Bayesian networks for complex environmental systems

Project summary

Marine mucilage, also known as ‘sea snot’, is a worldwide phenomenon which results of an aggregation of viscous organic matter that could lead to environmental and economical issues. For example, the fishing nets can be clogged by marine mucilage causing a decreasing in catches and so a drop in sales. It’s therefore interesting to be able to predict marine mucilage occurrences. But, as often in ecology, there is limited data available and it is necessary to combine multiple sources of data to describe a system as complex as mucilage appearance. Our two research objectives stem from this challenge:

Methodological objective: to examine how to combine information from different data sources and characterise their uncertainty

Applied objective: to predict the occurrence of marine mucilage to support decision makers, especially fishermen, in terms of the risk of encountering marine mucilage.

Project team

  • Dr Paul Wu, QUT
  • Dr Benoit Liquet, QUT
  • Dr Claire Kermorvant,Université de Pau et des Pays de l’Adour
  • Bastien Mourguiart, PhD Student,Université de Pau et des Pays de l’Adour
  • Distinguished Professor Kerrie Mengersen, QUT