H. Akaike, Factor analysis and AIC, Psychometrika, vol.17, issue.3, pp.317-332, 1987.
DOI : 10.1007/BF02294359

J. A. Amat, F. Hortas, G. M. Arroyo, M. A. Rend-on, J. M. Ramirez et al., Interannual variations in feeding frequencies and food quality of greater flamingo chicks (Phoenicopterus roseus): Evidence from plasma chemistry and effects on body condition, Comparative Biochemistry and Physiology Part A: Molecular & Integrative Physiology, vol.147, issue.2, pp.569-576, 2007.
DOI : 10.1016/j.cbpa.2007.02.006

A. M. Booth, E. O. Minot, R. A. Fordham, and M. J. Imber, Co-ordinated food provisioning in the Little Shearwater Puffinus assimilis haurakiensis: a previously undescribed foraging strategy in the Procellariidae, Ibis, vol.110, issue.1, pp.144-146, 2000.
DOI : 10.1111/j.1474-919X.2000.tb07696.x

A. A. Bryant and R. E. Page, ), Canadian Journal of Zoology, vol.83, issue.5, pp.674-682, 2005.
DOI : 10.1139/z05-055

F. Chaubert-pereira, Y. Gu-edon, C. Lavergne, and C. Trottier, Markov and Semi-Markov Switching Linear Mixed Models Used to Identify Forest Tree Growth Components, Biometrics, vol.85, issue.3, pp.753-762, 2010.
DOI : 10.1111/j.1541-0420.2009.01338.x
URL : https://hal.archives-ouvertes.fr/inria-00488100

R. Choquet, L. Rouan, and R. Pradel, Program E-Surge: A Software Application for Fitting Multievent Models, Modeling demographic processes in marked populations of Springer series: environmental and ecological statistics environmental and ecological statistics, pp.845-865, 2009.
DOI : 10.1007/978-0-387-78151-8_39

R. Choquet, A. Viallefont, L. Rouan, K. Gaanoun, and J. M. Gaillard, A semi-Markov model to assess reliably survival patterns from birth to death in free-ranging populations, Methods in Ecology and Evolution, vol.52, issue.4, pp.383-389, 2011.
DOI : 10.1111/j.2041-210X.2011.00088.x

R. Choquet, C. Carri-e, T. Chambert, and T. Boulinier, Estimating transitions between states using measurements with imperfect detection: application to serological data, Ecology, vol.94, issue.10, pp.2160-2165, 2013.
DOI : 10.1890/07-0098.1

. Pradel, Estimating stop over duration in presence of trap-effects, Ecol. Modell, vol.250, pp.111-118
URL : https://hal.archives-ouvertes.fr/hal-00828839

F. Colchero and J. S. Clark, Bayesian inference on age-specific survival for censored and truncated data, Journal of Animal Ecology, vol.90, issue.1, pp.139-149, 2012.
DOI : 10.1111/j.1365-2656.2011.01898.x

J. Dennis and R. Schnabel, Numerical methods for unconstrained optimization and nonlinear equations, Classics in applied mathematics. SIAM, 1983.
DOI : 10.1137/1.9781611971200

M. W. Dietz, K. G. Rogers, and T. Piersma, When the Seasons Don't Fit: Speedy Molt as a Routine Carry-Over Cost of Reproduction, PLoS ONE, vol.96, issue.Suppl 1, p.53890, 2013.
DOI : 10.1371/journal.pone.0053890.s010

R. Fewster and N. Patenaude, Cubic Splines for Estimating the Distribution of Residence Time Using Individual Resightings Data, Modeling demographic processes in marked populations, pp.393-415, 2009.
DOI : 10.1007/978-0-387-78151-8_17

Y. Gu-edon, Computational methods for discrete hidden semi-Markov chains, Appl. Stoch. Model. Bus, vol.15, pp.195-224, 1999.

Y. Gu-edon, Estimating Hidden Semi-Markov Chains From Discrete Sequences, Journal of Computational and Graphical Statistics, vol.12, issue.3, pp.604-639, 2003.
DOI : 10.1198/1061860032030

Y. Gu-edon, Hidden hybrid Markov/semi-Markov chains, Computational Statistics & Data Analysis, vol.49, issue.3, pp.663-688, 2005.
DOI : 10.1016/j.csda.2004.05.033

S. Hamel, J. M. Gaillard, N. G. Yoccoz, A. Loison, C. Bonenfant et al., Fitness costs of reproduction depend on life speed: empirical evidence from mammalian populations, Ecology Letters, vol.72, issue.7, pp.915-935, 2010.
DOI : 10.1111/j.1461-0248.2010.01478.x
URL : https://hal.archives-ouvertes.fr/hal-00539492

