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The Efficient Semiparametric Regression Modeling of Capture-Recapture Data: Assessing the Impact of Climate on Survival of Two Antarctic Seabird Species

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Modeling Demographic Processes In Marked Populations

Part of the book series: Environmental and Ecological Statistics ((ENES,volume 3))

Abstract

A nonparametric approach has recently been proposed for estimating survival in capture-recapture models, which uses penalized splines to achieve flexibility in exploring the relationships with environmental covariates. However, this method is highly time-consuming because it is implemented through a fully Bayesian approach using Markov chain Monte Carlo simulations. To cope with this issue, we developed a two-step approach in which the existing method is used in conjunction with a multivariate normal approximation to the capture-recapture data likelihood. The ability of our approach to capture various nonlinearities in demographic parameters was validated by carrying out a simulation study. Two examples dealing with Snow petrel and Emperor penguin capture-recapture data sets were also considered to illustrate our procedure, including the relationship between survival rate, population size and climatic covariates.

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Correspondence to Olivier Gimenez .

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Gimenez, O., Barbraud, C. (2009). The Efficient Semiparametric Regression Modeling of Capture-Recapture Data: Assessing the Impact of Climate on Survival of Two Antarctic Seabird Species. In: Thomson, D.L., Cooch, E.G., Conroy, M.J. (eds) Modeling Demographic Processes In Marked Populations. Environmental and Ecological Statistics, vol 3. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-78151-8_3

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