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Overview of Geo-Information
    Applications in ILRI
GIS at ILRI
• Research:
  – Currently being applied in a wide variety of
    projects within the different “thematic work areas”

• Services:
  –   Data management
  –   Advice and services on applications
  –   Capacity Building among staff and collaborators
  –   Data sourcing and sharing both internally and
      externally over the internet
GIS services Unit Activities
• Ensuring generated data documentation meets agreed
  global standards
• Facilitate proper storage and sharing of data
• Catalyst to capacity development across the institute
• Meeting short term requests on GIS related work from
  staff and collaborators
• Conducting training activities for staff and collaborators
• Keeping ILRI up to date on new developments in the geo-
  information technologies
• Linking ILRI with geo-information community in the world
• Works with biometric services to ensure proper
  incorporation of statistics principals in spatial analysis
  where such is needed and in building capacity among
  staff on the same
ILRI Service Unit Outputs
Metadata Services
ArcSDE Centralised Database system
Interactive Map Services
ILRI Web based Downloadable data
Capacity Building


Decision Makers
(Basic GIS – 1 Week)


   GIS Technician + Analysts
   (Advanced training – 2 Weeks)




           Community
   Basic training – 1-2 weeks
ILRI Thematic Outputs
Some exciting GIS outputs 2008
•   Poor Livestock Keepers / Value of Production
     – SSA and SA                        An Notenbaert, Patrick
        Kariuki, Abisalom Omolo
•   USLE Based Potential Erosion Map
     – Nile Basin              Paulo van Breugel, A. Notenbaert,
        L. Claessens, J. VdSteeg
•   Livestock water productivity and crop water use
     – Nile Basin              Paulo van Breugel
•   Simplified productions systems map (4 classes) + projection to
    2030
     – Global                  An Notenbaert
•   Projections for crops, livestock, livestock products, water use,
    malnutrition
     – Developing world  Mario Herrero, An Notenbaert
Some exciting GIS outputs 2008
Climate Change hotspots + VOPs per system
    ASARECA                    Jeannette Van de Steeg
Vulnerability indicators
    GHA                        James Kinyangi
Composite Risk maps
    COMESA                     An Notenbaert, Stella Massawe
GOBLET and the “development domains tool”
    Global                     Carlos Quiros, An Notenbaert
Avian Influenza Risk map
    Africa, Asia, Indonesia  Wachira Theuri
Innovation successes
    Ethiopia                   Patrick Kariuki
Updated poverty maps
    Uganda                     Patrick Kariuki
Dairy Value Chain.
    East Africa                Pamela Ochungo
Kitengela (Wildlife and livestock counts, fences, atlas)
    Kitengela                  Shem Kifugo, Mohamed Said
Targeting and Innovations Theme
        Activities Example
SLP drivers of change
          Systems are changing:
          Population increasing, Urbanisation, Increased demand for LS products,
          Intensification, Climate change, Technology shifts, Globalisation, ….
PROBLEM




          …. can the poor benefit from these changes?

          …. can we change without compromising food security,

          ecosystems services and livelihoods?
SLP drivers of change

             4 Scenarios:
METHODS


              Reference

          Bio-fuels Scenario

          Irrigation Expansion

          Low meat Demand
SLP drivers of change
                        • Mixed intensive systems in the developing world are under significant
                          pressure
SOME KEY FINDINGS
                          From 2.5 to 3.4 billion people, from 150 to 200 million cattle
                          Sustaining most of the pigs and poultry and still increasing by 30-40%
                          Most of the crops yields as well as areas stagnating
                          Water and soil fertility problems

                         Important productivity gains could be made in the more extensive systems


                                       Annual changes in Cereal-Production
                                                Rate of Change Cereal Production
                                                   2000 - 2030
                                                                    2000 - 2030
                        6              Rates lower than those of                           Rates of growth of mixed
                                          population growth         Catching up         intensive similar to developed
                        5
                                                                                                   countries
                        4
                    %




                        3
                        2
                        1
                        0
                             CSA          EA          SA           SEA       SSA       WANA        Total

                        AgroPastoral   Mixed Extensive     Mixed Intensive   Other   Developed countries
SLP drivers of change
                    3. “Moving megajoules” - fodder markets are likely to expand as demand for
                        meat and milk increases
SOME KEY FINDINGS


                    4. Expansion of bio-fuels will likely reduce household food consumption in
                        all systems


                    5. Some systems may need to de-intensify or stop growing to ensure
                        sustainability of agro-ecosystems services

                       Better understanding of intensification thresholds: regulatory framework
                       and M&E system

                       Incentives to protect environment / equitable “smart” schemes for
                       payment of eco-system services

                       We need significant efficiency gains (in crops, livestock and other sectors
                       alike)
Crops: You and Wood

Ag.Pot: LGP>180days or equipped for irrigation
MA: less than 8 hours to >250K
EADD - Spatial analysis
•The East African Dairy Development (EADD) Project operates in
selected areas of Kenya, Uganda and Rwanda.

