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USING SEASONAL FORECASTS TO IMPROVE
SMALL FARMERS’ RESILIENCE AND
ADAPTATION TO CLIMATE CHANGE AND FOOD
SECURITY IN YATENG...
CONTENTS
1 Issue
2 Objectives
3 Methodology
4 Results and Discussion
5 Conclusions and Recommendations
THE PROBLEM
 Burkina Faso undergoes a great spatial temporal variability of
rainfalls.
 Impossible to ensure sustainable...
OBJECTIVES
 To make a forecast of the 2014 rainy season on
the basis of endogenous knowledge
 To inform and train produc...
METHODOLOGY
 Selection of agricultural sectors
Cowpea and sesame sectors were identified according to their
strategic rol...
METHODOLOGY
The dissemination of the information to the users
was made through a participatory
workshop held at the beginn...
METHODOLOGY
Study site
17 villages :
11 experimental
06 control
Study sample
170 farms
10 per village
METHODOLOGY
 Data collection
Agricultural yield data were collected in squares.
Secondary data on cowpea and sesame secto...
RESULTS
 Endogenous seasonnal climate forecasts in 2014
Villages
(2)
Forecasts Endogenous Indicators and Trends
Tibtenga
...
RESULTS
 Endogenous seasonnal climate forecasts in 2014
Villages
(2)
Forecasts Endogenous Indicators and Trends
Watinoma
...
RESULTS
 Endogenous seasonnal climate forecasts in 2014
Villages (7) Forecasts Endogenous Indicators and Trends
Lemnogo
R...
RESULTS
 PRESAO 2014 seasonal climate forecasts for JJ A
RESULTS
 PRESAO 2014 seasonal climate forecasts for J A S
RESULTS
 Actual Assessment of the 2014 rainy season in Yatenga
- normal to early start of the rainy season in the region;...
RESULTS
 Some socio-economic results
66.9% of surveyed are men against 33.1% of women.
Majority of the surveyed have no e...
RESULTS
 Impact of the climate information on the cowpea and sesame
Yield
 *
Exp Cont Difference
(Exp –cont)
Are. (ha)
C...
FINDINGS AND RECOMMANDATIONS
 Surveys show that climate information is an essential
element of food security in the curre...
THANK YOU SO MUCH
MERCI BEAUCOUP
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Using seasonal forecasts to improve small farmers’ resilience and adaptation to climate change and food security in Yatenga northern Burkina Faso, L. Some

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L. Some (Institut de l'environnement et de recherches agricoles, Ouagadougou, Burkina Faso) at the Our Common Future Under Climate Change conference, July 7-10 in Paris, France.

More at http://www.commonfuture-paris2015.org/

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Using seasonal forecasts to improve small farmers’ resilience and adaptation to climate change and food security in Yatenga northern Burkina Faso, L. Some

