Nature futures: mapping pathways to prosperity for people and nature. Population growth, consumption and trade are direct socio-economic drivers of land use change and climate change, which determine where species can persist. The UN Sustainable Development Goals and national policies acknowledge the dependence of people on nature and the impact of socio-economic drivers on nature. However, few analyses of impacts on nature explicitly incorporate socio-economic drivers. Utilising a novel modelli ....Nature futures: mapping pathways to prosperity for people and nature. Population growth, consumption and trade are direct socio-economic drivers of land use change and climate change, which determine where species can persist. The UN Sustainable Development Goals and national policies acknowledge the dependence of people on nature and the impact of socio-economic drivers on nature. However, few analyses of impacts on nature explicitly incorporate socio-economic drivers. Utilising a novel modelling framework and high-performance computing we will integrate economic, land use and biodiversity models to evaluate: (i) policies and incentives for increasing national vegetation cover for carbon sequestration and habitat, and (ii) global risks to nature posed by land use change under future geopolitical scenarios.Read moreRead less
Predicting the value and use of urban land. This project aims to develop a comprehensive, robust and user-friendly set of modelling tools to predict land values more accurately. Accurate predictions of land values reduce state government revenue risks and improve resource management. The expected outcome of this project is the development of modelling tools which, can be used to study land use allocation, infrastructure delivery and government taxation revenue. This should provide significant be ....Predicting the value and use of urban land. This project aims to develop a comprehensive, robust and user-friendly set of modelling tools to predict land values more accurately. Accurate predictions of land values reduce state government revenue risks and improve resource management. The expected outcome of this project is the development of modelling tools which, can be used to study land use allocation, infrastructure delivery and government taxation revenue. This should provide significant benefits such as the development of new econometric theory, advanced computational methods and evidence-based guidelines for policymakers.Read moreRead less