J. Johnson and F. Cezilly, The Greater Flamingo, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00361322

V. Kulkarni, Modeling and analysis of stochastic systems, 1995.

R. Langrock and W. Zucchini, Hidden Markov models with arbitrary state dwell-time distributions, Computational Statistics & Data Analysis, vol.55, issue.1, pp.715-724, 2011.
DOI : 10.1016/j.csda.2010.06.015

J. D. Lebreton, K. Burnham, J. Clobert, and D. Anderson, Modeling Survival and Testing Biological Hypotheses Using Marked Animals: A Unified Approach with Case Studies, Ecological Monographs, vol.62, issue.1, pp.67-118, 1992.
DOI : 10.2307/2937171

W. A. Link and R. J. Barker, Modeling Association among Demographic Parameters in Analysis of Open Population Capture-Recapture Data, Biometrics, vol.46, issue.1, pp.46-54, 2005.
DOI : 10.1214/ss/1009212521

E. Lorentzen, R. Choquet, and H. Steen, Modelling state uncertainty with photo series data for the estimation of breeding success in a cliff-nesting seabird, Journal of Ornithology, vol.49, issue.S2, pp.477-483, 2012.
DOI : 10.1007/s10336-011-0723-0

E. Matechou, S. Pledger, M. Efford, B. J. Morgan, and D. L. Thomson, Estimating age-specific survival when age is unknown: open population capture-recapture models with age structure and heterogeneity, Methods in Ecology and Evolution, vol.39, issue.7, pp.654-664, 2013.
DOI : 10.1111/2041-210X.12061

O. Connell, J. , and S. Hojsgaard, Hidden semi-Markov models for multiple observation sequences: The mhsmm package for R, J. Stat. Softw, vol.39, pp.1-22, 2011.

O. Connell, J. , F. Togersen, N. Friggens, P. Lovendahl et al., Combining Cattle Activity and Progesterone Measurements Using Hidden Semi-Markov Models, Journal of Agricultural, Biological, and Environmental Statistics, vol.6, issue.1, pp.1-16, 2011.
DOI : 10.1007/s13253-010-0033-7
URL : https://hal.archives-ouvertes.fr/hal-01186803

E. R. Pianka, On r- and K-Selection, The American Naturalist, vol.104, issue.940, pp.592-597, 1970.
DOI : 10.1086/282697

S. M. Pledger, K. H. Efford, J. Pollock, J. Collazo, and . Lyons, Stopover Duration Analysis with Departure Probability Dependent on Unknown Time Since Arrival, Modeling demographic processes in marked populations of Springer series: environmental and ecological statistics, pp.349-363, 2009.
DOI : 10.1007/978-0-387-78151-8_15

R. Pradel, Utilization of Capture-Mark-Recapture for the Study of Recruitment and Population Growth Rate, Biometrics, vol.52, issue.2, pp.703-709, 1996.
DOI : 10.2307/2532908

R. Pradel, The stakes of capture?recapture models with state uncertainty series: environmental and ecological statistics, Modeling demographic processes in marked populations, pp.781-795, 2009.

B. E. Saether, S. Engen, A. P. Moller, H. Weimerskirch, M. E. Visser et al., Life-history variation predicts the effects of demographic stochasticity on avian population dynamics, Am. Nat, vol.164, pp.793-802, 2004.

L. Schmaltz, F. , and A. Echet, Using multistate recapture modelling to assess age-specific bottlenecks in breeding success: a case study in the greater flamingo Phoenicopterus roseus, Journal of Avian Biology, vol.95, issue.2, pp.1-9, 2011.
DOI : 10.1111/j.1600-048X.2010.05112.x
URL : https://hal.archives-ouvertes.fr/hal-00594752

J. Shaman and A. Karspeck, Forecasting seasonal outbreaks of influenza, Proc. Natl Acad. Sci. USA, pp.20425-20430, 2012.
DOI : 10.1073/pnas.1208772109

R. Van-hulst, On the dynamics of vegetation: Markov chains as models of succession, Vegetatio, vol.39, issue.2, pp.3-14, 1979.
DOI : 10.1007/BF00052009

E. F. Zipkin, C. S. Jennelle, and E. G. Cooch, A primer on the application of Markov chains to the study of wildlife disease dynamics, Methods in Ecology and Evolution, vol.353, issue.2, pp.192-198, 2010.
DOI : 10.1111/j.2041-210X.2010.00018.x