A Digitally Integrated Africa Soil Information Service (AfSIS)

2,095 views

Published on

Presentation by Peter Okoth for the CIAT KSW 2009

Published in: Technology, Business
1 Comment
1 Like
Statistics
Notes
  • is it possible to get a copy of this slides, they are very educative
       Reply 
    Are you sure you want to  Yes  No
    Your message goes here
No Downloads
Views
Total views
2,095
On SlideShare
0
From Embeds
0
Number of Embeds
4
Actions
Shares
0
Downloads
53
Comments
1
Likes
1
Embeds 0
No embeds

No notes for slide

A Digitally Integrated Africa Soil Information Service (AfSIS)

  1. 1. A Digitally Integrated Africa Soil Information Service (AfSIS) <ul><li>Grantee institution: </li></ul><ul><ul><li>The International Centre for Tropical Agriculture (CIAT) </li></ul></ul><ul><li>Budget: US$ 18.1 m </li></ul><ul><li>Implementing Institution: </li></ul><ul><ul><li>Tropical Soil Biology & Fertility (TSBF) Institute of (CIAT) </li></ul></ul><ul><li>Partners: </li></ul><ul><ul><li>Columbia University’s Earth Institute </li></ul></ul><ul><ul><li>World Soil Information (ISRIC) </li></ul></ul><ul><ul><li>World Agro-forestry Centre (ICRAF) </li></ul></ul><ul><ul><li>5 initial NARS in Africa (Kenya, Tanzania, Malawi, Mali & Nigeria) </li></ul></ul><ul><ul><li>22 other African countries </li></ul></ul>
  2. 2. Presentation Outline <ul><li>Background </li></ul><ul><li>Foreseen Impact </li></ul><ul><li>Project Activities </li></ul><ul><li>AfSIS Data Systems </li></ul><ul><li>Soil Surveys </li></ul><ul><li>Fertility trials </li></ul><ul><li>Capacity building, user outreach, policy & dissemination </li></ul>
  3. 3. Background
  4. 4. Numbers <ul><li>About 500 million hectares of sub-Saharan Africa’s agricultural land are moderately or severely degraded </li></ul><ul><li>African farmers are able to apply only 10 percent of the nutrients that farmers in the rest of the world return to the soil </li></ul><ul><li>soils in southwestern Kenya, for example, lose an estimated 100 kilograms of nitrogen per hectare each year </li></ul>
  5. 5. Nutrient depleted soils reason for poor crops & low productivity
  6. 6. Large scale land degradation due to soil erosion: How to address?
  7. 7. Impact
  8. 8. Foreseen Impact <ul><li>Provide accurate & spatially explicit soil database for 42 African countries </li></ul><ul><li>Contribute to the reversal of soil degradation in Africa </li></ul><ul><li>Contribute to increased crop yields & improved livelihoods for approximately 1 to 2 million poor African households </li></ul><ul><li>Prepare material and evidence to guide policy and action that enhances Africa’s soil & crop productivity </li></ul><ul><li>Contribute to the development of African institutions capacity to be able to map, disseminate and use soils information to plan natural resource management in their countries & in the continent </li></ul>
  9. 9. The Sahelian Drylands Area: 1.2 million km 2 Population: 38 million Millet & sorghum belt: 23 million ha Initial Impact zones targeted by AfSIS Nigeria Kenya Malawi Tanzania Mali Humid Forest Zone Area: 5.8 million km 2 Population: 168 million Cassava belt: 18 million ha NERICA potential: 2 million ha Moist Savanna and Woodland Zones Area: 4.4 million km 2 Population: 157 million Maize belt: 32 million ha CA potential: 7 million ha S N E W 0 1000 2000 kilometers
  10. 10. Project Activities
  11. 11. AfSIS Objectives <ul><li>Objective 1: Global efforts to fund raise & prepare the GlobalSoilMap.net & collecting soil pedology legacy data for the African node (AfSIS) </li></ul><ul><li>Coordinated by ISRIC </li></ul><ul><li>Objective 2: Cyber Infrastructure & soils database </li></ul><ul><li>Coordinated by CIESIN at Earth Institute </li></ul><ul><li>Objective 3: Soil survey covering 18.1 sq km using unbiased statistical sampling and soil properties prediction modeling from 60 sentinel sites in 27 sub-African countries </li></ul><ul><li>Coordinated by TROPAG at Earth Institute </li></ul>
  12. 12. AfSIS Objectives <ul><li>Objective 4: </li></ul><ul><li>Implementing field management trials in 5 countries </li></ul><ul><li>Collecting & analyzing legacy experimental data Coordinated by CIAT-TSBF </li></ul><ul><li>Objective 5: </li></ul><ul><li>Capacity building, serving end users, defining use cases, dissemination, articulating policy, & articulating impact pathways </li></ul><ul><li>Coordinated by CIAT-TSBF </li></ul><ul><li>Objective 6: </li></ul><ul><li>M & E plan and overall project management </li></ul><ul><li>Project Director –Dr. Pedro Sanchez </li></ul>
