Finished! Looks like this project is out of data at the moment!
Inspiring! All Nest Quest Go! projects are now complete! With heart-felt gratitude to all those who have engaged with this work over the past five years! And there are many of you who have devoted thousands of hours in volunteer time--The Cornell Lab of Ornithology thanks you! Stay tuned for more formal communication once the classification data is downloaded, processed, and added to our NestWatch database.
Help us understand the historical nesting patterns of these beloved bluebirds!
Learn moreChoose your own adventure! There are many ways to engage with this project, including many one-question, smartphone-friendly options. Click on one of the boxes below and have fun!
Chat with the research team and other volunteers!
Every click counts! Join Nest Quest Go: Eastern Bluebirds's community to complete this project and help researchers produce important results. Click "View more stats" to see even more stats.
The work of citizen scientists, such as those who contribute to NestWatch, is what makes our research possible. Because of the efforts of nest monitors, we are able to look at patterns over long periods of time and large geographic areas.
Nest Quest Go: Eastern BluebirdsJoin the Cornell Lab of Ornithology's Citizen-Science Project, NestWatch in understanding the historical nesting patterns of Eastern Bluebirds. Eastern Bluebirds typically nest in nest boxes, old woodpecker holes, or in dead pine and oak trees, sometimes over 50 feet in the air! The nesting site is chosen by the male, who brings nesting materials to the site and waves his wings to attract a female, but the female is the sole builder and incubator of the eggs.
These nest record cards are a subset of a larger collection of more than 300,000 nest records that NestWatch is working on digitizing and transcribing. Valuable scientific questions can be asked and answered regarding the nesting behavior of birds over time by examining historical records. We hope to bring new discoveries to light using these previously hidden datasets.