Cornell researchers develop new methods to track individual bird species migration

New methods can now track individual bird species during migration by combining citizen science data with weather radar. Researchers developed novel approaches using over 2 billion eBird observations and AI models to estimate species-specific migration patterns across North America, addressing radar's inability to identify species. This breakthrough aids conservation efforts, disease tracking, and understanding migration variations across vast scales, with potential for global application.