About
eBird Range Maps is an interactive mapping tool built on one of the world's largest citizen science databases, maintained by the Cornell Lab of Ornithology. It aggregates tens of millions of bird observation records submitted by birders worldwide to generate dynamic, data-rich range and abundance maps for thousands of bird species. Users can explore where a species has been reported across any region, filter by season or date range, and view animated maps that illustrate how distributions shift throughout the year. The maps use machine learning models trained on eBird observation data and environmental variables to produce high-resolution estimates of bird occurrence and relative abundance. eBird Range Maps is invaluable for birdwatchers planning trips, researchers studying avian ecology and climate change impacts, conservation organizations assessing habitat, and educators teaching about biodiversity. The tool integrates seamlessly with the broader eBird ecosystem, including species accounts, checklists, and the Merlin Bird ID app. All data is freely accessible, and users can create a free Cornell Lab account to contribute their own sightings, enhancing the dataset for the global birding and scientific communities. The platform supports multiple languages and is used by millions of birders and researchers worldwide.
Key Features
- Interactive Species Range Maps: View dynamic, high-resolution maps showing where any of thousands of bird species have been observed around the world.
- Seasonal & Animated Abundance Maps: Explore how bird distributions shift throughout the year with animated maps showing seasonal occurrence and relative abundance.
- Machine Learning-Powered Estimates: Maps are generated using ML models trained on eBird observations combined with remote sensing and environmental data for accurate predictions.
- Citizen Science Dataset: Backed by tens of millions of checklists submitted by birders globally, providing an unmatched depth of real-world observation data.
- Multi-Language Support: Available in over a dozen languages, making it accessible to a worldwide audience of birders, researchers, and educators.
Use Cases
- Birdwatchers planning trips to find specific species by checking where they are most likely to occur in a given season.
- Ornithologists and ecologists studying how climate change is shifting bird species ranges over time.
- Conservation organizations identifying critical habitats and range boundaries to prioritize land protection efforts.
- Educators and students using visual distribution data to teach and learn about biodiversity, migration, and ecology.
- Citizen scientists contributing their own sightings to help improve the accuracy and coverage of global bird distribution data.
Pros
- Completely Free: Full access to range maps and abundance data requires no subscription or payment — only a free Cornell Lab account to contribute sightings.
- Scientifically Rigorous: Maps are built on peer-reviewed statistical models and one of the largest biodiversity datasets in the world, making them reliable for research and conservation.
- Global Coverage: Data spans every continent with particularly dense coverage in North America, Europe, and parts of Asia, offering truly worldwide utility.
Cons
- Data Gaps in Remote Regions: Coverage and accuracy can be limited in areas with few active eBird contributors, such as parts of Africa, Central Asia, and the Amazon.
- No Offline Access: The mapping tool is web-only and requires an internet connection; there is no downloadable or offline version of range map data.
- Limited Customization for Non-Researchers: Advanced filtering and data export options are geared toward researchers; casual users may find the interface feature-heavy without in-depth guidance.
Frequently Asked Questions
Yes, eBird Range Maps is completely free. You can explore species maps without an account, and creating a free Cornell Lab account allows you to contribute your own bird sightings.
The data comes from millions of bird observation checklists submitted by citizen scientists (birders) around the world through the eBird platform, curated and validated by the Cornell Lab of Ornithology.
The maps use machine learning models that combine eBird observations with environmental and remote sensing data. Accuracy is high in well-covered regions but may be lower in areas with sparse observer activity.
Yes. The underlying eBird dataset and Status & Trends products are widely used in peer-reviewed research. Researchers can also request access to bulk data through the eBird data access program.
The range maps show modeled distributions based on historical and recent observations. For near-real-time sightings in a specific location, you can use the eBird Explore section to view recent checklists.