New approaches to predictive modelling of high-dimensional count data to study climate impacts on ecological communities. This project will lay methodological foundations for future studies of potential impacts of climate change on ecological communities. A flexible new toolset of predictive modelling approaches will be developed, capable of handling all common data types, which fit easy-to-interpret models, and which are more powerful than currently used methods.
Innovative approaches to identifying regional responses of biodiversity to climate change. Australia is facing a biodiversity extinction crisis that is likely to be exacerbated by climate change. Existing models of climate at regional scales require significant advancement, not only to better understand impacts on biodiversity, but also to assist with decision making and adaptation strategies. The project will produce innovative and robust climate maps that are at a scale that is relevant for re ....Innovative approaches to identifying regional responses of biodiversity to climate change. Australia is facing a biodiversity extinction crisis that is likely to be exacerbated by climate change. Existing models of climate at regional scales require significant advancement, not only to better understand impacts on biodiversity, but also to assist with decision making and adaptation strategies. The project will produce innovative and robust climate maps that are at a scale that is relevant for regional management, enabling predictions of how management actions interact with climate change to affect climate and biodiversity. The project will innovatively identify climate refugia and quantify the effectiveness of existing processes of conservation decision making, whilst engaging the community in climate science and providing considerable scientific training.Read moreRead less
Advancing tools for the analysis of high-dimensional data in ecology. This project will accelerate the development of advanced tools for answering fundamental questions concerning the potential impact of climate change on ecological communities. These advanced methodologies, more powerful than currently used methods, will fit easy-to-interpret models which can handle all common data types.