• The EADD project aims to transform the lives of 179,000 farming
families (approx 1 million people – by doubling dairy income by the
10th year. This will be done through integrated interventions to
enhance dairy production, market access and knowledge
application.

•The core interventions include setting up 27 new milk collection/
chilling plant hubs across the region.
Market Opportunities Theme
    Activities Example
The EADD Study Sites in East Africa
Site Selection using Development domains
Development Domains
-Similar agricultural Problems or opportunities.
-Specific dev. Policies, Investments, livelihood options, technologies likely to be most effective?
Sampling of households to be surveyed
•Quadrant random selection approach used – survey area divided into smaller
Sampling grid cells and then a simple random sampling technique applied to select.
People Livestock and Environment
         Example output
Mapping of fences in Kitengela
                             The Fencing Team
                             ILRI
                             Shem Kifugo
                             Mohammed Said
         5                   David Nkedianye
                             Robin Reid
4                            Mike Arunga
                 1           Vince Odour
                 3
                             Community
                             Lugard Ole Makui
             6               Simon Sinkeet Ole Mula
                             Nelson Ole Olpute
                             Mark Ole Koikai
             2               Daniel Ole Issa
                             Joseph Ole Maratanta
                             James Ole Turere
                             Nathaniel Ole Sinket
                             Joseph Ole Kimiti
                             Simon Ole Peira
                             Regan Ole Makui
What is planned for 2009 (and beyond)
•   LS production systems toolbox (incl. standard classifications) and LS
    productivity
     – An Notenbaert
•   Length Growing Period and Cereal production under different
    scenarios
     – Philip Thornton
•   Global rangeland model + carbon sinks + responses to CC
     – Stefano Disperati / Joseph Maitima
•   Dynamic vulnerability for SSA (+ Mali & Mozambique)
     – An Notenbaert
•   Intensification thresholds and nutrient balances (global)
     – Jeannette Van de Steeg
•   Ecosystem services in the pastoral areas (+ links with
    food/environmental security)
     – Stefano Disperati
What is planned for 2009 (and beyond)
Methane emissions from livestock (global)
     Mario Herrero
Feed supply (crops, forages, rangelands) & feed demand + impacts CC
+ Feed markets (global)
     Mario Herrero, Michael Blummel
Integration of livestock in LU and economic models
     Mario Herrero
Water poverty and vulnerability in the Nile Basin
     James Kinyangi
Evaluation of Arid Lands Resource Management Program
     Abisalom Omolo
Landscape genomics
     Steve Kemp
East Coast Fever (risk mapping, spatial targeting of delivery)
     Phil Toye, Frank Hansen
Value chains and market access (distance to markets and services;
collection and distribution of market information, risks and diseases)
     Steve Staal, Derek Baker

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Overview of Geo-Information Applications in ILRI