  1. 1. USING SEASONAL FORECASTS TO IMPROVE SMALL FARMERS’ RESILIENCE AND ADAPTATION TO CLIMATE CHANGE AND FOOD SECURITY IN YATENGA NORTHERN BURKINA FASO DIALLO, F.;BATIONO, B A; BAKI, G.; BARRY, S., KABORE, N.; SANOU, J.; SOME, B.; WEREME, A.;OUEDRAOGO M.; ZOUGMORE, R. et SOME, L.* Léopold SOME; Agroclimatologue à INERA, Burkina Faso Email: bsomel@yahoo.fr
  2. 2. CONTENTS 1 Issue 2 Objectives 3 Methodology 4 Results and Discussion 5 Conclusions and Recommendations
  3. 3. THE PROBLEM  Burkina Faso undergoes a great spatial temporal variability of rainfalls.  Impossible to ensure sustainable development of agricultural productions and hope to achieve Food Security.  The present collaborative project between ICRISAT and INERA address this major concern of farmers through a socioeconomic assessment tool for the impact of the seasonal climate forecasts provided to specific actors and compared with others taken as control.  The cowpea and sesame sectors which are currently being developed under a project in Yatenga, have been selected for the study on how to integrate efficiently smart agriculture practices and options to address vulnerability to climate.
  4. 4. OBJECTIVES  To make a forecast of the 2014 rainy season on the basis of endogenous knowledge  To inform and train producers on the technical services’ 2014 seasonal climate forecasts (PRESAO);  To evaluate the productivity of cowpea and sesame sectors in Yatenga area in Burkina Faso
  5. 5. METHODOLOGY  Selection of agricultural sectors Cowpea and sesame sectors were identified according to their strategic role in the country and the existence of support measures  Selection of the technology On the basis of PRESAO forecasts (Seasonal forecasts in West Africa) and the endogenous forecasts for each village, we could establish a probable trend of the rainy season for Yatenga area. The production of climate information was made by a multidisciplinary technical group for climate information and agro- advisories tailored to the farmers’ needs.
  6. 6. METHODOLOGY The dissemination of the information to the users was made through a participatory workshop held at the beginning of the rainy season and a daily radio program broadcast in the local language and in French.
  7. 7. METHODOLOGY Study site 17 villages : 11 experimental 06 control Study sample 170 farms 10 per village
  8. 8. METHODOLOGY  Data collection Agricultural yield data were collected in squares. Secondary data on cowpea and sesame sectors were also collected through a literature review and semi-structured interviews.  Data analysis: data were analyzed using SPSS software
  9. 9. RESULTS  Endogenous seasonnal climate forecasts in 2014 Villages (2) Forecasts Endogenous Indicators and Trends Tibtenga Saya a deficit rainy season - At night stars so-called small bears appear and in the morning blows a wind coming from east instead of a wind coming from west. - a succession of hot days and cold nights (high amplitude) - Red insects in the seed planting holes that come to lift - At July 9, 2014, they have not yet recorded the arrival of migratory birds called Wala (probably cycognes)
  10. 10. RESULTS  Endogenous seasonnal climate forecasts in 2014 Villages (2) Forecasts Endogenous Indicators and Trends Watinoma Bagayalgo an average rainy season - The fig tree (Ficus g.) in the village has a middle and late fruiting this year shea trees have an average fruiting On the site for traditional rites of the nearby village of Lougri mushrooms have grown moderately this year Many black ants swarming reflects a deficit of rainy season, this year the number of ants is average. At July 9 the crocodile in the shallows of
  11. 11. RESULTS  Endogenous seasonnal climate forecasts in 2014 Villages (7) Forecasts Endogenous Indicators and Trends Lemnogo Ramdolla Silga Dessè Kononga Faogoudo Tougou Good rainy season - Good fruiting trees such as Shea trees, Sclerocaria birrea and Lamnea microcarpa in two phases on the same tree (one side in fruit; the other in flower) - Some birds make their nests in the treetops - Bees: abundant honey production this year (good harvest) - Ants tend to move from the lowlands to the highlands Ants come out reserves seeds from their anthills Abundant occurrence of insects centipede
  12. 12. RESULTS  PRESAO 2014 seasonal climate forecasts for JJ A
  13. 13. RESULTS  PRESAO 2014 seasonal climate forecasts for J A S
  14. 14. RESULTS  Actual Assessment of the 2014 rainy season in Yatenga - normal to early start of the rainy season in the region; excess to normal total rainfall in the region; - later to normal end dates ; - shorter to equal to the average post seeding dry spells ; - longer to equal to the average dry spells after heading and flowering. ; -a good rainy season in compliance with the endogenous forecasts (7 out of 11 villages)
  15. 15. RESULTS  Some socio-economic results 66.9% of surveyed are men against 33.1% of women. Majority of the surveyed have no education 52.1% of heads of farms. Average area for each crop : 3.19 ha for millet; 0.87 ha for sorghum; 0.32 ha for sesame and 0.26 ha for cowpea. Cowpea producers surveyed have over 5 years experience in cowpea production. 60.24% have started producing sesame there is less than five (5) and 23% of farmers cultivate sesame for 5 to 10 years.
  16. 16. RESULTS  Impact of the climate information on the cowpea and sesame Yield  * Exp Cont Difference (Exp –cont) Are. (ha) Cowpea Yiel (kg/ha) 0,26 875 0,22 683 0,04 193 Are (ha) Sesame Yiel (kg/ha) 0,34 544 0,29 568 0,05 -23.59
  17. 17. FINDINGS AND RECOMMANDATIONS  Surveys show that climate information is an essential element of food security in the current context  They allow better planning of agricultural activities.  Use of seasonal forecasts has led an improvement in the management of agricultural inputs resulting in improved agricultural productivity, incomes and resilience to CC.  .it would be desirable to provide every village with a rain gauge, given the large spatial variability of rainfall, for closer monitoring of farmers..
  18. 18. THANK YOU SO MUCH MERCI BEAUCOUP

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