Integrating theory and data to model evolution under a changing climate. This project aims to develop an innovative approach that integrates diverse data sources, from genetic sequences to geographic distributions, to improve inference of evolutionary dynamics. This will provide a powerful and efficient new method for understanding species’ responses to climate change, demonstrated by inferring past, current and future climate adaptability in a diverse and ecologically important Australian plant ....Integrating theory and data to model evolution under a changing climate. This project aims to develop an innovative approach that integrates diverse data sources, from genetic sequences to geographic distributions, to improve inference of evolutionary dynamics. This will provide a powerful and efficient new method for understanding species’ responses to climate change, demonstrated by inferring past, current and future climate adaptability in a diverse and ecologically important Australian plant family. Expected outcomes include enrichment of evolutionary theory and software tools to assess species' vulnerability to climate change. These outcomes will bring significant benefits to improve knowledge and protection of Australian biota and maximise returns on Australia's investment in biodiversity databases.Read moreRead less
Global integration of microbial community and climate data. Microbial communities in the environment control the cycling of carbon and nutrients on Earth, but climate models do not directly incorporate microbial inputs. This interdisciplinary project will link planetary-scale climate modelling data with novel large-scale microbial community analysis, using climate information to provide insight into the fantastic diversity of microbial processes on our planet. The interdisciplinary approach will ....Global integration of microbial community and climate data. Microbial communities in the environment control the cycling of carbon and nutrients on Earth, but climate models do not directly incorporate microbial inputs. This interdisciplinary project will link planetary-scale climate modelling data with novel large-scale microbial community analysis, using climate information to provide insight into the fantastic diversity of microbial processes on our planet. The interdisciplinary approach will inform the next generation of climate models and better predict our future climate’s feedbacks. Conversely, it will make progress on the grand challenge of understanding microbial community function by enabling microbial ecology to be treated as a data-intensive machine learning problem.Read moreRead less