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2018- CSA Monitoring: Olopa Climate Smart-Village (Guatemala)
doi: 10.7910/dvn/3gicdi
handle: 10568/106234
2018- CSA Monitoring: Olopa Climate Smart-Village (Guatemala)
This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Olopa Climate Smart Village (Guatemala) in April 2018. <br> 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: <ul> <li type= disc> Adoption of CSA practices and technologies, as well as access to climate information services and <li type= disc> Their related impacts at household level (and farm level, in selected sites). <ul> This framework proposes standard Descriptive Indicators to track changes in: <li> 5 enabling dimensions that might affect adoption patterns, <li> 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 <li> 4 CORE indicators on Gender aspects (Participation in decision-making, Participation in implementation, Access/control over Resources and work time). <li> 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> </ul> This integrated framework is associated with a cost-effective data collection App (Geofarmer) that allowed capturing information in almost real-time. <br> 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. <br> The framework responds to three main research questions: <ol> <li value="1">Within each CSV community, who adopts which CSA technologies and practices and what are their motivations, enabling/constraining factors?</li> <li> 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 labor)?</li> <li>How does CSA perform at farm level, and what synergies and trade-offs exist (whole farm model analysis)?</li> </ol>
Universe: At the time of data collection, all survey participants resided within 7 communities in Olopa Village, Guatemala ("Tituque", " Valle nuevo", " El Guayabo Tercer Caserio", " Tuticopote Abajo Caserio El Bendito", " Tuticopote Abajo Caserio El Bendito", " Nochan", or " La Prensa"). Implementation was carried out by locally trained enumerators using the Geofarmer Smart Monitoring App for data collection. The initial sample target was : 140 households, including the ones covered in the initial CCAFS Baseline (HBS). A total of 279 individuals were sampled: 93 adult females, 75 adult males (age 35 or above) 59 young females and 47 young males (under age of 35). Two adults were surveyed from each household. 5 individuals had unrecorded birth years.
- CGIAR France
- Centre de Coopération Internationale en Recherche Agronomique pour le Développement France
- CGIAR Consortium France
- CGIAR France
- CGIAR Consortium France
360, Monitoring, Agricultural Sciences, climate-smart agriculture, households, food security, adaptation, livelihoods, Latin America and the Caribbean, Climate Shocks, monitoring, Households, climate change, Food Security, Earth and Environmental Sciences, Decision and Policy Analysis - DAPA, Adaptation, Climate Smart Agriculture, Livelihoods, agriculture
360, Monitoring, Agricultural Sciences, climate-smart agriculture, households, food security, adaptation, livelihoods, Latin America and the Caribbean, Climate Shocks, monitoring, Households, climate change, Food Security, Earth and Environmental Sciences, Decision and Policy Analysis - DAPA, Adaptation, Climate Smart Agriculture, Livelihoods, agriculture
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