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Enhancing Climate Smart
Agriculture in Nyando through
innovative partnerships, decision
support tools and Climate
Information Services
Nyando CCAFS Site Review and Planning workshop
17-18th December, 2013
The Vic Hotel, Kisumu, Kenya
The Problem
• Climate risk contributes to chronic poverty,
food insecurity and vulnerability
• Opportunities to help farmers cope with
current climate and adapt to a future climate
depend on information
Climate Information Service
• Is the dissemination of climate information to
the decision maker or user.
• Purpose is to interpret and apply for decision
making.
Farmers’ decisions ahead of a season
usually consider ...
Improved understanding leads to better decisions
soil properties?
historical climate?
crops requirements?
future markets?
future climate?
past markets?
Main Objective
• to build the capacity of the smallholder
farmers to manage climate risks and to adapt
to climate change
Specific objectives
1. To build partnerships between farmers,
researchers, extension agents, NMS, agro-
dealers and media to strengthen farmers’
capacity to manage agricultural climate
risks and adapt to climate change.
2. To apply DSTs to enhance farm-level
decision making, climate risk assessment
and analysis of coping and adaptation
options.
3. To promote wider use of DSTs by
making it easy to access and process input
data from various sources.
6
Specific objectives
4. To identify gaps in climate services
and develop new products that meet
the needs of farmers.
5. To develop communication
strategies that enhance farmers’
capacity to manage climate-related
risks.
7
Conceptual framework
8
Keywords
CLIMATE SMART AGRICULTURE
PARTNERSHIPS
DECISION SUPPORT
TOOLS (DSTs)
CLIMATE INFORMATION
SERVICES
PARTNERSHIPS
Role of partners
Kisumu Met Station MAM analysis
Start of MAM Rain including a dry spell condition
(First day after 1st March with 20mm in 4 days, dry spell not exceeding 7 days in 30 days)
year
2020201020001990198019701960
14 Apr
9 Apr
4 Apr
30 Mar
25 Mar
20 Mar
15 Mar
10 Mar
5 Mar
Analysis to be
done for other
stations
Downscaling and Communicating
Seasonal and Short Term Forecasts
Integrating with agricultural advisories
Soil Analysis, Rain Gauge Installation, Farmer
Experimentation
Farmers Climate and Crop Calendar
AUG SEP OCT NOV DEC JAN FEB MAR APR MAY
Plan for the
season
Get Seasonal
Forecast
Manage your Crop
and Soil
Farm records
Harvest
Add value
Market
Manage your
Crop and Soil
Farm records
Know
your
Crop and
Soil
Get forecast
updates
Know your
past climate
Review Season
Prepare land
Measure rain
Prepare land
Get forecast
updates
Measure rainMeasure rainMeasure rain
Get Seasonal
Forecast
Achievements in 2013
• Stakeholder inception meeting
• Partnership building has started
• Data for Kisumu and Kericho Met Stations
analysed
• Trained 40 farmers in the three CBOs
• Resource allocation maps 40 farmers
• Crop modelling has started
• Crop climate requirements compiled by KARI
Next steps
• Improve seasonal forecast downscaling
• Install of 45 rain gauges
• Farmer experimentation MAM 2014 season
• Climate data analysis for extra stations
• Soil analysis in 40 farms
• Participatory Crop Modelling in Jan 2014
• Development of climate products and services
and communication approaches
• Farmer training manuals
• Scientific publications
Climate services for nyando ccafs planning meeting dec 2013

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Climate services for nyando ccafs planning meeting dec 2013

  • 1. Enhancing Climate Smart Agriculture in Nyando through innovative partnerships, decision support tools and Climate Information Services Nyando CCAFS Site Review and Planning workshop 17-18th December, 2013 The Vic Hotel, Kisumu, Kenya
  • 2. The Problem • Climate risk contributes to chronic poverty, food insecurity and vulnerability • Opportunities to help farmers cope with current climate and adapt to a future climate depend on information
  • 3. Climate Information Service • Is the dissemination of climate information to the decision maker or user. • Purpose is to interpret and apply for decision making.
  • 4. Farmers’ decisions ahead of a season usually consider ... Improved understanding leads to better decisions soil properties? historical climate? crops requirements? future markets? future climate? past markets?
  • 5. Main Objective • to build the capacity of the smallholder farmers to manage climate risks and to adapt to climate change
  • 6. Specific objectives 1. To build partnerships between farmers, researchers, extension agents, NMS, agro- dealers and media to strengthen farmers’ capacity to manage agricultural climate risks and adapt to climate change. 2. To apply DSTs to enhance farm-level decision making, climate risk assessment and analysis of coping and adaptation options. 3. To promote wider use of DSTs by making it easy to access and process input data from various sources. 6
  • 7. Specific objectives 4. To identify gaps in climate services and develop new products that meet the needs of farmers. 5. To develop communication strategies that enhance farmers’ capacity to manage climate-related risks. 7
  • 9. Keywords CLIMATE SMART AGRICULTURE PARTNERSHIPS DECISION SUPPORT TOOLS (DSTs) CLIMATE INFORMATION SERVICES
  • 12. Kisumu Met Station MAM analysis Start of MAM Rain including a dry spell condition (First day after 1st March with 20mm in 4 days, dry spell not exceeding 7 days in 30 days) year 2020201020001990198019701960 14 Apr 9 Apr 4 Apr 30 Mar 25 Mar 20 Mar 15 Mar 10 Mar 5 Mar Analysis to be done for other stations
  • 13. Downscaling and Communicating Seasonal and Short Term Forecasts Integrating with agricultural advisories
  • 14. Soil Analysis, Rain Gauge Installation, Farmer Experimentation
  • 15. Farmers Climate and Crop Calendar AUG SEP OCT NOV DEC JAN FEB MAR APR MAY Plan for the season Get Seasonal Forecast Manage your Crop and Soil Farm records Harvest Add value Market Manage your Crop and Soil Farm records Know your Crop and Soil Get forecast updates Know your past climate Review Season Prepare land Measure rain Prepare land Get forecast updates Measure rainMeasure rainMeasure rain Get Seasonal Forecast
  • 16. Achievements in 2013 • Stakeholder inception meeting • Partnership building has started • Data for Kisumu and Kericho Met Stations analysed • Trained 40 farmers in the three CBOs • Resource allocation maps 40 farmers • Crop modelling has started • Crop climate requirements compiled by KARI
  • 17. Next steps • Improve seasonal forecast downscaling • Install of 45 rain gauges • Farmer experimentation MAM 2014 season • Climate data analysis for extra stations • Soil analysis in 40 farms • Participatory Crop Modelling in Jan 2014 • Development of climate products and services and communication approaches • Farmer training manuals • Scientific publications