI EWS reports used to have much more strength in monitoring and documenting anticipated hazards and risks that potentially affect the livelihoods of the pastoralists; looking into the following: Rainfall monitoring is done by using gauges as a standard component of EWS; Crop monitoring is also done; although it does not say much about pastoralists’ livelihoods. Forage performance monitoring was in practice, with issue of further monitoring needs to access forage. The monitoring of water sources was in place, if an element of access considered as in the case of forage; also monitoring of the livestock conditions and their products included. There was a little bit of food stock monitoring that only shade some light on status Grain prices and livestock prices and supply monitoring was done regularly as market indicators. Asset monitoring had been done to somehow; for pastoralists the most important asset their livestock looked at. Right to endowments overlooked which the PLI EWS paid only little attention to these issues. Monitoring of changing livelihoods; which PLI EWS has inadequately covered. Used to monitor all types of movements and migrations also documenting the normal practices Off-farm IGAs monitoring although not satisfactorily covered by PLI EWS Hazards and risks monitoring and documenting anticipated hazards and risks that potentially affect the livelihoods of the pastoralists 24 PLI EWS used to monitor wellbeing also; providing some information on wellbeing indicators such as poverty situation, wealth status and nutrition conditions. Indicators that were well covered within the PLI EWS reports and are found to meet most of the needs of the users include livestock and products, water sources, forage sources, markets, rainfall, migrations and hazards and risks. Those indicators reported by the users as partially covered and some improvements include crop production, food stocks, changing livelihoods, and rights on resources/endowments. Wellbeing, off-farm IGAs, and assets are among the indicators that reportedly need significant improvements as they are fully covered/meet the needs of the users However, they still can be improved by incorporating information generated by various agencies. These information include human and livestock disease, crop pests, economic crisis such as effect of inflation, price shocks, local conflicts due to resource limitation, seismic activities etc. Information such as weather forecasts and climate predictions generated through high-tech scientific methods and released by specialized agencies will have additional value to the users. This information can be included in the reports in order to make the EWS information more useful for all stakeholders. 4.3 Different drought response triggering mechanisms Biannual multi-agency assessments: The government carries out two multi-agency, multi-sectoral assessments each year to guide it in declaring an emergency and making an international appeal. The rainfall/stocking ratio mechanism: This trigger mechanism is specific to the Borena plateau, where PARIMA and ILRI have found a strong correlation between rainfall and stocking rates of cattle. The EWS triggering mechanism: Run by the DPPA, with SCUK support. EWS run by NGOs: CARE and other NGOs run localized drought early warning systems. Community’s own traditional early warning system: based on experience and observation of seasonal rainfall levels, bird behavior and the condition of pasture, water and livestock, etc pastoralists are able to detect risk. Nutritional assessments: Nutritional assessments measure the nutritional status of vulnerable groups, particularly under-fives. Malnutrition rates determine whether further action is necessary. Agency staff on the ground: Agency staffs usually monitor the situation and carry out situational analysis of drought status, enabling agencies to start discussing a changing situation and take action. 25 Declaration of emergency by the federal government: an emergency and appeal for international support is issued; usually this is done after extensive consultations and field-based assessments, and may at times be politicized. It typically takes between eight and 12 weeks after the onset of an emergency for a declaration to be issued. 5. TRADITIONAL KNOWLEDGE IN DROUGHT MANAGEMENT Traditional early warning systems represent the whole body of knowledge developed earlier among pastoral communities to anticipate the coming of rains and thus enable them to mitigate the effect of droughts on their livestock - the backbone of their livelihoods. TK employs information which is already possessed by the community and which is also valuable to DRR. In Elidaar, the local communities have a history of experience with drought disasters; have accumulated a wealth of experience and information regarding prediction, reaction and recovery from drought and this provides a good opportunity for potential partnership with scientific weather prediction initiatives. It is expected that the integration of the traditional and formal EW systems will boost the trust of communities on early warning information and increase its uptake for action for the pastoral communities to avoid or reduce their risk and prepare for effective response. Community’s own traditional early warning system: based on experience and observation of seasonal rainfall levels, animal behavior and the condition of pasture, water and livestock, etc pastoralists were/are able to detect risk. Therefore there is a need to appreciate traditional early warning systems and drought coping strategies which have helped pastoral communities in Elidaar and elsewhere to survive for generations. And the most effective way to collect and transmit such local information for use by early warning systems remains to be worked out and should be made a priority for continuous review and research and discussion especially looking into the variability of weather caused by climate change these days. One thing is true; with all the intricacy of the available traditional knowledge the question lies on how far these can be used to trigger pastoralists self propelled response action or external intervention under the changing global environment. 