Abstract
Estimating temporal variance in animal demographic parameters is of particular importance in population biology. We implement the Schall’s algorithm for incorporating temporal random effects in survival models using recovery data. Our frequentist approach is based on a formulation of band-recovery models with random effects as generalized linear mixed models and a linearization of the link function conditional on the random effects. A simulation study shows that our procedure provides unbiased and precise estimates. The method is then implemented on two case studies using recovery data on fish and birds.
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Acknowledgments
This work was supported by a grant from Agence Nationale de la Recherche (ANR-08-JCJC-0088-01) and two PEPS projects funded by Centre National de la Recherche Scientifique.
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Handling Editor: Pierre Dutilleul.
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Cubaynes, S., Lavergne, C. & Gimenez, O. Fitting animal survival models with temporal random effects. Environ Ecol Stat 21, 599–610 (2014). https://doi.org/10.1007/s10651-013-0270-3
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DOI: https://doi.org/10.1007/s10651-013-0270-3