eBird data around the world

eBird Science

eBird transforms the global birding community's passion for birds into a powerful resource for research, conservation, and education.

eBird Status and Trends

High-resolution data, visualizations, and tools describing where bird populations occur and how they change through time—powered by eBird data and updated annually, providing you with the best available science.

Use eBird data and tools

eBird is a powerful resource for a wide range of scientific questions. Learn how to access, analyze, and cite eBird data and tools.

Research and conservation applications

eBird plays an increasingly important role in science and conservation. Applications of eBird data range from research and monitoring to species management, habitat protection, and informing law and policy.

Recent science news

eBird Impacts: European Bee-eaters expand their range northwards

The breeding range of European Bee-eaters has expanded approximately 1000 km (620 mi) northwards, possibly due to warming temperatures across Europe. A team of researchers recently used eBird data to investigate the relationship between European Bee-eaters and climate and also model future range shifts.

eBird Impacts: Priority areas for vulture conservation in Ethiopia

A team of international researchers used eBird data to model the distribution and habitat needs of imperiled vulture species in Ethiopia. Their goal was to identify areas of conservation priority to protect these important members of nature’s “clean-up crew.”

Nighttime Lights Lure Nocturnal Migrating Birds into Areas of Increased Risk

Many birds migrate at night. The cool and calm evening skies make migrating at night a little smoother for birds, but nighttime lights can make their journey more treacherous.

Featured project


The Cornell Lab of Ornithology teamed up with multiple non-profit organizations, international shorebird collaboratives, biologists, and agencies to create ShorebirdViz—an interactive tool that combines observations of shorebirds in eBird with state-of-the art statistical models and machine learning to produce relative abundance estimates and estimates of population size across the Western Hemisphere.