Increasing Food Security and Farming System Resilience in East Africa through Wide-Scale Adoption of Climate-Smart Agricultural Practicesdoi:10.7910/DVN/28703Harvard Dataverse2015-01-169Winowiecki, Leigh; Laderach, Peter; Mwongera, Caroline; Twyman, Jennifer; Mashisia, Kelvin; Okolo, Wendy; Eitzinger, Anton; Rodriguez, Beatriz, 2015, "Increasing Food Security and Farming System Resilience in East Africa through Wide-Scale Adoption of Climate-Smart Agricultural Practices", https://doi.org/10.7910/DVN/28703, Harvard Dataverse, V9Increasing Food Security and Farming System Resilience in East Africa through Wide-Scale Adoption of Climate-Smart Agricultural Practicesdoi:10.7910/DVN/28703Winowiecki, LeighLaderach, PeterMwongera, CarolineTwyman, JenniferMashisia, KelvinOkolo, WendyEitzinger, AntonRodriguez, BeatrizInternational Fund for Agricultural Development2014Harvard DataverseInternational Center for Tropical AgricultureCamargo, PaolaCramer, Laura2015-01-162014Earth and Environmental SciencesMedicine, Health and Life SciencesSocial SciencesOtherClimate Smart AgricultureFood SecurityLand HealthSoilSocio-EconomicAdaptationMitigationOutscaling Climate Smart Agriculture practiceSocio-ecological landscape modelingClimate Change Adaptation Strategiesincreasing agricultural resilienceThe overall project goal is to improve food security and farming system resilience of smallholder mixed crop-livestock farmers in East Africa while mitigating climate change through wide-scale adoption of climate-smart agriculture (CSA). The project integrates interdisciplinary approaches, including participatory research, integrating a meta-analysis of CSA practices, real-time land and soil health assessments, crop suitability modelling, socio-economic appraisals and multi-dimensional trade-off analyses, as well as on-farm participatory evaluations of CSA to identify, test, implement, and outscale locally appropriate CSA practices.20142017Tanzania and UgandaThese data and documentation are licensed under a Creative Commons Attribution - NonCommercial-NoDerivs 3.0 Unported License. The data can be freely quoted and reproduced provided the source is acknowledged. No use of this data may be made for resale or other commercial purposes. © 2011 CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS)0000 Increasing FS and farming system resilience in East Africa through wide-scale adoption of CSA.pdfThis document gives a brief description of the project, including the type data collected. Please download and read this before downloading any other.application/pdf0200 CSA-RA manual V2.pdfCSA-RA Manual updated including the CSA Prioritization Workshopsapplication/pdf0300 CIAT SAGCOT CSA-RA Report.pdfA Climate Smart Agriculture Rapid Appraisal (CSA-RA) was carried out by CIAT in collaboration with Sokoine University of Agriculture (SUA) for the Southern Agricultural Growth Corridor of Tanzania (SAGCOT) in September 2014. The CSA-RA aimed to assess within and between district variations in farming systems, agricultural management practices, challenges for current agricultural practices, and climate vulnerability, in order to inform targeting of climate smart agriculture (CSA). The CSA-RA used key-informant interviews, participatory workshops, transect walks, farmer interviews, as well as gender-disaggregated methods to gather information on important agriculture-related features and constraints faced by farmers. The CSA-RA from the SAGCOT was carried out in four districts: Bagamoyo, Kilosa, Kilolo and Mbarali.application/pdf0301 CSA-RA Infographic.pdfInfographic on the CSA-RA: A Prioritization Tool for Outscaling Climate Smart Agriculture.application/pdf0302 CSA-RA Report_Northern_Uganda.pdfThe Climate Smart Agriculture Rapid Appraisal (CSA-RA) report for Northern Uganda was carried out in four districts: Gulu, Nwoya, Adjumani and Kitgum. The report provides information about the variation between districts in: farming systems, agriculture management practices, agriculture challenges, climate vulnerability, and gender roles in order to guide targeting of climate smart agriculture (CSA). The CSA-RA used key-informant interviews, participatory workshops, transect walks, farmer interviews, as well as gender-disaggregated methods to gather information on important agriculture-related features and constraints faced by farmers. application/pdf0303 Stakeholder participatory workshops in Lushoto_Tanzania.pdfSmallholders and local decision makers, such as national agriculture research institutes and extension officers, need concrete frameworks and pathways to respond to global climate change through adaptation and mitigation practices. Using the strength and knowledge of experts across multiple disciplines and at different levels together with participatory methods and the use of information and communication technologies, researchers and partners explore climate smart agriculture (CSA) as a viable option for farmers to adapt and to mitigate the effects of climate change. This report provides detailed information on locally appropriate CSA practices for Lushoto, Tanzania in the West Usambara Mountains, as identified by farmers and local experts, and the potential barriers to adopt them. application/pdf0304 CIAT_UNDERSTANDING FARMERS INDICATORS IN CSA PRIORITIZATION - NORTHERN UGANDA.pdfIn order to increase the uptake of climate-smart agricultural innovations, it is important to move beyond adoption claims and understand the contexts in which farmers operate. Farmers use different indicators to decide whether or not to implement, what to implement, and where to implement specific innovations. Understanding and using such indicators to prioritize agricultural innovations can be helpful in scaling out adoptionapplication/pdf0305 Understanding farmers indicators in climate-smart agriculture prioritization in the SAGCOT.pdfThe purpose of this study was to identify indicators that farmers use to prioritize agricultural innovations, in general, and CSA, in particular.application/pdf0401 - Manual Climate-Smart Agriculture Rapid Appraisal - CSA-RA - V2.pdfCSA-RA Manual upgrade, including the CSA Priorization Workshopsapplication/pdf