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Exploring community assembly through an individual-based model for trophic interactions

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  • Giacomini, Henrique Corrêa
  • De Marco, Paulo
  • Petrere, Miguel

Abstract

Traditionally, the dynamics of community assembly has been analyzed by means of deterministic models of differential equations. Despite the theoretical advances provided by such models, they are restricted to questions about community-wide features. The individual-based modeling offers an opportunity to link bionomic features to patterns at the community scale, allowing us to understand how trait-based assembly rules can arise by dynamical processes. The present paper introduces an individual-based model of community assembly, and discusses some of the major advantages and drawbacks of this approach. The model was framed to deal with predation among size-structured populations, incorporating allometric constraints to energetic requirements, movement, life-history features and interaction relationships among individuals. A protocol of assembly procedure is proposed, in which a period of intense species introductions is followed by a period without introductions. The resultant communities did not present any pattern of trait over-dispersion, meaning that the multivariate distances of bionomic features among co-occurring species were neither larger nor more regular than expected in a random collection of species. It suggests a weak influence of interspecific interactions in the model environment and individualistic rules of coexistence, driven mainly by the spatial structure. This highlights that trait over-dispersion and resource partitioning should not be considered a necessary condition for coexistence, even in communities entirely structured by internal processes like predation and competition.

Suggested Citation

  • Giacomini, Henrique Corrêa & De Marco, Paulo & Petrere, Miguel, 2009. "Exploring community assembly through an individual-based model for trophic interactions," Ecological Modelling, Elsevier, vol. 220(1), pages 23-39.
    • Handle: RePEc:eee:ecomod:v:220:y:2009:i:1:p:23-39
    DOI: 10.1016/j.ecolmodel.2008.09.005
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    References listed on IDEAS

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    1. E. L. Berlow, 1999. "Strong effects of weak interactions in ecological communities," Nature, Nature, vol. 398(6725), pages 330-334, March.
    2. Charlotte K. Hemelrijk & Hanspeter Kunz, 2005. "Density distribution and size sorting in fish schools: an individual-based model," Behavioral Ecology, International Society for Behavioral Ecology, vol. 16(1), pages 178-187, January.
    3. Richard J. Williams & Neo D. Martinez, 2000. "Simple rules yield complex food webs," Nature, Nature, vol. 404(6774), pages 180-183, March.
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    Cited by:

    1. 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.
    2. Grimm, Volker & Berger, Uta, 2016. "Structural realism, emergence, and predictions in next-generation ecological modelling: Synthesis from a special issue," Ecological Modelling, Elsevier, vol. 326(C), pages 177-187.
    3. Giacomini, Henrique C. & DeAngelis, Donald L. & Trexler, Joel C. & Petrere, Miguel, 2013. "Trait contributions to fish community assembly emerge from trophic interactions in an individual-based model," Ecological Modelling, Elsevier, vol. 251(C), pages 32-43.
    4. 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).
    5. Jager, Henriette I. & DeAngelis, Donald L., 2018. "The confluences of ideas leading to, and the flow of ideas emerging from, individual-based modeling of riverine fishes," Ecological Modelling, Elsevier, vol. 384(C), pages 341-352.

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