Decision Support In Wildlife & The Environment

Key to making good decisions about the management of wildlife is understanding the interface between wildlife and the landscape within which they live. Our interest in this area is to further understanding of this interface and the implications management actions may have. Data in this area inherently have spatial and temporal heterogeneity and in many cases are non - normal, multivariate or zero-inflated. We adopt a variety of innovative methods, including Bayesian Techniques, Neural Networks and Structural Equation Models, to investigate system processes and to help decision makers by incorporating uncertainty and scenario building into models.

Recent work areas have included management of invasive species, incorporating stakeholder knowledge into models and examining management implications on natural populations. We work with Government agencies, policy makers and environmental and wildlife managers such as The Environment Agency and Fera.  


Current Projects


Assessing the impacts of the New Tyne Crossing by modelling the dynamics of fish populations and levels of exploitation of migratory salmonids in the river Tyne.

Spatial Temporal Analysis of the invasion and eradication of the Ruddy Duck in the UK.

Responding to fish extirpations in the global marine biodiversity epicentre

The spatial and social dynamics of the Natterer’s bat in an agricultural landscape.


Recent Projects

Sustainable Cultivation of Productive Environments (SCoPE)


Related Papers