Te Tari Pāngarau me te Tatauranga
Department of Mathematics & Statistics
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Dr Peter Dillingham

Office: Science III, room 516
Phone: 479-5971

Research Interests

Visit my homepage for details and for potential PhD, MS, and Honours projects. Briefly, my interests fall into four broad categories:

  • Population modelling of seabirds, sharks, and other marine megafauna: parameter estimation, demographic modelling, and management implications
  • Our changing ocean: experimental design to measure consequences of global climate change on marine organisms
  • Modelling chemical sensors: development of analytical methods for chemical sensors and sensor arrays
  • Model uncertainty and misspecification: model averaging and post hoc adjustments for the construction of improved confidence intervals

Recent Publications

  • Schaerf, T. M., Dillingham, P. W., & Ward, A. J. W. (2017). The effects of external cues on individual and collective behavior of shoaling fish. Science Advances, 3, e1603201. doi: 10.1126/sciadv.1603201
  • Dillingham, P. W., Boyd, P. W., Hurd, C. L., Cornwall, C. E., & McGraw, C. M. (2017). The collapsed factorial: A small-factor experimental design for multi-stressor ocean acidification experiments. Proceedings of the 10th New Zealand Ocean Acidification Workshop. (pp. 15). Retrieved from
  • McGraw, C. M., Dillon, W. D. N., Doyle, H. L., Dillingham, P. W., Lye, P. G., Boyd, P. W., & Hurd, C. L. (2017). A multi-sensor system to monitor marine variability associated with global climate change. Proceedings of the 10th New Zealand Ocean Acidification Workshop. (pp. 23). Retrieved from
  • James, K. C., Lewison, R. L., Dillingham, P. W., Curtis, K. A., & Moore, J. E. (2016). Drivers of retention and discards of elasmobranch non-target catch. Environmental Conservation, 43(1), 3-12. doi: 10.1017/S0376892915000168
  • Dillingham, P. W., Moore, J. E., Fletcher, D., Cortés, E., Curtis, K. A., James, K. C., & Lewison, R. L. (2016). Improved estimation of intrinsic growth rmax for long-lived species: Integrating matrix models and allometry. Ecological Applications, 26(1), 322-333. doi: 10.1890/14-1990