Impacts of Flooding Disaster Risk Management Policy For Resilience Building in Pastoral and Agro-pastoral Community: The Case of Dassenech, Southern Ethiopia
DOI:
https://doi.org/10.18485/ijdrm.2025.7.1.8Keywords:
disaster risk management, disaster resilience, flooding, climate change, pastoralist, agro-pastoralist, communityAbstract
Disaster risks management policy framework and action undertaken significantly influence disaster resilience capacities of pastoral and agro-pastoral communities of the lower Omo Valley region. This was widely hindered by the government's inability to take effective infrastructural, institutional, social, and economic measures in response to its critical function at the desired level when the lower Omo Valley Dassenech rural communities were exposed to the Omo River flooding disaster. This article aims to explore and investigate the impacts of disaster risk management policies and strategies on building disaster-resilient pastoralist and agro-pastoralist Dassenech communities. Throughout the study, the researcher employed an interpretativist epistemological paradigm. Consequently, the study's findings reveal that the existing policy framework overlooks the pastoral and agro-pastoral concerns associated with the recurring occurrence of the Omo River flooding disaster in the area. Therefore, building disaster-resilient pastoral and agro-pastoral communities has a substantial impact on the realisation of effective disaster risk management while ensuring sustainable socio-economic development in the lower Omo Valley southern regions of the country.
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References
1. Abduletif, A.A. 2019. Benefits and Challenges of the Pastoralism System in Ethiopia. Studia Mundi - Economica 6 (3). DOI:10.18531/Studia.Mundi.2019.06.03.56-67
2. Adaptation Fund (2023). Strengthening Resilience through Disaster Risk Reduction and Early Warning Systems Interventions: Experiences and Lessons Learned from the Adaptation Fund Portfolio.
3. Ahsan, MM, Mahmood, SS, Varol, N. Assessment of climate disaster resilience ın Dhaka city: a case study of Ward No. 28 Of Dhaka South City corporation. Journal of Disaster and Risk. 2018;1(2): 81-92.DOI:10.35341/afet.462039
4. Ayele, T., D. Dedecha, and D. Duba. 2020. The impact of climate change on pastoralist livelihoods in Ethiopia: A review. Journal of Resources Development and Management 63: 2020.DOI:10.7176/JRDM/63-02
5. Bruneau, M, Chang, SE, Eguchi, RT, Lee, GC, O'Rourke, TD, Reinhorn, AM., ... ,Von Winterfeldt, D (2003). A framework to quantitatively assess and enhance the seismic resilience of communities. Earthquake Spectra. 2003;19(4): 733-752.DOI:10.1193/1.1623497
6. Christopher W. Zobel (2010). Comparative Visualization of Predicted Disaster Resilience Virginia Polytechnic Institute and State University. Zobel Comparative Visualization of Predicted Disaster Resilience Proceedings of the 7th International ISCRAM Conference – Seattle, USA, May 2010.
7. Claudia J. Carr (2017). River Basin Development and Human Rights in Eastern Africa — A Policy Crossroads. https://doi.org/10.1007/978-3-319-50469-8.
8. Combaz, E. 2014. Disaster resilience: Topic guide. Birmingham: GSDRC, University of Birmingham. Convention on Climate Change (UNFCCC). National Meteorological Services Agency.
9. CSA (Central Statistical Agency). 2013. Population projection of Ethiopia for all regions at the Woreda level from 2014–2017. Addis Ababa.
10. Cutter, SL, Barnes, L, Berry, M, Burton, C, Evans, E, Tate, E, Webb, J. A place-based model for understanding community resilience to natural disasters. Global Environmental Change. 2008;18(4): 598-606.
11. Cvetkovi´c, V.M.; Renner, R.; Aleksova, B.; Luki´c, T. Geospatial and Temporal Patterns of Natural and Man-Made (Technological) Disasters (1900–2024): Insights from Different Socio-Economic and Demographic Perspectives. Appl. Sci. 2024, 14, 8129. https://doi.org/10.3390/app14188129
12. Cvetković, V. (2023). A Predictive Model of Community Disaster Resilience based on Social Identity Influences (MODERSI). International Journal of Disaster Risk Management, 5(2), 57-80.
13. Daniel Assefa Tofu, Chalchisa Fana, Tegegn Dilbato, Niguse Bekele Dirbaba and Gutu Tesso (2023).Pastoralists' and agro-pastoralists livelihood resilience to climate change-induced risks in the Borana zone, south Ethiopia: Using resilience index measurement approach.https://doi.org/10.1186/s13570-022-00263-3.
14. De Waal, A. 1997. Famine Crimes: Politics and the Disaster Relief Industry in Africa. USA, African Rights and the International African Institute in association with James Currey and Indiana University Press.
