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
From prediction to action: Responding to rapid ecosystem shifts under climate change. Nobody knows exactly how climate change will affect the ecosystems on which we depend for our own existence, though negative impacts are widely predicted. This project integrates mathematical, economic and ecological approaches to learn about the most effective way to spend limited funds for sustaining ecosystems threatened by climate change.
A global-scale analysis of functional traits in the face of global change. This project uses a global collaboration to develop a novel method for determining the response of extremely diverse animal taxa to global change. The method focusses on morphological traits and their functions and will improve conservation efforts by predicting the types of ecological processes and species threatened.