5.1 Importance of Pastoralists' Indigenous Coping Strategies for Planning Drought Management. Nowadays, drought survival among pastoralists in drier areas is increasingly becoming arduous. Despite massive hand-outs of famine relief by governments and donors, each drought is on resulting in dislocation and fatality of the poor. 26 Drought and insecurity combined have resulted in abject poverty (Olsson 1993, Glantz 1987, Fratkin 1997), whereby deteriorating conditions of food security and the breakdown of the traditional pastoral economy pointing to an uncertain future (Getachew 1995). Worsening conditions of food security are occurring as interventions by states and international NGOs are decreasing. Several reasons exist for this state of affairs. a) First, development took no notice of the indigenous coping strategies of the pastoralists, their goals and aspirations (Grandin and Lembuya 1987, Hogg 1990). b) Second, because coherent government policies on drought are lacking, failure to reduce drought losses is frustrating the development efforts. c) Third, programs designed to help the pastoralists did not integrate their coping strategies into drought management plans (Huss-Ashmore and Katz 1989, Baxter 1994, IUCN 1991). There are also many reasons why development programs should understand pastoralists' traditional coping mechanisms: 1. Coping strategies that are being lost need to be preserved for the future generations (Bellin 1994). 2. It is worthwhile to understand why a system that had previously functioned in the absence of outside intervention is suffering ecological and economic pressures (Turton 1985). 3. Drought management planning itself will benefit from understanding how the societies respond to normal extensions of eco-climatic variations & cope with it. 4. Improvement of food security is more likely to result from strengthening the indigenous coping strategies than from introducing new ones (Huss-Ashmore and Katz 1989). 5. Because traditional coping strategies are a major component in the survival of pastoralists, drought management plans which ignore them will probably not be sustainable (The World Bank 1995). All the above factors reaffirm the need for improved understanding of TK; it is also very well known that, recognition and use of TK by itself to provide improved self confidence for the community and allow it to deal with disasters on its own. I.e. recognizing & sharing TK confirm to communities that their knowledge is valuable and give its members authority over the process of risk reduction. This in turn providing enhanced security needed to immediately respond to potential threats from disasters since local community members are the first responders. And so, there is a strong need to strengthen the resilience and self confidence of local communities to cope with drought through recognition and propagation of traditional early warning practices and values as part of DRR activities. 27 6. LIVELIHOOD IN AFAR AND THE TRADIONAL EW SYSTEM 6.1 Livelihood in Afar and the Risks Pastoralists’ face 28 Afar region with a population of about 1.3 million, is a lowland area in northeastern Ethiopia. It has international boundaries with Eritrea to the north and Djibouti to the east. Within Ethiopia, it has boundaries with Tigray and Amhara regions to the west and with Oromiya and Somali regions to the south-east. Of the total population, 80% are classified as pastoralists. Livestock holdings declined markedly (by up to 50% in some woredas, according to some observers) during the recent drought. There are indications that longterm livestock population trends may be declining, while the human population is rising. Most land is used for pastoral purposes, although much of the land in the Awash valley in the riverine zone has been turned over to large irrigated farms. Land alienation continues, with 150,000 hectares reserved for irrigation schemes. The damage these losses have caused to pastoral livelihoods has been compounded by the spread of Prosopis spp., commonly known as mesquite, from the farms into the surrounding rangelands. Map of Afar Region, Prosopis plant, originally introduced to stabilize the banks of irrigation channels, now infests about 700,000 hectares (Behnke et al., 2007). The Afar region of Ethiopia (see Figure 1) is one of the hottest inhabited places on earth, with temperatures exceeding 50 0C and less than 200 mm rainfall per annum (Federal Democratic Republic of Ethiopia, 2000). The majority of Ethiopia’s Afar populations follow a pastoral, transhumant lifestyle keeping multispecies, multi-purpose stock to provide sufficient milk and meat for consumption, social exchange and occasional sale (Getachew, 2001). They form a highly traditional society that has received less development attention than many comparable societies in Africa where traditional practices and institutions remain strong. Pastoralists’ risk: Pastoralism as an economic and social system operates effectively in low and highly variable rainfall conditions; uniquely well adapted to dry land environments. However, in Ethiopia pastoralist livelihoods systems are becoming increasingly vulnerable. Human populations are rising, the climate is changing and international markets are setting ever-higher barriers for access. Infrastructure is poorly developed, education and literacy levels remain very low and competition for scarce resources is increasing. The risks populations in pastoral areas face are characterized by one or more of the following: 1. Loss of productive assets (livestock) due to drought, floods, disease etc; 2. Declining sustainability as livestock holdings decrease and the human population grows; 3. Declining livestock productivity due to poor husbandry practices and technologies; 4. Environmental degradation and deterioration of natural resources to the point that production may decline below recovery levels; 5. Breakdown of traditional institutions and social relations; 6. Inability to access markets and achieve maximum prices for livestock products; 7. Low socio-economic empowerment of women and youth; 8. Geographical isolation in terms of infrastructure, communications and basic services; and 9. Increasing impoverishment of communities and households The above findings are all supported by a number of studies done so far & still ongoing. Drought takes many forms, however, and can be described as a shortage or complete absence of rain, or merely the late arrival of the rains. Rainfall in the region is bi-modal and the failure of the main (karma) rains in July August, September and October is generally considered a drought; an event that may occur every four or five years. If the small (Sugum) rains; February and March additionally fail the situation can become quite serious but a major drought, of the kind faced in 1984 and in 1977, typically come about when two consecutive karmas fail. Given the pre-eminence of livestock in their livelihoods, it is not surprising that Afars cite drought, as deterioration of livestock body condition, collapse of livestock markets and livestock disease as the shocks to which they are particularly at risk. 6.2 Pastoral communities of Elidaar Livelihood zones are areas within which households share - on average - the same options for obtaining access to food and cash income, and share access to the same markets. Elidaar pastoralist livelihood zone is located in the Northern part of Afar regional state, bordering Eritrea and Djibouti; it is predominantly semi arid lowland: low lying altitude ranging from 80 meters b.s.l. to 250 meters a.s.l. Lake Afdera and the fault Danakil depression are found in this zone. The climate is generally hot and dry and the 30 annual rainfall is less than 100mm, falling during two rainy seasons Karma (July to September) and Sugum (February to April); Hagai (May to June and Gilaal (October to December). High Temperatures reaching 50 0C are normal during this period. There are no permanent rivers but there are only seasonal rivers such as Emino and Kelelu. The main sources of water are hand dug wells (ellas), ponds and surface water and as a matter of fact it is not uncommon that this system is supported by water trucking in any one year, past and present. The vegetation is mainly drought resistant plants such as Acacia tortilis, Balanitus rotondofolia and Balanitus aeygyptia. 