Strong migratory connectivity across meta-populations of sympatric North Atlantic seabirds

Author:

Merkel B123,Descamps S1,Yoccoz NG2,Grémillet D45,Fauchald P6,Danielsen J7,Daunt F8,Erikstad KE69,Ezhov AV10,Harris MP8,Gavrilo M1112,Lorentsen SH13,Reiertsen TK6,Systad GH14,Lindberg Thórarinsson T15,Wanless S8,Strøm H1

Affiliation:

1. Norwegian Polar Institute, Fram Centre, PO Box 6606 Langnes, 9296 Tromsø, Norway

2. Department of Arctic and Marine Biology, University of Tromsø—The Arctic University of Norway, 9037 Tromsø, Norway

3. Akvaplan-niva, Fram Centre, PO Box 6606 Langnes, 9296 Tromsø, Norway

4. Centre d’Ecologie Fonctionnelle et Evolutive, UMR 5175, CNRS—Université de Montpellier—Université Paul-Valéry Montpellier—EPHE, Montpellier, France

5. FitzPatrick Institute, DST-NRF Centre of Excellence at the University of Cape Town, Rondebosch 7701, South Africa

6. Norwegian Institute for Nature Research, Fram Centre, PO Box 6606 Langnes, 9296 Tromsø, Norway

7. University of the Faroe Islands, Vestarabryggja 15, 100 Tórshavn, Faroe Islands

8. Centre for Ecology & Hydrology, Bush Estate, Penicuik, Midlothian EH26 0QB, UK

9. Centre for Biodiversity Dynamics, Department of Biology, Norwegian University of Science and Technology, 7491 Trondheim, Norway

10. Murmansk Marine Biological Institute, 17 Vladimirskaya Street, 183010 Murmansk, Russia

11. Association Maritime Heritage, 199106, Icebreaker "Krassin", The Lieutenant Schmidt emb., 23 Line, Saint Petersburg, Russia

12. National Park Russian Arctic, 168000, Sovetskikh Kosmonavtov Ave. 57, Archangelsk, Russia

13. Norwegian Institute for Nature Research, PO Box 5685 Sluppen, 7485 Trondheim, Norway

14. Norwegian Institute for Nature Research, Thormøhlensgate 55, 5006 Bergen, Norway

15. Northeast Iceland Nature Research Centre, Hafnarstétt 3, 640 Húsavík, Iceland

Abstract

Identifying drivers of population trends in migratory species is difficult, as they can face many stressors while moving through different areas and environments during the annual cycle. To understand the potential of migrants to adjust to perturbations, it is critical to study the connection of different areas used by different populations during the annual cycle (i.e. migratory connectivity). Using a large-scale tracking data set of 662 individual seabirds from 2 sympatric auk meta-populations (common guillemots Uria aalge and Brünnich’s guillemots U. lomvia) breeding in 12 colonies throughout the Northeast Atlantic, we estimated migratory connectivity in seasonal space use as well as occupied environmental niches. We found strong migratory connectivity, within and between species. This was apparent through a combination of seasonal space use and occupied environmental niches. Brünnich’s guillemot populations grouped into 2 and common guillemot populations into 5 previously undescribed spatiotemporal clusters. Common guillemot populations clustered in accordance with the variable population trends exhibited by the species, while Brünnich’s guillemot populations are declining everywhere where known within the study area. Individuals from different breeding populations in both species were clustered in their space and environmental use, utilising only a fraction of the potential species-wide range. Further, space use varied among seasons, emphasising the variable constraints faced by both species during the different stages of their annual cycle. Our study highlights that considering spatiotemporal dynamics, not only in space but also in occupied environmental niches, improves our understanding of migratory connectivity and thus population vulnerability in the context of global change.

Publisher

Inter-Research Science Center

Subject

Ecology,Aquatic Science,Ecology, Evolution, Behavior and Systematics

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