Multi-level monitoring framework for Climate-Smart Agriculture (CSA) options* at the CSV Hoima (Uganda) - Implementation 2018

*CSA Options = practices, agricultural technologies and climate-adapted services.

Objective

As part of the Learning Platform 2, on participatory evaluation of CSA practices and portfolios in Climate-Smart Villages, CCAFS Flagship 2 developed the CSV Multilevel Monitoring Plan. Designed to support global evidence building of viable climate smart agricultural practices and technologies, this plan is supported by a multilevel CSA framework associated to a robust, costeffective and user friendly ICT-based instrument that can be rapidly, reliably and systematically deployed across the global CCAFS Climate-Smart Villages network to collect and track CSA adoption and outcomes in the field.

The CSV Monitoring aims to annually gather evidence on CSA at three different levels:

NOTE:

The objective of this exercise, as the name implies, is to monitor a sub-sample of homes in the Climate-Smart Village where the CCAFS program has been developing its participatory evaluations, and to follow its evolution over time for the purpose of Research and learning.

It is not for any reason an Impact Evaluation exercise and therefore the results obtained cannot be extrapolated nor should they be interpreted as a reflection of the situation of the group of inhabitants of the region.

Main research questions

The monitoring framework responds to three main research questions:

  • Who within each CSV community adopts which CSA technologies and practices (typology of adopting farmers) and which are their mmotivations, enabling/constraining factors?

  • Which 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)

  • Which are the CSA performance, synergies and trade-offs found at farm level? (whole farm model analysis).

This new CSA monitoring framework proposes a set of:

  • Standard Descriptive Indicators to track changes in different enabling conditions or dimensions that may affect adoption patterns, and

  • A set of Basic or main indicators at the household level to assess producers’ perceptions of the effects of CSA practices on: food security, productivity, income and climate vulnerability of household and several gender-specific basic indicators

  • and another set of main indicators at farm level , to determine the performance of the farms where there is adoption, in terms of the three CSA pillars, as well as the synergies and compensations or disjunctive between them

Data Collection tool

This integrated CSA monitoring framework is associated with an app (Geofarmer) that guarantees efficient data collection and allows information to be captured in almost real time.

Figure 1. Design of question trees, with logical connectors and survey end point.

This application houses a solid and flexible questionnaire structured around different thematic modules connected to specific indicators (Figure 2)

Therefore, depending on your interests, the user can decide the total or partial use of the modules.

  • Farmer and household registration
  • Demographic
  • Climate shocks
  • Climate services
  • Livelihood security & financial services
  • Food security
  • Climate-smart options
  • Farm Calculator
  • Crop calculator
  • Animal Calculator
Figure 2. View of main screens of the Smart (GeoFarmer) mobile App

Indicator calculations Hoima (Uganda)

Following completion of the data collection in 2018, the CCAFS Flagship 2 Monitoring team developed a script R language to calculate the descriptive statistics and standard indicators of the CSA Monitoring framework which can be visualized through the links to pages topics presented below. Hoima (Uganda),

Web pages Hoima (Uganda)
Summary http://rpubs.com/g-bejarano/HoimaDatosGenerales
Livelihoods http://rpubs.com/g-bejarano/HoimaMediosDeVida
Livelihoods http://rpubs.com/g-bejarano/HoimaServiciosFinancieros
Food security http://rpubs.com/g-bejarano/HoimaSeguridadAlimentaria
Weather events http://rpubs.com/g-bejarano/HoimaEventosClimaticos
CSA Practices http://rpubs.com/g-bejarano/HoimaPracticasCSA
Climate services http://rpubs.com/g-bejarano/HoimaServiciosClimaticos

Referencias

References Eitzinger, Anton, James Cock, Karl Atzmanstorfer, Claudia R Binder, Peter L?derach, Osana BonillaFindji, Mona Bartling, Caroline Mwongera, Leo Zurita, and Andy Jarvis. 2019. “GeoFarmer : A Monitoring and Feedback System for Agricultural Development Projects.” Computers and Electronics in Agriculture 158 (June 2018): 109-21. https://doi.org/10.1016/j.compag.2019.01.049.

2019-12-20