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Interactions between interactions: predator-prey, parasite-host, and mutualistic interactions.

Anders Pape Møller1

  • 1Centre National de la Recherche Scientifique, Unité Mixte de Recherche 7103, Laboratoire de Parasitologie Evolutive, Université Pierre et Marie Curie, Paris, France. amoller@snv.jussieu.fr

Annals of the New York Academy of Sciences
|June 19, 2008
PubMed
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Ecological interactions are interconnected, with one interaction affecting others, leading to complex ecological and evolutionary outcomes. Studying these complex interactions is crucial for understanding coevolution and ecological dynamics.

Area of Science:

  • Ecology
  • Evolutionary Biology
  • Interaction Networks

Background:

  • Ecological interactions (predator-prey, host-parasite, mutualisms) are often studied in isolation.
  • This isolated approach overlooks how different interaction types influence each other.
  • These inter-dependencies can have significant ecological and evolutionary consequences.

Purpose of the Study:

  • To highlight the importance of studying interactions between different ecological interaction types.
  • To explain the ecological and evolutionary effects of these 'interactions among interactions'.
  • To discuss implications for ecological and evolutionary research and modeling.

Main Methods:

  • Conceptual analysis of existing ecological and evolutionary theory.
  • Review of examples demonstrating indirect effects between interaction types.

Related Experiment Videos

  • Discussion of the impact on coevolutionary dynamics and research methodologies.

    • Main Results:

    • Interactions between different ecological relationships (e.g., predation and parasitism) significantly impact ecological and evolutionary processes.
    • These complex interactions can alter host sexual selection, parasite virulence, and mutualistic relationships.
    • Simple coevolutionary models are insufficient due to the pervasive influence of multiple interacting factors.

    Conclusions:

    • Ecological interactions are rarely independent and form complex networks.
    • Understanding these 'interactions among interactions' is essential for accurate ecological and evolutionary predictions.
    • Future research and modeling must account for the interconnectedness of ecological relationships.