1. Agrobiodiversity and climate change: a new role for science
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Agrobiodiversity and climate change:
a new role for science
Jacob van Etten
November 2016

2. Climate change

3. Climate change
Origin of agriculture

5. Drought
Drought tolerance

6. Drought
Drought tolerance
Heat
Heat tolerance

7. Climate Change: Challenge to Science
Climate change Real-time, one shot
Science Trial and error

8. Climate Change: Challenge to Science
Climate change Real-time, one shot Multiple views, values, interpretations, uncertainty
Science Trial and error Optimizing well-defined solutions

9. Climate Change: Challenge to Science
Climate change Real-time, one shot Multiple views, values, interpretations, uncertainty Multiple dimensions, trade- offs
Science Trial and error Optimizing well-defined solutions Ceteris paribus, isolate problem as strategy

10. Climate Change: Challenge to Science
Climate change Real-time, one shot Multiple views, interpretations, uncertainty Multiple dimensions, trade- offs
Science Trial and error Optimizing well-defined solutions Ceteris paribus, isolate problem as strategy
Diversity

11. Aspects of a Solution
Design solutions with science in supporting role – inject science into real-time workflows
Work with diversity rather than averages and trends – “science of the individual”

12. Example 1

13. Working with Household Diversity

14. Household Diversity

15. Trade-off analysis
Farm performance scores for large and small farm types (LF and SF), practising high and low farm intensification (HI and LI), crop diversification (HD and LD) and market orientation (HM and LM) for Lushoto, Tanzania. Abbreviations: FA is Food Availability, HFIAS is the Household Food Insecurity Access Scale, HDDS is the Household Diet Diversity Score, PPI is Progress out of Poverty Index.

16. RHoMIS
Easy to use and interpret – facilitate discussion
Benchmarking and comparisons possible
Multiple indicators: trade-offs (adaptation vs. mitigation, etc.)
Monitoring tool for NGOs, banks, state agencies, etc.

17. Example 2

18. Implementation

19. Citizen Science
“Citizen science is scientific research conducted, in whole or in part, by amateur or nonprofessional scientists.”
“(also known as crowd science, crowdsourced science, civic science or networked science)”
Wikipedia

20. Crowdsourcing
“Crowdsourcing is the process of obtaining needed services, ideas, or content by soliciting contributions from a large group of people, and especially from an online community, rather than from traditional employees or suppliers.”
Wikipedia

21. Triadic Comparisons of Technologies (tricot)B C 12
Experimentation is done individually
Each farmer receives a different combination of three varieties

22. Communication Material

23. Digital Platform

24. Accuracy of Farmer Observations
Tests in Honduras with 35 farmers (Steinke et al. under review)

25. Example of Results
Nicaragua bean trials (Van Etten et al., Experimental Agriculture)

26. Farmer Citizen Science for Adaptation
Injection of varietal diversity boosts adaptation directly through seed availability and better-adapted varieties
Diversity in growing environments in a single year (planting dates, soils, rainfall) can be exploited with big data to make predictions
Farmers themselves compare across sites and learn from directly observed spatial patterns

27. In Summary…
Data-intensive approaches address the climate challenge from a diversity perspective
Massive digital participation accelerates human learning for climate action
What is the motivation of participants and those who are supposed to take up science results?

28. More Information
RHoMIS.net Surveys on household diversity
ClimMob.net Farmer citizen science

29. Jacob van Etten j.vanetten@cgiar.org @jacobvanetten
THANK YOU/FINAL SLIDE