2018- CSA Monitoring: Santa Rita Climate Smart-Village (Honduras)

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cg.contributor.affiliationCGIAR Research Program on Climate Change, Agriculture and Food Securityen
cg.contributor.affiliationInternational Center for Tropical Agricultureen
cg.contributor.affiliationCentre de Coopération Internationale en Recherche Agronomique Pour le Développementen
cg.contributor.affiliationCentro Agronómico Tropical de Investigación y Enseñanzaen
cg.contributor.crpClimate Change, Agriculture and Food Security
cg.coverage.countryHonduras
cg.coverage.iso3166-alpha2HN
cg.coverage.regionCentral America
cg.creator.identifierOsana Bonilla-Findji: 0000-0002-6098-000Xen
cg.creator.identifierAnton Eitzinger: 0000-0001-7317-3381en
cg.creator.identifierNadine Andrieu: 0000-0001-9558-9302en
cg.creator.identifierAndy Jarvis: 0000-0001-6543-0798en
cg.creator.identifierMartínez-Barón, D.: 0000-0003-2317-8760en
cg.identifier.doihttps://doi.org/10.7910/dvn/ink5imen
cg.identifier.projectCCAFS: PII-FP2_CSAScalingen
cg.identifier.projectCCAFS: PII-LAM_CSVen
cg.identifier.projectCCAFS: PII-LAM_CSVSantaRitaen
cg.subject.ccafsCLIMATE-SMART TECHNOLOGIES AND PRACTICESen
dc.contributor.authorBonilla Findji, Osanaen
dc.contributor.authorEitzinger, Antonen
dc.contributor.authorAndrieu, Nadineen
dc.contributor.authorJarvis, Andrewen
dc.contributor.authorMartínez Barón, Deissyen
dc.contributor.authorSuchini, José Gabrielen
dc.date.accessioned2019-12-18T20:13:35Zen
dc.date.available2019-12-18T20:13:35Zen
dc.identifier.urihttps://hdl.handle.net/10568/106235
dc.title2018- CSA Monitoring: Santa Rita Climate Smart-Village (Honduras)en
dcterms.abstractThis dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Santa Rita Climate Smart Village (Honduras) in April 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.abstractAdoption of CSA practices and technologies, as well as access to climate information services and Their related impacts at household level (and farm level, in selected sites)en
dcterms.abstractThis 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.en
dcterms.abstractThis 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.en
dcterms.abstractThe 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.accessRightsOpen Access
dcterms.bibliographicCitationBonilla-Findji, Osana; Eitzinger, Anton; Andrieu, Nadine; Jarvis, Andy; Martínez-Barón, Deissy; Suchini, José Gabriel, 2019, "2018- CSA Monitoring: Santa Rita Climate Smart-Village (Honduras)", https://doi.org/10.7910/DVN/INK5IM, Harvard Dataverse, V1, UNF:6:hXROvEUUIzBPSHZBMEBgqA== [fileUNF]. CCAFS Dataset. CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS).en
dcterms.issued2019-12-18en
dcterms.languageen
dcterms.licenseCC-BY-4.0
dcterms.subjectagricultureen
dcterms.subjectfood securityen
dcterms.subjectclimate changeen
dcterms.subjectmonitoringen
dcterms.subjecthouseholdsen
dcterms.subjectlivelihoodsen
dcterms.subjectadaptationen
dcterms.typeDataset

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