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Climate change is a major development challenge to Ethiopia. Climate change is expected to adversely affect all economic sectors, eco-regions, and social groups. Agriculture is one of the most vulnerable sectors as it is highly dependent on rainfall. This report synthesises four case studies focu...


Bewket WRadeny, Maren A.O.Mungai, C[Agricultural Adaptation and Institutional Responses to Climate Change Vulnerability in Ethiopia]Agricultural Adaptation and Institutional Responses to Climate Change Vulnerability in Ethiopia

This paper explores whether crop genetic engineering can contribute to addressing food security, as well as enhancing human nutrition and farming under a changing climate. The review is based on peer-refereed literature, using results to determine the potential of this gene technology. It also pr...


Ortiz, R.Jarvis, AndyFox, PAggarwal, Pramod K.Campbell, Bruce M.[Plant genetic engineering, climate change and food security]Plant genetic engineering, climate change and food security

The Climate Change and Social Learning Initiative is a cross-organisation group working to build a body of evidence on how social learning methodologies and approaches contribute towards development targets. Together with a select number of participating initiatives from a variety of organisation...


Epp, Marissa vanGarside, Ben[Monitoring and Evaluating Social Learning: A Framework for Cross-Initiative Application]Monitoring and Evaluating Social Learning: A Framework for Cross-Initiative Application

Mahoo, HRadeny, Maren A.O.Kinyangi, JamesCramer, Laura[Climate change vulnerability and risk assessment of agriculture and food security in Ethiopia: which way forward?]Climate change vulnerability and risk assessment of agriculture and food security in Ethiopia: which way forward?

This report investigates the climate of two target regions of the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS): Central and South America (CA and SA, respectively). The report assesses the implications of climate change for agriculture, with a particular focus o...


Marengo, JAChou SCTorres, RRGiarolla, AAlves, L.M.Lyra, A[Climate change in Central and South America: Recent trends, future projections, and impacts on regional agriculture]Climate change in Central and South America: Recent trends, future projections, and impacts on regional agriculture

This paper analyses gender differences in awareness and adoption of climate-smart agricultural (CSA) practices. It examines what factors are associated with the likelihood of adoption of a wide range of CSA practices for 376 women and 375 men in two different areas of Kenya. This information is a...


Bernier, QuinnMeinzen-Dick, Ruth S.Kristjanson, Patricia M.Haglund, EKovarik, C.Bryan, ElisabethRingler, ClaudiaSilvestri, Silvia[Gender and Institutional Aspects of Climate-Smart Agricultural Practices: Evidence from Kenya]Gender and Institutional Aspects of Climate-Smart Agricultural Practices: Evidence from Kenya

The purpose of this working paper is to provide insight into how we can use novel approaches to scale up research findings on climate-smart agriculture (CSA) to meaningfully address the challenges of poverty and climate change. The approaches described include those based on value chains and priv...


Westermann, OlafThornton, Philip K.Förch, Wiebke[Reaching more farmers: Innovative approaches to scaling up climate-smart agriculture]Reaching more farmers: Innovative approaches to scaling up climate-smart agriculture

Downscaling techniques aim at resolving the scale discrepancy between climate change scenarios and the resolution demanded for impact assessments. Requirements for downscaled climate, to be useful for end users, include reliable representation of precipitation intensities, temporal and spatial va...


Quiróz, R.Posadas, A.Yarleque, C.Heidinger, HalineRaymundo, R.Carbajal, M.Cruz, MarianaGuerrero, J.Mares, V.Silvestre, ElisabethJones, C.Carvalho, Leila M. V.Dinku ,T.[Application of non-linear techniques for daily weather data reconstruction and downscaling coarse climate data for local predictions]Application of non-linear techniques for daily weather data reconstruction and downscaling coarse climate data for local predictions

The CGIAR Research Program on Aquatic Agricultural Systems (AAS) program, together with the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), asked Prolinnova — an NGO-led multistakeholder international network that promotes local innovation processes in agriculture...


Wettasinha, CWaters-Bayer, AnnVeldhuizen, L. vanQuiroga, GSwaans, K.[Study on impacts of farmer-led research supported by civil society organizations]Study on impacts of farmer-led research supported by civil society organizations

Analysis of climate change is often computationally burdensome. Here, we present an approach for intelligently selecting a sample of climates from a population of 6800 climates designed to represent the full distribution of likely climate outcomes out to 2050 for the Zambeze River Valley. Philoso...


Arndt, C.Fant CRobinson, ShermanStrzepek, K.M.[Informed selection of future climates]Informed selection of future climates

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