1 / 28

East Africa Tradeoff Analysis Workshop

East Africa Tradeoff Analysis Workshop. Bio-physical working group. Workshop Program. Objectives. Get acquainted with the bio-physical datasets. Learn how to set up data for the TOA model. Backgrounds on Nutmon and DSSAT simulations. Relevance of spatial variability.

brand
Télécharger la présentation

East Africa Tradeoff Analysis Workshop

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. East Africa Tradeoff Analysis Workshop Bio-physical working group

  2. Workshop Program

  3. Objectives • Get acquainted with the bio-physical datasets. • Learn how to set up data for the TOA model. • Backgrounds on Nutmon and DSSAT simulations. • Relevance of spatial variability. • Discuss the new advances to deal with data limitations and soil dynamics • Understand the process to run advanced scenarios.

  4. Today’s program 8:30-9:00 General introduction 9:00-10:00 The NUTMON toolbox 10:00-10:30 Coffee 10:30-11:00 DSSAT 11:00-12:15 Discussion questions 12:30-13:30 Lunch 13:30-14:30 NUTMON exercises 14:30-15:00 DSSAT and inherent productivities 15:00-15:30 Coffee 15:30-17:00 Analysis of variance

  5. Tomorrow’s program 8:30-9:00 General introduction 9:00-10:30 Climate change scenarios 10:30-11:00 Coffee 10:30-12:00 Drought resistant maize varieties 12:00-12:30 Discussion

  6. Conceptual framework

  7. Conceptual framework

  8. Basic GIS data for Machakos

  9. Basic GIS data for Machakos See c:\to31_mk\arcview\machakos.apr

  10. Data acquisition • Digital soil mapping • Climate interpolation • Model callibration

  11. Traditional soil survey 250,000 Number of observations 62,500 10,000 2,500 100 625 Scale

  12. Causes of soil variability • Parent material • Topography • Tillage erosion • Land management • Climate

  13. Cause 1: Parent material

  14. Results R2

  15. Cause 2: topography

  16. Results R2

  17. Cause 3: Soil variability

  18. Cause 3: Soil variability

  19. Cause 3: Soil variability Tillage erosion = f(distance, topography) Strong tillage erosion No tillage erosion

  20. Results R2

  21. Cause 4: Land management

  22. Cause 4: Land management

  23. Results R2

  24. Cause 5: Climate

  25. Results R2

  26. Results: detailed soil survey

  27. Climate interpolation

More Related