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Polar Biology

, Volume 38, Issue 3, pp 393–400 | Cite as

Reproductive success is strongly related to local and regional climate in the Arctic snow bunting (Plectrophenax nivalis)

  • Frode Fossøy
  • Bård G. Stokke
  • Tone Kjersti Kåsi
  • Kristian Dyrset
  • Yngve Espmark
  • Katrine S. Hoset
  • Morten Ingebrigtsen Wedege
  • Arne Moksnes
Original Paper

Abstract

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.

Keywords

Climate change Arctic oscillation Passerine 

Notes

Acknowledgments

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Frode Fossøy
    • 1
  • Bård G. Stokke
    • 1
  • Tone Kjersti Kåsi
    • 1
  • Kristian Dyrset
    • 1
  • Yngve Espmark
    • 1
  • Katrine S. Hoset
    • 2
  • Morten Ingebrigtsen Wedege
    • 3
  • Arne Moksnes
    • 1
  1. 1.Department of BiologyNorwegian University of Science and Technology (NTNU)TrondheimNorway
  2. 2.Section of Ecology, Department of BiologyUniversity of TurkuTurkuFinland
  3. 3.Norwegian Environment AgencyTrondheimNorway

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