2021- CSA Monitoring: Hoima Climate-Smart Village (Uganda)
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
2021- CSA Monitoring: Hoima Climate-Smart Village (Uganda)
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Identifier |
https://doi.org/10.7910/DVN/ELLGKB
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Creator |
Bonilla-Findji, Osana
Eitzinger, Anton Andrieu, Nadine Läderach, Peter Recha, John Ambaw, Gebermedihin Kakeeto, Ronald |
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Publisher |
Harvard Dataverse
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Description |
The CSA framework allows to address three key research questions:
The CSA framework proposes a small set of standard Core Indicators linked to the research questions, and Extended indicators covering aspects related to the enabling environment. At household level (17 Core indicators): Those include namely: CSA effect on yield/production, on Income, on Improved Food Access and Food Diversity, on Vulnerability to weather related shocks and on Changes in agricultural activities induced by access to climate information. Four are Gender related Outcome indicators (Decision-making on CSA implementation or dis-adoption, Participation in CSA implementation, CSA effect on labour, Decision making and control on CSA generated income). At farm level, 7 CORE indicators This integrated framework (Bonilla-Findji et al 2021).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 (M1A Demographic, M1B Farming system, M1C Financial services, M2 Climate events, M3, Climate Information Services, M4 Food Security, M5 CSA practices; Farm Calculator, Crop calculator and Animal Calculator) whose questions allow assessing standard CSA metrics and the specific. / |
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Subject |
Agricultural Sciences
Earth and Environmental Sciences Monitoring Climate Smart Agriculture Households Livelihoods Farmers Adaptation Food Security Climate Shocks |
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Language |
English
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Date |
2022-01-17
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Contributor |
Moreno Bustamante, Manuel Francisco
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Type |
Survey data
Socio-economic Data Geographic Data Environmental Data Capacity Building |
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