54 research outputs found

    Disaggregated Analysis: The Key to Understanding Wellbeing in Kenya in the Context of Food Price Volatility

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    This article provides a national?level picture of food security and wellbeing in Kenya, focusing on the situation before the 2008 food price crisis, and the period after 2008. The extent and impact of food price changes differ spatially, and households have different ways of trying to respond. The major food price shocks in 2008 and 2011 impacted negatively on wellbeing, but even after 2011 prices continued to rise in most areas. Seasonal price movements also have adverse effects for resource?poor households. Food price rises have a particularly negative impact on the poorest households. Urban slum dwellers are vulnerable given their dependence on market purchases to meet food needs, but most rural households also have high dependence on market purchases. Current social protection programmes are piecemeal and unreliable. The article concludes with proposals on more effective social protection approaches and agricultural programmes which can address problems linked to food price rises

    A systematic approach to assess climate information products applied to agriculture and food security in Guatemala and Colombia

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    [EN] Increased interannual climate variability affects agricultural livelihoods throughout the world. In many regions, climate services support decision-makers in their adaptation efforts. The range of these services and the number of associated information products have increased dramatically in recent years. However, the relationships between these products and their use and usability for targeted decision-making have rarely been systematically evaluated. Here, we report on the development of a systematic and user-centered approach to assess climate information products and networks of products; and apply it to products covering the nexus of climate, agri- culture, and food security in Guatemala and Colombia. Across both countries, we assessed 28 products used for agricultural decision making, outreach, planning research, and design of emergency responses. While climate- only information products play a central role in each network, information products intended to support agri- culture and food security need to integrate information from different themes or disciplines and sources at different scales. We find that major improvements in the credibility, legitimacy, scale, cognition, procedures, recommendations, and content of most existing products are required. Brevity and clarity of language are highlighted as desirable in both countries, as well as use of trusted and publicly-available data, and non-paper- based delivery formats. The approach and methodology are valuable for facilitating the prioritization of actions for improvement and/or the development of new products, thereby helping climate services for agriculture and food security to realize their true potential.We acknowledge support from the Climate Change, Agriculture and Food Security (CCAFS), under the project P42 Agroclimas 1 - Tailored agroclimatic and food security information for decision making in Latin America and P1604 Agroclimas 2 - Digitally integrated approaches for managing climate risks and increasing food security (http://bit.ly/2i3V0Nh).CCAFS is carried out with support from CGIAR Trust Fund Donors and through bilateral funding agreements. For details please visit https://ccafs.cgiar.org/donors.The views expressed in this paper cannot be taken to reflect the official opinions of these organizations. We also acknowledge support from the Colombian Ministry of Agriculture (MADR), who enable the co-production of climate services in Colombia through the AClimateColombia program (http://www.aclimatecolombia.org).JR-V and DG were partly supported by the project Climate Services for Resilient Development (CSRD)-United States Agency for International Development (USAID) Award#: AID-BFS-G-11-00002-10 towards the CGIAR Fund (MTO 069018). CSRD (http://www.cs4rd.org/) brings together public and private organizations and agencies committed to realizing the potential to enhance climate resilience and climate-smart policies and practices throughout the world, particularly in developing countries.Bouroncle-Seoane, C.; Müller, A.; Giraldo, D.; Rios, D.; Imbach, P.; Girón, E.; Portillo, F.... (2019). A systematic approach to assess climate information products applied to agriculture and food security in Guatemala and Colombia. Climate Services. 16:1-17. https://doi.org/10.1016/j.cliser.2019.100137S1171

    Dominant atmospheric circulation patterns associated with abnormal rainfall events over Rwanda, East Africa

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    The study investigated the dominant atmospheric circulation patterns associated with abnormal rainfall over Rwanda during the March–May (MAM) rainfall season in 1981–2010. The data sets used in this study include: rainfall, wind, sea surface temperature (SST), and humidity. Correlation and composite analysis and Percent of Normal Index (PNI) were deployed in this study. In the wet years (1987, 1988, and 1998), the country was dominated by moisture convergence, which is in line with wind anomalies that exhibits strong westerly winds from the Atlantic Ocean and southeasterly winds originated from the Indian Ocean. These winds carry moist air mass passing over Congo to the study area, leading to wet events. On the other hand, easterly winds were noted over the study area during the dry years (1984, 2000, 2007, and 2008). The observed wet years coincided with the El Niño events, while the dry years are noted during the La Niña episodes. The dry years exhibited a wide spread of moisture divergence anomaly at the low level and were characterized by the sinking motion as opposed to the wet years with the rising motion. The anomalies of velocity potential/divergence further showed that the wet (dry) years were characterized by convergence (divergence) at the low level. The results also show that there exists a low positive correlation between mean MAM rainfall and SST over the Indian Ocean, which shows minimum influence of the Ocean. On the other hand, it was noted that rainfall amounts is significantly correlated at 95% confidence level with the elevation (altitude) of a given station. This study improves the understanding of the occurrence of wet and dry events in Rwanda, which is helpful in future monitoring of these events

    Assessment of the performance of CORDEX Regional Climate Models in Simulating Eastern Africa Rainfall

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    This study evaluates the ability of 10 regional climate models (RCMs) from the Coordinated Regional Climate Downscaling Experiment (CORDEX) in simulating the characteristics of rainfall patterns over eastern Africa. The seasonal climatology, annual rainfall cycles, and interannual variability of RCM output have been assessed over three homogeneous subregions against a number of observational datasets. The ability of the RCMs in simulating large-scale global climate forcing signals is further assessed by compositing the El Niño–Southern Oscillation (ENSO) and Indian Ocean dipole (IOD) events. It is found that most RCMs reasonably simulate the main features of the rainfall climatology over the three subregions and also reproduce the majority of the documented regional responses to ENSO and IOD forcings. At the same time the analysis shows significant biases in individual models depending on subregion and season; however, the ensemble mean has better agreement with observation than individual models. In general, the analysis herein demonstrates that the multimodel ensemble mean simulates eastern Africa rainfall adequately and can therefore be used for the assessment of future climate projections for the region
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