  • 1. Overview of Geo-Information Applications in ILRI
  • 2. GIS at ILRI • Research: – Currently being applied in a wide variety of projects within the different “thematic work areas” • Services: – Data management – Advice and services on applications – Capacity Building among staff and collaborators – Data sourcing and sharing both internally and externally over the internet
  • 3. GIS services Unit Activities • Ensuring generated data documentation meets agreed global standards • Facilitate proper storage and sharing of data • Catalyst to capacity development across the institute • Meeting short term requests on GIS related work from staff and collaborators • Conducting training activities for staff and collaborators • Keeping ILRI up to date on new developments in the geo- information technologies • Linking ILRI with geo-information community in the world • Works with biometric services to ensure proper incorporation of statistics principals in spatial analysis where such is needed and in building capacity among staff on the same
  • 8. ILRI Web based Downloadable data
  • 9. Capacity Building Decision Makers (Basic GIS – 1 Week) GIS Technician + Analysts (Advanced training – 2 Weeks) Community Basic training – 1-2 weeks
  • 11. Some exciting GIS outputs 2008 • Poor Livestock Keepers / Value of Production – SSA and SA  An Notenbaert, Patrick Kariuki, Abisalom Omolo • USLE Based Potential Erosion Map – Nile Basin  Paulo van Breugel, A. Notenbaert, L. Claessens, J. VdSteeg • Livestock water productivity and crop water use – Nile Basin  Paulo van Breugel • Simplified productions systems map (4 classes) + projection to 2030 – Global  An Notenbaert • Projections for crops, livestock, livestock products, water use, malnutrition – Developing world  Mario Herrero, An Notenbaert
  • 12. Some exciting GIS outputs 2008 Climate Change hotspots + VOPs per system ASARECA  Jeannette Van de Steeg Vulnerability indicators GHA  James Kinyangi Composite Risk maps COMESA  An Notenbaert, Stella Massawe GOBLET and the “development domains tool” Global  Carlos Quiros, An Notenbaert Avian Influenza Risk map Africa, Asia, Indonesia  Wachira Theuri Innovation successes Ethiopia  Patrick Kariuki Updated poverty maps Uganda  Patrick Kariuki Dairy Value Chain. East Africa  Pamela Ochungo Kitengela (Wildlife and livestock counts, fences, atlas) Kitengela  Shem Kifugo, Mohamed Said
  • 13. Targeting and Innovations Theme Activities Example
  • 14. SLP drivers of change Systems are changing: Population increasing, Urbanisation, Increased demand for LS products, Intensification, Climate change, Technology shifts, Globalisation, …. PROBLEM …. can the poor benefit from these changes? …. can we change without compromising food security, ecosystems services and livelihoods?
  • 15. SLP drivers of change 4 Scenarios: METHODS Reference Bio-fuels Scenario Irrigation Expansion Low meat Demand
  • 16. SLP drivers of change • Mixed intensive systems in the developing world are under significant pressure SOME KEY FINDINGS From 2.5 to 3.4 billion people, from 150 to 200 million cattle Sustaining most of the pigs and poultry and still increasing by 30-40% Most of the crops yields as well as areas stagnating Water and soil fertility problems  Important productivity gains could be made in the more extensive systems Annual changes in Cereal-Production Rate of Change Cereal Production 2000 - 2030 2000 - 2030 6 Rates lower than those of Rates of growth of mixed population growth Catching up intensive similar to developed 5 countries 4 % 3 2 1 0 CSA EA SA SEA SSA WANA Total AgroPastoral Mixed Extensive Mixed Intensive Other Developed countries
  • 17. SLP drivers of change 3. “Moving megajoules” - fodder markets are likely to expand as demand for meat and milk increases SOME KEY FINDINGS 4. Expansion of bio-fuels will likely reduce household food consumption in all systems 5. Some systems may need to de-intensify or stop growing to ensure sustainability of agro-ecosystems services Better understanding of intensification thresholds: regulatory framework and M&E system Incentives to protect environment / equitable “smart” schemes for payment of eco-system services We need significant efficiency gains (in crops, livestock and other sectors alike)
  • 18. Crops: You and Wood Ag.Pot: LGP>180days or equipped for irrigation MA: less than 8 hours to >250K
  • 19. EADD - Spatial analysis •The East African Dairy Development (EADD) Project operates in selected areas of Kenya, Uganda and Rwanda. • The EADD project aims to transform the lives of 179,000 farming families (approx 1 million people – by doubling dairy income by the 10th year. This will be done through integrated interventions to enhance dairy production, market access and knowledge application. •The core interventions include setting up 27 new milk collection/ chilling plant hubs across the region.
  • 20. Market Opportunities Theme Activities Example
  • 21. The EADD Study Sites in East Africa
  • 22. Site Selection using Development domains Development Domains -Similar agricultural Problems or opportunities. -Specific dev. Policies, Investments, livelihood options, technologies likely to be most effective?
  • 23. Sampling of households to be surveyed •Quadrant random selection approach used – survey area divided into smaller Sampling grid cells and then a simple random sampling technique applied to select.
  • 24. People Livestock and Environment Example output
  • 25. Mapping of fences in Kitengela The Fencing Team ILRI Shem Kifugo Mohammed Said 5 David Nkedianye Robin Reid 4 Mike Arunga 1 Vince Odour 3 Community Lugard Ole Makui 6 Simon Sinkeet Ole Mula Nelson Ole Olpute Mark Ole Koikai 2 Daniel Ole Issa Joseph Ole Maratanta James Ole Turere Nathaniel Ole Sinket Joseph Ole Kimiti Simon Ole Peira Regan Ole Makui
  • 26. What is planned for 2009 (and beyond) • LS production systems toolbox (incl. standard classifications) and LS productivity – An Notenbaert • Length Growing Period and Cereal production under different scenarios – Philip Thornton • Global rangeland model + carbon sinks + responses to CC – Stefano Disperati / Joseph Maitima • Dynamic vulnerability for SSA (+ Mali & Mozambique) – An Notenbaert • Intensification thresholds and nutrient balances (global) – Jeannette Van de Steeg • Ecosystem services in the pastoral areas (+ links with food/environmental security) – Stefano Disperati
  • 27. What is planned for 2009 (and beyond) Methane emissions from livestock (global) Mario Herrero Feed supply (crops, forages, rangelands) & feed demand + impacts CC + Feed markets (global) Mario Herrero, Michael Blummel Integration of livestock in LU and economic models Mario Herrero Water poverty and vulnerability in the Nile Basin James Kinyangi Evaluation of Arid Lands Resource Management Program Abisalom Omolo Landscape genomics Steve Kemp East Coast Fever (risk mapping, spatial targeting of delivery) Phil Toye, Frank Hansen Value chains and market access (distance to markets and services; collection and distribution of market information, risks and diseases) Steve Staal, Derek Baker