Assessing and responding to vulnerability in value chains: rapid methods

Prioritizing locally appropriate CSA optionsCaroline MwongeraFarming Systems & Climate Change ScientistInternational Center for Tropical Agriculture (CIAT)February 2016

Prioritizing options: The CSA-RA Tool

Bioclimatic vars (worldclim)

Constraints, priorities and needs differ according to the context and among different groups…

CSA-RA MethodologyCSA-RA Methodology

Farming systems Community resources Land & Soil health Key organizations Historical trends Agricultural challenges Current options Barriers & constraints to

adoption of new interventions

Existing Extension models (e.g. demo plots, Farmer groups)

HH size, farm size HH food sufficiency Labor (HH & hired) Production (crop/livestock)

Yield HH consumption Sales

Off farm income Remittances, donations,

savings HH expenses Agricultural inputs

The CSA-RA Methodology

o Crop & Livestock gender association

o Opportunities for: Women Men Youth

o Institutions targeting/working with different groups

Context analysis: Integrating participatory and systematic methods

Climate vulnerability & Impacts

Erosion prevalence across Nwoya district, Uganda

The CSA-RA: Context analysisUnderstanding gendered perceptions & priorities Mapping partnerships for outscaling

Crop Association (%) to Men and Women in Gulu, Uganda

Famer perception of soil fertility

Kilolo, TanzaniaNwoya, Uganda

Land & Soil Health Assessment

• Land Degradation Surveillance Framework (LDSF)

• Developed at ICRAF by Tor Vågen et al., (2005)

Identify Gaps in Awareness & Use of agriculture technologies

Awareness & Use of agriculture technologies is still low!

Prioritize locally appropriate CSA options by Gender & Agro-Ecology

Prioritization of agricultural practices in Lushoto, Tanzania

• Indicators used by farmers to prioritize agriculture technologies in lowland zone

• Scale of 1 to 5, where 5 is most important

Indicator ScoreYield 5Income 4Food security 5Weed control 5Soil fertility 1

Technical knowledge 3

Climate change 3

Labor availability 5

Capital/cost 4Pest and disease control 5

Availability of equipment 3

Predicted Adoption rates & Impacts in maize Cropping Systems in Lushoto, Tanzania

Manure

48%

51%

Fertilizer

Analyze Trade-offs & Impacts of Prioritized options

Mean net farm income increases by a minimum 47% (fertilizer) per farm per year

% of Vulnerable farms decreases by up to 50%

Policy/Research forums (AEDD)

Tracking & Outscaling AdoptionParticipatory Monitoring - CSA Implementer & 5Q approach

National & District Learning alliances

CSA Implementer•Register farmer in a database•Take mobile KAS surveys (Knowledge/Attitude/Skills)•Deliver CSA Information to facilitators and farmers•Collect map information

Farmer give feedback by responding to automatedphone-surveysvotomobile•Collect farmers voice through feedback surveys•Deliver CSA knowledge to farmers (text/voice)

Project managers create structured feedback for agricultural development projects5Q platform

Uganda• 2014: CSA-RA in 4 Districts in IFAD grant PRELNOR

project site 2014 - 2016• 2014-2016: 5 CSA Demonstration plots & trainings • National and District Learning Alliances & Policy

dialogue Platforms

Kenya• 2016: CSA-RA to be used for prioritizing adaptation

options in 15 counties

Tanzania

CSA-RA Prioritization in Action

Practices prioritized with experts &

farmers by gender and by AEZ

Trade-off analysis of prioritized options

Cost-benefit analysis of options

Create implementation and

business plans

• 2014: CSA-RA in 4 Districts in the Southern Agricultural Growth Corridor of Tanzania (SAGCOT)

• 2014-2016: CSA Demonstration trainings • National and District Learning Alliances & Policy

dialogue Platforms

THANK YOU!

http://dx.doi.org/10.7910/DVN/28703