Date post: | 27-Jun-2015 |
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New approach in decision support for technology
outscaling in smallholder farming systems: The TAGMI ‘proof of concept’
Dr Jennie Barron
Stockholm Environment Institute (SEI)
Challenge Programme Water and Food Volta Basin V1 project and Limpopo Basin L1 project
Session outline :
- Briefing of TAGMI concept and product
- Q&A
- TAGMI testing
www.seimapping.org/tagmi
Targeting AGwater Management Interventions:
PURPOSE : • provide a decision support tool for AWM outscaling
PROCESS:• Merging different type of knowledge through Bayes
network approach• Show strength of prediction (uncertainty)
PRACTISE• 3 AWM technologies for Volta and Limpopo• User modifying input data and relations
• Reviews, literature search
• Consultations (PGIS), MSc
theses
• Meetings, presentations,
dialogue• Consultations National
public, (private) , NGOs
LBDC, VBDC , CPWF
Existing academicknowledge
Farmers , local
community
MERGED KNOWLEDGE
In TAGMI model
Pooling knowledge in a consultative research process
STEP 1: Process of consultation : incorporate various sources of knowledge
Consultation 2012Consultation 2011 Synthesis
Farmer81%
Farmer/ Community mgmnt4%
CBO1%
Extension5%
Public Services2%
Local govt6%
NGO1%
Farmer2%
CBO6%
Public Services
9%
Local govt17%
NGO6%Nat govt
6%
Nat research52%
Reg mgmnt2%
Intl research2%
CBO3%
Public Services
7%Local govt
19%NGO12%Nat govt
11%
Nat re-
search35%
Reg research5%
Reg mgmnt8%
Intl re-
search1%
CBO2%
Public Services4%Local govt
27%
NGO23%
Nat govt12%
Nat re-
search26%
Reg research2%
Reg mgmnt3% Intl research
1%
STEP 2: Decide: What is relevant technologies? What is ‘success’? AWM intervention Initial
Consultation (2011)PGIS in depth(2011,2012)
TAGMI representation(2013)_
Soil and water conservation /DRS/CESPlanting pits (incl zai)Bunding /ridges/contour bunds/ploughingTied ridges
BFBFGHGH
GH,BF GH,BF
Cover cropTree plantingMulching
GHGH BF
Shallow groundwater useShallow wellsWastewater re-use
GHGH. BF GH ,BF
Motorised water pumps ()small scale irrigation)Treadle pumpsDrip irrigationPunched bag Micro irrigationSupplemental irrigation (rice)
GH, BFBFBF
GHBF
GH,BFGH, BF
GH,BF
Earth damsUnderground (in stream) damsSmall dams /reservoirsFerro cement tanksRoof waterharvestingLarge scale irrigation scheme
GH. BF
GH. BF
GH,BF
GH,BF GH,BF
3 AWM interventions chosen for TAGMI
STEP 3: Merge interdisciplinary factors with Bayes approach
STEP 3: Merge interdisciplinary factors with Bayes approach
STEP 3: Merge interdisciplinary factors with Bayes approach
STEP 4: Develop web based interface in open source and accessible data layers
http://www.seimapping.org/tagmi/index.php
Example: Data input and impact
RESULTS: Current TAGMI predictions Volta
SWC Small scale irrigation
Small reservoirs
RESULTS: Testing climate change impact on potential
Volta basin: Potential out-scaling under CC
Current
--20%
Indicator of succe
ss
Indicator of success
Can we calibrate/validate?
CPWF L2: Requires functional institutional structures
CPWF L2: Requires adequate ‘resources’ - Money, manpower, skills, equipment, etc.
CPWF L3: Poor soil management/ fertility
CPWF L3: Improving market access
Can we calibrate / validate ?
TAGMI predictions match actual adoption rates for about 75% of the provinces
LESSONS FOR RESEARCH• There is opportunity for out-scaling of SWC ,
smallholder irrigation and small reservoirs but prediction strength is low
• Data on social-human layers are critical, but rarely available
• High agreement between factors affecting out-scaling across technologies, countries and basins
• The importance and benefit of investments in “Best Practice In Implementation” (‘Due diligence’ ) to achieve successful outscaling
TAGMI taken to practise: ‘doing research for development’• CPWF in Volta and Limpopo developed ‘proof of concept’ • Generic approach: easily done for other technologies
and scales• Spin-off in new Bayes model for shallow groundwater
irrigation N Ghana; AWM opportunities in Niger; livestock –fodder system improvements Volta-Niger
• What does it take to embed into decision support process?
www.seimapping.org/TAGMI
We thank all contributors: absent colleagues
farmers, boundary partners and participants in consultations and eventsVBDC and V1 colleagues, and LBDC and L1 colleagues
funders
Stockholm Environment Institute in partnership with WATERNET, University of Witwatersrand, International Water Management Institute (IWMI),
University of Ouagadougou, Institut National de l’Environnement et de Récherche Agricole (INERA),Kwame Nkrumah University of Science and Technology (KNUST),
Savanna Agricultural Research Institute (CSIR-SARI),
Thank you!