1. Conservation efforts are constrained by our poor grasp of changing relationships between humans and other species. We used Internet query data describing relative public interest in different species of birds, and combined them with citizen science data describing relative encounter rates with those same taxa, to gain perspective on shifting relationships between people and birds in the United States. 2. National-level interest in birds increased an average of 12.6% across sequential 5-year periods while controlling for the volume of Internet searches and changing encounter rates with species in the United States. Geographic alignment of state-level interest in birds and state-level encounters with birds increased by an average of 5.7% across species. 3. In multivariate multiple regression analysis, we found that species did not move uniformly through a 2D “cultural niche space” between time periods. Shifts varied according to changes in federal protection afforded to species, by migratory strategy, whether species were native or introduced, and by taxonomic Order. 4. Together, these results suggest that people in the United States became more inquisitive about birds over a relatively short period of time, that their growing curiosity was directed disproportionately toward local species, and that cultural labels and species characteristics continue to shape relationships between people and birds. 5. By tracking shifts in the cultural niches of birds over time, we provide quantitative perspective on general patterns of socio-ecological change. And by identifying factors associated with those shifts, our results also offer specific information that can be used to improve conservation efforts aimed at particular species or groups of birds.

National-level_data.csv National-level interest and encounter rate data derived from Google Trends and eBird datasets, respectively. State-level_data.csv State-level interest and encounter rate data derived from Google Trends and eBird datasets, respectively. Covariates_and_results.csv Popularity and congruence metrics derived from analyses of interest and encounter rate data as well as taxonomic information, species traits, and cultural labels assigned to species. Metadata.csv Descriptions of variables in all files. README.txt