15. DFID (2010). Defining Disaster Resilience: A DFID Approach Paper. www.dfid.gov.uk/Documents/publications1/hum-emer-resp-rev-uk-gvmt resp.pdf?epslanguage=en.
16. DFID (Department for International Development). (2013). Embedding disaster resilience lessons review, Conflict, Humanitarian and Security Department (CHASE). International Document.
17. EM-DAT (n.d.). The International Disasters Database. Available at https://www.emdat.be/. Accessed on 1 May 2023.
18. Esma BULUŞ KIRIKKAYA (2017). Community Resilience Against Disasters.
19. Ethiopian Disaster Risk Management Commission (2022). A roadmap for Multi-hazard, Impact-based Early Warning and Early Action System 2023 - 2030: Building Resilience Communities in Ethiopia.
20. Ethiopian Red Cross Society (2021). Disaster Risk Management Policy and Strategy.
21. Eyasu Elias and Feyera Abdi (2010). Putting Pastoralists on the Policy Agenda: Land Alienation in Southern Ethiopia.
22. FAO. 2022. Building resilience to climate change-related and other disasters in Ethiopia – Challenges, lessons and the way forward. Rome. https://doi. org/10.4060/cc1210en.
23. Glaser, B., & Strauss, A. (1967). The Discovery of Grounded Theory: Strategies for Qualitative Research. Mill Valley, CA: Sociology Press.
24. IAHC. 2019. Inter-Agency Humanitarian Evaluation of the Drought Response in Ethiopia 2015– 2018. Independent assessment of the collective humanitarian response of the IASC member organisations.
25. IPCC (2023). AR6 Synthesis Report: Climate Change 2023. Geneva: Intergovernmental Panel on Climate Change. https://www.ipcc.ch/report/sixth-assessment-report-cycle/
26. Kurt, L. 2003. Environmental Assessment Management Framework for the Pastoral Community Development Project. Washington, DC: Environmental resources management.
27. Lisa A. Guion, David C. Diehl, and Debra McDonald. Triangulation: Establishing the Validity of Qualitative Studies; 2011.
28. Lucini, B. (2014). Disaster resilience from a sociological perspective, exploring three Italian earthquakes as models for disaster resilience planning. Humanitarian Solutions in the 21st Century, Springer International Publishing, Cham; 2014.
29. Mayunga JS. Measuring the measure: a multi-dimensional scale model to measure community disaster resilience in the US Gulf Coast region. Texas A&M Universit;2009
30. Mikkelsen, B. (2005) Methods for Development Work and Research: A New Guide for Practitioners. 2nd Edition, Sage Publications, New Delhi.
31. O’Brien, Karen L., and Robin M. Leichenko (2000). Double exposure: Assessing the impacts of climate change within the context of economic globalization. Global Environmental Change, vol. 10, No. 3, pp. 221–232. https://doi.org/10.1016/S0959-3780(00)00021- 2.
32. Oxford Policy Management (OPM) (2020). Building Resilience in Ethiopia (BRE) Review of Good International Disaster Risk Management Practice.
33. Papachroni, A. and Lochrie, S. (2015), “Case studies and data”,inO’Gorman, K. and MacIntosh, R.(Eds), Research Methods for Business & Management: A Guide to Writing Your Dissertation, 2nd ed., Goodfellow Publishers, Oxford.
34. Perić, J., & Cvetković, V. (2019). Demographic, socio-economic and phycological perspective of risk perception from disasters caused by floods: case study Belgrade. International Journal of Disaster Risk Management, 1(2), 31-43.
35. Rodriquez, C.; Mendes, J.M.; Romão, X. Identifying the Importance of Disaster Resilience Dimensions across Different Countries Using the Delphi Method. Sustainability 2022, 14, 9162. https://doi.org/10.3390/su14159162.
36. Scott W. Vanderstoep and Deirdre D. Johnston 2009. Research Methods for Everyday; Life: Blending Qualitative and Quantitative Approaches. John Wiley & Sons, Inc.
37. UNDP (United Nations Development Programme). 2011. Paving the way for climate-resilient infrastructure. Available from http://www.uncclearn.org/ sites/default/fles/inventory/undp_paving_the_way.pdf.
38. United Nations Framework Convention on Climate Change (2015). Paris Agreement. FC/CP/2015/L.9/Rev.1.
39. United Nations Office for Disaster Risk Reduction (UNDRR) (2021). Annual report 2021.
40. Vibhas, S., Bismark, A. G., Ruiyi, Z., Anwaar, M. A., & Rajib, S. (2019). Understanding the barriers restraining the effective operation of flood early warning systems. International Journal of Disaster Risk Management, 1(2), 1-19.
41. World Meteorological Organization (2022). State of the Global Climate 2022. No. 1316.
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