Michael Plank

ProfessorMichael Plank

Jack Erskine 614
Internal Phone: 92462

Qualifications & Memberships

Research Interests

My research is in mathematical modelling, particularly in ecology and physiology. The motivation for this research comes from real-world problems and the emphasis is on qualitative mathematical models that capture the essential behaviour of a particular phenomenon. I have research interests in a variety of applications: ecology and exploitation of fish communities; collective cell behaviour; complex ecological networks; invasive species; epidemiology; animal movement; neurovascular coupling. Some of the tools I use in my research include stochastic processes, integro and partial differential equations, dynamical systems, spatial moment dynamics, statistical modelling, and parameter inference.

Recent Publications

  • Barrett-Walker T., Plank MJ., Ka'ai-Mahuta R., Hikuroa D. and James A. (2020) Kia kaua te reo e rite ki te moa, ka ngaro: Do not let the language suffer the same fate as the Moa. Journal of the Royal Society Interface 17(162) http://dx.doi.org/10.1098/rsif.2019.0526.
  • Binny RN., Law R. and Plank MJ. (2020) Living in groups: Spatial-moment dynamics with neighbour-biased movements. Ecological Modelling 415 http://dx.doi.org/10.1016/j.ecolmodel.2019.108825.
  • Burgess MG. and Plank MJ. (2020) What unmanaged fishing patterns reveal about optimal management: applied to the balanced harvesting debate. ICES Journal of Marine Science http://dx.doi.org/10.1093/icesjms/fsaa012.
  • Edwards AM., Robinson JPW., Blanchard JL., Baum JK. and Plank MJ. (2020) Accounting for the bin structure of data removes bias when fitting size spectra. Marine Ecology Progress Series 636: 19-33. http://dx.doi.org/10.3354/meps13230.
  • Plank MJ. (2020) Asymptotic expansion approximation for spatial structure arising from directionally biased movement. Physica A: Statistical Mechanics and its Applications 541 http://dx.doi.org/10.1016/j.physa.2019.123290.