Data from: Non-breeding European robins adjust their songs in noisy environments
Data files
Jul 02, 2025 version files 4.47 KB
-
README.md
2.49 KB
-
Robin_Song_Data.csv
1.98 KB
Abstract
Noise pollution is a global threat to biodiversity, significantly affecting acoustic communication in birds and other taxa. While European robins (Erithacus rubecula) adjust their songs in response to urban noise during the breeding season, little is known about song adjustments during the non-breeding season, when song plays a crucial role in survival by helping secure winter territories with adequate resources and shelter. To better understand the effect of noise on avian communication, we investigate whether robins modify their non-breeding song in noisy environments. We analysed the autumn songs of 25 robins exposed to varying background noise levels and found that robins increase the minimum frequency of their songs and extend phrase duration by singing fewer but longer syllables per phrase in noisy environments—adjustments that may mitigate acoustic masking. Our results provide valuable insights into the broader impact of urbanisation on bird communication and highlight the need to consider non-breeding vocal behaviour in conservation efforts. These findings underscore the year-round impact of noise pollution on birdsong, suggesting it affects various aspects of avian life history. However, it remains unclear whether these adjustments have evolutionary consequences for survival, as changes in key song parameters may affect how rivals interpret signals. Therefore, future studies should explore how vocal plasticity influences winter territory quality, predation rates, and individual survival.
Dataset DOI: 10.5061/dryad.s1rn8pkm3
Description of the data and file structure
To compile this dataset, we recorded 25 European robin (Erithacus rubecula) songs across six sites in the autumn of 2022 to explore whether noise pollution affected their non-breeding songs. After the focal robin stopped singing, we determined average background noise amplitude by taking a mean across four minutes. Hereafter, we scored the sound files in Raven Pro and extracted seven structural and frequency-based parameters. All data used in the analysis for the publication entitled "Non-breeding European robins adjust their songs in noisy environments" can be performed using this dataset.
Files and variables
The dataset entitled "Robin Song Data.csv" consists of 13 columns containing all data used in the statistical analysis of the paper "Non-breeding European robins adjust their songs in noisy environments". Below is an outline of all variables reported:
- Location: The site which the song was recorded.
- HourTime: The time which the song was recorded (rounded to the nearest hour time).
- dB level: The average background noise amplitude taken at the position where the song was recorded, in decibels
- dbmean: Mean-centred background noise amplitude calculated by subtracting the mean dB level across all datapoints from each individual measurement. This was used for more interpretable model intercepts.
- Recording Duration (s): Total length of the song recording, in seconds.
- Total Phrases: The total number of song phrases in a recording.
- Minimum Frequency (Hz): The lowest frequency across all syllables in a single phrases, averaged across all phrases within a recording, in Hertz.
- Maximum Frequency (Hz): The highest frequency across all syllables in a single phrases, averaged across all phrases within a recording, in Hertz.
- Bandwidth (Hz): The difference between the minimum and maximum song frequencies, in Hertz.
- Syllables per Phrase: The mean number of syllables per phrase across a recording.
- Syllable Duration (s): The mean duration of syllables across a recording, in seconds.
- Phrase Rate (per minute): The total number of phrases sung in a recording divided by the duration from the onset of the first phrase to end of the last phrase.
- Phrase Duration (s): The mean duration of phrases across a recording, in seconds.
Code/software
The data can be viewed in any standard spreadsheet software.
