Mapping when birds sing across America
An open-source project visualizing the seasonal rhythms of bird vocalizations, revealing when and where different species fill the air with song.
When exactly do birds sing? Not just "spring" โ but which week? Does it differ between California and New York? And why doesn't this data already exist?
Birders know that bird song peaks during breeding season. But surprisingly, there's no easily accessible public dataset showing when birds vocalize throughout the year, broken down by species and location.
Existing resources like eBird show when birds are observed (seen or heard), but don't distinguish between silent winter flocks and the dawn chorus of spring. BloomingSongs fills this gap by analyzing audio recording data to reveal true vocal phenology โ the science of seasonal timing.
Know the exact weeks when your target species is most vocal in your area, maximizing your chances of hearing (and finding) it.
Track shifts in singing phenology over time. Are birds singing earlier than they did decades ago? The data can tell us.
Understanding when birds vocalize helps urban planners reduce noise pollution during critical breeding communication periods.
Build smarter bird ID apps that account for what species are actually singing at a given time and place, not just present.
One of the first questions we explored: do birds sing at the same time across the country? We compared California and New York for five common species.
Figure 1: Weekly singing activity for five species, comparing California (left) and New York (right). Each colored line represents a different year (2019-2023), with the black line showing the multi-year average and gray shading indicating confidence intervals.
The Song Sparrow perfectly illustrates this east-west divide. In New York, singing peaks sharply in April when birds rush to establish territories after the spring thaw. In California, the peak comes in May, and there's notable vocal activity even in winter months.
Figure 2: Song Sparrow singing patterns. Note California's winter singing (December-February) which is almost entirely absent in New York.
Not all birds follow the "spring singing" pattern. Anna's Hummingbird, a Pacific Coast resident, has one of the most unusual breeding schedules in North America โ and our data captures it beautifully.
Figure 3: Anna's Hummingbird vocal activity across Washington, Oregon, and California. Unlike most birds, this species shows winter peaks.
The data also reveals a clear latitudinal gradient: California dominates with nearly 200 recordings, while Oregon has just 14. This matches the species' range โ they're abundant in California but scarce in the Pacific Northwest.
Any analysis of citizen science data must grapple with a fundamental question: are we measuring bird activity, or human activity? The answer is both.
Figure 4: Total bird audio recordings by month. This represents recorder effort โ when people are out making recordings โ not necessarily when birds are most active.
In New York, recording effort is highly seasonal: almost 4,000 recordings in May, but fewer than 200 in January. California is more even year-round. This means raw counts can be misleading โ a species might appear to sing less in winter simply because fewer people are out recording.
Figure 5: Species-specific recordings (blue bars) with effort-corrected frequency (red line = percentage of all recordings). The red line helps reveal true seasonal patterns independent of recorder effort.
BloomingSongs is built entirely on publicly available data. Our primary source is the iNatSounds dataset โ a collection of 230,000+ wildlife sound recordings from iNaturalist, filtered to ~45,000 US bird recordings.
Unlike eBird observations (which include birds seen silently), every record in our dataset is an audio recording. This makes it a genuine proxy for vocal activity, not just presence.
45,435 recordings
1979-2023
Audio only
1,277 records
Recent observations
Presence data
22 records
"Singing" codes (S, S7)
Explicitly vocal
All code, data processing scripts, and documentation are open source. We believe in transparent, reproducible science.
BloomingSongs is an evolving project. Here's what we're working toward:
Interested in contributing? The project is open source and welcomes collaborators with skills in data science, ornithology, or web development.