The genomics of climate adaptation in eucalypts. This project aims to investigate validated, rapid and pragmatic solutions to managing plant and animal maladaptation caused by global environmental change. Using Australia’s iconic blue gum (Eucalyptus globulus), this project will test strategies for identifying the major climatic predictors of, and key genomic regions that underlie, adaptation to climate change. By integrating climate variables and genome sequences with field trial-derived trait ....The genomics of climate adaptation in eucalypts. This project aims to investigate validated, rapid and pragmatic solutions to managing plant and animal maladaptation caused by global environmental change. Using Australia’s iconic blue gum (Eucalyptus globulus), this project will test strategies for identifying the major climatic predictors of, and key genomic regions that underlie, adaptation to climate change. By integrating climate variables and genome sequences with field trial-derived trait and performance data from decades of research and thousands of trees, we will develop validated DNA-based tools for monitoring the rate of adaptation in our native forests and identifying climate-ready seed sources for environmental and industrial plantings.Read moreRead less
Detecting and deciphering extinction dynamics under environmental change. This project aims to improve knowledge of extinction processes and impacts. It will use high-performance computing and museum collections to disentangle the ecological mechanisms that were integral in the initial decline and later extinction of Australia's unique mammals. Its significance is that it will establish the historical ranges and past population trajectories of Australian threatened mammals, pinpointing the combi ....Detecting and deciphering extinction dynamics under environmental change. This project aims to improve knowledge of extinction processes and impacts. It will use high-performance computing and museum collections to disentangle the ecological mechanisms that were integral in the initial decline and later extinction of Australia's unique mammals. Its significance is that it will establish the historical ranges and past population trajectories of Australian threatened mammals, pinpointing the combinations of ecological characteristics and threats that most affect risk of extinction from environmental change. Expected outcomes and benefits are new data and verified models to enrich conservation research and inform evidence-based solutions to better protect and recover some of Australia’s most threatened species.Read moreRead less
Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire ....Physics-aware machine learning for data-driven fire risk prediction. The 2019/20 Australian fire season was unprecedented in its extent, impact, and the response of fire agencies. In this project, we aim to answer the question: was the scale of these fires driven by known drivers of fire (drought, weather, fuels and ignitions), or were fundamentally new undescribed processes and phenomena involved? We will accomplish this by developing an innovative, physics-aware machine learning model of fire risk and spread, trained and validated on a two-decade satellite fire record. The predictive ability of the model will be tested on the 2019/20 fire season to determine if novel drivers of fire can be identified, and the model itself will be operationalised into a novel short-to-mid term fire risk prediction tool. Read moreRead less