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Progress and gaps
Getting climate
information to farmers:
Dr Robert Zougmorรฉ
Africa Program Leader
CCAFS webinar on Climate Change and Agricultural
Development, 1 February 2017, Portugal
Outline
1. Climate variability and extremes:
impacts on agriculture
2. Approaches and practices of Climate
information services
3. Progress on CIS dissemination for
farmers decision making
๏‚งCIS use and impact in Ghana, Burkina Faso
and Senegal
4. Current gaps
โ€ข Temperature rise of โ‰ˆ0.6-0.7 ยฐC since late 70's
โ€ข Largely higher than the global increase
โ€ข Sea level rise of 18 cm during the 20th century
I
For the last 100 years: Unequivocal temperature rise
Global terres รฉmergรฉesGlobal
Anomaliedetempรฉrature(ยฐC)
Anomaliedetempรฉrature(ยฐC)
Anomaliedetempรฉrature(ยฐC)
Anomaliedetempรฉrature(ยฐC)
Anomaliedetempรฉrature(ยฐC)
aliedetempรฉrature(ยฐC)
aliedetempรฉrature(ยฐC)
aliedetempรฉrature(ยฐC)
Global
Anomaliedetempรฉrature(ยฐC)
Anomaliedetempรฉratur
Anomaliedetempรฉrature(ยฐC)
Anomaliedetempรฉrature(ยฐC)
Anomaliedetempรฉrature(ยฐC)
After Benoit SARR, Aghrymet
Climate variability & change : facts!
To 2090, taking 18
climate models
Four degree rise
Thornton et al. (2010) Proc. National Academy Science
>20% loss
5-20% loss
No change
5-20% gain
>20% gain
Length of growing
period (%)
Length of growing season
is likely to decline..
Responses to variability and change
DecadesDays
Responses
Shortterm
management
Longterm
Adaptation
Tactical
decisions
Seasonal
planning
Strategic
planning
Land preparation,
planting, irrigation,
fertilisation
Land allocation,
Crop livestock
mixes, varieties
Enterprise and
livelihood shifts
How climate information services
are disseminated to farmers
North Ghana
Climate services
delivered through
mobile phones
(ESOKO)
Climate services
delivered through
PICSA (Participatory
Integrated Climate
Services for
Agriculture)
Senegal
CCAFS scientists
collaborated with the
Meteorological
Agency to develop
downscaled CIS and
to communicate them
to farmers through
radios programs and
mobile phones
North
Burkina
CIS
communicated to
farmers through
rural radio
programs and
training
workshops
7000 farmers 1.2 million farmers 7 million farmers
Seasonal forecast
๏ƒ˜ crop variety
๏ƒ˜ varieties
Onset forecast
๏ƒ˜ farm preparation
๏ƒ˜ optimum planting
Nowcasting
๏ƒ˜ flooding saving life (thunder)
Daily forecast
๏ƒ˜ use of fertilizer / pesticide
Ten-day forecast
๏ƒ˜ weeding, field work
Updating seasonal forecast
๏ƒ˜ second cropping
Ten-day forecast
๏ƒ˜ optimum harvesting
period
๏ƒ˜ rain during dry season
Before During cropping season Maturity/end season
CCAFS working with country partners to develop
downscaled seasonal and weather forecasts
65
86
64
71
0
10
20
30
40
50
60
70
80
90
100
What to plant When to plant When to begin
land preparation
When to apply
fertilizer
%farmers
N = 462
In Ghana, access and use of CIS influences farmersโ€™
decision-making
91 89
78
94
0
10
20
30
40
50
60
70
80
90
100
Reduced crop
failure
Increased crop
yield
Improved
input use
efficiency
Improved
overall
productivity
%farmers
In Ghana, access and use of CIS may improve farm productivity and
household food availability for poor and marginal farmers
N = 462
Climate-informed farmers change their
farming practices
56
56
51
40
39
36
35
32
30
21
19
13
12
10
4
0 10 20 30 40 50 60
Defining the size of cropping area
Date of hoeing
Selecting variety
Date of weeding
Selecting cropping site
Selecting crop
Date of plowing
Date of sowing
Date of application of NPK
