Spatial modelling of aerial survey data reveals an important European storm-petrel hotspot and its underlying drivers within the North-East Atlantic
Data files
Jun 19, 2025 version files 1.42 GB
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aerial_survey_data.zip
5.69 MB
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chl_8d.zip
321.30 MB
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env_data_download.csv
1.58 MB
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README.md
7.47 KB
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salinity.zip
792.97 MB
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shapefiles.zip
1.98 MB
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sss_8d.zip
110.10 MB
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sst_8d.zip
191.12 MB
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storm_petrel_colonies.csv
13.47 KB
Abstract
Determining the distribution and population size of marine species is crucial for conservation and management. However, for many species, the abundance and at-sea distribution are poorly known because of their large geographic ranges, high mobility, and cryptic breeding habits. This is especially true for small pelagic seabirds such as the European storm-petrel. Large-scale observer-based aerial surveys were conducted over four summers in the North-East Atlantic extending 200 nautical miles from the coast of Ireland. Species distribution models were produced using generalised additive models with a combination of static and dynamic environmental variables to assess the impact of survey altitude on storm-petrel detectability, and to model their abundance and distribution. Reduced storm-petrel detectability was identified at higher survey altitudes and rougher seas, and an at-sea abundance of 154,044 (95% CI: 94,347 – 452,299) individuals was estimated. Our results reveal fine scale variation in the spatial distribution of storm-petrels and highlight the unsuitability of foraging radius distribution models for such species. Storm-petrels were found to avoid coastal areas, which we speculate is linked to the avoidance of large coastal avian predators during the day. Although the continental shelf edge was highlighted as a significant feature in the distribution of this pelagic species, a more prominent hotspot was identified in neritic areas, 20-40km off the south and south-west coasts of Ireland in a region highly influenced by shelf fronts, coastal currents, upwellings, and eddies in the summer months. The identified hotspot has global significance since Ireland holds more than 20% of the entire European storm-petrel breeding population.
https://doi.org/10.5061/dryad.c2fqz61kc
Description of the data and file structure
Offshore broad-scale and coastal fine-scale aerial surveys were conducted in the Irish Exclusive Economic Zone (EEZ) by a team of trained observers between May and September in 2015, 2016, 2021, and 2022, following a standard strip-transect methodology. All sightings of storm-petrels within 200m of the transect line on each side of the aircraft, and the group size, were recorded. Generalised Additive Models (GAMs) were used to predict the distribution and abundance of storm-petrels in the study area using this extensive survey dataset and a combination of static and dynamic predictor variables.
Files and variables
File: aerial_survey_data.zip
Description: Folder containing aerial survey effort and storm-petrel sightings for each survey period.
Files:
- aut_fs_16.csv: Autumn, fine-scale, 2016
- aut_fs_21.csv: Autumn, fine-scale, 2021
- aut_fs_22.csv: Autumn, fine-scale, 2022
- sum_bs_15.csv: Summer, broad-scale, 2015
- sum_bs_16.csv: Summer, broad-scale, 2016
- sum_fs_16.csv: Summer, fine-scale, 2016
- sum_bs_21.csv: Summer, broad-scale, 2021
- sum_fs_21.csv: Summer, fine-scale, 2021
- sum_bs_22.csv: Summer, broad-scale, 2022
- sum_fs_22.csv: Summer, fine-scale, 2022
Variables:
timestampUTC - date time
transect and transect_ID - identification code for individual survey transects
latitude and longitude
effort_num - indicates whether both, one, or neither side of the aircraft were “on effort” and collecting data.
- 1.0 = both sides of aircraft on effort
- 0.5 = one side of aircraft on effort, one side of aircraft off effort
- 0 = both sides of aircraft off effort
species - indicates when storm-petrels were observed
number - group size of storm-petrel sightings
sea_state - Beaufort sea state recorded by observers
stratum - indicates which stratum within the Irish EEZ the survey transects were conducted in (broad-scale surveys only)
Usage notes: R or Microsoft Excel can be used to view these csv files.
File: storm_petrel_colonies.csv
Description: Location of European storm-petrel colonies in Britain and Ireland sourced from Burnell et al. (2023).
Burnell, D., Perkins, A.J., Newton, S.F., Bolton, M., Tierney, T.D., Dunn, T.E., 2023. Seabirds Count: a census of breeding seabirds in Britain and Ireland (2015-2021). Lynx Nature Books, Barcelona.
