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Estimating stop over duration in the presence of trap-effects

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  • Choquet, R.
  • Guédon, Y.
  • Besnard, A.
  • Guillemain, M.
  • Pradel, R.

Abstract

Detection probability of individuals is increasingly taken into account during field monitoring schemes and in demographic models. Conversely, it is often taken for granted that trappability of animals will remain fairly constant and broadly similar between individuals present in a given area. However, animals may change their behaviour after being trapped. In this paper, we introduce a new hidden Markovian model to estimate stop over duration in the presence of trap-effects. This model combines nonhomogeneous Markovian states with semi-Markovian states in the non-observable state process, and simple distributions with first-order Markov chains as observation models. This model generalizes previously proposed models and enables the joint modeling of the time of residence and the trap effect. Two cases are considered, depending on whether or not emigration is time-dependent since arrival. We illustrate the latter with teal Anas crecca wintering in Camargue, Southern France and we demonstrate the importance of handling trap-effects.

Suggested Citation

  • Choquet, R. & Guédon, Y. & Besnard, A. & Guillemain, M. & Pradel, R., 2013. "Estimating stop over duration in the presence of trap-effects," Ecological Modelling, Elsevier, vol. 250(C), pages 111-118.
    • Handle: RePEc:eee:ecomod:v:250:y:2013:i:c:p:111-118
    DOI: 10.1016/j.ecolmodel.2012.11.002
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    References listed on IDEAS

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    1. Bebbington, Mark & Lai, Chin-Diew & Zitikis, RiÄ ardas, 2007. "A flexible Weibull extension," Reliability Engineering and System Safety, Elsevier, vol. 92(6), pages 719-726.
    2. Fabrizio Sergio & Julio Blas & Manuela G. Forero & José Antonio Donázar & Fernando Hiraldo, 2007. "Sequential settlement and site dependence in a migratory raptor," Behavioral Ecology, International Society for Behavioral Ecology, vol. 18(5), pages 811-821.
    3. Roger Pradel, 2005. "Multievent: An Extension of Multistate Capture–Recapture Models to Uncertain States," Biometrics, The International Biometric Society, vol. 61(2), pages 442-447, June.
    4. Langrock, R. & Zucchini, W., 2011. "Hidden Markov models with arbitrary state dwell-time distributions," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 715-724, January.
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    Cited by:

    1. Choquet, Rémi & Garnier, Alexandre & Awuve, Edem & Besnard, Aurélien, 2017. "Transient state estimation using continuous-time processes applied to opportunistic capture–recapture data," Ecological Modelling, Elsevier, vol. 361(C), pages 157-163.

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