An Agent-Based Modelling Approach to Biological Invasion by Macroalgae in European Coastal Environments

  • James T. MurphyEmail author
  • Mark P. Johnson
  • Frédérique Viard
Conference paper
Part of the Springer Proceedings in Complexity book series (SPCOM)


Introductions of species to new continents and oceans by human activities cause fundamental and irreversible changes to natural communities and ecosystems worldwide, resulting in systematic homogenization of biota at regional and global scales and substantial changes in ecosystem functioning. Seaweeds are major primary producers in coastal areas, and large-scale substitution of dominant native seaweeds with non-native species can consequently alter coastal productivity and food web structure, and therefore impact ecosystem services. In this study, an agent-based modelling approach is taken, in association with data already gathered by the host institution from field studies, ecological experiments and molecular work, to study the impact of the Asian kelp seaweed Undaria pinnatifida, introduced to Europe in the 1970s, on native biodiversity under variable climatic conditions. Our model framework can be used to explicitly represent complex spatial and temporal patterns of invasion in order to be able to predict quantitatively the impact of these factors on the invasion dynamics of U. pinnatifida. This would be a useful tool for making accurate risk assessments of invasion potential under different environmental conditions and for choosing optimal management strategies in order to minimise future control costs.


Juvenile Sporophyte Variable Climatic Condition Accurate Risk Assessment Major Primary Producer Gametophyte Stage 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This research is supported by an Irish Research Council ELEVATE international career development fellowship co-funded by Marie Curie Actions (European Unions Seventh Framework Programme).


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • James T. Murphy
    • 1
    • 2
    • 3
    Email author
  • Mark P. Johnson
    • 3
  • Frédérique Viard
    • 1
    • 2
  1. 1.Sorbonne Universités, UPMC Univ Paris 6, UMR 7144, Station Biologique de RoscoffRoscoffFrance
  2. 2.CNRS, UMR 7144, Equipe Div&Co, Station Biologique de RoscoffRoscoffFrance
  3. 3.Ryan Institute, National University of Ireland GalwayGalwayIreland

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