Data from: Fifty years of bird ringing reveal opposing seasonal responses of migration timing to temperature and rainfall on Hilbre Island
Data files
Jul 07, 2026 version files 237.89 KB
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abundance_data.xlsx
9.13 KB
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autumnphen_data.xlsx
91.01 KB
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climate_data.xlsx
7.24 KB
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diversity_data.xlsx
8.77 KB
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README.md
2.10 KB
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springphen_data.xlsx
119.63 KB
Abstract
Understanding how populations respond to environmental variability is crucial for interpreting long-term monitoring data, especially for migratory species with complex life cycles that are susceptible to changing weather conditions and may show variation in stopover behaviour. Environmental pressures can influence the timing and duration of migratory stopovers, which may affect local species composition and capture patterns at observatories. This study analyses a 50-year bird ringing dataset from Hilbre Bird Observatory, a long-term monitoring site on England’s western coast that offers valuable insights into migratory bird patterns. Findings show that Hilbre Island has become warmer and wetter over time, and that the interaction of temperature and rainfall influences observed migration timing. While warmer conditions at the observatory coincide with earlier arrivals, concurrent increases in rainfall can delay arrivals, illustrating how local weather conditions affect patterns of capture. Seasonal ecological differences in residency were observed: in spring, warmer and wetter conditions result in shorter stopovers, whereas in autumn, the same conditions lead to longer stays. Analyses of abundance revealed species-specific variation, but no significant relationships were detected between local weather variables and overall capture numbers. Overall, the study highlights the complex, and sometimes opposing, effects of temperature and precipitation on bird migration and residency at Hilbre and emphasizes the value of long-term ringing data for detecting these patterns. The findings underscore the importance of considering weather-related sampling limitations when interpreting observatory data and provide a foundation for further studies on how local conditions influence observed migratory behaviour.
Dataset DOI: 10.5061/dryad.h44j0zq04
Description of the data and file structure
Data was collected by the Hilbre Bird Observatory as per protocols set by the British Trust Ornithology.
Files and variables
- abundance_data.xlsx - dataset used for abundance modelling
- autumnphen_data.xlsx - dataset used for autumn phenology modelling
- climate_data.xlsx - dataset used for climate modelling
- diversity_data.xlsx - dataset used for species modelling
- springphen_data.xlsx - dataset used for spring phenology modelling
Description:
Variables
- row_no: row number
- ring_no: ring ID
- record_type: ringing record type
- scheme: affiliated ringing scheme
- species: bird species
- age: bird age
- sex: bird sex
- wing_length: wing length (cm)
- weight: bird weight (g)
- processor: identity of person measuring bird
- bill: bill length (cm)
- fat: fat score (1-5)
- visit_date: date of capture
- visit_year: year of capture
- visit_month: month of capture
- visit_day: day of capture
- visit_date_orig: original date of capture
- YRAV_Snow_LOC_GRP: annual snowfall for local area (mm)
- YRAV_Rain_LOC_GRP: annual rainfall for local area (mm)
- YRAV_Temp_LOC_GRP: annual temperature for local area (°C)
- MTH_Rain_LOC_GRP: monthly rainfall for local area (mm)
- MTH_Temp_LOC_GRP: monthly temperature for local area (°C)
- YRAV_Snow_UK: annual snowfall for UK (mm)
- YRAV_Rain_UK: annual rainfall for UK (mm)
- YRAV_Temp_UK: annual temperature for UK (°C)
- MTH_Rain_UK: monthly rainfall for UK (mm)
- MTH_Temp_UK: monthly temperature for UK (°C)
Code/software
All data was analysed using a Bayesian approach with all models fitted and estimated using Hamiltonian Monte Carlo methods and Stan software (Stan Development Team 2021) with the brms package (Bürkner 2018) within R (R Core Team 2022).
Access information
Data was provided by the Warden of Hilbre Bird Observatory.