6.3 Drought/drought cycle & response action; respondents’ insight Drought according to the respondents is generally described as: Insufficient /lack of rain for regeneration grasses and browse Natural event aggravated by human factor Hazard; recurring Shortage of rain (total absence), shortage of moisture Shortage of water Drought defined : A temporary reduction in water or moisture availability to significantly below the normal or expected amount for a specified period (DCM Handbook, 2005). Table: Drought cycle and response action as described by Elidaar Pastoralist community representatives Drought cycle as described by Elidaar Pastoralist communities Appropriate response actions proposed at each stage: Normal Stage: Availability of adequate rainfall Sufficient grass, forage and browse Sustained assets holding due to normal market situation Good human and livestock physical condition Increase school enrolment Availability of adequate water/ women and children can get water in their vicinity Absence of social crisis Alert Stage Migration 31 Provision of appropriate extension service Capacity building/enhancement Active community participation Encourage indigenous EWS Conduct situation analysis Poor vegetation, grass and browse and livestock situation Erratic and low rainfall Quarter filled or dried Birkats/ponds Long distance walk to fetch water Emergency Stage Human and livestock death Malnutrition Migration School drop outs Food aid and non-food items Blanket Recovery Stage Re-stocking Asset building Normal vegetation/enough grass and browse Share information to concerned stakeholders Identify appropriate interventions Resource mobilization Water supply/food and oil Integrate emergency response /linking relief with development / Re-integration and rehabilitation Construction of irrigation schemes Construction of water development & other social services Avail credit and saving scheme 6.4 Current EWS at Regional and Woreda level With the recognition that food security and early warning activities must be decentralized to regional and woreda (district) levels; in 1995 the new constitution established a decentralized federal system that divided the country into a series of semiautonomous Regional States. Most responsibilities for the planning and implementation of development policies and programs decentralized to this level. Each region has its own set of government institutions which largely replicate those at the federal level. Resources and responsibilities for service delivery and project implementation have been moved to the woreda offices. In practice, however, both woreda & regional policies are still guided by federal sector policies and by cross-sector strategies and programs. Then a second phase of decentralization in 2002 established the woredas as the center of socio-economic development and empowered Woreda administrations. The Woredas now have economic autonomy and receive direct block grants from the regional level. Each Woreda now has an elected council, from which are elected a Woreda administrator & deputy who exercise overall leadership. The administrator chairs the woreda cabinet, which consists of the heads of the various government departments found at this level; DRMFSS also giving priority to develop risk (hazard/vulnerability/coping) profiles at the woreda level. The purpose of the profiles being to integrate the baseline data on livelihood zones (disaggregated by livelihood groups) this developed by the US AID-funded Livelihoods Integration Unit (LIU ) with historical woreda-level data on hazards (e.g., floods, 32 drought, malaria outbreaks, livestock disease) provided by the line ministries to determine multi-hazard risk profiles at the woreda level. Ultimately, this information serving as a source of forecasting and early warning information based on historical data and also based on real-time data. In addition, the risk profiles serving as a tool for analyses and planning exercises based on the interface between sustainable land management (SL M), DRR and CCA, and incorporating information on other sectors such as water balances, health and nutrition, land use, etc. As such, DRMFSS is seeking a common methodology for its proposed risk profiling. And so the existing early warning system places more emphasis on the livelihood zone database (i.e., vulnerability profiles) at a lower level, and how climate variability (notably lack of rainfall) can impact household well-being in terms of food production and consumption. As the data collection sheet in use is more inclined to crop agriculture, its modification is underway to cover issues pertinent to pastoral setting. Thus, the woreda-level risk profiling could provide a vast amount of information to integrate monitoring, forecasting, early warning systems, contingency plans and contingency financing for multi-hazard analyses that cover many sectors. But looking into the practices on the ground at Regional, Woreda and the grass root level, the system of data gathering to assesses multi-sectoral hazards including monitoring of drought risk, food insecurity, health epidemics, malaria outbreaks, livestock diseases, and market information and respective communication among the ‘kebele’ (community) levels, which is at the core of the early warning system, is not so well developed. The systems for data collection, analysis, and dissemination to end users, as well as strengthening of the communication channels from the community to national levels needs to be strengthened for effective functioning of the system. Concerning EW activities in effect, the following facts can be highlighted: Earlier as most of the EW activities were jointly done by SC UK PLI project staff and the DPPB in Afar regions, it is not the case these days. The capacity at Woreda levels in Afar is to somehow inadequate when looked at in terms of skilled manpower, budget, logistics, etc. Poor financial capacity to sustain the EWS without external support. EWS reports gathered at grass root level are late, irregular and not