DOI: https://doi.org/10.3354/meps14893
copiedLocal variations in population trends and migration strategies of Brünnich’s guillemots on Svalbard
ABSTRACT:
The conservation status of seabirds is of increasing concern, with climate change identified as one of the main threats. This is especially true for Arctic seabirds, which breed in one of the fastest-warming regions on Earth. On Svalbard, the number of Brünnich’s guillemots Uria lomvia has been declining since the late 1990s, mostly due to deteriorating wintering conditions; this conclusion was based on colonies located in the western and southern part of the archipelago. Here, we used new data from northeast Svalbard to investigate whether this trend holds true for other populations of Brünnich’s guillemots. We found that numbers of guillemots in northeast Svalbard have been increasing in the last decade. These contrasting trends are associated with different migration strategies. Birds from the northeast population winter in the northern Barents Sea, while the vast majority of western and southern Svalbard birds winter between Iceland and Canada. Despite rapid climate change, the northern Barents Sea still seems to provide adequate conditions for wintering seabirds. Our study highlights the need to consider spatial variation in population trends, even at a small spatial scale, when assessing the status of a given species. In the Northeast Atlantic, most Brünnich’s guillemots breed in southeast Svalbard and in the Russian Arctic, where they have been poorly studied. Our study indicates that population trends in these regions cannot be inferred from what is observed in south and west Svalbard. Geographically representative monitoring is necessary to reliably assess the status of Brünnich’s guillemots in this part of the Arctic.
KEYWORDS
Anker-Nilssen T, Bakken V, Strøm H, Golovkin AN, Bianki VV, Tatarinkova IP (2000) The status of marine birds breeding in the Barents sea region. Rapportserie 113. Norsk Polarinstitutt, Tromsø
Anker-Nilssen T, Barrett R, Lorentsen S, Strøm H and others (2015) SEAPOP. De ti første årene. Nøkkeldokument 2005-2014. SEAPOP, Norsk institutt for naturforskning, Norsk Polarinstitutt & Tromsø Museum-Universitetsmuseet Trondheim, Tromsø
Anker-Nilssen T, Fayet al. Aarvak T (2023) Top-down control of a marine mesopredator: Increase in native white-tailed eagles accelerates the extinction of an endangered seabird population. J Appl Ecol 60:445-452
Årthun M, Eldevik T, Smedsrud L, Skagseth Ø, Ingvaldsen R (2012) Quantifying the influence of Atlantic heat on Barents Sea ice variability and retreat. J Clim 25:4736-4743 Crossref
Bakken V, Mehlum F (2005) Wintering areas and recovery rates of Brünnich’s guillemots Uria lomvia ringed in the Svalbard archipelago. Arctic 58:268-275
Bates D, Mächler M, Bolker B, Walker S (2015) Fitting linear mixed-effects models using lme4. J Stat Softw 67:1-48 Crossref
BirdLife International (2018) Pagophila eburnea. The IUCN Red List of Threatened Species 2018: e.T22694473A132555020. Crossref
BirdLife International (2019) Rissa tridactyla (amended version of 2018 assessment). The IUCN Red List of Threatened Species 2019: e.T22694497A155617539. Crossref
Bråthen VS, Moe B, Amélineau F, Ekker M and others (2021) An automated procedure (v2. 0) to obtain positions from light-level geolocators in large-scale tracking of seabirds. A method description for the SEATRACK project. NINA Rep 1893. Norwegian Institute for Nature Research (NINA), Trondheim
Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretic approach, 2nd edn. Springer-Verlag, New York, NY
Calenge C (2006) The package ‘adehabitat’ for the R software: a tool for the analysis of space and habitat use by animals. Ecol Model 197:516-519 Crossref
Choquet R, Lebreton JD, Gimenez O, Reboulet AM, Pradel R (2009) U-CARE: Utilities for performing goodness of fit tests and manipulating CApture-REcapture data. Ecography 32:1071-1074 Crossref
Choquet R, Rouan L, Pradel R (2009) Program E-SURGE: a software application for fitting multievent models. In: Thomson DL, Cooch EG, Conroy MJ (eds) Modeling demographic processes in marked populations. Springer, Boston, MA, p 845-865
Cimino MA, Lynch HJ, Saba VS, Oliver MJ (2016) Projected asymmetric response of Adélie penguins to Antarctic climate change. Sci Rep 6:28785 PubMed Crossref
Clairbaux M, Rönkä M, Anker-Nilssen T, Artukhin Y and others (2024) An ecologically sound and participatory monitoring network for pan-Arctic seabirds. Conserv Biol 38:e14287 PubMed Crossref
Croxall JP, Butchart SHM, Lascelles B, Stattersfield AJ, Sullivan B, Symes A, Taylor P (2012) Seabird conservation status, threats and priority actions: a global assessment. Bird Conserv Int 22:1-34 Crossref
Davies TE, Carneiro APB, Tarzia M, Wakefield E and others (2021) Multispecies tracking reveals a major seabird hotspot in the North Atlantic. Conserv Lett 14:e12824 Crossref
Descamps S, Ramírez F (2021) Species and spatial variation in the effects of sea ice on Arctic seabird populations. Divers Distrib 27:2204-2217 Crossref
Descamps S, Strøm H (2021) As the Arctic becomes boreal: ongoing shifts in a high-Arctic seabird community. Ecology 102:e03485 PubMed Crossref
Descamps S, Strøm H, Steen H (2013) Decline of an arctic top predator: synchrony in colony size fluctuations, risk of extinction and the subpolar gyre. Oecologia 173:1271-1282 PubMed Crossref
Descamps S, Anker-Nilssen T, Barrett RT, Irons DB and others (2017) Circumpolar dynamics of a marine top-predator track ocean warming rates. Glob Change Biol 23:3770-3780 PubMed Crossref
Descamps S, Merkel B, Strøm H, Choquet R and others (2021) Sharing wintering grounds does not synchronize annual survival in a high Arctic seabird, the little auk. Mar Ecol Prog Ser 676:233-242
Desprez M, Jenouvrier S, Barbraud C, Delord K, Weimerskirch H (2018) Linking oceanographic conditions, migratory schedules and foraging behaviour during the non-breeding season to reproductive performance in a long-lived seabird. Funct Ecol 32:2040-2053 Crossref
Dias MP, Martin R, Pearmain EJ, Burfield IJ and others (2019) Threats to seabirds: a global assessment. Biol Conserv 237:525-537 Crossref
Dørum H, Descamps S, Moe B, Bårdsen BJ and others (2025) Intra-population variation in the effects of sea ice reduction on an Arctic breeding bird. Ecosphere 16:e70081 Crossref
Eriksen E, Skjoldal HR, Gjøsæter H, Primicerio R (2017) Spatial and temporal changes in the Barents Sea pelagic compartment during the recent warming. Prog Oceanogr 151:206-226 Crossref
Erikstad KE, Reiertsen TK, Barrett RT, Vikebø F, Sandvik H (2013) Seabird-fish interactions: the fall and rise of a common guillemot Uria aalge population. Mar Ecol Prog Ser 475:267-276 Crossref
Fauchald P, Anker-Nilssen T, Barrett RT, Bustnes JO and others (2015) The status and trends of seabirds breeding in Norway and Svalbard. NINA Rep 1151. Norwegian Institute for Nature Research (NINA), Tromsø
Fauchald P, Tarroux A, Amélineau F, Bråthen VS and others (2021) Year-round distribution of Northeast Atlantic seabird populations: applications for population management and marine spatial planning. Mar Ecol Prog Ser 676:255-276 Crossref
