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Correlation, selection and the evolution of species networks

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  • Laird, Simon
  • Jensen, Henrik Jeldtoft

Abstract

We use a generalised version of the individual-based Tangled Nature model of evolutionary ecology to study the relationship between ecosystem structure and evolutionary history. Our evolved model ecosystems typically exhibit interaction networks with exponential degree distributions and an inverse dependence between connectance and species richness. We use a simplified network evolution model to demonstrate that the observed degree distributions can occur as a consequence of partial correlations in the inheritance process. Further to this, in the limit of low connectance and maximal correlation, distributions of power-law form, P(k)∝1/k, can be achieved. We also show that a hyperbolic relationship between connectance and species richness, C∼1/D can arise as a consequence of probabilistic constraints on the evolutionary search process.

Suggested Citation

  • Laird, Simon & Jensen, Henrik Jeldtoft, 2007. "Correlation, selection and the evolution of species networks," Ecological Modelling, Elsevier, vol. 209(2), pages 149-156.
    • Handle: RePEc:eee:ecomod:v:209:y:2007:i:2:p:149-156
    DOI: 10.1016/j.ecolmodel.2007.06.016
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    Cited by:

    1. Swanack, Todd M. & Grant, William E. & Fath, Brian D., 2008. "On the use of multi-species NK models to explore ecosystem development," Ecological Modelling, Elsevier, vol. 218(3), pages 367-374.
    2. Robalino, Juan David & Jensen, Henrik Jeldtoft, 2013. "Entangled economy: An ecosystems approach to modeling systemic level dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(4), pages 773-784.
    3. Arthur, R. & Sibani, P., 2017. "Decision making on fitness landscapes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 696-704.

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