timely, and usually done with a continuous and a lot of induction. The report is not produced in local languages as it used to be in previous years. Indigenous knowledge of communities regarding their own system of EW; cultural/traditional EWS information (i.e. traditional drought indicators) are not included neither in the data gathering sheet nor in practice. The involvement of stakeholders and partners is not at its expected level, particularly in Afar. Insufficient capacity building activities to sustain the EWS. 33 6 TRADITIONAL EARLY WARNING INDICATORS USED IN ELIDAAR WOREDA (five village communities consulted) 6.1 Early Warning Indicators (Astronomical - Movement and location of the stars (constellation) The Sun: When the sun is surrounded by different spectrum of light (‘Garbomadu’ in Afari language) it is an indication of the coming of the rains and significant greening. If the sun sets with multihued color it is also a good sign that rain is coming. When the sun rises flecked with reddish color, they say, it is a sign of bad year. The Moon: The color of the moon; brown/dark color surrounding the moon symbolizes a bad omen/drought When the moon rises newly, its shape of and position of tilting has a different connotation: E.g.: - symmetrical shape symbolizes total absence of rain during the month. When the moon rises newly and the crescent is directed north ward (to the left) – it is taken as an indication of bad season/ sign of drought. If on the other hand the crescent is tilting in opposite direction (to the right) this symbolizes sign of wet season/rain and therefore the coming season is hoped to bring good rains. The Stars: Humans have gazed at stars for many thousands of years. Different cultures, based on their own innovation have named visible stars and star groups by native proper names. In some cultures groups of stars in the sun-moon ecliptic plane were named as zodiacs. Many of these names have died out and are dying out due to slow tendency toward unilingual-unicultural pressures, while some other name systems just survive. In Afar stars have different names and are used for prediction of the weather. Dohra’ star; it is a single overhead bright star that symbolizes beauty in Afar observed in the month of … , (3rd to 4th of ‘Moulid’) often awaited for ca 9days during this period; if observed for only one day it is a sign of good season 34 If ’Dohra’ star is observed for 3 months on continuous it is a sign of bad year – and drought is imminent. ‘Kahima’ star (7 stars); which are said to be observable mainly to camels show up during ‘Hagay’ (April, May, June) season; immediately before the appearance of these stars, there will be a glowing heat followed by a severe cold. If the cold spell continues it is an indication of the coming of the rains and heat on the other hand is a sign of upcoming drought. If the Kahima star is not seen, libido of goats is said to be reducing; this time temperature rises and it is only after the star is observable that the temperature drops. ‘Kaihma’ stars move away from east in a certain direction and this is known as ‘dubte’ in Afar and this situation is known to indicate the coming of a terrible wind. ‘Malhino’ star: group of 7 stars arranged in such a way that (3 stars lined up to follow the 4 stars set in rectangular form). According to legend the four stars are said to be symbolizing 4 lost camels of which the 2 stars trailed are representing two men searching these camels and the last 1star standing for a woman helping the male counterparts, to provide food and water. Generally ‘Malhino’ star observation is mainly related to lost and found camels. With regard to seasonal changes, ‘Malhino’ stars commonly show up in a group of two stars at a time and the last star pops up only later on. But in good year the starts are said to pop up all at the same time and this by itself is known to indicate good season/rainy. ‘Meraki’ (Mahutukta) star; is a morning star used as a perfect indicator signaling prayer time for the Muslim community. 6.2 Early Warning (Meteorological indicators; rainfall, pasture / browse, water, crops, availability) Rainfall monitoring; has been and will be a major part of almost all EWS; put across by absence of rains and pasture drying out Drying of surface water collection points such as river beds, artificial ponds, birkuts & hand dug wells is sign of upcoming drought; a simple closer look of water levels each time, whether it is full, half or quarter filled or totally dry at the surface . Wind direction: a wind blowing North ward (‘kilb’ direction as they call it is an indication of the coming of high intensity of wind and rains which is devastating but still liked as it produces a lot of surface water . Misty and high speed dusty windy storms coming from either north or south direction also signify drought in Elidaar. 35 Wind blowing in SE direction is also known to disperse and diverge the rains (negative); if wind direction is reversed, no drought and it is good. (Meteorological indicators related to seasons of the year in Afar Region) 1. 2. 3. 4. 5. July, August September = ‘Karma’ long rain October, November, December, January = ‘Gillal’ long dry season February, March = ‘Sugum’ short rain April, May, June = ‘Hagay’ warm season Dadaa =January/Feb spontaneous rain 6.3 Livestock factors: (body condition, reproduction, milk production and incidence of diseases); Conditions of livestock: When drought is looming immediately after the month of January (‘WissuHagai’ hot season), camels are not able to stay for 5 consecutive days without drinking water and if allowed to drink they take excessive water and refuse/are reluctant to move away from the watering point. The communities in Elidaar strongly believe that this behavior is an indicator of a dry season and it is not uncommon for people to die during this time due to shortage of water. The opposite is held true, when cattle take water and run around jovially as if in a celebration mood, it predicts good season (rains) is coming. The cattle bulls become arrogantly playful when the coming season is going to be good. Sometimes breaking watering troughs with their horns as if to declare that very soon the cattle will not queue for water. After ‘Wissu’ the ‘Liane’ follows which is more severe and the temperature is so hot and suffocating that even snakes are coming out of their hiding (incidence of snake bite will also increase dramatically). When livestock refuse to obey or follow the directions the herd man is leading them to follow and run away or hurry in different/opposite directions this symbolizes bad hunch or drought. If the cattle refuse and go back to the Kraal and run away facing different directions it is a sign of bad season; if they ran towards the Kraal/home around 3 o’clock in the afternoon -it shows a good season to come. If camels shake their body as if to remove water from their body after drinking water, it is a good sign that rain is coming; normally camels do not shake. Sometimes female camels urinate while sitting as if to express the hopelessness for the future. If camels run away, are browsing haphazardly and appear to have lost their hearing senses, it depicts a bad season. 