Reproductive success is strongly related to local and regional climate in the Arctic snow bunting (Plectrophenax nivalis)
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Global climate change is regarded as one of the major threats to biodiversity. Both local and regional climate parameters can have strong effects on ecological processes affecting the survival and reproduction of plants and animals. High Arctic ecosystems are characterized by low species diversity and the local species have often evolved specific adaptations to the harsh Arctic environment. Here, we investigate the effect of local and regional climate parameters on snow bunting (Plectrophenax nivalis) reproductive success in the Arctic using a long-term dataset of 15 years. We found strong relationships between both local weather and the Arctic oscillation (AO), a regional climate index, with several breeding parameters. Onset of breeding was earlier in years with high spring temperatures and later in years with high AO index the preceding winter. Importantly, high AO winter index also increased the number of successful fledglings the following summer, possibly mediated via spring phenology. Nestling weight was negatively associated with the AO index during the breeding season. The strong effects of local and regional climate suggest that the ongoing global climate change could potentially have a large effect on this Arctic passerine population.
KeywordsClimate change Arctic oscillation Passerine
This study was funded by The Royal Norwegian Society of Sciences and Letters (grant to Y.E.), the Norwegian Research Council (student grants) and the Norwegian University of Science and Technology, NTNU. We would like to thank Jo Anders Auran, Roger Dahl, Gunn Frilund, Tommy Haugan, Eva Hofstad, Steffen Håkonsen, John Ivar Iversen, Tore K.S. Leren, Marie Lier, Mari Murtomaa, Ida A.C. Nävås, Per H. Olsen, Mari Berger Skjøstad and Tom Roger Østerås for valuable help during the fieldwork, and Ivar Herfindal for advice on statistical methods.
- Baayen R (2011) languageR: data sets and functions with “analyzing linguistic data: a practical introduction to statistics”. R package version 1.4Google Scholar
- Bangjord G, Pedersen Å, Djøseland O (1999) Hekkende snøspurv i fuglekasser på Svalbard. Vår Fuglefauna 22:109–111Google Scholar
- Bates D, Maechler M, Bolker B (2012) lme4: linear mixed-effects models using S4 classes. R package version 0.999999-0Google Scholar
- Cramp S, Perrins C (1994) Buntings and new world warblers. The birds of the Western Palearctic, vol IX. Oxford University Press, OxfordGoogle Scholar
- Førland EJ, Benestad R, Hanssen-Bauer I, Haugen JE, Skaugen TE (2011) Temperature and precipitation development at Svalbard 1900–2100. Adv Meterol (Article ID 893790)Google Scholar
- Hoset KS, Espmark Y, Moksnes A, Haugan T, Ingebrigtsen M, Lier M (2004) Effect of ambient temperature on food provisioning and reproductive success in snow buntings Plectrophenax nivalis in the high Arctic. Ardea 92:239–246Google Scholar
- Møller A, Fiedler W, Berthold P (eds) (2010) Effects of climate change on birds. Oxford University Press, New YorkGoogle Scholar
- R Development Core Team (2012) R: a language and environment for statistical computing. R Foundation for Statistical Computing, ViennaGoogle Scholar
- Skjøstad MB (2008) Sammenhengen mellom næringstilgang og reproduktiv suksess hos snøspurv (Plectrophenax nivalis). Master thesis, Norwegian University of Science and TechnologyGoogle Scholar
- Starck JM (1998) Avian growth and development: evolution within the altrical precocial spectrum. Oxford ornithology series. Oxford University Press, New YorkGoogle Scholar
- Walsh C, Mac Nally R (2008) hier.part: hierarchical partitioning. R package version 1.0-3Google Scholar