Arctic tern flyways and the changing Atlantic Ocean wind patterns

• Published in: Climate Change Ecology
• Main Authors: Skyllas, Nomikos, Loonen, Maarten J.J.E., Bintanja, Richard
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2023
• Subjects: Arctic tern; Migration strategy; Geolocator; Atlantic Ocean; Arctic climate change; Wind circulation; Arctic; Svalbard; Climate change
• Online Access: https://hdl.handle.net/11370/9d9b6f8d-6824-4438-a960-518ab79b049a; https://research.rug.nl/en/publications/9d9b6f8d-6824-4438-a960-518ab79b049a; https://doi.org/10.1016/j.ecochg.2023.100076; https://pure.rug.nl/ws/files/703921003/1-s2.0-S2666900523000126-main.pdf

Migratory bird trajectories are the result of their own speed and direction in combination with wind speed and direction. Several studies have focused on the interplay between bird migration and general wind patterns, however, the majority of them did not take into account climate change and used a small number of individuals. By integrating tracking data from two populations of Arctic terns (n = 72) with ERA5 and Earth System Model (ESM) wind data, we were able to study the current conditions and the potential effects of climate change on them. The Svalbard birds experienced wind support values around 3 m/s with a relatively low variability, while the Dutch population experienced almost no wind support with a greater variability. Svalbard terns exhibited better adjustment of their flyways to daily and annually varying wind conditions, and responded to crosswinds by drifting over extended periods/regions (median Drift Ratio ± standard deviation: 0.51 ± 0.18) while the Dutch population mostly compensated (0 ± 0.31). We suggest that the Svalbard birds will be able to adapt their flyways to future Atlantic Ocean wind pattern changes, while we are uncertain whether the Dutch population can keep compensating for future changes or not. We examine the robustness of our results by using a selection of ESMs and by including metrics for several uncertainty sources (ESMs, wind variability, tracking method etc.). This study highlights the importance of wind as a flyway-shaping factor and points out the possibility for different responses to wind by different populations of the same species, in different Ocean regions and seasons.