36 When camels brush their legs together - this symbolizes a good indication of a bumper season Camels in good year munch without browsing as if the mouth is full of feed; in Afar this is named as ‘Mat hauta’ and this is a sign of upcoming good season. When wild animals come closer to dwelling units it is an indication of drought and elders advise community members/women in particular, to save butter for the inevitable bad times. Sounds and behavior of cattle: When cattle make some specific throat vocal sound when sleeping at night is an indicator that the coming season is going to be good. However, there is a special throat vocal sound, if they make will indicate a bad season as well. If a camel moans or makes a mourning sound and also hesitates when lead to browse by returning home, this is an indication of bad season or the likelihood of other bad incidences such as the death of elders a child or a camel. If the morning sound of foxes is a kind of laughter; this is taken as a sign of good year and it is most likely that it rains. Reproduction: Grunting of the camel bulls (making mating calls) symbolizes a good rainy season. The jovial mood of camel also is an indication that the coming season is good as well. Sudden increase in libido, mating and general excitement of livestock symbolizes the rain season is approaching and communities to make upfront decisions. If female camels hate their homestead, leave their kids and move away to far places while there is abundant browse around, it is a sign of bad year and communities unanimously agree to leave the area and move. Normally, when the season is expected to be good female camels come back to their kids now and then. 6.4 Early Warning Indicators related with behavior of birds Migration of Birds; When certain birds (‘Elelee’) soar very high in the sky, it is an indicator that the rain is far (drought), the opposite is true, and when they fly low it means the rains are approaching. 37 If ‘Hantigumaitu’ bird which means the ‘milk bird’ is seen around it is a good sign that pastoralists are getting more milk from their cattle from abundant rain and corresponding forage availability. Bird (‘kuranu’) indicates the coming of guests to the village or (a household). Bird( ‘Gaya’ = duck) indicate the coming of rains. A bird named as ‘Berhai’ in Afar, that lives in stony areas; this bird often sitting between giant stones swings its wing against the stone and produces a special sound named “koda” which the Afari also call a milk shaking sound as if to produce butter (“Ha rukuta”) and it is a sign of good year with plenty of milk for all. If ‘Barahi’ birds make only one cracking sound it is taken as a sign of bad year/drought coming; while the sound comes incessantly like a fountain then the rain is to come (no drought). ‘Tuluwuul’ Bird( green bird) when the year is good these group of birds stay where goats browse altogether, and if they remain aloof it is an indication of upcoming drought. (Another prediction based on “Tulwuul’ bird is that if these birds flock in group and guide the livestock towards grazing by taking the lead as if to show grazing sites, it is a sign of good year and if their position is at the tail of the livestock drought is expected. In good year the birds are also said to be guiding the herds back home in a similar fashion by taking the lead. Where Ostriches exist; if these birds come closer to dwelling units it is taken as a signal for impending drought. 6.5 Early Warning – indicators related with behavior of Insects Behavior of insects: When black ants make and follow only one route from their hole is an indication of a bad season while if they made more than 4 routes from their holes it shows a good season. Special beetle named as “Haggay farii” is making an annoying sound it is a sign that the upcoming season is dry. A beetle named “Didda’ in Afar; it usually construct its nest out of mud/soil either on stands/polls of dwelling units or right on the wall; the Afari elders closely observing the size of the nest the beetles have constructed, it is possible for them to predict the season. By classifying the size of the nest as big , normal and small. If the nest is big and above normal it is a time of plenty and if too small it is an indication of drought year. When a green beetle comes home and collides with the wall structure and fails on the ground, elders used to put butter or ash on it to predict the future; also singing the following song in Afari language; /‘’If you are evil eyed – die!!! - ‘’If you are the sheik escape unharmed!!!”/ and it so happens that the 38 beetle either die or escape. Escaping of the particular beetle is taken as an indication of good season to come (soon to rain) or the opposite to happen if the beetle dies. Behavior of Ants: Ants display a rich diversity of behaviors in obtaining food, promoting the survival of their colonies, and defending against predators. The various behaviors of ants are influenced by their senses and by information stored within their nervous systems. Ants seem to be capable of a certain amount of learning. For example, foraging ants rely on memory—a form of learning—to recognize landmarks in the area where they search for food. Ants display a remarkable diversity in the environments they live in, the foods they eat, and their strategies for survival. Ants perform many essential functions in ecosystems. They turn soil, move organic matter and soil nutrients, reduce insect populations, serve as food for other animals, disperse seeds, and sometimes pollinate flowers. In agriculture, they are the most important predators of insects, helping to keep pests under control. People in Elidaar use ants for highly specialized purposes (drought prediction). ‘Dakura’ (Ant) also means to jump about in Afari language, the prediction is done by women who are involved in fetching water; women closely observing the movement of the special ant based on its natural feeling (by its own instinct). Drought prediction is done in two ways. The women either pick one of the ants by their finger and thumb and put the ant in front of a shallow ditch which they have artificially constructed by simply scratching the soil with their finger, for the ant to move on its own wishes, and observe the direction of the ants’ move for prediction. The ants move will be either within the ditch or away from the ditch in all possible directions. In some villages women simply look into the ants’ natural movement without capturing individual ants. They do observe whether