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The efficient integration of abundance and demographic data

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  • P. Besbeas
  • J.‐D. Lebreton
  • B. J. T. Morgan

Abstract

Summary. A drawback of a new method for integrating abundance and mark–recapture–recovery data is the need to combine likelihoods describing the different data sets. Often these likelihoods will be formed by using specialist computer programs, which is an obstacle to the joint analysis. This difficulty is easily circumvented by the use of a multivariate normal approximation. We show that it is only necessary to make the approximation for the parameters of interest in the joint analysis. The approximation is evaluated on data sets for two bird species and is shown to be efficient and accurate.

Suggested Citation

  • P. Besbeas & J.‐D. Lebreton & B. J. T. Morgan, 2003. "The efficient integration of abundance and demographic data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 52(1), pages 95-102, January.
  • Handle: RePEc:bla:jorssc:v:52:y:2003:i:1:p:95-102
    DOI: 10.1111/1467-9876.00391
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    Cited by:

    1. Mosnier, A. & Doniol-Valcroze, T. & Gosselin, J.-F. & Lesage, V. & Measures, L.N. & Hammill, M.O., 2015. "Insights into processes of population decline using an integrated population model: The case of the St. Lawrence Estuary beluga (Delphinapterus leucas)," Ecological Modelling, Elsevier, vol. 314(C), pages 15-31.
    2. Dennis, Emily B. & Kéry, Marc & Morgan, Byron J.T. & Coray, Armin & Schaub, Michael & Baur, Bruno, 2021. "Integrated modelling of insect population dynamics at two temporal scales," Ecological Modelling, Elsevier, vol. 441(C).
    3. Besbeas, P.T. & McCrea, R.S. & Morgan, B.J.T., 2022. "Selecting age structure in integrated population models," Ecological Modelling, Elsevier, vol. 473(C).
    4. Gimenez, Olivier & Rossi, Vivien & Choquet, Rémi & Dehais, Camille & Doris, Blaise & Varella, Hubert & Vila, Jean-Pierre & Pradel, Roger, 2007. "State-space modelling of data on marked individuals," Ecological Modelling, Elsevier, vol. 206(3), pages 431-438.
    5. Panagiotis Besbeas & Byron J. T. Morgan, 2017. "Variance estimation for integrated population models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 101(4), pages 439-460, October.
    6. Nichols, J.M. & Spendelow, J.A. & Nichols, J.D., 2017. "Using Optimal Transport Theory to Estimate Transition Probabilities in Metapopulation Dynamics," Ecological Modelling, Elsevier, vol. 359(C), pages 311-319.

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