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A Partner
of
Agricultural Water Management Technology Expansion and
Impact on Crop Yields in Northern Burkina Faso (1980-
2010): A Synthesis of Various Evidence
Barron , J., Morris, J., Ouedraogo, I.
this work is based on the V1 ‘Targeting and scaling out’ project led by SEI in
partnership with INERA, University of Ouagadougou, CSIR-SARI and KNUST, and the
FP7 WHaTeR project in cooperation with Stockholm Resilience Centre, Stockholm
University and INERA
Andes • Ganges • Limpopo • Mekong • Nile • Volta
MAIN MESSAGES
• Multiple evidence of province-scale adoption rates of at least 20-40%,
and a minimum of 10-20 % in other provinces with >700 mm since
1990s
• Regional cereal yields and adoption of soil water conservation and
small reservoir expansion have with similar rates of increase (ca 3%)
• The causality at scale between agricultural water management
adoption, crop yields and poverty /food security impacts needs further
evidence
• There are multiple methods to develop knowledge on adoption of
AWM technologies, but current data is not summarised for efficient use
in research or policy
Andes • Ganges • Limpopo • Mekong • Nile • Volta
BACKGROUND
Parts of Sudano-Sahel and Sahel have + 10 years of
‘re-greening –land degradation debate: are landscapes
changing by climate or by humans? And in which direction?
Douxchamps et al (2012): Little systematic evidence about successful scaling
out of AWM technologies
Andes • Ganges • Limpopo • Mekong • Nile • Volta
PURPOSE of STUDY
Quantify the areal extent of AWM adoption at sub-national scale (region)
in northern Burkina Faso
Assess the impact of AWM expansion on crop production and poverty
(causal link)
Andes • Ganges • Limpopo • Mekong • Nile • Volta
APPROACH
Different sources of data:
National statistics (agricultural census)
Remote sensing analysis (ASTER)
Peer-reviewed and grey literature
Collation to region level,
comparison of trendlines
of normalised data
Andes • Ganges • Limpopo • Mekong • Nile • Volta
1. RESULTS: Remote sensing (2006 ASTER data)
Ouahigouya (%) Kaya (%)
Settlement 2 0
Vegetation cover 40 32
Water body 1 1
Bare soil 2 6
SWC/WHT 32 30
Cropland 24 31
Andes • Ganges • Limpopo • Mekong • Nile • Volta
2.RESULTS: Literature
MAPS of current setting
Table 4: Summary of the area of SWC measures in use, extracted from peer-reviewed and grey literature
Time period Area of SWC
reported, total (ha)
Provinces covered in
project/ report
Area of SWC reported, weighted
per region (ha)
% SWC reported of cultivated
area, per region
Literature source - SWC
1983 - 1989 8 000
Stone bunds
Yatenga 8 000 4.54 Critchley & Graham 1991;
Atampugre 1993
1988 - 2003 89 600
Stone bunds
Bam; Namentenga;
Sanmatenga; Passore;
Yatenga; Zondoma;
Boulkiemde; Sanguie
Centre-Nord: 32 990
Nord: 36 308 Centre-
Ouest: 20 302
Centre-Nord : 11.6%
Nord : 11.2%
Centre-Ouest : 5.2%
IFAD 2004, Intermediate report
1988 – 2004 60 000
Stone bunds, zai,
earth dams
Bam, Kourwéogo,
Oubritenga
Centre-Nord: 28 840
Plat.-Central: 31 160
Centre-Nord: 10.1%
Plat.-Central: 19.0%
PATECORE 2004, Final report
1970 - 2011 30 000 – 60 000
(estimated)
Zai
Northwestern Burkina Faso
– Nord? Yatenga mostly
Nord: 9 – 18% Sawadogo, H. 2011
2004, 2006 No area given
zai and stone bunds
Tougou, Yatenga 49-60% of farmers use SWC on at
least one field
Barbier et al (2009)
1970 - 2009 200 000 – 300 000
All SWC
Central Plateau – Nord,
Centre-Nord, others ?