the ant/s is/are moving within the lower ground or is/are jumping about stones now and then while on the move. Whether constructing artificial route or simple observation of natural movements of the ants is practiced for drought prediction, the interpretation is that when the ant/s refrain from simply following the artificial route constructed and opt to jump over sands/stones as if in a rush to escape, all informed by its/their own instinct, is/are said to be afraid of being washed away by incidental water, presumably a wall of water foreseen in the eyes of the ant, and this phenomenon is utilized to predict the upcoming rains (no drought). Whereas the ant/s admits/admit to move within the artificial ditch/route or refrain from jumping about stones, and be in motion within the limit of the lower ground; these situation signify drought in such a way that the ant/s move in 39 the ditch is safe for the ants have known by instinct that there will be no probable rain/water to wash them away. Please see the illustration below for those women who practice the weather prediction by capturing individual ant and direct its move by placing it in front of artificially constructed shallow ditch made by finger scratching; Case ①: The ant placed by a woman right in front of the ditch which she has artificially constructed; the procedure repeated two to three times, the ant moves within the ditch as directed, it is a sign of bad season and drought is to happen. ””” Case ② similarly, the ant placed by a woman in front of the ditch may move away from the artificially constructed ditch as indicated in the picture below and the prediction is for the rains to come/no drought or good season. Do you know that Ants are common insects, but they have some unique capabilities? More than 10,000 known ant species occur around the world. They are especially prevalent in tropical forests, where they may be up to half of all the insects living in some locations. Ants communicate and cooperate by using chemicals that can alert others to danger or lead them to a promising food source etc. 6.6 Human factors: (people with special capabilities /pebble throwers /traditional seers /witchcrafts) Human beings, of all nature's animals, seem to have an extraordinary ability to predict and to some degree control the future states of the universe... well most human beings that is. For instance a four-year-olds may have an amazing degree of skill, and fortyyear-olds with a seriously diminished capacity to either predict or control the future. Sadly many of the latter end up in the custody of the criminal justice system, possibly because of nothing but a failure of imagination. For instance when children imitate warplay elders say “it is an indication of war”. 40 The pastoral communities in Elidaar and elsewhere in the world have been able to survive in fragile and hostile environments only because of their capacity to predict to somehow, being vigilant to what surrounds them both at a distance as far as the stars and the moon and the biotic and abiotic factors close by in their surroundings. In Elidaar there are these ‘’people with special capabilities’ who are also cursed by many in religious terms; named as pebble throwers, traditional seers or witchcrafts. Nonaligned to the above connotations what so ever, the writer of this particular report has interviewed to family members of a pebble thrower groups in Elidaar and has gathered the following information regarding the very protocol followed by the pebble throwers to predict not only future weather conditions but also twist of fate in life. Here goes the etiquette/protocol followed by the pebble throwers for prediction of different future incidences including the weather. (Pls. see the sophistication of the steps in the diagram below; for you to think of how it did persist thus far and whether it really has a predictor value in all terms. Step 1: The pebble thrower collects 48 pebbles & makes a composite unit to work with. 48 pebbles (a composite unit to work with) Step 2: The pebble thrower randomly divides the 48 pebbles in to four portions 41 Step 3: He then separates the four portions with arbitrary number of pebbles each Step 4: From each portion he picks two pebbles at a time until one or two pebbles remain and he repeats the same process eight times. Then based on the number of pebbles which could remain at the end in each of the quadrants either in odd (i.e one pebble) or even (two pebbles) respective names are designated as shown in the table below: Pebble thrower taking two pebbles at a time from each of the four random pebble sets. Table: Names designated for the remainder of the pebbles in the four quadrants step 1to 4 are undergone eight times. 42 after 1 “Terick” 2 “Gamaa” 3 “Nifadu” 4 “Bisgibida” 5 “Reskubari” 6 “Sankafday” 7 “Oqula” 8 “Kitmaa” With one additional step undergone the names specified above are then used to foretell different happenstances not limited to prediction of the upcoming rains; all based on the arrangement of the remainder pebble counts in the four quadrants [each time a composite is made out of the 48pebbles to be randomly divided to make respective counts in sequential order following the steps indicated above( step 1to 4)]. Step 5: For the prediction of either drought or upcoming rains (“Robamatina”); the pebble thrower carries out step 1to 4 (four times) and then mixes up the final counts of 1 and 3 separately (i.e. Jumble 1) and so count 2 and 4 (Jumble 2). He then divides jumble 1 first into two and then jumble 2 similarly, in this order to come up with 4 quadrants having smaller number of pebbles. Then he picks 2 pebbles from each of the quadrants until one or two pebbles remain in each of the quadrants as a final output for interpretation/prediction. For instance Output No. 8 described; based on the arrangements of the pebbles that remain after the final count is as shown below i.e. “Kitmaa”, it means rain is sure (no drought) and pastoralists are advised to stay put (not move) in search of water. 