Transferability of biodiversity models in space

Conservation of biodiversity requires an understanding of distribution of biodiversity in space. However, data is often limited. Developing distribution models that can be transferred from one area, where data availability is good, to reliably predict in another area, where data is sparse, would be of great utility. However our understanding of how transferable models are and the factors that affect transferability is limited. This project will explore the transferability of models of biotic communities and how model transferability could be enhanced. The student will develop skills in spatial analysis, distribution modelling, and R, as well as having the chance to be involved in multiple international collaborations. Candidates should have a degree in Biology, Ecology, Environmental Science or similar. Candidates must also have good communication and quantitative skills. Candidates with degrees in quantitative subjects (maths, physics etc) and a demonstrable interest in environmental applications will also be considered.