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Building Biodiversity Information Infrastructure:
Anticipating Avian Influenza Spread Patterns
A. Townsend Peterson
University of Kansas
H5N1 Spread
What Do We Know?
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
Data Available
Fill the Gap: Mexico• “Mexico Atlas”
– 350,000 specimens, 68 natural history museums
– 16 years of work– 202,000 records now georeferenced
Integrating Museums
Key Seasonal Distribution Info
Forecasting AI Spread in America
7 Arctic Waterfowl Species
Birds from westernmost Alaska
migrate almost exclusively to
California
7 Arctic Waterfowl Species
But just a relatively small distance
inland, Alaskan birds migrate both to
California and broadly into the
Interior
7 Arctic Waterfowl Species
Window 3
7 Arctic Waterfowl Species
Window 4
7 Arctic Waterfowl Species
Window 6 … note decreasing
importance of migration to California
…
7 Arctic Waterfowl Species
Window 7 … now essentially
exclusively Interior …
7 Arctic Waterfowl Species
Window 8 – note East Coast begins to
receive migrants
7 Arctic Waterfowl Species
Window 10 – note exclusively East
Coast now
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
Thank [email protected]