33 – 39% Reij et al. 2009
Mid 1980s -
2005
100 000
Stone bunds
Northern part of Central
Plateau – Nord only?
31% Reij, C, Tappan, G. & Belemvire, A.
2005
2003 130 000 Central Burkina Faso Pretty, J.N, J.I.L Morison, R.E Hine
2003
* The report on the Agricultural Survey 2004/2005 is the latest report available online, and therefore was used for all the publications from 2004 onwards.
Andes • Ganges • Limpopo • Mekong • Nile • Volta
3.RESULTS: Census
25
36
25
28
18
15
Andes • Ganges • Limpopo • Mekong • Nile • Volta
4. RESULTS: yield curves 1986-2012
Slope: ~0.03 – 0.04
r2: ~0.7-0.8
Andes • Ganges • Limpopo • Mekong • Nile • Volta
4. RESULTS: yield curves 1986-2012
Sahel Nord Centre-Nord Plateau-Central
1984 1994 20041984 1994 2004
Andes • Ganges • Limpopo • Mekong • Nile • Volta
LESSONS
• Better knowledge on AWM in use is needed for setting
research and development agenda
• There is knowledge but not synthesised in an accessible
form
• AWM technology in use beyond documented cases
• More work on causality pathways between AWM Food
security and poverty alleviation is needed to scale
Andes • Ganges • Limpopo • Mekong • Nile • Volta
We thank all contributors:
VBDC colleagues, and FP7 WHaTeR colleagues
funders

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Agricultural Water Management Technology Expansion and Impact on Crop Yields in Northern Burkina Faso

  • 1. A Partner of Agricultural Water Management Technology Expansion and Impact on Crop Yields in Northern Burkina Faso (1980- 2010): A Synthesis of Various Evidence Barron , J., Morris, J., Ouedraogo, I. this work is based on the V1 ‘Targeting and scaling out’ project led by SEI in partnership with INERA, University of Ouagadougou, CSIR-SARI and KNUST, and the FP7 WHaTeR project in cooperation with Stockholm Resilience Centre, Stockholm University and INERA
  • 2. Andes • Ganges • Limpopo • Mekong • Nile • Volta MAIN MESSAGES • Multiple evidence of province-scale adoption rates of at least 20-40%, and a minimum of 10-20 % in other provinces with >700 mm since 1990s • Regional cereal yields and adoption of soil water conservation and small reservoir expansion have with similar rates of increase (ca 3%) • The causality at scale between agricultural water management adoption, crop yields and poverty /food security impacts needs further evidence • There are multiple methods to develop knowledge on adoption of AWM technologies, but current data is not summarised for efficient use in research or policy
  • 3. Andes • Ganges • Limpopo • Mekong • Nile • Volta BACKGROUND Parts of Sudano-Sahel and Sahel have + 10 years of ‘re-greening –land degradation debate: are landscapes changing by climate or by humans? And in which direction? Douxchamps et al (2012): Little systematic evidence about successful scaling out of AWM technologies
  • 4. Andes • Ganges • Limpopo • Mekong • Nile • Volta PURPOSE of STUDY Quantify the areal extent of AWM adoption at sub-national scale (region) in northern Burkina Faso Assess the impact of AWM expansion on crop production and poverty (causal link)
  • 5. Andes • Ganges • Limpopo • Mekong • Nile • Volta APPROACH Different sources of data: National statistics (agricultural census) Remote sensing analysis (ASTER) Peer-reviewed and grey literature Collation to region level, comparison of trendlines of normalised data
