Present address: Department of Biological Sciences, Imperial College at Silwood Park, Ascot, Berks, SL5 7PY, UK
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Predictors of reproductive cost in female Soay sheep
Article first published online: 19 JAN 2005
DOI: 10.1111/j.1365-2656.2005.00916.x
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How to Cite
TAVECCHIA, G., COULSON, T., MORGAN, B. J. T., PEMBERTON, J. M., PILKINGTON, J. C., GULLAND, F. M. D. and CLUTTON-BROCK, T. H. (2005), Predictors of reproductive cost in female Soay sheep. Journal of Animal Ecology, 74: 201–213. doi: 10.1111/j.1365-2656.2005.00916.x
Publication History
- Issue published online: 19 JAN 2005
- Article first published online: 19 JAN 2005
- Received 17 March 2004; revision received 12 May 2004
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Keywords:
- multistate model;
- recruitment;
- survival;
- trade-off function
Summary
- 1We investigate factors influencing the trade-off between survival and reproduction in female Soay sheep (Ovis aries). Multistate capture–recapture models are used to incorporate the state-specific recapture probability and to investigate the influence of age and ecological conditions on the cost of reproduction, defined as the difference between survival of breeder and non-breeder ewes on a logistic scale.
- 2The cost is identified as a quadratic function of age, being greatest for females breeding at 1 year of age and when more than 7 years old. Costs, however, were only present during severe environmental conditions (wet and stormy winters occurring when population density was high).
- 3Winter severity and population size explain most of the variation in the probability of breeding for the first time at 1 year of life, but did not affect the subsequent breeding probability.
- 4The presence of a cost of reproduction was confirmed by an experiment where a subset of females was prevented from breeding in their first year of life.
- 5Our results suggest that breeding decisions are quality or condition dependent. We show that the interaction between age and time has a significant effect on variation around the phenotypic trade-off function: selection against weaker individuals born into cohorts that experience severe environmental conditions early in life can progressively eliminate low-quality phenotypes from these cohorts, generating population-level effects.

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