The failure-threshold of leaves in drought. This project aims to reveal how specific water-stress thresholds damage the leaves of Australian crop and forest species during drought. Water stress affects agricultural productivity and plant survival in drought-prone regions such as Australia. Using optical and X-ray techniques, this project seeks to visualise and quantify the dynamic processes of damage and repair in leaves under stress. Anticipated outputs include a practical basis to predict drou ....The failure-threshold of leaves in drought. This project aims to reveal how specific water-stress thresholds damage the leaves of Australian crop and forest species during drought. Water stress affects agricultural productivity and plant survival in drought-prone regions such as Australia. Using optical and X-ray techniques, this project seeks to visualise and quantify the dynamic processes of damage and repair in leaves under stress. Anticipated outputs include a practical basis to predict drought-induced canopy death; identification of threats to ecologically sensitive plants; and selection and screening tools to improve the drought resilience of agriculturally important crop species.Read moreRead less
Investigating the genetic basis for heterogeneous susceptibility of Tasmanian devils to a novel infectious cancer. This project will use genetics and modelling to reveal why Tasmanian devils in northwest Tasmania are not dying from facial tumour disease, a new, unusual infectious cancer threatening this iconic carnivore with extinction. This project will predict extinction risk, develop management options, and provide a new template for managing emerging wildlife diseases.
Using animal-borne sensors to unravel East Antarctic coastal productivity. This project will examine the mechanisms underpinning the high productivity in Antarctic coastal polynyas, which are ice-free oases within the sea ice supporting abundant marine life. The study expects to generate essential new biochemical and biological observations using autonomous platforms to understand phytoplankton dynamics in these inaccessible habitats along Australia’s Antarctic Territory. Expected outcomes inclu ....Using animal-borne sensors to unravel East Antarctic coastal productivity. This project will examine the mechanisms underpinning the high productivity in Antarctic coastal polynyas, which are ice-free oases within the sea ice supporting abundant marine life. The study expects to generate essential new biochemical and biological observations using autonomous platforms to understand phytoplankton dynamics in these inaccessible habitats along Australia’s Antarctic Territory. Expected outcomes include novel insight into the role of iron supply from melting glaciers in supporting marine production. This should reduce the high uncertainty in prognoses for polynya activity under anthropogenic climate change, and support Australia’s international leadership in conservation and management of important Antarctic ecosystems.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
AirLIFT – an airborne active chlorophyll fluorescence sensing system for assessment of photosynthetic activity in plant canopies. Assessment of plant health and productivity is vital to ensure future food security of the global population under a changing climate. Chlorophyll fluorescence (CF), a signal emitted by green plants, can reveal this information. Although CF has revolutionised photosynthetic research, current measurements are limited to individual plants. Remote sensing of canopy CF is ....AirLIFT – an airborne active chlorophyll fluorescence sensing system for assessment of photosynthetic activity in plant canopies. Assessment of plant health and productivity is vital to ensure future food security of the global population under a changing climate. Chlorophyll fluorescence (CF), a signal emitted by green plants, can reveal this information. Although CF has revolutionised photosynthetic research, current measurements are limited to individual plants. Remote sensing of canopy CF is required for efficient management of agricultural crops, forests, and natural ecosystems and is crucial for accurate estimation of plant carbon assimilation and production. This project will deliver remote sensing technology to bridge the gap between leaf and canopy productivity and pave the way for understanding both artificial and solar induced canopy CF measured from space.Read moreRead less