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Dispersal connectivity and reserve selection for marine conservation

Author

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  • Kininmonth, Stuart
  • Beger, Maria
  • Bode, Michael
  • Peterson, Eric
  • Adams, Vanessa M.
  • Dorfman, Dan
  • Brumbaugh, Daniel R.
  • Possingham, Hugh P.

Abstract

Although larval dispersal is crucial for the persistence of most marine populations, dispersal connectivity between sites is rarely considered in designing marine protected area networks. In particular the role of structural characteristics (known as topology) for the network of larval dispersal routes in the conservation of metapopulations has not been addressed. To determine reserve site configurations that provide highest persistence values with respect to their connectivity characteristics, we model nine connectivity topological models derived from graph theory in a demographic metapopulation model. We identify reserve site configurations that provide the highest persistence values for each of the metapopulation connectivity models. Except for the minimally connected and fully connected populations, we observed two general ‘rules of thumb’ for optimising the mean life time for all topological models: firstly place the majority of reserves, so that they are neighbours of each other, on the sites where the number of connections between the populations is highest (hub), secondly when the reserves have occupied the majority of the vertices in the hub, then select another area of high connectivity and repeat. If there are no suitable hubs remaining then distribute the remaining reserves to isolated locations optimising contact with non-reserved sites.

Suggested Citation

  • Kininmonth, Stuart & Beger, Maria & Bode, Michael & Peterson, Eric & Adams, Vanessa M. & Dorfman, Dan & Brumbaugh, Daniel R. & Possingham, Hugh P., 2011. "Dispersal connectivity and reserve selection for marine conservation," Ecological Modelling, Elsevier, vol. 222(7), pages 1272-1282.
    • Handle: RePEc:eee:ecomod:v:222:y:2011:i:7:p:1272-1282
    DOI: 10.1016/j.ecolmodel.2011.01.012
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    References listed on IDEAS

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    1. G. P. Jones & M. J. Milicich & M. J. Emslie & C. Lunow, 1999. "Self-recruitment in a coral reef fish population," Nature, Nature, vol. 402(6763), pages 802-804, December.
    2. Bode, Michael & Burrage, Kevin & Possingham, Hugh P., 2008. "Using complex network metrics to predict the persistence of metapopulations with asymmetric connectivity patterns," Ecological Modelling, Elsevier, vol. 214(2), pages 201-209.
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    Cited by:

    1. Vuilleumier, Séverine & Possingham, Hugh P., 2012. "Interacting populations in heterogeneous environments," Ecological Modelling, Elsevier, vol. 228(C), pages 96-105.
    2. Alan A. Ager & Jeffrey D. Kline & A. Paige Fischer, 2015. "Coupling the Biophysical and Social Dimensions of Wildfire Risk to Improve Wildfire Mitigation Planning," Risk Analysis, John Wiley & Sons, vol. 35(8), pages 1393-1406, August.

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