Date of harvesting
Date of pests control
Date of land preparation
Date application of urea
Date of application of organic manure
Date of threshing
Percentage
Changes in farm practices in response to climate forecasts (%)
Effect of climate information on cowpea
yield-CSV BF
847
685
0
100
200
300
400
500
600
700
800
900
Exposed Not exposed
Yield(kg/ha)
N=49 N=27
Effect of climate information on cowpea
crop revenue โ€“ CSV BF
43706
63128
56170
33797
0
10000
20000
30000
40000
50000
60000
70000
Exposed Not exposed Exposed Not exposed
Input Gross margin
FCFA/ha
WTP in F CFA for CI in the CSVs -
Burkina Faso
Farmers are willing to pay for Climate
information in CSV - Burkina Faso
Climate
information
Seasonal forecast Weather forecast Nowcasting
Local working Group
(Issue EWS)
Farmers
Agriculture
Livestock
Local
authority
Extensions
services Forestry
Rural
radio
Seed
growers
Rural radio Text messaging Social gatherings Bulletin
Stakeholders:
expertsanddecisionmakers
Community
Pest Disease
Control
Red Cross
Climate information up-scaled across Senegal
Impact of climate information
services in Senegal
โ€ข Through 82 rural radios,
mobile phone SMS,
seasonal climate forecasts
disseminated at national
level to potentially reaching
7,4 millions rural people
โ€ข Climate information is now
considered as an agricultural
input in Senegal
Current gaps
โ€ข Lack of complete climate data base in countries
๏‚งTo generate village-level tailored CIS
๏‚งTo cover other sub-sectors (Livestock, Fisheries)
โ€ข Public-private business models for CIS dissemination
๏‚งTo enable scalable, sustainable climate service dissemination to
farmers
๏‚งTo take on board specific needs and co-produce differing needs
of men, women and the youth
โ€ข Weak capacity of CIS stakeholders:
๏‚งCapacity of met agencies to technically develop salient CIS
๏‚งCapacity of public and private sector actors to organise
sustainable and large-scale dissemination schemes and
mechanisms of CIS
๏‚งCapacity of CIS users to understand and make the best and
beneficial use of CIS for risk management

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Getting climate information to farmers: progress and gaps

  • 1. Progress and gaps Getting climate information to farmers: Dr Robert Zougmorรฉ Africa Program Leader CCAFS webinar on Climate Change and Agricultural Development, 1 February 2017, Portugal
  • 2. Outline 1. Climate variability and extremes: impacts on agriculture 2. Approaches and practices of Climate information services 3. Progress on CIS dissemination for farmers decision making ๏‚งCIS use and impact in Ghana, Burkina Faso and Senegal 4. Current gaps
  • 3. โ€ข Temperature rise of โ‰ˆ0.6-0.7 ยฐC since late 70's โ€ข Largely higher than the global increase โ€ข Sea level rise of 18 cm during the 20th century I For the last 100 years: Unequivocal temperature rise Global terres รฉmergรฉesGlobal Anomaliedetempรฉrature(ยฐC) Anomaliedetempรฉrature(ยฐC) Anomaliedetempรฉrature(ยฐC) Anomaliedetempรฉrature(ยฐC) Anomaliedetempรฉrature(ยฐC) aliedetempรฉrature(ยฐC) aliedetempรฉrature(ยฐC) aliedetempรฉrature(ยฐC) Global Anomaliedetempรฉrature(ยฐC) Anomaliedetempรฉratur Anomaliedetempรฉrature(ยฐC) Anomaliedetempรฉrature(ยฐC) Anomaliedetempรฉrature(ยฐC) After Benoit SARR, Aghrymet Climate variability & change : facts!
  • 4. To 2090, taking 18 climate models Four degree rise Thornton et al. (2010) Proc. National Academy Science >20% loss 5-20% loss No change 5-20% gain >20% gain Length of growing period (%) Length of growing season is likely to decline..