Fieberg J, Kochanny CO (2005) Quantifying home-range overlap: the importance of the utilization distribution. J Wildl Manag 69:1346-1359 Crossref
Fluhr J, Strøm H, Pradel R, Duriez O, Beaugrand G, Descamps S (2017) Weakening of the subpolar gyre as a key driver of North Atlantic seabird demography: a case study with Brünnich’s guillemots in Svalbard. Mar Ecol Prog Ser 563:1-11 Crossref
Fort J, Steen H, Strøm H, Tremblay Y and others (2013) Energetic consequences of contrasting winter migratory strategies in a sympatric Arctic seabird duet. J Avian Biol 44:255-262 Crossref
Foss Ø, Maton J, Moholdt G, Schmidt LS and others (2024) Ocean warming drives immediate mass loss from calving glaciers in the high Arctic. Nat Commun 15:10460 PubMed Crossref
Frederiksen M, Descamps S, Erikstad KE, Gaston AJ and others (2016) Migration and wintering of a declining seabird, the thick-billed murre Uria lomvia, on an ocean basin scale: conservation implications. Biol Conserv 200:26-35 Crossref
Frederiksen M, Descamps S, Elliott KH, Gaston AJ and others (2021) Spatial variation in vital rates and population growth of thick-billed murres in the Atlantic Arctic. Mar Ecol Prog Ser 672:1-13 Crossref
Gaston AJ, Nettleship DN (1981) The thick-billed murres of Prince Leopold Island. Monogr Ser 6. Canadian Wildlife Service, Environment Canada, Ottawa
Gaston AJ, Deforest LN, Donaldson G, Noble DG (1994) Population parameters of thick-billed murres at Coats Island, Northwest Territories, Canada. Condor 96:935-948 Crossref
Gerland S, Ingvaldsen RB, Reigstad M, Sundfjord A and others (2023) Still Arctic?—the changing Barents Sea. Elementa Sci Anthropocene 11:00088 Crossref
Grémillet D, Descamps S (2023) Ecological impacts of climate change on Arctic megafauna. Trends Ecol Evol 38:773-783 PubMed Crossref
Hanssen-Bauer I, Førland E, Hisdal H, Mayer S, Sandø AB, Sorteberg A (eds) (2019) Climate in Svalbard 2100—a knowledge base for climate adaptation. NCCS Rep 1/2019. Book 470. Norwegian Centre for Climate Services (NCCS) for the Norwegian Environment Agency (Miljødirektoratet), Trondheim
Harris M, Wanless S, Barton T (1996) Site use and fidelity in the common guillemot Uria aalge. Ibis 138:399-404 Crossref
Hop H, Gjøsæter H (2013) Polar cod (Boreogadus saida) and capelin (Mallotus villosus) as key species in marine food webs of the Arctic and the Barents Sea. Mar Biol Res 9:878-894 Crossref
Ingvaldsen RB, Gjøsæter H (2013) Responses in spatial distribution of Barents Sea capelin to changes in stock size, ocean temperature and ice cover. Mar Biol Res 9:867-877 Crossref
Isaksen K, Nordli Ø, Ivanov B, Køltzow MAØ and others (2022) Exceptional warming over the Barents area. Sci Rep 12:9371 PubMed Crossref
Kuletz KJ, Ferguson SH, Frederiksen M, Gallagher CP and others (2024) A review of climate change impacts on migration patterns of marine vertebrates in Arctic and Subarctic ecosystems. Front Environ Sci 12:1434549 Crossref
Kuznetsova A, Brockhoff PB, Christensen RHB (2017) lmerTest package: tests in linear mixed effects models. J Stat Softw 82:1-26 Crossref
Lack D (1968) Bird migration and natural selection. Oikos 19:1-9 Crossref
Lauria V, Attrill MJ, Brown A, Edwards M, Votier SC (2013) Regional variation in the impact of climate change: evidence that bottom-up regulation from plankton to seabirds is weak in parts of the Northeast Atlantic. Mar Ecol Prog Ser 488:11-22 Crossref
