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Publication Detail
Predicting the Recovery of Biological Communities on the Seabed after Marine Aggregate Dredging
  • Publication Type:
  • Authors:
    Schinaia SA, Momiji H, Bishop SR, Simons R, Saunders J
  • Publisher:
    World Scientific
  • Publication date:
  • Place of publication:
  • Pagination:
    4537, 4548
  • Published proceedings:
    International Conference on Coastal Engineering
  • Volume:
  • Editors:
    Smith JM
  • Status:
  • Name of conference:
    31st International Conference on Coastal Engineering
  • Conference place:
    Hamburg, Germany
  • Conference start date:
  • Conference finish date:
  • Keywords:
    Cellular automata, seabed, dredging
31 Aug - 5 Sep 2008, Hamburg, Germany This paper describes the development of a mathematical model for predicting the recovery of the seabed and the associated ecological communities after marine aggregate dredging. The sediment dynamic model is based on a rule-based cellular automata technique rather than conventional process-based methods, and has been developed from an earlier model of aeolian sand transport. The biological model is driven by the sediment dynamic model and depicts the behaviour of five functional groups, i.e. groups of species sharing similar feeding behaviour and habitat. This model describes their response to physical and hydrodynamic conditions perturbed by the dredging process. Modelling results display the backfilling of a trench left after dredging is complete. They also demonstrate the modelling of benthic community dynamics and the long-term prediction of recovery of groups of species after major disturbances, such as dredging.
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