Browsing by Subject "Drought"

Now showing 1 - 3 of 3
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    Barriers to selling livestock in the face of drought in the Omusati Region of North Central Namibia
    (2021) Joshi, Nivedita; Spear, Dian; Ziervogel, Gina
    Marginal communities living in semi-arid Namibia face significant challenges in sustaining rural livelihoods due to environmental degradation and poverty. Research has shown that livestock farming depends on rain-fed agriculture among other things, thus making communal farmers vulnerable to climate change in the future. Given this, it often makes sense for farmers to sell their livestock and explore alternative livelihood options. However, farmers in northcentral Namibia are reluctant to sell their livestock despite a noticeable temperature increase and rainfall decrease over the past forty years. This study analyses the barriers to selling livestock in the face of a drought in the Omusati region of north-central Namibia. The study was carried out in three villages namely Omahanene, Okathitukeengombe and Oshihau, in the north-central Omusati region of Namibia. Household livestock distribution, perceptions of climate change, barriers to the sale of livestock and alternative livelihood strategies from other semi-arid regions were explored among 30 households using semi-structured household interviews and a systematic literature review. Results from the study indicate that 80% of communal farmers predict future droughts in the region and able to recall climate change through frequent droughts, increasing temperatures and decreasing rainfall. Farmers claimed that these changes have affected their livestock numbers. However, several barriers including cultural beliefs, lack of financial security, access to information, lack of institutional support and lack of efficient markets hinder livestock sales. The study suggests that the imminent impact of climate change coupled with the reluctance to sell livestock will threaten food security in the future. The study argues that rural livelihood diversification strategies are critical to safeguarding sustainable livelihoods in the future, including those of communal livestock farmers specifically. Additionally, policy recommendations like access to credit through public and private funding, access to markets by providing transportation facilities, encouraging market participation by improving quality of grazing lands, increasing water availability, building veterinary facilities, employing extension officers and access to information through reliable channels can help build a sustainable future in the face of climate risks.
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    Exploring the contributions of cross-sector collaborations to Disaster Risk Reduction in the city of Harare: an investigation through a drought response lens
    (2021) Nyamakura, Balbina Kudzai; Shackleton, Sheona; Ziervogel, Gina
    The Sendai Framework for Disaster Risk Reduction calls for collaboration across sectors in society as an effective way to reduce disaster risk in order to safeguard lives, human wellbeing, and development gains from potential disasters. However, the effectiveness of these cross-sector collaboration approaches has most often been studied in the context of rapid onset disasters such as floods, with less focus on slow-onset disasters such as multiple year droughts. There is also limited research on the contributions of cross-sector collaborations towards Disaster Risk Reduction in African cities. For this study, I set out to investigate cross-sector collaboration efforts contributing to drought response in the city of Harare, Zimbabwe; and how these collaborations were contributing towards fulfilling the four priority areas of the Sendai Framework. These include i) understanding disaster risk, ii) strengthening disaster risk governance, iii) investing in disaster risk reduction for resilience, and iv) enhancing disaster preparedness for effective response. In this qualitative study, I made use of purposive and snowball sampling methods to select 14 key informants from national and local government, non-governmental organisations, and civil society organisations who were directly involved in eight drought related cross-sector collaborations. I conducted in depth semi-structured interviews with these key informants between 2018 and 2019. For the analysis, I followed prior developed themes based on Bryson et al. (2006) theoretical framework to understand cross-sector collaborations. I also applied a typology of barriers and enablers developed from the literature in the analysis, and interpreted emergent themes using NVivo software. I then assessed the contributions of the identified cross-sector collaborations to the activities listed under each of the four priority areas in the Sendai Framework. The findings highlighted the socio-political and economic context of the city of Harare had seeped through and influenced the cross-sector collaborations responding to drought. They shed light on how taking advantage of widely accessible social media platforms serve to enhance collaborations. Additionally, the results highlight the importance of existing networks and relationships in enabling cross-sector collaborations to occur effectively. Most of the cross-sector collaborations occurring in response to drought were originally formed for other reasons and included drought response during the peak of the drought disaster. Collaborations were effective at contributing towards engaging communities in risk assessment and reporting at the local level (Priority 1) and ensuring continual provisioning of services (water) during and after disasters (Priority 4). I make suggestions for collaborations to consider issues of power and how these affect the effectiveness of collaborations on the ground with regards to ensuring social justice and reducing inequality. Finally, I conclude that cross-sector collaborations would be more effective in response to slow-onset disasters when they are formed and applied before the disaster is at its peak. I also suggest that the design and implementation of the cross-sector collaborations be tailor made to consider the socio-political and economic aspects of the city in their design for effective response.
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    Investigating the link between southern African droughts and global atmospheric teleconnections using regional climate models
    (2015) Meque, Arlindo Oliva; Abiodun, Babatunde Joseph; Hewitson, Bruce
    Drought is one of the natural hazards that threaten the economy of many nations, especially in Southern Africa, where many socio-economic activities depend on rain-fed agriculture. This study evaluates the capability of Regional Climate Models (RCMs) in simulating the Southern African droughts. It uses the Standardized Precipitation-Evapotranspiration Index (SPEI, computed using rainfall and temperature data) to identify 3-month droughts over Southern Africa, and compares the observed and simulated drought patterns. The observation data are from the Climate Research Unit (CRU), while the simulation data are from 10 RCMs (ARPEGE, CCLM, HIRHAM, RACMO, REMO, PRECIS, RegCM3, RCA, WRF, and CRCM) that participated in the Regional Climate Downscaling Experiment (CORDEX) project. The study also categorizes drought patterns over Southern Africa, examines the persistence and transition of these patterns, and investigates the roles of atmospheric teleconnections on the drought patterns. The results show that the drought patterns can occur in any season, but they have preference for seasons. Some droughts patterns may persist up to three seasons, while others are transient. Only about 20% of the droughts patterns are induced solely by El Niño Southern Oscillation (ENSO), other drought patterns are caused by complex interactions among the atmospheric teleconnections. The study also reveals that the Southern Africa drought pattern is generally shifting from a wet condition to a dry condition, and that the shifting can only be captured with a drought monitoring index that accounts for temperature influence on drought. Only few CORDEX RCMs simulate the Southern African droughts as observed. In this regard, the ARPEGE model shows the best simulation. The best performance may be because the stretching capability of ARPEGE helps the model to eliminate boundary condition problems, which are present in other RCMs. In ARPEGE simulations, the stretching capability would allow a better interaction between large and small scale features, and may lead to a better representation of the rain producing systems in Southern Africa. The results of the study may be applied to improve monitoring and prediction of regionally-extensive drought over Southern Africa, and to reduce the socio-economic impacts of drought in the region.