Tasmanide Geodynamics and Mineral Systems

Last updated: August 2026

About

The Tasmanides record more than 500 million years of plate reorganisation, volcanism, sedimentation, deformation, and mineral-system formation along the eastern margin of Australia. Their long geological history provides an exceptional setting in which to connect observations at Earth's surface with the evolving plate and mantle system beneath it.

This project forms part of the AUSTRALIS programme. It will integrate geological, geophysical, geochemical, and mineral-system data with plate reconstructions and time-dependent mantle-convection models. The aim is to identify the first-order geodynamic processes that influence mineral-system formation and preservation through deep time.

Image

This project will cross present-day and deep time, and cover the surface to deep interior, to build geodynamic models of the Tasmanides and surrounding regions. Shown are selected datasets and key topics covered.

Research questions

• How did plate reorganisation, subduction, volcanism, and mantle flow shape the evolving Tasmanides?
• Which geodynamic settings favoured mineral-system formation, and which preserved or disrupted those systems?
• How can reconstructions of the surface, lithosphere, and mantle be integrated into a coherent deep-time Earth model?

Methods and data

Projects can develop geological and geospatial databases, construct rigid and deformable plate reconstructions, run time-dependent mantle-convection models, and compare model predictions with geological maps, mineral-deposit ages, geophysics, and geochemistry. GPlates and G-ADOPT provide central computational frameworks.

Possible projects

Possible directions include compiling a Tasmanide data layer, reconstructing a tectonic interval, evaluating a mantle-convection model against geological constraints, or testing the relationship between tectonic changes and a class of mineral system.

Essential background

Useful preparation includes geology, geophysics, geochemistry, GIS, data science, physics, programming, or numerical modelling. The precise balance of field-informed data work and computation can be tailored to the student.