Layton-Matthews K, Reiertsen TK, Erikstad KE, Anker-Nilssen T and others (2023) Consequences of cross-season demographic correlations for population viability. Ecol Evol 13:e10312 PubMed Crossref
Lebreton JD, Burnham KP, Clobert J, Anderson DR (1992) Modeling survival and testing biological hypotheses using marked animals: a unified approach with case studies. Ecol Monogr 62:67-118 Crossref
Lisovski S, Bauer S, Briedis M, Davidson SC and others (2020) Light-level geolocator analyses: a user’s guide. J Anim Ecol 89:221-236 PubMed Crossref
Lorentsen SH, May R (2012) Inter-breeding movements of common guillemots (Uria aalge) suggest the Barents Sea is an important autumn staging and wintering area. Polar Biol 35:1713-1719 Crossref
Mallory ML, Gilchrist HG, Janssen M, Major HL, Merkel F, Provencher JF, Strøm H (2018) Financial costs of conducting science in the Arctic: examples from seabird research. Arct Sci 4:624-633 Crossref
Mehlum F, Hunt GL, Klusek Z, Decker MB, Nordlund N (1996) The importance of prey aggregations to the distribution of Brünnich’s guillemots in Storfjorden, Svalbard. Polar Biol 16:537-547 Crossref
Merkel B, Descamps S, Yoccoz NG, Grémillet D and others (2021) Individual migration strategy fidelity but no habitat specialization in two congeneric seabirds. J Biogeogr 48:263-275 Crossref
Merkel B, Descamps S, Yoccoz NG, Grémillet D and others (2021) Strong migratory connectivity across meta-populations of sympatric North Atlantic seabirds. Mar Ecol Prog Ser 676:173-188 Crossref
Nakagawa S, Cuthill IC (2007) Effect size, confidence interval and statistical significance: a practical guide for biologists. Biol Rev Camb Philos Soc 82:591-605 PubMed Crossref
Newton I (2007) Weather-related mass-mortality events in migrants. Ibis 149:453-467 Crossref
Onarheim IH, Årthun M (2017) Toward an ice-free Barents Sea. Geophys Res Lett 44:8387-8395 Crossref
Oro D (2014) Seabirds and climate: knowledge, pitfalls, and opportunities. Front Ecol Evol 2:79 Crossref
Patterson A, Gilchrist HG, Gaston A, Elliott KH (2021) Northwest range shifts and shorter wintering period of an Arctic seabird in response to four decades of changing ocean climate. Mar Ecol Prog Ser 679:163-179 Crossref
Pradel R, Sanz-Aguilar A (2012) Modeling trap-awareness and related phenomena in capture-recapture studies. PLOS ONE 7:e32666 PubMed Crossref
R Development Core Team (2024) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
Rantanen M, Karpechko AY, Lipponen A, Nordling K and others (2022) The Arctic has warmed nearly four times faster than the globe since 1979. Commun Earth Environ 3:168 Crossref
Richards C, Cooke RS, Bates AE (2021) Biological traits of seabirds predict extinction risk and vulnerability to anthropogenic threats. Glob Ecol Biogeogr 30:973-986 Crossref
Rodrigues AS, Pilgrim JD, Lamoreux JF, Hoffmann M, Brooks TM (2006) The value of the IUCN Red List for conservation. Trends Ecol Evol 21:71-76 PubMed Crossref
Sæther BE, Bakke O (2000) Avian life history variation and contribution of demographic traits to the population growth rate. Ecology 81:642-653 Crossref
Salton M, Saraux C, Dann P, Chiaradia A (2015) Carry-over body mass effect from winter to breeding in a resident seabird, the little penguin. R Soc Open Sci 2:140390 PubMed Crossref
Shapiro I, Colony R, Vinje T (2003) April sea ice extent in the Barents Sea, 1850-2001. Polar Res 22:5-10
Soldatini C, Albores-Barajas YV, Massa B, Gimenez O (2016) Forecasting ocean warming impacts on seabird demography: a case study on the European storm petrel. Mar Ecol Prog Ser 552:255-269 Crossref
