New statistical approaches for analysing foodwebs and species distributions

确定物种如何在景观中分布、相互作用和自组织成食物网是生态学的中心目标。该项目旨在提供创新的新贝叶斯建模工具，以提高我们对物种分布及其食物网网络的理解。期望开发一个扩展物种分布模型的一般框架，以处理多物种，包括它们的相互作用和检测误差。该项目还希望开发一种强大的贝叶斯方法，将复杂的食物网划分为生态相关的隔间，因为目前没有可靠的方法来实现这一点。这两个项目都与保护政策和濒危物种的管理有关。

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.