2017- CSA Monitoring: Lawra-Jirapa Climate-Smart Village (Ghana)
cg.contributor.affiliation | CGIAR Research Program on Climate Change, Agriculture and Food Security | en |
cg.contributor.affiliation | International Center for Tropical Agriculture | en |
cg.contributor.affiliation | Centre de Coopération Internationale en Recherche Agronomique Pour le Développement | en |
cg.contributor.affiliation | International Crops Research Institute for the Semi-Arid Tropics | en |
cg.contributor.affiliation | Council for Scientific and Industrial Research, Ghana | en |
cg.contributor.crp | Climate Change, Agriculture and Food Security | |
cg.coverage.country | Ghana | |
cg.coverage.iso3166-alpha2 | GH | |
cg.coverage.region | Africa | |
cg.coverage.region | Western Africa | |
cg.creator.identifier | Osana Bonilla-Findji: 0000-0002-6098-000X | |
cg.creator.identifier | Anton Eitzinger: 0000-0001-7317-3381 | |
cg.creator.identifier | Nadine Andrieu: 0000-0001-9558-9302 | |
cg.creator.identifier | Andy Jarvis: 0000-0001-6543-0798 | |
cg.creator.identifier | Mathieu Ouedraogo: 0000-0001-6581-6287 | |
cg.creator.identifier | Robert Zougmore: 0000-0002-6215-4852 | |
cg.identifier.doi | https://doi.org/10.7910/dvn/j31ljt | en |
cg.identifier.project | CCAFS: PII-FP2_CSAScaling | |
cg.identifier.project | CCAFS: PII-WA_CSV | |
cg.subject.ccafs | CLIMATE-SMART TECHNOLOGIES AND PRACTICES | en |
dc.contributor.author | Bonilla Findji, Osana | en |
dc.contributor.author | Eitzinger, Anton | en |
dc.contributor.author | Andrieu, Nadine | en |
dc.contributor.author | Jarvis, Andrew | en |
dc.contributor.author | Ouédraogo, Mathieu | en |
dc.contributor.author | Zougmoré, Robert B. | en |
dc.contributor.author | Nyuor, Anslem Bawayelaazaa | en |
dc.contributor.author | Saaka Buah, Samuel | en |
dc.date.accessioned | 2019-12-20T16:19:20Z | en |
dc.date.available | 2019-12-20T16:19:20Z | en |
dc.identifier.uri | https://hdl.handle.net/10568/106311 | |
dc.title | 2017- CSA Monitoring: Lawra-Jirapa Climate-Smart Village (Ghana) | en |
dcterms.abstract | his dataset contains the files produced in the pilot implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Lawra-Jirapa Climate Smart Village (Uganda) in October 2017. This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Hoima Climate Smart Village (Uganda) in October 2018. 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: | en |
dcterms.abstract | Adoption of CSA practices and technologies, as well as access to climate information services and Their related impacts at household level and farm leve | en |
dcterms.abstract | his 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. <\ul> This integrated framework is associated with a cost-effective data collection App (Geofarmer) that allowed capturing information in almost real time. | en |
dcterms.abstract | 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. | en |
dcterms.abstract | 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)? | en |
dcterms.accessRights | Open Access | |
dcterms.bibliographicCitation | Bonilla-Findji, Osana; Eitzinger, Anton; Andrieu, Nadine; Jarvis, Andy; Ouedraogo, Mathieu; Zougmoré, Robert; Nyuor, Anslem B.; Saaka Buah, Samuel, 2019, "2017- CSA Monitoring: Lawra-Jirapa Climate-Smart Village (Ghana)", https://doi.org/10.7910/DVN/J31LJT, Harvard Dataverse, V1, UNF:6:A9VSDzAvHjp1OGPmm2Ab9w== [fileUNF]. CCAFS Dataset. CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). | en |
dcterms.issued | 2019-12-20 | |
dcterms.language | en | |
dcterms.license | CC-BY-4.0 | |
dcterms.publisher | CGIAR Research Program on Climate Change, Agriculture and Food Security | en |
dcterms.subject | agriculture | en |
dcterms.subject | food security | en |
dcterms.subject | climate change | en |
dcterms.subject | adaptation | en |
dcterms.subject | monitoring | en |
dcterms.subject | households | en |
dcterms.subject | livelihoods | en |
dcterms.type | Dataset |
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