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Spatial sensitivity of a generic population model, using wild boar (Sus scrofa) as a test case

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  • Holland, E.P.
  • Aegerter, J.N.
  • Smith, G.C.

Abstract

To develop a robust, generic approach to modelling uncertain processes that can be used in real landscapes, we constructed two spatial models. Both involved a sub-population model running simultaneously in parcels across a coverage, with movement into randomly chosen neighbours. An exploratory model investigated the dynamics of the sub-population process in a homogeneous (raster) landscape and explored how density dependence and movement interacted with spatial scale to affect model output. The second model applied the same sub-population dynamic across a spatially irregular, heterogeneous landscape based on UK habitat data. Wild boar (Sus scrofa) was chosen as a model species and the spread and abundance predicted by the applied model were compared with the limited field data suitable for this species in the UK.

Suggested Citation

  • Holland, E.P. & Aegerter, J.N. & Smith, G.C., 2007. "Spatial sensitivity of a generic population model, using wild boar (Sus scrofa) as a test case," Ecological Modelling, Elsevier, vol. 205(1), pages 146-158.
  • Handle: RePEc:eee:ecomod:v:205:y:2007:i:1:p:146-158
    DOI: 10.1016/j.ecolmodel.2007.02.026
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    References listed on IDEAS

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    1. Grant, Jon & Curran, Kristian J. & Guyondet, Thomas L. & Tita, Guglielmo & Bacher, Cédric & Koutitonsky, Vladimir & Dowd, Michael, 2007. "A box model of carrying capacity for suspended mussel aquaculture in Lagune de la Grande-Entrée, Iles-de-la-Madeleine, Québec," Ecological Modelling, Elsevier, vol. 200(1), pages 193-206.
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    Cited by:

    1. Holland, E.P. & Burrow, J.F. & Dytham, C. & Aegerter, J.N., 2009. "Modelling with uncertainty: Introducing a probabilistic framework to predict animal population dynamics," Ecological Modelling, Elsevier, vol. 220(9), pages 1203-1217.
    2. E Penelope Holland & James N Aegerter & Calvin Dytham & Graham C Smith, 2007. "Landscape as a Model: The Importance of Geometry," PLOS Computational Biology, Public Library of Science, vol. 3(10), pages 1-14, October.

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