43 “Kitmaa” = (Output No. 7 described; i.e. occurrence of “Oqula” pastoral communities for which the prediction is made by the Traditional Foretellers (seers)/Pebble throwers /people of special capability also called “witchcrafts”, the prediction is that, drought is coming and pastoralists are urged to move in search of water and pasture/browse. “Okula” = As prediction by Pebble throwers is not limited to prefigure upcoming rains or drought; in accord, all the remaining designations have different interpretations. (No. 1) Terik; according to them is interpreted as an indicator for someone or a group to remain in the move or be a voyager. “Terik” = (No. 2) Gammaa is said to be an indication of gathering towards someone, a family or a village (the coming of guests, relatives or friends) “Gammaa” = (No. 3) Nifaduu; for example if the result of the pebble throwing ends up in Nifaduu it is interpreted as the will at hand is said to be achieved positively; whatever. “Nifaduu” = (No. 4) In case of “Bisgibida” occurrence, a woman is expected to bring new and realistic information regarding lost camels/goats or what not. So is good to listen to what a woman tells at this point in time. “Bisgibida” = 44 (No. 5) The “Reskubari” episode specifically signifies whatever was lost, which in the case of the pastoral setting could be camels /cattle/goats; the lost animal is said to be still in safe hands ; and can be traced through “dagu” systems. “Reskubari” = (No. 6) “Sankafday” which in Afar language is means the distance between the eyebrow and the eyelash the interpretation is again related to lost camels cattle or goats and they presage the fact that the lost item is within closer distance and is to be found soon. “Sankafday ”= Conflict as an indicator: Poverty induced behavioral changes taken as the principal attribute for conflict or zero tolerance; the previous generations who lived in abundance to somehow were said to have lived in harmony amongst themselves and with Mother Nature up until scarcity produced greed and consequent conflict. The new generation is said to have lost the above virtue all due to growing scarcity of resources. 7 TRADITIONAL EWS TO INFORM ZONAL/REGIONAL LEVEL Communication channels from community levels, to woreda zonal, regional and national level and vice-versa have to be pre-identified and it is necessary to have one authoritative voice. Inclusive of the traditional Early warning systems, for the formal EWS to work successfully, the fundamental principles and pre-conditions indicated below need to be followed: The whole activities need to be Knowledge and skill based: EW information should be collected and analyzed professionally, and inclusive of the indigenous knowledge (community early warning information and responses). 45 Participatory actions required: the key stakeholders at community, woreda and regional levels need to have a stake to contributing to EW information and checking with the reality in order to ensure the quality of information and get acceptance by policy makers and donors. Timeliness of information dissemination: the EW information should reach the right audience on time and keeping on informing and updating until the information is used in order to trigger timely response. Linkage/Integration with complementary risk management intervention: the EW information should inform the emergency and development interventions, and vice versa, the risk management implementers need to institutionalize the EWS into the risk management programs/interventions. Use of baseline information: the EW information should be analyzed and interpreted in reference to the established livelihood zoning and baseline. Commitment of the government staff at different levels: this is mainly expressed in terms of allocation of resources (human, physical and financial resources), Accountability and transparency: the information collected and analyzed should reflect the reality, & avoid organizational bias so that information users will not be suspicious. 9. PROPOSED WAYS FOR REVIVAL & USE OF TRADITIONAL EARLY WARNING SYTEMS Education for disaster risk reduction is an interactive process of mutual learning among people and institutions. It encompasses far more than formal education at schools and universities and in training courses. It involves the use of traditional wisdom and local knowledge to safeguard against natural hazards as well as the active and informed participation of the local media (fm radio etc). Interpreting coping strategies and indicators is a difficult business, and which changes over time, as livelihood patterns themselves change. Without consulting communities properly it is easy to misinterpret the changes taking place from year to year and season to season in pastoral livelihoods. So, to avoid such problems, it is necessary to make a viable linkage between the formal EWS and traditional EWS through the development of seasonal gatherings with a range of government and community representatives. 9.1 Enhanced Early Warning System (EEWS) for drought Management Building up a prepared community requires participation of formal and informal education sectors, addressing broader concept of risk and vulnerability. Recognize also 46 the importance of working with traditional structures of organization and management. It is therefore important to build a close partnership with local communities, listening to their perspectives and developing joint plans and mechanisms to address problem areas. As such it is important that communities get proper feedback on how information is being used. Therefore, it is good to pursue the following steps for drought early warning at the level of the end users: 1. Enhance the EW task force which practically exists informally at village community level, mainly composed of elders who normally take the lead in EW and all community issues. 2. Clarify the purpose and objectives of the early warning which is to flag selected and well known traditional indicators. 3. Sort those powerful traditional indicators, 4. Flag the selected powerful traditional indicators at community level indicating the impending drought (Publicize), 5. Include the same in the regular /EW data sheet and pass on to regional concerned bureau for analysis, and 6. Encourage communities to solicit for response action with the government administrations following the existing hierarchy, 7. Enhanced early warning system to be foreseen (think of also broadcasting EWS findings in local fm radio etc). Linked with traditional livestock indicators; it is important that the PLI EWS livestock related indicators which cover livestock number, physical conditions, type, productivity, trend, livestock disease outbreaks, usual movements of animals, changes on these compared to normal, etc, their use need to be invigorated. 10. CONCLUSION AND RECOMMENDATIONS Drought is typically a slow-onset phenomenon, which means that it is often possible to provide early warning of an emerging drought. Such information allowing for a shift from reactive to proactive hazard management and represents a change in focus from disaster recovery to disaster prevention. For there is no single definition for drought, its onset and termination are difficult to determine. We can, however, identify various indicators of drought specific to sectors or water uses, and tracking these indicators provides us with a crucial means of monitoring and providing early drought warnings. A starting point for reducing drought risk and promoting a culture of resilience lies in gaining knowledge about hazard occurrence, the potential effects of the hazard, and the related vulnerabilities of potentially affected people and activities. Existing traditional knowledge utilized, drought monitoring and early warning systems play an important role in risk identification, assessment and management. 