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dc.contributor.authorBonilla Findji, Osanaen_US
dc.contributor.authorEitzinger, Antonen_US
dc.contributor.authorAndrieu, Nadineen_US
dc.contributor.authorJarvis, Andyen_US
dc.contributor.authorRecha, John W.M.en_US
dc.contributor.authorAmbaw, Gebermedihinen_US
dc.contributor.authorTadesse, Meronen_US
dc.title2019 - CSA Monitoring: Doyogena Climate-Smart Village (Ethiopia)en_US
cg.authorship.typesCGIAR multi-centreen_US
dcterms.abstractThis dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Doyogena Climate Smart Village (Ethiopia) in October 2019. This monitoring framework developed by CCAFS is meant to be deployed annually across the global network of Climate-Smart Villages to gather field-based evidence by tracking the progress on: adoption of CSA practices and technologies, as well as access to climate information services and their related impacts at household level and farm level This framework proposes standard Descriptive Indicators to track changes in: 5 enabling dimensions that might affect adoption patterns, a set of 5 CORE indicators at Household level to assess perceived effects of CSA practices on Food Security, Productivity, Income and Climate vulnerability and 4 CORE indicators on Gender aspects (Participation in decision-making, Participation in implementation, Access/control over Resources and work time). At farm level, 7 CORE indicators are suggested to determine farms CSA performance, as well as synergies and trade-offs among the three pillars. This integrated framework is associated with a cost-effective data collection App (Geofarmer) that allowed capturing information in almost real time. The survey questionnaire is structured around different thematic modules (Demographic, Livelihoods, Food Security, Climate events, Climate Services, CSA practices, Financial Services) connected to standard CSA metrics and the specific indicators. The framework responds to three main research questions: Within each CSV community, who adopts which CSA technologies and practices and what are their motivations, enabling/constraining factors? What are the gender-disaggregated perceived effects of CSA options on farmers’ livelihood (agricultural production, income, food security, food diversity and adaptive capacity) and on key gender dimensions (participation in decision-making, participation in CSA implementation and dis-adoption, control and access over resources and labour)? How does CSA perform at farm level, and what synergies and trade-offs exist (whole farm model analysis)? NOTE: In the case of the 2019 Implementation in Doyogena only questions 1 and 2 where addressed (The “Calculator Modules” of the survey allowing assessing farm level effects of CSA practice on performance were not applied). (2020-03-30)en_US
dcterms.accessRightsOpen Accessen_US
dcterms.bibliographicCitationBonilla-Findji, O.; Eitzinger, A.; Andrieu, N.; Jarvis, A.; Recha, J.; Ambaw, G.; Tadesse, M. (2020) 2019 - CSA Monitoring: Doyogena Climate-Smart Village (Ethiopia),, Harvard Dataverse, V3en_US
dcterms.subjectclimate smart agricultureen_US
dcterms.subjectagricultura climaticamente inteligenteen_US
dcterms.subjectmedios de vidaen_US
dcterms.subjectfood securityen_US
dcterms.subjectseguridad alimentaríaen_US
cg.contributor.affiliationAlliance of Bioversity International and CIATen_US
cg.contributor.affiliationCentre de Coopération Internationale en Recherche Agronomique pour le Développementen_US
cg.contributor.affiliationInternational Livestock Research Instituteen_US
cg.coverage.regionEastern Africaen_US
cg.contributor.crpClimate Change, Agriculture and Food Securityen_US
cg.subject.alliancebiovciatCLIMATE CHANGE ADAPTATIONen_US
cg.subject.alliancebiovciatMONITORING AND REPORTINGen_US
cg.creator.identifierOsana Bonilla-Findji: 0000-0002-6098-000Xen_US
cg.creator.identifierAnton Eitzinger: 0000-0001-7317-3381en_US
cg.creator.identifierAndy Jarvis: 0000-0001-6543-0798en_US
cg.contributor.donorInternational Fund for Agricultural Developmenten_US

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