  • 5. Responses to variability and change DecadesDays Responses Shortterm management Longterm Adaptation Tactical decisions Seasonal planning Strategic planning Land preparation, planting, irrigation, fertilisation Land allocation, Crop livestock mixes, varieties Enterprise and livelihood shifts
  • 6. How climate information services are disseminated to farmers North Ghana Climate services delivered through mobile phones (ESOKO) Climate services delivered through PICSA (Participatory Integrated Climate Services for Agriculture) Senegal CCAFS scientists collaborated with the Meteorological Agency to develop downscaled CIS and to communicate them to farmers through radios programs and mobile phones North Burkina CIS communicated to farmers through rural radio programs and training workshops 7000 farmers 1.2 million farmers 7 million farmers
  • 7. Seasonal forecast ๏ƒ˜ crop variety ๏ƒ˜ varieties Onset forecast ๏ƒ˜ farm preparation ๏ƒ˜ optimum planting Nowcasting ๏ƒ˜ flooding saving life (thunder) Daily forecast ๏ƒ˜ use of fertilizer / pesticide Ten-day forecast ๏ƒ˜ weeding, field work Updating seasonal forecast ๏ƒ˜ second cropping Ten-day forecast ๏ƒ˜ optimum harvesting period ๏ƒ˜ rain during dry season Before During cropping season Maturity/end season CCAFS working with country partners to develop downscaled seasonal and weather forecasts
  • 8. 65 86 64 71 0 10 20 30 40 50 60 70 80 90 100 What to plant When to plant When to begin land preparation When to apply fertilizer %farmers N = 462 In Ghana, access and use of CIS influences farmersโ€™ decision-making
  • 9. 91 89 78 94 0 10 20 30 40 50 60 70 80 90 100 Reduced crop failure Increased crop yield Improved input use efficiency Improved overall productivity %farmers In Ghana, access and use of CIS may improve farm productivity and household food availability for poor and marginal farmers N = 462
  • 10. Climate-informed farmers change their farming practices 56 56 51 40 39 36 35 32 30 21 19 13 12 10 4 0 10 20 30 40 50 60 Defining the size of cropping area Date of hoeing Selecting variety Date of weeding Selecting cropping site Selecting crop Date of plowing Date of sowing Date of application of NPK Date of harvesting Date of pests control Date of land preparation Date application of urea Date of application of organic manure Date of threshing Percentage Changes in farm practices in response to climate forecasts (%)
  • 11. Effect of climate information on cowpea yield-CSV BF 847 685 0 100 200 300 400 500 600 700 800 900 Exposed Not exposed Yield(kg/ha) N=49 N=27
  • 12. Effect of climate information on cowpea crop revenue โ€“ CSV BF 43706 63128 56170 33797 0 10000 20000 30000 40000 50000 60000 70000 Exposed Not exposed Exposed Not exposed Input Gross margin FCFA/ha
  • 13. WTP in F CFA for CI in the CSVs - Burkina Faso Farmers are willing to pay for Climate information in CSV - Burkina Faso
  • 14. Climate information Seasonal forecast Weather forecast Nowcasting Local working Group (Issue EWS) Farmers Agriculture Livestock Local authority Extensions services Forestry Rural radio Seed growers Rural radio Text messaging Social gatherings Bulletin Stakeholders: expertsanddecisionmakers Community Pest Disease Control Red Cross Climate information up-scaled across Senegal
  • 15. Impact of climate information services in Senegal โ€ข Through 82 rural radios, mobile phone SMS, seasonal climate forecasts disseminated at national level to potentially reaching 7,4 millions rural people โ€ข Climate information is now considered as an agricultural input in Senegal
  • 16. Current gaps โ€ข Lack of complete climate data base in countries ๏‚งTo generate village-level tailored CIS ๏‚งTo cover other sub-sectors (Livestock, Fisheries) โ€ข Public-private business models for CIS dissemination ๏‚งTo enable scalable, sustainable climate service dissemination to farmers ๏‚งTo take on board specific needs and co-produce differing needs of men, women and the youth โ€ข Weak capacity of CIS stakeholders: ๏‚งCapacity of met agencies to technically develop salient CIS ๏‚งCapacity of public and private sector actors to organise sustainable and large-scale dissemination schemes and mechanisms of CIS ๏‚งCapacity of CIS users to understand and make the best and beneficial use of CIS for risk management

Editor's Notes

  1. The second challenge for agriculture relates to climate change adaptation. And if there is a single graph to show this challenge then it is this one for SSA. Thornton from ILRI uses a four degree temperature rise scenario, which based on current commitments to reduce GHGs is a distinct possibility. By 2090 vast areas of Africa will have experienced >20% reduction in growing season length. And huge areas 5-20% reduction. Almost no areas have rises in growing season. This illustrates the magnitude of potential impacts on agriculture from climate change.
  2. Climate variability occurs at different time scales hence influences the decisions taken at different timesteps. Most impacts can be managed using existing climate-smart technologies. However, targeting these technologies with due consideration to risks and opportunities and local needs is the important first step. Climate information of different timescales plays an important role in planning farm operation in way that reduces risk and assists in capitalizing opportunities.
  3. This slide explains how the climate information can be used along the growing cycle. We try to provide climate information to support farmers in their decision making along the rainy season.
  4. About 51% of farmers selected crop variety, 56% selected the date of hoeing and the size of plot based on the climate information they received
  5. Cowpea producers exposed to CI obtained higher yields (847 kg/ha on average compared to 685 kg/ha for the control group).
  6. Savings in seed led to lower input costs. Consequently, gross margin is much greater for climate-aware farmers.
  7. About 53% of farmers accepted to pay in average 10 463 F CFA to get the seasonal forecast and 54% are willing to pay in average 4 833 F CFA for the daily climate information
  8. This is the partnership put in place to disseminate the climate information through the GTP, from national level up to the end users. The national met office designs and shares the CI to the GTP who translates it into actionable agro-advisories before disseminating it through various channels, including the rural radios of URACS.
  9. Training representatives of 82 rural community radios to understanding climate information and its jargon + dissemination through radio programs