47 It is true that in many practical situations we are always facing a problem of making decision; and as making decision based up on sample information and experimental evidence is important and essential, the traditional early warning study conducted calls up on further probability studies to see how far the predictions made based on traditional indicators sorted are working or not (no doubt they work to somehow!). Community’s own traditional early warning system: based on experience and observation of seasonal rainfall levels, animal behavior and the condition of pasture, water and livestock, etc pastoralists were and are able to detect risk. Therefore all along with growing appreciation that traditional observations and outlook methods may have scientific validity, there should be increased interest in harmonizing traditional and modern scientific methods of climate prediction. Besides, it is essential that we begin to compile and analyze, in a consistent manner, information on the occurrence of drought hazards, to enable a better understanding of past and future changes. Warnings capable of warning of large-scale famine also need to be sensitive to changes in livelihood security status at community level long before famine threatens. Most responses came (and are still coming) in the form of food aid when famine had already taken place, but an outbreak of famine is a clear signal that the early warning and response process has failed to prevent it (Borton et al , 1991). As, the PLI-supported EWS reports were the major sources of pastoral EW information since the recent past in Afar region, for the system is adequately covering most of the entitlement EW indicators; the EWS reports were used by several humanitarian organizations for various purposes including advocacy, response planning and intervention, and vulnerability analysis. And most users were satisfied with the contents of the EWS reports and their dissemination mechanisms with some suggested improvements; this needs to be strengthened including also an element of traditional early warning indicators used and in use by communities. Again as EWS should not be a process of data collection and analysis to be considered the end result; it ought to be part of a bigger system that is aimed at mitigating and responding to a crisis. Data analyzed at regional level, need to call up on outright decision for response action before it is too late. Death tolls of either animals or human beings need not be the major signals that call for individual or collaborated action at later stages Generally, EW needs to be sustainable through innovative and adaptive technologies, scientific knowledge not ignored; and by review as this provides an appropriate opportunity to review the value of bringing on board the traditional early warning knowledge of communities to be part of the bigger EWS system. 48 Good to develop mechanism and put systems in place to extract information from the regular EW report and produce area specific EW messages that go in line with the traditional EW knowledge and experience in local language by the Regional DPPB this very well communicated with the community. The traditional indicators sorted need to be flagged and shared regularly during early warning coordination forum meetings in Afar that involves stakeholders and establish a working mechanism for information sharing; fm radio use considered. The study was inspired not only by the obvious value of indigenous knowledge in natural resource conservation and natural disaster management but also by the need to systematically document it to avoid the knowledge being lost. It was expected that if it is documented it would enhance understanding of the application and use of indigenous knowledge in sustainable development. So, this rudimentary study taken as the first of its kind initiative taken by APDA in Afar region, the writer of this report calls up on similar works to be done in a number of other Woredas to add to knowledge and enhance the first step findings. In general, as drought impacts and losses can be substantially reduced if authorities, individuals, and communities are well-prepared, ready to act, and equipped with the knowledge and capacities for effective drought management. It should be very well recognized that mitigation and preparedness have a greater impact on reducing the scale and effects of drought disasters than ad-hoc emergency response measures. 11. REFERENCEs Buchanan-Smith, M, 1992. Famine early warning systems and response: the missing link? Case study: Turkana District, north-west Kenya, 1990-91. In: Buchanan-Smith, M, Davies, S, and Petty, C, 1992. Famine Early Warning Systems and Response: the missing link?. IDS, Sussex 49 C. Pratt. 2001. Traditional early warning systems and coping strategies for drought among pastoralist communities. Fletcher School of Law and Diplomacy, Tufts University, Medford, MA, United States. Government of Ethiopia, 1997. Draft Contingency Plan for Borana Administrative Zone of Oromia Region; DPPC task force. Addis Ababa. Issack, Abdirahman Ali and Yusuf, Ahmed, 2010. “What worked and what didn’t: The experience of Save the Children UK Ethiopia on piloting Community Based Early Warning Systems in 3 districts of Somali and Afar” Study commissioned under the Preparedness Improved Livelihoods and Resilience (PILLARII) PROJECT. Save the Children UK Ethiopia. Addis Ababa, Ethiopia. http://www.disasterriskreduction.net/fileadmin/user_upload/drought/docs/Save%2 0the%20Children%20- %20CBEWS%20Lessons%20learned%20-%20Ethiopia.pdf Monnik,K.2000. Role of drought warning systems in South Africa‟s evolving drought policy. http//www. drought .unl.edu/monitor/EWS/ch5_ Monnik.pdf( 2011, May 14). Platt Christopher, 2002: Traditional Early Warning Systems and Coping Strategies for Drought Among the Pastoralists Communities Northeastern, Kenya. Fletcher School of Law & Diplomacy. Sammy M., 2011, Strengthening Drought Early Warning at The community and District levels, Analysis of Traditional community warning systems in Wajir & Turkana counties; A report to Oxfam GB, Kenya. Transitional Government of Ethiopia (TGE), 1993. National Policy on Disaster Prevention and Management. Addis Ababa; Users’Survey’ 2010; The PLI supported EWS Information, User survey conducted by Geo-Space Analytical Services, Addis Ababa The UN OCHA Pastoralist Communication Initiative 2007; The future of pastoralism, Ethiopian representatives and leading international thinkers deliberation over the state of pastoralism, making a new analysis of potential futures. ►UN-ISDR, undated. “Four Elements of People Centred Early Warning Systems” http://www.riskinstitute.org/peri/images/file/PERI_Symposium_UNISDR.pdf 50