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Enhancing Climate Smart
Agriculture in Nyando through
innovative partnerships, decision
support tools and Climate
Informat...
The Problem
• Climate risk contributes to chronic poverty,
food insecurity and vulnerability
• Opportunities to help farme...
Climate Information Service
• Is the dissemination of climate information to
the decision maker or user.
• Purpose is to i...
Farmers’ decisions ahead of a season
usually consider ...
Improved understanding leads to better decisions
soil properties...
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 ...
Specific objectives
4. To identify gaps in climate services
and develop new products that meet
the needs of farmers.
5. To...
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 ...
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...
Achievements in 2013
• Stakeholder inception meeting
• Partnership building has started
• Data for Kisumu and Kericho Met ...
Next steps
• Improve seasonal forecast downscaling
• Install of 45 rain gauges
• Farmer experimentation MAM 2014 season
• ...
Climate services for nyando ccafs planning meeting dec 2013
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Climate services for nyando ccafs planning meeting dec 2013

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This is a Presentation on Enhancing Climate Smart Agriculture in Nyando through innovative partnerships, decision support tools and Climate Information Services

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Climate services for nyando ccafs planning meeting dec 2013

  1. 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. 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. 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. 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. 5. Main Objective • to build the capacity of the smallholder farmers to manage climate risks and to adapt to climate change
  6. 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. 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
  8. 8. Conceptual framework 8
  9. 9. Keywords CLIMATE SMART AGRICULTURE PARTNERSHIPS DECISION SUPPORT TOOLS (DSTs) CLIMATE INFORMATION SERVICES
  10. 10. PARTNERSHIPS
  11. 11. Role of partners
  12. 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. 13. Downscaling and Communicating Seasonal and Short Term Forecasts Integrating with agricultural advisories
  14. 14. Soil Analysis, Rain Gauge Installation, Farmer Experimentation
  15. 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. 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. 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

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