Understanding the robustness and plasticity of metabolite concentrations. This project aims to further the understanding of how organisms mitigate the effects of changing environment by altering metabolite concentrations, important for food quality, energetics, and health. Through this understanding, the project provides the potential to precisely tailor metabolic intervention strategies, highly beneficial for applied sciences. The expected outcome of the project is a suite of computational appr ....Understanding the robustness and plasticity of metabolite concentrations. This project aims to further the understanding of how organisms mitigate the effects of changing environment by altering metabolite concentrations, important for food quality, energetics, and health. Through this understanding, the project provides the potential to precisely tailor metabolic intervention strategies, highly beneficial for applied sciences. The expected outcome of the project is a suite of computational approaches that allow for integration of large-scale data with networks to predict metabolite concentration ranges. This will provide significant benefit with the aim of maintaining outstanding research in Australia, and has clear potential for improved human health and enhanced food quality via metabolic reprogramming.Read moreRead less
Improving predictions of species distribution dynamics. This project aims to mainstream methods for improved prediction of species distributions under the impacts of environmental change. This is important because these predictions are commonly used to guide environmental decisions, but the standard modelling methods used to produce them have critical limitations. This project intends to (i) make key statistical developments to methods for modelling dynamics of species distributions and (ii) tra ....Improving predictions of species distribution dynamics. This project aims to mainstream methods for improved prediction of species distributions under the impacts of environmental change. This is important because these predictions are commonly used to guide environmental decisions, but the standard modelling methods used to produce them have critical limitations. This project intends to (i) make key statistical developments to methods for modelling dynamics of species distributions and (ii) translate the methods into practice, through guidelines, tools and training, engagement with users and case studies addressing species of current concern. This should provide significant benefits because it will enable better decisions and more effective and cost-efficient management actions.Read moreRead less