  13. 13. Some details about the AfSIS Activities
  14. 14. AfSIS Data Systems Objective 2: CIESIN Sonya Ahamed , Tor V, Jubal, P. Okoth
  15. 16. Dissemination <ul><li>Project Website </li></ul><ul><li>http://www.AfricanSoils.net </li></ul><ul><li>Map Servers </li></ul><ul><li>Global plus AfSIS Databases </li></ul><ul><li>Global soil data models </li></ul><ul><li>Capability for on-line updates with walking sticks for off-line access & use </li></ul>
  16. 17. Soil Surveys Objective 3 Markus Walsh , Tor Vagen, Keith Shepherd, Jerome Tondoh, Luseged
  17. 18. AfSIS Sentinel Sampling <ul><li>~17.5 million km2 of continental SSA </li></ul><ul><li>~0.6 million km2 of Madagascar </li></ul><ul><li>Spatially stratified random sampling approach consisting of 60 sites </li></ul><ul><li>Each 100 km 2 </li></ul><ul><li>42 countries with 95% of human population </li></ul><ul><li>~9,600 new geo-referenced soil profiles </li></ul><ul><li>38,000 individual soil samples </li></ul>
  18. 19. One Sentinel Site 10 km 10 km Total of 160 sampling Points per site 4 soil samples per point
  19. 21. Example of a digital soil carbon condition map of Segou in Mali Low resolution-wider coverage High resolution-less coverage
  20. 22. Fertility Trials Objective 4 Jeroen Huising Cheryl Palm, Generose Nguziheba, Shamie Zingore & P. Okoth
  21. 23. The yield gap and the limitations that cause it Potential yield (Experimentation) Actual yield Yield gap <ul><li>Biophysical limitations </li></ul><ul><li>Soil fertility </li></ul><ul><li>Water </li></ul><ul><li>Variety, etc </li></ul><ul><li>Socio economic and policy limitations </li></ul><ul><li>Knowledge </li></ul><ul><li>Credit availability </li></ul><ul><li>Inputs-Output Markets </li></ul>Which inputs are lacking? Why inputs are not used?
  22. 24. Our aim: prevention, restoration & productivity
  23. 25. AfSIS Impact Target Zones <ul><li>Soil fertility recommendation trials installed in 5 countries marked in yellow </li></ul><ul><li>Soil management recommendation framework developed from past experimental legacy data and from new management recommendation trials </li></ul>
  24. 26. Capacity building, user outreach & dissemination Objective 5 Peter Okoth , Policy Economist, Extension, Market, other PIs, etc
  25. 27. Activities under Objective 5 <ul><li>Capacity building </li></ul><ul><li>Use Cases </li></ul><ul><li>Impact pathways </li></ul><ul><li>Policy formulation </li></ul><ul><li>Partnerships </li></ul><ul><li>Dissemination </li></ul><ul><li>Monitoring & Evaluation </li></ul>
  26. 28. Training & Capacity building <ul><li>Training for capacity building in: </li></ul><ul><ul><li>Soil Survey (numbers trained on the job) </li></ul></ul><ul><ul><li>NIR/MIR scanning, analysis & interpretations (numbers trained on the job) </li></ul></ul><ul><ul><li>Management & recommendation trials (numbers trained on the job) </li></ul></ul><ul><ul><li>ISFM and targeting recommendations (numbers trained on the job) </li></ul></ul><ul><ul><li>Formal training ( numbers of graduate level training at MSc & PhD) </li></ul></ul>
  27. 29. Dissemination Peter Okoth, Extension (Public, Private, NGOs), Agro-dealers, Media
  28. 30. Questions <ul><li>Dissemination: </li></ul><ul><ul><li>Which tools are currently available for this? </li></ul></ul><ul><ul><li>How do we maximize out-scaling of knowledge and data? </li></ul></ul><ul><ul><li>Which are the incentives to ensure adoption and sustenance of technology use once disseminated? </li></ul></ul><ul><ul><li>Who does what? </li></ul></ul><ul><ul><li>How do they do it? </li></ul></ul><ul><ul><li>Who pays for it? </li></ul></ul>
  29. 31. Steps towards dissemination soil fertility ISFM management trials possible spatial intervention domains geo-referenced spatial soils data & information cyber space other dissemination media management recommendations Policy guidelines & Briefs 1 2 3 4 5 6 7 8 9 10 F F Obj 3 Obj 4 Obj 4 Objs 4 & 5 F Objs 2 & 5 legacy data analysis analysis & interpretation diagnostic deductions analysis & interpretation diagnostic deductions
  30. 32. AfSIS dissemination construction & user concerns object location geometric attributes soil attributes HARDWARE SOFTWARE KNOWLEDGE WHO? HOW? WHERE? WHAT? USERS USERS USERS USERS GIS system interface User concerns & project objectives response interface 3,4 3,4,5 2,5 2,5 object Specific objective attention domains
