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9 - Population dynamics

Published online by Cambridge University Press:  05 June 2012

Michael A. McCarthy
Affiliation:
University of Melbourne
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Summary

WinBUGS is essentially a programming language that is particularly useful for generating a range of probability distributions. As such, it can be used to simulate a range of stochastic models. In ecology, some of the most common forms of stochastic models are those for predicting the viability of species (Shaffer, 1981; Gilpin and Soulé, 1986; Burgman et al., 1993).

There are several advantages of using WinBUGS to simulate population dynamics. One is the broad range of probability distributions that is available. Another is that it is relatively easy to extend the simulation to consider how uncertainty in the parameter estimates for the model influences uncertainty in its predictions. This use of WinBUGS is illustrated here with a model of the dynamics of mountain pygmy possums.

Mountain pygmy possums

Mountain pygmy possums are small (adult body weight of 40–45 g) terrestrial possums inhabiting alpine regions of southeastern Australia. The species occurs in the Snowy Mountains in New South Wales, the Hotham/Bogong region in Victoria, and in the vicinity of Mt Buller in Victoria. Populations in these regions are variously fragmented. Typical breeding areas are boulder fields above the snowline (approximately 1500 m above sea level). The species is omnivorous, eating a range of invertebrates (Bogong moths in particular) and plant matter (Mansergh et al., 1990; Smith and Broome, 1992). Breeding occurs in spring, with a single litter of four offspring being produced. Males migrate from the breeding areas by the end of summer, and typically over-winter in areas up to several kilometres away.

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Publisher: Cambridge University Press
Print publication year: 2007

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  • Population dynamics
  • Michael A. McCarthy, University of Melbourne
  • Book: Bayesian Methods for Ecology
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511802454.011
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  • Population dynamics
  • Michael A. McCarthy, University of Melbourne
  • Book: Bayesian Methods for Ecology
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511802454.011
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Population dynamics
  • Michael A. McCarthy, University of Melbourne
  • Book: Bayesian Methods for Ecology
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511802454.011
Available formats
×