Steenweg RJ, Crossin GT, Hennin HL, Gilchrist HG, Love OP (2022) Favorable spring conditions can buffer the impact of winter carryover effects on a key breeding decision in an Arctic-breeding seabird. Ecol Evol 12:e8588 PubMed Crossref
Strøm H (2006) Birds of Svalbard. In: Kovacs KM, Lydersen C (eds) Birds and mammals of Svalbard. Polarhåndbok 13. Norwegian Polar Institute, Tromsø, p 86-191
Strøm H, Gavrilo MV, Krasnov JV, Systad GH (2009) Seabirds. In: Stiansen JE, Korneev O, Titov O, Arneberg P and others (eds) Joint Norwegian-Russian environmental status 2008 Report on the Barents Sea Ecosystem Part II - Complete report. IMR/PINRO Joint Report Series No. 3/2009. Link
Strøm H, Bakken V, Skoglund A, Descamps S, Fjeldheim VB, Steen H (2020) Population status and trend of the threatened ivory gull Pagophila eburnea in Svalbard. Endang Species Res 43:435-445 Crossref
Strycker N, Wethington M, Borowicz A, Forrest S, Witharana C, Hart T, Lynch HJ (2020) A global population assessment of the Chinstrap penguin (Pygoscelis antarctica). Sci Rep 10:19474 PubMed Crossref
Svendsen H, Beszczynska-Moller A, Hagen JO, Lefauconnier B and others (2002) The physical environment of Kongsfjorden-Krossfjorden, an Arctic fjord system in Svalbard. Polar Res 21:133-166
Szostek KL, Becker PH (2015) Survival and local recruitment are driven by environmental carry-over effects from the wintering area in a migratory seabird. Oecologia 178:643-657 PubMed Crossref
Walsh PM, Halley DJ, Harris MP, del Nevo A, Sim IMW, Tasker ML (1995) Seabird monitoring handbook for Britain and Ireland. A compilation of methods for survey and monitoring of breeding seabirds. Joint Nature Conservation Committee, Royal Society of the Protection of Birds, Institute of terrestrial Ecology, Seabird Group, Peterborough
Wilson RP, Ducamp J, Rees WG, Culik BM, Niekamp K (1992) Estimation of location: global coverage using light intensity. In: Priede IM, Swift SM (eds) Wildlife telemetry: remote monitoring and tracking of animals. Ellis Horward, Chichester, p 131-134
Yamagami Y, Watanabe M, Mori M, Ono J (2022) Barents-Kara sea-ice decline attributed to surface warming in the Gulf Stream. Nat Commun 13:3767 PubMed Crossref
Zuur AF, Ieno EN, Walker NJ, Saveliev AA, Smirth GM (2009) Mixed effect models and extensions in ecology with R. Springer-Verlag, New York, NY
Sébastien Descamps (Corresponding Author)
- Norwegian Polar Institute, Fram Centre, 9296 Tromsø, Norway
Benjamin Merkel (Co-author)
- Norwegian Polar Institute, Fram Centre, 9296 Tromsø, Norway
Hallvard Strøm (Co-author)
- Norwegian Polar Institute, Fram Centre, 9296 Tromsø, Norway
Handling Editor:
Thierry Boulinier, Montpellier, France
Reviewers:
G. Robertson, F. Ramirez, M. Frederiksen
Acknowledgements:
This study was funded by programmes MOSJ (Environmental Monitoring of Svalbard and Jan Mayen; https://mosj.no/), SEAPOP (http://seapop.no/; Norwegian Research Council grant no. 192141) and SEATRACK (www.seatrack.net). We thank Fridtjof Mehlum and Vidar Bakken, who established the Brünnich’s guillemot monitoring programme in 1986 and 1988; Harald Steen who led the Brünnich’s guillemot programme on Spitsbergen between 2005 and 2010; and all summer field assistants who helped collect data since 1988, in particular Erlend Lorentzen, Malin Johansen, Iñigo López Sarasa, Antonio Vilches, Delphin Ruché, Saga Svavarsdottir, Solveig Føreland, Venke Ivarrud, Sigrid Engen, Fredrik D. Haug and Magnus Irgens for their long-term involvement. We also thank Dr. Caitlin Frankish for English editing.