  31. 33. Who? International National Local HarvestChoice Agro-dealers Researchers HarvestPlus Fertilizer buyers Local public extension service providers Fertilizer manufacturers Fertilizer blenders CBOs/NGOs AGRA Public extension service providers Agri-business African CGIAR scientists Seed companies Media Regional networks Private advisory services Local policy makers Un agencies Policy makers & regulators NUANCES-farmers NEPAD Agricultural investors Breeders Development partners Researchers & students Watershed managers Global climate modelers Ecosystem modelers & land use planners
  32. 34. What Themes Measured attributes Predicted attributes Keith obj3 soil samples spectral signatures inherent soil properties Markus obj3 Field and sampled soil properties Functional soil properties Jeroen obj4 yield responses to different management treatments Decision framework to arrive at predicted responses for different management scenarios
  33. 35. Covariates 1. Data Input 2. Soil properties Soil Map Clay OC pH BD Water storage Al toxicity Fertilizer response Erosion Carbon Management 3. Soil functions Spatial inference models Pedotransfer functions Social Covariates 4. Management Inputs 5. Management recommendations Fertilizer application Erosion control Climate mitigation Crop selection Irrigation 6. End Users Decision analysis Decision analysis Training Dissemination Cyber- infrastructure Legacy & new data Legacy data Policy-makers Extension Scientists Farmers Agro-business
  34. 36. What? <ul><li>Structured content (tables, narratives, figures, pictures, video clips, trends) from objectives 3 & 4 </li></ul><ul><li>Decisions on what to avail for access by the different levels of users </li></ul>
  35. 37. Where <ul><li>Geo-referenced geometric as well as thematic attributes of the soil properties </li></ul><ul><li>Political boundaries (national, district, location, sub-location, etc) </li></ul><ul><li>Geomorphologic boundaries and the corresponding landform units </li></ul><ul><li>Road networks with centers and towns </li></ul>
  36. 38. Dissemination tools in AfSIS Target Audience Tools Local, national TV, Radio, Print Media Mailing list CDs, DVDs, Extension & farmers Wireless and mobile phones Farmers indirectly, Local & National Extension (public, private, NGOs, etc) International, national, district, local Workshops Global Scientists Publications Global Google Earth et al. Global Project Website & Blogs
  37. 39. AFSIS PROJECT DATABASE WEATHER CHANNEL AGRO DEALERS DIGITAL MAP COMMODITY TRADERS FARMERS, AGRO-DEALERS REGISTER & DATABASE NUANCES EXTENSION SERVICE NATIONAL POLICY MAKERS DEVELOPMENT PARTNERS INVESTORS GSM NETWORKS PRIVATE IT COMPANY FARMERS & AGRO-DEALERS FARMER’S & AGRODEALERS REQUESTS SOIL WEATHER PRICES MARKETS E-CREDIT COMPANIES NGOS CBOS SCIENTIFIC COMMUNITY GOOGLE EARTH IMPACT ORIENTED DISSEMINATION POSSIBLE END USERS Impact!-How? FARMER SUPPORT SERVICES COMPANY RESPONSE
  38. 40. Achievements so far <ul><li>Launch on 13 th January 2009 </li></ul><ul><li>Promotion in over 50 media houses including print, audio and blogs </li></ul><ul><li>Visited 3 node countries to install necessary infrastructure </li></ul><ul><li>Purchased vehicles </li></ul><ul><li>Purchased computer hardware </li></ul><ul><li>Purchased 20 GPSs </li></ul><ul><li>Recruited 1 MSc student already in Aberdeen University </li></ul><ul><li>Hired Scientist for West & Southern Africa (Objective 3) </li></ul><ul><li>Hired Socio-economist </li></ul><ul><li>Conducted interviews for an M&E position </li></ul><ul><li>Taken on board Southern Africa TSBF scientists </li></ul><ul><li>Worked on 2009 project workplan </li></ul><ul><li>Initiated experimental work in Mali </li></ul><ul><li>Process of getting the Arusha office operational </li></ul><ul><li>Ordered Spectrometers & GPS equipment </li></ul><ul><li>Implemented www.Africasoils.net </li></ul><ul><li>Initiated discussions with AGcommons on Use Case definition </li></ul>
  39. 41. Thank you! Ahsante sana!
  40. 42. Use cases <ul><li>Which uses of soil data and information can we think of? </li></ul><ul><li>How do we capture the variety of potential users? </li></ul><ul><li>Which tools are available to do this? </li></ul><ul><li>Which soil variables are most relevant? </li></ul><ul><li>Which decisions can be made from AfSIS soil information </li></ul><ul><li>Which kind of decisions can be made? </li></ul>
  41. 43. Impact Pathways <ul><li>Partnerships: </li></ul><ul><ul><li>Which kind of partnerships do we need to have for maximum impact? </li></ul></ul><ul><ul><li>How do we structure the partnerships? </li></ul></ul><ul><ul><li>How do we sustain the partnerships? </li></ul></ul>

×