  • 6. Andes • Ganges • Limpopo • Mekong • Nile • Volta 1. RESULTS: Remote sensing (2006 ASTER data) Ouahigouya (%) Kaya (%) Settlement 2 0 Vegetation cover 40 32 Water body 1 1 Bare soil 2 6 SWC/WHT 32 30 Cropland 24 31
  • 7. Andes • Ganges • Limpopo • Mekong • Nile • Volta 2.RESULTS: Literature MAPS of current setting Table 4: Summary of the area of SWC measures in use, extracted from peer-reviewed and grey literature Time period Area of SWC reported, total (ha) Provinces covered in project/ report Area of SWC reported, weighted per region (ha) % SWC reported of cultivated area, per region Literature source - SWC 1983 - 1989 8 000 Stone bunds Yatenga 8 000 4.54 Critchley & Graham 1991; Atampugre 1993 1988 - 2003 89 600 Stone bunds Bam; Namentenga; Sanmatenga; Passore; Yatenga; Zondoma; Boulkiemde; Sanguie Centre-Nord: 32 990 Nord: 36 308 Centre- Ouest: 20 302 Centre-Nord : 11.6% Nord : 11.2% Centre-Ouest : 5.2% IFAD 2004, Intermediate report 1988 – 2004 60 000 Stone bunds, zai, earth dams Bam, Kourwéogo, Oubritenga Centre-Nord: 28 840 Plat.-Central: 31 160 Centre-Nord: 10.1% Plat.-Central: 19.0% PATECORE 2004, Final report 1970 - 2011 30 000 – 60 000 (estimated) Zai Northwestern Burkina Faso – Nord? Yatenga mostly Nord: 9 – 18% Sawadogo, H. 2011 2004, 2006 No area given zai and stone bunds Tougou, Yatenga 49-60% of farmers use SWC on at least one field Barbier et al (2009) 1970 - 2009 200 000 – 300 000 All SWC Central Plateau – Nord, Centre-Nord, others ? 33 – 39% Reij et al. 2009 Mid 1980s - 2005 100 000 Stone bunds Northern part of Central Plateau – Nord only? 31% Reij, C, Tappan, G. & Belemvire, A. 2005 2003 130 000 Central Burkina Faso Pretty, J.N, J.I.L Morison, R.E Hine 2003 * The report on the Agricultural Survey 2004/2005 is the latest report available online, and therefore was used for all the publications from 2004 onwards.
  • 8. Andes • Ganges • Limpopo • Mekong • Nile • Volta 3.RESULTS: Census 25 36 25 28 18 15
  • 9. Andes • Ganges • Limpopo • Mekong • Nile • Volta 4. RESULTS: yield curves 1986-2012 Slope: ~0.03 – 0.04 r2: ~0.7-0.8
  • 10. Andes • Ganges • Limpopo • Mekong • Nile • Volta 4. RESULTS: yield curves 1986-2012 Sahel Nord Centre-Nord Plateau-Central 1984 1994 20041984 1994 2004
  • 11. Andes • Ganges • Limpopo • Mekong • Nile • Volta LESSONS • Better knowledge on AWM in use is needed for setting research and development agenda • There is knowledge but not synthesised in an accessible form • AWM technology in use beyond documented cases • More work on causality pathways between AWM Food security and poverty alleviation is needed to scale
  • 12. Andes • Ganges • Limpopo • Mekong • Nile • Volta We thank all contributors: VBDC colleagues, and FP7 WHaTeR colleagues funders

Notas del editor

  1. This presentation is combining complementary research from CPWF V1 and the FP7 WAhter project
  2. MAP: image where multiple Regreening studies merge on evidence and agree on unexpected re greening (a vegetation regrowth higher tha what can be produced by rainfall amounts
  3. Census (ENSA): 2006 (avg%)Sahel18.2Nord21.8Centre-Nord27.9Plateau-Central21.9Mouhoun8.3Est8.3
  4. Yield (kg/ha) by region, for major cereal cropsCalculated from production (tonnes) and agricultural area (ha) for time period 1984-2008 (5 year moving average, normalised values) Source: DGPER 2008 and INSD 2012