TY - JOUR
T1 - Combining temperature-depth recorder and GPS data improves identification of foraging habitat in diving seabirds
AU - Johnston, Daniel T.
AU - Masden, Elizabeth A.
AU - Booth Jones, Katherine A.
AU - Humphreys, Elizabeth M.
N1 - © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2025.
PY - 2025/10/14
Y1 - 2025/10/14
N2 - Effective designation and management of Marine Protected Areas (MPAs) for the conservation of seabirds at sea requires a detailed understanding of where they forage. GPS tracking provides high-resolution spatial data, but this is limited to above-water positions and devices cannot function when submerged, making it difficult to record underwater movement of diving species. Temperature-Depth Recorders (TDRs) offer valuable insights into dive depth, profile, and duration, but do not provide the corresponding spatial coordinates needed to determine the environmental conditions at the time and location of dives. Until recently, there have been logistical and ethical difficulties in co-deploying these devices on birds. Combining GPS and TDR data can provide three-dimensional information, which is particularly important for diving species like the Black Guillemot Cepphus grylle. However, the methods for integrating TDR and GPS data vary and must be assessed for their effectiveness in identifying potential seabird foraging locations. In this study, we collected GPS and TDR data from breeding Black Guillemots on Lighthouse Island, Northern Ireland, to evaluate four methods for classifying foraging locations and examined the influence of each on perceived habitat selection. We compared: linearly interpolated dive locations, dives assigned to the nearest GPS fix in time, and hidden Markov models (HMMs) using either spatial information alone or combined with dive duration. Our findings revealed that hour of day, bathymetry, and distance from colony were strongly associated with foraging locations identified by all methods. The dives were predominantly benthic, occurring at depths of 13.47 m (± 6.22), and took place during daylight hours. While the GPS-only model identified similar environmental covariates and foraging distributions, it lacked the behavioural specificity provided by dive data. Therefore, models incorporating dive data offered a more biologically realistic representation of habitat use by Black Guillemots. These results highlight the importance of incorporating dive information when identifying foraging habitat in diving seabirds to ensure effective MPA designation and management plans.
AB - Effective designation and management of Marine Protected Areas (MPAs) for the conservation of seabirds at sea requires a detailed understanding of where they forage. GPS tracking provides high-resolution spatial data, but this is limited to above-water positions and devices cannot function when submerged, making it difficult to record underwater movement of diving species. Temperature-Depth Recorders (TDRs) offer valuable insights into dive depth, profile, and duration, but do not provide the corresponding spatial coordinates needed to determine the environmental conditions at the time and location of dives. Until recently, there have been logistical and ethical difficulties in co-deploying these devices on birds. Combining GPS and TDR data can provide three-dimensional information, which is particularly important for diving species like the Black Guillemot Cepphus grylle. However, the methods for integrating TDR and GPS data vary and must be assessed for their effectiveness in identifying potential seabird foraging locations. In this study, we collected GPS and TDR data from breeding Black Guillemots on Lighthouse Island, Northern Ireland, to evaluate four methods for classifying foraging locations and examined the influence of each on perceived habitat selection. We compared: linearly interpolated dive locations, dives assigned to the nearest GPS fix in time, and hidden Markov models (HMMs) using either spatial information alone or combined with dive duration. Our findings revealed that hour of day, bathymetry, and distance from colony were strongly associated with foraging locations identified by all methods. The dives were predominantly benthic, occurring at depths of 13.47 m (± 6.22), and took place during daylight hours. While the GPS-only model identified similar environmental covariates and foraging distributions, it lacked the behavioural specificity provided by dive data. Therefore, models incorporating dive data offered a more biologically realistic representation of habitat use by Black Guillemots. These results highlight the importance of incorporating dive information when identifying foraging habitat in diving seabirds to ensure effective MPA designation and management plans.
KW - Black guillemot
KW - Cepphus grylle
KW - Foraging ecology
KW - Marine protected areas
UR - https://www.scopus.com/pages/publications/105019111393
UR - https://www.scopus.com/pages/publications/105019111393#tab=citedBy
U2 - 10.1007/s00227-025-04742-0
DO - 10.1007/s00227-025-04742-0
M3 - Article
AN - SCOPUS:105019111393
SN - 0025-3162
VL - 172
JO - Marine Biology
JF - Marine Biology
IS - 11
M1 - 172 (2025)
ER -