1. Building Biodiversity Information Infrastructure: Anticipating Avian Influenza Spread Patterns A. Townsend Peterson University of Kansas

2. H5N1 Spread

3. What Do We Know?

4. Characterize Migratory Bird Movements: Massive Data Assembly Bird Occurrence Data – Summer and Winter – Breeding Bird Survey - ~15M records – Christmas Bird Count - ~20M records – Bird Banding Laboratory Data - ~65M records ~13M recoveries, much less that connect seasons Environmental Data – support interpolation of species’ ranges – Climate data, topography/landform data, surface reflectance (NDVI) data

5. Data Available

6. Fill the Gap: Mexico “Mexico Atlas” – 350,000 specimens, 68 natural history museums – 16 years of work – 202,000 records now georeferenced

7. Integrating Museums

8. Key Seasonal Distribution Info

9. Forecasting AI Spread in America

10. 7 Arctic Waterfowl Species Birds from westernmost Alaska migrate almost exclusively to California

11. 7 Arctic Waterfowl Species But just a relatively small distance inland, Alaskan birds migrate both to California and broadly into the Interior

12. 7 Arctic Waterfowl Species Window 3

13. 7 Arctic Waterfowl Species Window 4

14. 7 Arctic Waterfowl Species Window 6 … note decreasing importance of migration to California …

15. 7 Arctic Waterfowl Species Window 7 … now essentially exclusively Interior …

16. 7 Arctic Waterfowl Species Window 8 – note East Coast begins to receive migrants

17. 7 Arctic Waterfowl Species Window 10 – note exclusively East Coast now

18. Lessons Learned Vast amounts of biodiversity information exist But not always in useful formats Biodiversity challenges such as AI demand prompt and efficient responses Need to build biodiversity data infrastructure: – Digitize biodiversity data – Integrate biodiversity data among institutions ORNIS, MaNIS, FishNet, HerpNet, … DiGIR, TAPIR – Enable biodiversity data via georeferencing – Quality control and error detection

19. Thank You! town@ku.edu