Cyclic variation in seasonal recruitment and the evolution of the seasonal decline in Ural owl clutch size

Brommer, J.E., Pietiainen, H. and Kokko, H. (2002) Cyclic variation in seasonal recruitment and the evolution of the seasonal decline in Ural owl clutch size. Proceedings of the Royal Society of London Series B: Biological Sciences, 269, pp. 647-654. (doi: 10.1098/rspb.2001.1929)

Abstract

Plastic life‐history traits can be viewed as adaptive responses to environmental conditions, described by a reaction norm. In birds, the decline in clutch size with advancing laying date has been viewed as a reaction norm in response to the parent's own (somatic or local environmental) condition and the seasonal decline in its offspring's reproductive value. Theory predicts that differences in the seasonal recruitment are mirrored in the seasonal decrease in clutch size. We tested this prediction in the Ural owl. The owl's main prey, voles, show a cycle of low, increase and peak phases. Recruitment probability had a humped distribution in both increase and peak phases. Average recruitment probability was two to three times higher in the increase phase and declined faster in the latter part of the season when compared with the peak phase. Clutch size decreased twice as steep in the peak (0.1 eggs day-1) as in the increase phase (0.05 eggs day-1). This result appears to refute theoretical predictions of seasonal clutch size declines. However, a re–examination of current theory shows that the predictions of modelling are less robust to details of seasonal condition accumulation in birds than originally thought. The observed pattern can be predicted, assuming specifically shaped seasonal increases in condition across individuals.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: UNSPECIFIED
• Authors: Brommer, J.E., Pietiainen, H., and Kokko, H.
• College/School: College of Medical Veterinary and Life Sciences
• Journal Name: Proceedings of the Royal Society of London Series B: Biological Sciences
• ISSN: 0962-8452
• ISSN (Online): 1471-2954