Reconstructing the evolution of climatic tolerances in conifers. This project aims to trace the evolution of climate tolerance in conifers by combining evidence from fossils, phylogenies, physiology and mathematics. The project plans to use innovative methods to overcome the biases in methods currently used to trace evolutionary change. The project plans to integrate data from three sources: the global fossil record, new models of current climatic tolerances of conifers, and mathematical simulat ....Reconstructing the evolution of climatic tolerances in conifers. This project aims to trace the evolution of climate tolerance in conifers by combining evidence from fossils, phylogenies, physiology and mathematics. The project plans to use innovative methods to overcome the biases in methods currently used to trace evolutionary change. The project plans to integrate data from three sources: the global fossil record, new models of current climatic tolerances of conifers, and mathematical simulations of how and when methods of reconstructing ancestral ecology fail. The combined results should show how this important group of organisms has responded to past climate change and how they will respond in the future. It should also provide improved estimates of past terrestrial climates.Read moreRead less
Meta-modelling of ecological, evolutionary and climatic systems dynamics. This project aims to improve forecasts of the response of biodiversity to future climate change and so improve on-ground conservation management. Using dynamic systems modelling, tested against field data from a wide variety of case studies, the project models will integrate a variety of biological and geophysical inputs to produce more realistic forecasts of change.
Systems modelling for synergistic ecological-climate dynamics. The project aims to improve forecasts of the response of biodiversity to future climate change and so improve on-ground conservation management. A systems modelling framework will be developed and tested against real-world data to integrate a wide variety of biological and geophysical inputs and so produce more realistic predictions.
Generalised methods for testing extinction dynamics across geological, near and modern time scales. The record of extinctions over deep time is patchy and incomplete, yet we must use it to determine how major changes in past environments have shaped life on Earth today. The project will develop cutting-edge mathematical tools to determine the patterns of extinctions and speciation over geological time to help predict our uncertain environmental future.