Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/126535
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dc.contributor.advisorBean, Nigel-
dc.contributor.advisorNguyen, Giang-
dc.contributor.authorWurm, Max Sinclair-
dc.date.issued2020-
dc.identifier.urihttp://hdl.handle.net/2440/126535-
dc.description.abstractThe Great Barrier Reef is the largest coral reef system on earth, but is threatened by the phenomenon of coral bleaching. We create a stochastic fluid flow model for coral bleaching, with the aim of better understanding its underlying mechanisms. Analysing this model involves the inversion of Laplace-Stieltjes transforms, a process ripe with difficulties. A recently developed method for Laplace transform inversion, called the Concentrated Matrix Exponential method, is very effective in overcoming these difficulties. Proceeding our analysis, we explore the concept of Parisian ruin to improve the biological realism of the model, which inspires a novel modelling framework for the problem. This framework includes an explicit energy process for the coral, and takes into account the traits of different algal species. We find that under our model, corals can benefit from hosting the two most prevalent algal species on the Great Barrier Reef, as opposed to only one species.en
dc.language.isoenen
dc.subjectStochastic modellingen
dc.subjectMarkovian fluid modelen
dc.subjectLaplace transform inversionen
dc.subjectcoral-algal symbiosisen
dc.subjectGreat Barrier Reefen
dc.titleStochastic Modelling of Coral-Algal Symbiosis on the Great Barrier Reefen
dc.typeThesisen
dc.contributor.schoolSchool of Mathematical Sciencesen
dc.provenanceThis electronic version is made publicly available by the University of Adelaide in accordance with its open access policy for student theses. Copyright in this thesis remains with the author. This thesis may incorporate third party material which has been used by the author pursuant to Fair Dealing exceptions. If you are the owner of any included third party copyright material you wish to be removed from this electronic version, please complete the take down form located at: http://www.adelaide.edu.au/legalsen
dc.description.dissertationThesis (MPhil) -- University of Adelaide, School of Mathematical Sciences, 2020en
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