Estimating stop over duration in the presence of trap-effects
作者： R. Choquet , Y. Guédon , A. Besnard , M. Guillemain , R. Pradel
DOI: 10.1016/J.ECOLMODEL.2012.11.002
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摘要: Detection probability of individuals is increasingly taken into account during field monitoring schemes and in demographic models. Conversely, it often for granted that trappability animals will remain fairly constant broadly similar between present a given area. However, may change their behaviour after being trapped. In this paper, we introduce new hidden Markovian model to estimate stop over duration the presence trap-effects. This combines nonhomogeneous states with semi-Markovian non-observable state process, simple distributions first-order Markov chains as observation generalizes previously proposed models enables joint modeling time residence trap effect. Two cases are considered, depending on whether or not emigration time-dependent since arrival. We illustrate latter teal Anas crecca wintering Camargue, Southern France demonstrate importance handling
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sci-hub.se 参考文章(33)
Shirley Pledger, Murray Efford, Kenneth Pollock, Jaime Collazo, James Lyons, Stopover Duration Analysis with Departure Probability Dependent on Unknown Time Since Arrival Springer, Boston, MA. pp. 349- 363 ,(2009) , 10.1007/978-0-387-78151-8_15
Roger Pradel, The Stakes of Capture–Recapture Models with State Uncertainty Springer, Boston, MA. pp. 781- 795 ,(2009) , 10.1007/978-0-387-78151-8_36
Rémi Choquet, Lauriane Rouan, Roger Pradel, Program E-Surge: A Software Application for Fitting Multievent Models Springer, Boston, MA. pp. 845- 865 ,(2009) , 10.1007/978-0-387-78151-8_39
Rémi Choquet, Anne Viallefont, Lauriane Rouan, Kamel Gaanoun, Jean-Michel Gaillard, A semi-Markov model to assess reliably survival patterns from birth to death in free-ranging populations Methods in Ecology and Evolution. ,vol. 2, pp. 383- 389 ,(2011) , 10.1111/J.2041-210X.2011.00088.X
J. E. Dennis, Robert B. Schnabel, Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics, 16) Numerical Methods for Unconstrained Optimization and Nonlinear Equations (Classics in Applied Mathematics, 16). ,(1996)
Jared O'Connell, Søren Højsgaard, Hidden Semi Markov Models for Multiple Observation Sequences: The mhsmm Package for R Journal of Statistical Software. ,vol. 39, pp. 1- 22 ,(2011) , 10.18637/JSS.V039.I04
Walter Zucchini, Iain L. MacDonald, Roland Langrock, Hidden Markov Models for Time Series: An Introduction Using R ,(2009)
G CHURCHILL, Stochastic models for heterogeneous DNA sequences Bulletin of Mathematical Biology. ,vol. 51, pp. 79- 94 ,(1989) , 10.1016/S0092-8240(89)80049-7
Roger Pradel, Multievent: an extension of multistate capture-recapture models to uncertain states. Biometrics. ,vol. 61, pp. 442- 447 ,(2005) , 10.1111/J.1541-0420.2005.00318.X
Rémi Choquet, Jean-Dominique Lebreton, Olivier Gimenez, Anne-Marie Reboulet, Roger Pradel, U‐CARE: Utilities for performing goodness of fit tests and manipulating CApture–REcapture data Ecography. ,vol. 32, pp. 1071- 1074 ,(2009) , 10.1111/J.1600-0587.2009.05968.X