ICAR Research Data Repository for Knowledge Management

This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Dogoyena Climate Smart Village (Ethiopia) in December 2020.

• adoption of CSA practices and technologies, as well as access to climate information services and
  
• their related impacts at household level and farm level
  

1. Who within each CSV community adopts which CSA technologies and practices and which are their motivations, enabling factors? To which extent farmers access and use climate information services?



2. Which are the gender-disaggregated perceived effects of CSA options on farmers’ livelihood, agricultural, food security 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).



3. Which are the CSA performance, synergies and trade-offs found at farm level?



(Note that this 3d. question was not addressed in this specific Doyogena 2020 monitoring, as farm level data were not collected)






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):








• 7 Core Uptake indicators (they track CSA Implementation and adoption drivers; CSA dis-adoption and drivers; Access to climate information services and agro-advisories, Capacity to use them and constraining factors).


• 10 Core Outcome indicators (they track farmers perceptions on the effects of CSA practices on their Livelihoods, Food Security and Adaptive Capacity and on Gender dimensions.
  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 labor, Decision making and control on CSA generated income).








• An additional set of complementary Extended indicators allows to determine and track changes in enabling conditions and farmers characteristics such as: Livelihood security, Financial enablers, Food security, Frecuency of climate events, Coping strategies, Risk Mitigation Actions, Access to financial services and Training, CSA Knowledge and Learning.

At farm level, 7 CORE indicators

• 7 Core indicators are used to determine the CSA performance of the farms as well as synergies and trade-offs among the three pillars (productivity, adaptation and mitigation, via farm model analysis).









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.




For the implementation in the context of the EU-IFAD/CCAFS project, some slight changes were made to the questionnaire in order to focus the data collection on tackling:






• The impacts of Climate events


• Farmers’ access and use of CIS


• Farmer’s implementation of CSA practices, and


• the perceived household level outcomes related to the implementation of CSA practices in the two targetted Ethiopian CSVs.





The adjusted survey questionnaire includes the following thematic modules:


-M1A Demographic (few additional questions not included in the “MASTER” CSA monitoring questionnaire were added coming from Rhomis)


-M1D Financial services (reduced set of original questions from the Financial Master)


-M2, Climate events (no changes made)


-M3, Climate Information Services


-M5, CSA practices (no changes made)




** The Module Food Security from the Master questionnaire of the CSA framework was not included. Information on Food security captured using RhOMIS.