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A dynamic host selection model for mountain pine beetle, Dendroctonus ponderosae Hopkins

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  • Chubaty, Alex M.
  • Roitberg, Bernard D.
  • Li, Chao

Abstract

The link between individual habitat selection decisions (i.e., mechanism) and the resulting population distributions of dispersing organisms (i.e., outcome) has been little-studied in behavioural ecology. Here we consider density-dependent habitat (i.e., host) selection for an energy- and time-limited forager: the mountain pine beetle (Dendroctonus ponderosae Hopkins). We present a dynamic state variable model of individual beetle host selection behaviour, based on an individual’s energy state. Field data are incorporated into model parameterization which allows us to determine the effects of host availability (with respect to host size, quality, and vigour) on individuals’ decisions. Beetles choose larger trees with thicker phloem across a larger proportion of the state-space than smaller trees with thinner phloem, but accept lower quality trees more readily at low energy- and time-states. In addition, beetles make habitat selection decisions based on host availability, conspecific attack densities, and beetle distributions within a forest stand. This model provides a framework for the development of a spatial game model to examine the implications of these results for attack dynamics of beetle populations.

Suggested Citation

  • Chubaty, Alex M. & Roitberg, Bernard D. & Li, Chao, 2009. "A dynamic host selection model for mountain pine beetle, Dendroctonus ponderosae Hopkins," Ecological Modelling, Elsevier, vol. 220(9), pages 1241-1250.
    • Handle: RePEc:eee:ecomod:v:220:y:2009:i:9:p:1241-1250
    DOI: 10.1016/j.ecolmodel.2009.01.039
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    References listed on IDEAS

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    1. Charles, Sandrine & Subtil, Fabien & Kielbassa, Janice & Pont, Didier, 2008. "An individual-based model to describe a bullhead population dynamics including temperature variations," Ecological Modelling, Elsevier, vol. 215(4), pages 377-392.
    2. W. A. Kurz & C. C. Dymond & G. Stinson & G. J. Rampley & E. T. Neilson & A. L. Carroll & T. Ebata & L. Safranyik, 2008. "Mountain pine beetle and forest carbon feedback to climate change," Nature, Nature, vol. 452(7190), pages 987-990, April.
    3. Richard Bellman, 1957. "On a Dynamic Programming Approach to the Caterer Problem--I," Management Science, INFORMS, vol. 3(3), pages 270-278, April.
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    Cited by:

    1. Seidl, Rupert & Fernandes, Paulo M. & Fonseca, Teresa F. & Gillet, François & Jönsson, Anna Maria & Merganičová, Katarína & Netherer, Sigrid & Arpaci, Alexander & Bontemps, Jean-Daniel & Bugmann, Hara, 2011. "Modelling natural disturbances in forest ecosystems: a review," Ecological Modelling, Elsevier, vol. 222(4), pages 903-924.
    2. McLane, Adam J. & Semeniuk, Christina & McDermid, Gregory J. & Marceau, Danielle J., 2011. "The role of agent-based models in wildlife ecology and management," Ecological Modelling, Elsevier, vol. 222(8), pages 1544-1556.
    3. Kautz, Markus & Schopf, Reinhard & Imron, Muhammad Ali, 2014. "Individual traits as drivers of spatial dispersal and infestation patterns in a host–bark beetle system," Ecological Modelling, Elsevier, vol. 273(C), pages 264-276.
    4. Louis, Marceau & Toffin, Etienne & Gregoire, Jean-Claude & Deneubourg, Jean-Louis, 2016. "Modelling collective foraging in endemic bark beetle populations," Ecological Modelling, Elsevier, vol. 337(C), pages 188-199.
    5. Uchmański, Janusz, 2019. "Cyclic outbreaks of forest insects: A two-dimensional individual-based model," Theoretical Population Biology, Elsevier, vol. 128(C), pages 1-18.

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