Now you see him, now you don't: experience, not age, is related to reproduction in kittiwakes

Author:

Desprez Marine1,Pradel Roger1,Cam Emmanuelle12,Monnat Jean-Yves3,Gimenez Olivier1

Affiliation:

1. Centre d'Écologie Fonctionnelle et Évolutive, Campus CNRS, UMR 5175, 1919 Route de Mende, 34293 Montpellier Cedex 5, France

2. Laboratoire Évolution et Diversité Biologique, CNRS, UMR 5174, Bâtiment 4R3, Université Paul Sabatier, Toulouse III, 118 Route de Narbonne, 31062 Toulouse Cedex 9, France

3. Penn Ar Run Izella, 29770 Goulien Cap Sizun, France

Abstract

In long-lived species, individuals can skip reproduction. The proportion of breeders affects population growth rate and viability, there is a need to investigate the factors influencing intermittent breeding. The theory predicts that if lack of experience is an important constraint, breeding probabilities should increase with experience for individuals of the same age, whereas under the so-called restraint hypothesis, breeding probabilities should increase with age regardless of experience. However, because the probability of detecting individuals in the wild is generally less than 1, it is difficult to know exactly the number of previous breeding episodes (breeding experience). To cope with this issue, we developed a hidden process model to incorporate experience as a latent state possibly influencing the probability of breeding. Using a 22-year mark-recapture dataset involving 9970 individuals, we analysed simultaneously experience and age effects on breeding probabilities in the kittiwake ( Rissa tridactyla ). We did not detect an influence of age on adult breeding probabilities. We found that inexperienced birds breed less frequently than experienced birds. Our approach enables us to highlight the key role of experience on adults breeding probabilities and can be used for a wide range of organisms for which detection is less than 1.

Publisher

The Royal Society

Subject

General Agricultural and Biological Sciences,General Environmental Science,General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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