Mark-resighting analysis of a California gull population
| Autor: | Kenneth L. Diem, Roger Pradel, Bruce H. Pugesek, Chris Nations |
|---|---|
| Přispěvatelé: | Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]) |
| Rok vydání: | 1995 |
| Předmět: |
0106 biological sciences
Statistics and Probability education.field_of_study biology Population California gull biology.organism_classification Age and sex 010603 evolutionary biology 01 natural sciences 010605 ornithology Younger adults [SDE]Environmental Sciences Good evidence Statistics Probability and Uncertainty Larus education ComputingMilieux_MISCELLANEOUS Demography |
| Zdroj: | Journal of Applied Statistics Journal of Applied Statistics, Taylor & Francis (Routledge), 1995, 22 (5-6), pp.625-640. ⟨10.1080/02664769524504⟩ |
| ISSN: | 1360-0532 0266-4763 |
| DOI: | 10.1080/02664769524504 |
| Popis: | California gulls ( Larus californicus ) of known age and sex were censused on their breeding colony in 1979, 1980 and 1984 through 1993. Ages of 235 males and 196 females ranged from 4 to 27 years. Age classes used in the analysis were limited to 17, 4 through 19, and 20 or more as a final age category because data on gulls over 20 were sparse. Survival declined with age in a way that was parsimoniously modelled with a quadratic function. Other factors, sex and time, did not explain any variation in survival. Resighting depended on age, sex and time. Younger adults skipped breeding more frequently than did older adults, and females skipped breeding more frequently than did males. There was also good evidence for time dependence in resighting probability, but its inclusion in the model occurred at the expense of interpretability and precision. In a data set such as this, resighting probability may assume more importance than a mere 'nuisance parameter'. In this study, resighting history measured attendance... |
| Databáze: | OpenAIRE |
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