|2009 -||Senior lecturer in mathematical ecology||Departments of Biology and Mathematics, University of York|
|2001 - 2008||Lecturer in mathematical ecology||Departments of Biology and Mathematics, University of York|
|1999 - 2000||Postdoc in population dynamics||Department of Applied Mathematics, University of Leeds|
|1997 - 1998||Postdoc in computer-aided learning||School of Mathematics, University of Leeds|
|1993 - 1997||PhD Applied Mathematics||School of Mathematics, University of Leeds|
|1989 - 1992||BSc Mathematics||University of Nottingham|
The living world is an uncertain place. We have an innate tendency to hope these random fluctuations will magically average out, letting us arrive at a simple deterministic understanding. I am interested in situations where this doesn’t work. I use simple mathematical models and clever collaborators, applying methods from dynamical systems and stochastic processes together with computer simulations.
Current interests include: individual-based models (IBMS) of growth, competition and foraging in marine and terrestrial systems; marine reserves and evolutionary fisheries management; evolution under uncertainty; plankton dynamics; terrestrial carbon dynamics in complex food webs; epidemiology; group movement; wind farms and dead birds; kitchen sinks.
Getting lucky can be better than being good.
|Post doctoral fellow
||Dr Mark Preston
||Stochastic models of foraging and evolution in complex environments|
||End-to-end models for marine ecosystems and fisheries dynamics|
||Individual-based models of stock assessment and fisheries management: quantifying the importance of space and uncertainty in ecosystem based approaches (with Dr C. Dytham and Dr D. Righton (CEFAS))|
||Levy processes and population dynamics applied to fish and fisheries (with Dr J. Horwood, CEFAS)|
||Stochastic differential equation models of plant growth and competition (with Dr A. Hodge)|
|Research student||Simon Croft||Modelling bird flocks and collisions with wind turbines (with Dr A. J. Wood (York) and R. Budgey (FERA))|
Nonlinear and stochastic dynamics in marine ecosystems (for 2012 - 13)
This is a broad, and wonderful, subject area of great global importance. Project details will depend on the interests and skills and the candidate, and on links to other research within the group and with external collaborators. Methods may include theory from nonlinear dynamical systems, stochastic calculus, and statistics, with the ecological processes ranging from the growth and death of individual organisms to the structure and stability of complex ecosystems.
Preston, M.D., JWP, Wood, A.J. Evolutionary Optimality in Stochastic
Search Problems. Journal of the Royal Society Interface (published
online March 2010).
Gaal, B., JWP, Wood, A.J. Exact results for the evolution of stochastic switching in variable asymmetric environments. Genetics, 184, 2010, 1113-1119.
James, A., JWP, Plank, M.J. Efficient or Inaccurate? Analytical and Numerical Modelling of Random Search Strategies. Bulletin of Mathematical Biology 72, 2010, 896-913.
Miethe, T., Dytham, C., Dieckmann, U., JWP. Marine reserves and the evolutionary effects of fishing on size at maturation. ICES Journal of Marine Science 67, 2010, 412-425.