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Home range dynamics and population regulation: An individual-based model of the common shrew Sorex araneus

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  • Wang, Magnus
  • Grimm, Volker

Abstract

Many territorial animals show marked home range dynamics. Depending on food resources and the presence of other individuals, the size, shape and location of home ranges can change even on short time scales. Home range dynamics are thus likely to be an important aspect of population regulation. Most existing models, however, assume static home ranges. We therefore present an individual-based model that describes home range dynamics on a daily time scale. As an example organism, we focus on the common shrew (Sorex araneus), which shows a marked territorial behaviour. The proximate purpose of the model is to capture the relation between home range dynamics and population dynamics. The ultimate purpose is to develop a model that can be used for predicting effects of changes in agricultural practice and pesticide risk assessment. In the model, home ranges are represented by a number of cells in a landscape which are used by a particular individual. They are constantly adapted in order to provide sufficient food resources for an animal. When home ranges do not provide sufficient resources, animals disperse. The model is able to reproduce site fidelity of individuals, habitat preference, and dispersal. Population densities in a mixed habitat structure resulted in densities approximately equal to those reported from field studies. It is shown that home range size and dispersal are density-dependent and therefore likely to have a strong effect on regulation. We conclude (1) that the basic design of our model is also applicable for other species showing a marked home range behaviour, and (2) that a realistic representation of population regulation might require explicit modelling of home range behaviour.

Suggested Citation

  • Wang, Magnus & Grimm, Volker, 2007. "Home range dynamics and population regulation: An individual-based model of the common shrew Sorex araneus," Ecological Modelling, Elsevier, vol. 205(3), pages 397-409.
    • Handle: RePEc:eee:ecomod:v:205:y:2007:i:3:p:397-409
    DOI: 10.1016/j.ecolmodel.2007.03.003
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    Citations

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    Cited by:

    1. Imron, Muhammad Ali & Gergs, Andre & Berger, Uta, 2012. "Structure and sensitivity analysis of individual-based predator–prey models," Reliability Engineering and System Safety, Elsevier, vol. 107(C), pages 71-81.
    2. Reynolds-Hogland, Melissa J. & Hogland, John S. & Mitchell, Michael S., 2008. "Evaluating intercepts from demographic models to understand resource limitation and resource thresholds," Ecological Modelling, Elsevier, vol. 211(3), pages 424-432.
    3. Byer, Nathan W. & Reid, Brendan N., 2022. "The emergence of imperfect philopatry and fidelity in spatially and temporally heterogeneous environments," Ecological Modelling, Elsevier, vol. 468(C).
    4. Tyre, Andrew & Kerr, Gregory D. & Tenhumberg, Brigitte & Bull, C. Michael, 2007. "Identifying mechanistic models of spatial behaviour using pattern-based modelling: An example from lizard home ranges," Ecological Modelling, Elsevier, vol. 208(2), pages 307-316.
    5. Ashauer, Roman, 2010. "Toxicokinetic–toxicodynamic modelling in an individual based context—Consequences of parameter variability," Ecological Modelling, Elsevier, vol. 221(9), pages 1325-1328.
    6. Malishev, Matthew & Kramer-Schadt, Stephanie, 2021. "Movement, models, and metabolism: Individual-based energy budget models as next-generation extensions for predicting animal movement outcomes across scales," Ecological Modelling, Elsevier, vol. 441(C).
    7. 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.
    8. Carter, Neil & Levin, Simon & Barlow, Adam & Grimm, Volker, 2015. "Modeling tiger population and territory dynamics using an agent-based approach," Ecological Modelling, Elsevier, vol. 312(C), pages 347-362.
    9. Liu, Chun & Sibly, Richard M. & Grimm, Volker & Thorbek, Pernille, 2013. "Linking pesticide exposure and spatial dynamics: An individual-based model of wood mouse (Apodemus sylvaticus) populations in agricultural landscapes," Ecological Modelling, Elsevier, vol. 248(C), pages 92-102.
    10. Liu, Chun & Bednarska, Agnieszka J. & Sibly, Richard M. & Murfitt, Roger C. & Edwards, Peter & Thorbek, Pernille, 2014. "Incorporating toxicokinetics into an individual-based model for more realistic pesticide exposure estimates: A case study of the wood mouse," Ecological Modelling, Elsevier, vol. 280(C), pages 30-39.

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