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Asynchronous and synchronous updating in individual-based models

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  • Caron-Lormier, Geoffrey
  • Humphry, Roger W.
  • Bohan, David A.
  • Hawes, Cathy
  • Thorbek, Pernille

Abstract

The use of mathematical and simulation models is widespread in ecology, and individual-based models (IBMs) have proved valuable for exploring individually-explicit interactions and behaviour. The success of a model will depend upon its design and the different assumptions made during construction. In particular, methods implemented in the model to deal with interactions between objects are of fundamental importance for producing appropriate results. Asynchronous and synchronous scheduling are two methods for updating object characteristics during interaction. The consequence of these updating methods has been investigated for cellular automata, but not for IBMs. Here, we assess the two methods for their potential to give different results in a deliberately simple IBM. We show that the two methods produce different results, particularly at high population densities and for increasing interaction complexity (e.g. increasing numbers of trophic levels). This work appears to be the first evidence of the importance of scheduling methods on emergent properties for individual-based models and consequently individually-explicit interactions and behaviour in ecology.

Suggested Citation

  • Caron-Lormier, Geoffrey & Humphry, Roger W. & Bohan, David A. & Hawes, Cathy & Thorbek, Pernille, 2008. "Asynchronous and synchronous updating in individual-based models," Ecological Modelling, Elsevier, vol. 212(3), pages 522-527.
    • Handle: RePEc:eee:ecomod:v:212:y:2008:i:3:p:522-527
    DOI: 10.1016/j.ecolmodel.2007.10.049
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    References listed on IDEAS

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    1. Mirabet, Vincent & Auger, Pierre & Lett, Christophe, 2007. "Spatial structures in simulations of animal grouping," Ecological Modelling, Elsevier, vol. 201(3), pages 468-476.
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    2. Ross Richardson & Matteo Richiardi & Michael Wolfson, 2015. "We ran one billion agents. Scaling in simulation models," Economics Papers 2015-W05, Economics Group, Nuffield College, University of Oxford.
    3. Guy Beauchamp & Peter Alexander & Roger Jovani, 2012. "Consistent waves of collective vigilance in groups using public information about predation risk," Behavioral Ecology, International Society for Behavioral Ecology, vol. 23(2), pages 368-374.
    4. Letort, Elodie & Dupraz, Pierre & Piet, Laurent, 2017. "The impact of environmental regulations on the farmland market and farm structures: An agent-based model applied to the Brittany region of France," Working Papers 253784, Institut National de la recherche Agronomique (INRA), Departement Sciences Sociales, Agriculture et Alimentation, Espace et Environnement (SAE2).
    5. James D. A. Millington & Hang Xiong & Steve Peterson & Jeremy Woods, 2017. "Integrating Modelling Approaches for Understanding Telecoupling: Global Food Trade and Local Land Use," Land, MDPI, vol. 6(3), pages 1-18, August.
    6. Mouissie, A. Maarten & Apol, M. Emile F. & Heil, Gerrit W. & van Diggelen, Rudy, 2008. "Creation and preservation of vegetation patterns by grazing," Ecological Modelling, Elsevier, vol. 218(1), pages 60-72.
    7. Gwizdałła, Tomasz M., 2015. "Some properties of the floor field cellular automata evacuation model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 419(C), pages 718-728.
    8. Mancy, Rebecca & Prosser, Patrick & Rogers, Simon, 2013. "Discrete and continuous time simulations of spatial ecological processes predict different final population sizes and interspecific competition outcomes," Ecological Modelling, Elsevier, vol. 259(C), pages 50-61.
    9. Caron-Lormier, Geoffrey & Bohan, David A. & Hawes, Cathy & Raybould, Alan & Haughton, Alison J. & Humphry, Roger W., 2009. "How might we model an ecosystem?," Ecological Modelling, Elsevier, vol. 220(17), pages 1935-1949.
    10. José Manuel Galán & Luis R. Izquierdo & Segismundo S. Izquierdo & José Ignacio Santos & Ricardo del Olmo & Adolfo López-Paredes & Bruce Edmonds, 2009. "Errors and Artefacts in Agent-Based Modelling," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(1), pages 1-1.
    11. Grimm, Volker & Berger, Uta & DeAngelis, Donald L. & Polhill, J. Gary & Giske, Jarl & Railsback, Steven F., 2010. "The ODD protocol: A review and first update," Ecological Modelling, Elsevier, vol. 221(23), pages 2760-2768.
    12. 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.
    13. Travers-Trolet, Morgane & Coppin, Franck & Cresson, Pierre & Cugier, Philippe & Oliveros-Ramos, Ricardo & Verley, Philippe, 2019. "Emergence of negative trophic level-size relationships from a size-based, individual-based multispecies fish model," Ecological Modelling, Elsevier, vol. 410(C), pages 1-1.

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