Jason is a quantitative ecologist who carries out diverse work on animal behavioural modelling, analytical population and metapopulation dynamics, demographic inference from sparse population data, spatial population dynamics, the statistical modelling of species distributions and the modelling of individual animal movement.
He is currently working to develop efficient statistical methods for linking the dynamics of populations with their spatial distribution and resource availability. His theoretical work aims to integrate traditional mathematical modelling with modern statistical inference (e.g. hierarchical models, state-space models, hidden Markov models). His applied work has focused on the trade-offs between wildlife conservation and human priorities (e.g. design of protected areas, environmental impact assessment, resource management compatible with conservation, and productivity/biodiversity trade-offs).
He has taught mathematical and statistical modelling to biologists for almost 20 years and has published a successful textbook on the subject.
As part of the LOMVIA project, Jason will work to connect data and model results on habitat composition and habitat use to the size and growth rates of guillemot colonies.