A Partne r 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
Transcript
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 0Vegetation cover 40 32Water body 1 1Bare soil 2 6SWC/WHT 32 30Cropland 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 000Stone bunds
Yatenga 8 000 4.54 Critchley & Graham 1991; Atampugre 1993
* 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
1815
Andes • Ganges • Limpopo • Mekong • Nile • Volta
4. RESULTS: yield curves 1986-2012
Slope: ~0.03 – 0.04r2: ~0.7-0.8
Andes • Ganges • Limpopo • Mekong • Nile • Volta
4. RESULTS: yield curves 1986-2012Sahel 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
