Computational Ecology


Research in computational ecology combines quantitative methods with data to model and describe population and community dynamics in time and space.  Methods range from statistical modelling of diversity and heterogeneity to the development of dynamic models using analytical or simulation-based approaches.  These tools can be used to predict the effect of natural or human-caused disturbances on species and ecosystems or to predict the spatial spread of an invasive species across a landscape, for example.  This theme reflects the strong links in BRAES between the mathematical and ecological sciences, leading to development of innovative methods in environmental modelling and data analysis.