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Estimating Survival Probabilities from Mark-Re-Encounter Data

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Modelling Population Dynamics

Part of the book series: Methods in Statistical Ecology ((MISE))

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Abstract

There are many reasons why we are interested in how long wild animals survive. A particularly pressing one is so that we can evaluate the effects of climate and anthropomorphic changes. In an early example, North and Morgan (1979) demonstrated a link between winter temperature and the survival of grey herons, Ardea cinerea, using point-process models as well as logistic regression, as in Sect. 5.1. As a further example, one might be interested in calibrating the effect of a change in hunting regulations on survival probability of wild fowl.

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Authors and Affiliations

  1. Stockton Fish and Wildlife Office, Pacific Southwest Region U.S. Fish and Wildlife Service, Lodi, CA, USA

    K. B. Newman

  2. CREEM The Observatory Buchanan Gdns, St. Andrews, UK

    S. T. Buckland, R. King, D. L. Borchers & L. Thomas

  3. School of Mathematics, Statistics and Actuarial Science, University of Kent, Canterbury, Kent, UK

    B. J. T. Morgan, D. J. Cole & P. Besbeas

  4. Department of Statistics, Athens University of Economics and Business, Athens, Greece

    P. Besbeas

  5. Centre d’Écologie Fonctionnelle et Évolutive, UMR 5175 Campus du CNRS, Montpellier cedex 5, France

    O. Gimenez

Authors
  1. K. B. Newman
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  2. S. T. Buckland
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  3. B. J. T. Morgan
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  4. R. King
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  5. D. L. Borchers
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  6. D. J. Cole
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  7. P. Besbeas
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  8. O. Gimenez
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  9. L. Thomas
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Newman, K.B. et al. (2014). Estimating Survival Probabilities from Mark-Re-Encounter Data. In: Modelling Population Dynamics. Methods in Statistical Ecology. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-0977-3_7

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