Integrating niches, interactions and dispersal in species distribution models. This proposal aims to develop a framework for statistical modelling that integrates across spatial scales and disentangles the processes of environmental tolerance, biotic interactions and dispersal. Understanding the processes that drive species distributions and ecological communities is central to ecology and environmental management. This knowledge can be used to anticipate the impacts of environmental change on e ....Integrating niches, interactions and dispersal in species distribution models. This proposal aims to develop a framework for statistical modelling that integrates across spatial scales and disentangles the processes of environmental tolerance, biotic interactions and dispersal. Understanding the processes that drive species distributions and ecological communities is central to ecology and environmental management. This knowledge can be used to anticipate the impacts of environmental change on ecosystems, and the likely benefits of interventions. Current statistical models limit the data that can be used and the ecological questions that can be answered. This project expects to improve our ability to predict species distributions under changed environments given interacting species and dispersal across the landscape.Read moreRead less
New statistical approaches for analysing foodwebs and species distributions. Identifying how species are distributed over the landscape, interact and self-organise into foodwebs are central goals in Ecology. This project aims to provide innovative new Bayesian modelling tools to improve our understanding of species distributions and their foodweb networks. It is expected to develop a general framework for extending species distribution models to deal with multiple species, incorporating both the ....New statistical approaches for analysing foodwebs and species distributions. Identifying how species are distributed over the landscape, interact and self-organise into foodwebs are central goals in Ecology. This project aims to provide innovative new Bayesian modelling tools to improve our understanding of species distributions and their foodweb networks. It is expected to develop a general framework for extending species distribution models to deal with multiple species, incorporating both their interactions as well as errors in detection. The project also hopes to develop a robust Bayesian methodology for partitioning complex foodweb networks into ecologically relevant compartments as there are currently no reliable methods to achieve this. Both projects are of relevance to conservation policy and management of threatened species.Read moreRead less