Variables:
country, county - general location of colony
site - colony name
latitude - latitude of colony
longitude - longitude of colony
pairs - number of breeding pairs at colony
Usage notes: R or Microsoft Excel can be used to view this csv file.
File: shapefiles.zip
Description: Shapefiles of (1) Irish EEZ, and (2) Ireland and Britain
Usage notes: These shapefiles can be opened and used in any GIS software and in R. A shapefile consists of multiple file types. The user only interacts directly with the .shp file but the other files need to be in the same directory.
File: env_data_download.csv
Description: Chlorophyll-a concentration (mg m^-3) and Sea Surface Temperature (degrees celsius) for the centre point of each 4x4km grid cell. Data is at 8 day temporal and 4km spatial resolution and was interpolated using inverse-distance-weighted interpolation. Sourced from Movebank’s Env-DATA service (https://www.movebank.org/) which uses NASA’s MODIS satellite data.
Variables:
season: survey period
id: grid cell ID
timestamp: date time
location-long: longitude of grid cell centre point
location-lat: latitude of grid cell centre point
MODIS Ocean Aqua OceanColor 4km 8d Chlorophyll A (OCI): Chlorophyll-a concentration (mg m^-3)
MODIS Ocean Aqua OceanColor 4km 8d Daytime SST: Sea Surface Temperature (degrees celsius)
Usage notes: R or Microsoft Excel can be used to view these csv files.
File: salinity.zip
Description: Folder containing daily Sea Surface Salinity (SSS; so / 10^-3) data sourced from Copernicus Marine Service Ocean Products database (https://marine.copernicus.eu/). This folder contains separate .nc files for each day of the months aerial surveys were conducted and cover the area of the Irish EEZ. File format: NetCDF. Each filename in this folder is structured as SSS_date.nc (e.g. SSS_20150601.nc).
Usage notes: The data are provided in NetCDF-4 (.nc) format and can be opened in R, Panoply or HDFView.
File: chl_8d.zip
Description: Folder containing 8-day 4km Chlorophyll-a concentration (CHL; mg m^-3) data for the median Julian day of survey transects for all years from 2015-2022 used for model predictions. Sourced from NASA’s Ocean Biology Processing Group (https://oceandata.sci.gsfc.nasa.gov/l3/). File format: NetCDF. Each filename in this folder is structured as CHL_startdate_enddate.nc (e.g. CHL_20150712_20150719.nc).
Usage notes: The data are provided in NetCDF-4 (.nc) format and can be opened in R, Panoply or HDFView.
File: sst_8d.zip
Description: Folder containing 8-day 4km Sea Surface Temperature (SST; degrees celsius) data for the median Julian day of survey transects for all years from 2015-2022 used for model predictions. Sourced from NASA’s Ocean Biology Processing Group (https://oceandata.sci.gsfc.nasa.gov/l3/). File format: NetCDF. Each filename in this folder is structured as SST_startdate_enddate.nc (e.g. SST_20150712_20150719.nc).
Usage notes: The data are provided in NetCDF-4 (.nc) format and can be opened in R, Panoply or HDFView.
File: sss_8d.zip
Description: Folder containing daily Sea Surface Salinity (SSS; so / 10^-3) data from which the 8-day mean for the median Julian day of survey transects for all years from 2015-2022 can be calculated for model predictions. Sourced from Copernicus Marine Service Ocean Products database (https://marine.copernicus.eu/). File format: NetCDF. Each filename in this folder is structured as SSS_date.nc (e.g. SSS_20150712.nc).
Usage notes: The data are provided in NetCDF-4 (.nc) format and can be opened in R, Panoply or HDFView.
Code/software
File: R_code.zip
All analysis was completed using R. R is required to run the code scripts in this folder.
Access information
Data was derived from the following sources:
The environmental variables used in this analysis were sourced from:
- Movebank’s Env-DATA service (https://www.movebank.org/)
- NASA’s Ocean Processing Group (https://oceandata.sci.gsfc.nasa.gov/l3/)
- Copernicus Marine Service Ocean Products database (https://marine.copernicus.eu/)
Location of European storm-petrel colonies was sourced from:
- Burnell, D., Perkins, A.J., Newton, S.F., Bolton, M., Tierney, T.D., Dunn, T.E., 2023. Seabirds Count: a census of breeding seabirds in Britain and Ireland (2015-2021). Lynx Nature Books, Barcelona.