Novel experimental and longitudinal analyses to promote woodland biota. Novel experimental and longitudinal analyses to promote woodland biota. This project aims to close important scientific and practical application gaps around the most effective ways to restore and manage vegetation on farms. Although restoration programs to increase native vegetation cover are essential for integrating agricultural production with biodiversity conservation, critical scientific questions remain about how biot ....Novel experimental and longitudinal analyses to promote woodland biota. Novel experimental and longitudinal analyses to promote woodland biota. This project aims to close important scientific and practical application gaps around the most effective ways to restore and manage vegetation on farms. Although restoration programs to increase native vegetation cover are essential for integrating agricultural production with biodiversity conservation, critical scientific questions remain about how biota responds to temporal increases in vegetation cover. This project will combine novel spatiotemporal analyses of long-term datasets and a blocked and replicated experiment comparing planting strategies that connect woodland patches vs augmentation strategies that increase individual patch size. Anticipated outcomes are better designed and implemented restorations to maximise benefits for biota.Read moreRead less
Unravelling soil carbon response to warming in fire-affected ecosystems. This project aims to reveal the continental pattern of soil carbon (C) response to warming in fire-affected ecosystems across Australia and to unravel the biogeochemical mechanisms underlying fire’s role in shaping the temperature sensitivity of soil respiration. Fire has modified over 40% of the Earth’s land surface and wildfire frequency is predicted to increase under global warming. This project expects to generate new k ....Unravelling soil carbon response to warming in fire-affected ecosystems. This project aims to reveal the continental pattern of soil carbon (C) response to warming in fire-affected ecosystems across Australia and to unravel the biogeochemical mechanisms underlying fire’s role in shaping the temperature sensitivity of soil respiration. Fire has modified over 40% of the Earth’s land surface and wildfire frequency is predicted to increase under global warming. This project expects to generate new knowledge on how fire influences soil-to-atmosphere C fluxes in a warmer climate using a multi-disciplinary approach. Expected outcomes include an enhanced capacity to predict the terrestrial ecosystem-to-atmosphere C fluxes and their feedbacks to climate under increasing frequency of fire using Earth-system models. Read moreRead less
The endangered swift parrot as a model for managing small migratory birds. Endangered swift parrots use variable locations while breeding in eastern Tasmania and over winter on the Australian mainland. This project aims to develop effective conservation strategies for swift parrots and other migrants using new and long term data and innovative technological solutions to tracking small birds across vast landscapes.
Boxing clever: artificial nest boxes as a conservation and research tool. Saving endangered species increasingly requires proactive management. This project presents an innovative and practical solution to save an iconic Australian species, while also providing the scientific foundation for the development of a novel Australian-based commercial product that will be used to protect and restore Australian biodiversity.
Dynamics of Suppressed Mixing Regimes in Australian Rivers. This study aims to further the fundamental science of turbulent mixing in the context of flow in Australian rivers. The focus is on prolonged low flow conditions which when coupled with warm surface temperatures cause the water column to become thermally stratified which then suppresses turbulent mixing. The extreme scale of the river systems has made investigating the true dynamics of the strongly stratified mixing regimes particularly ....Dynamics of Suppressed Mixing Regimes in Australian Rivers. This study aims to further the fundamental science of turbulent mixing in the context of flow in Australian rivers. The focus is on prolonged low flow conditions which when coupled with warm surface temperatures cause the water column to become thermally stratified which then suppresses turbulent mixing. The extreme scale of the river systems has made investigating the true dynamics of the strongly stratified mixing regimes particularly challenging. By taking world first in-situ measurements of turbulent mixing and undertaking high resolution numerical simulations this study will provide definitive data which will allow correct characterization of the mixing regimes and how they are associated with river flow conditions.Read moreRead less
Optimising plant populations for ecological restoration and resilience. When choosing individual plants for restoration populations, there is potentially a trade-off between maximising genetic diversity (‘adaptability’) and selection for desirable properties (‘adaptation’). This project aims to develop pioneering methods to quantify this trade-off, and facilitate the design of optimised populations, with a focus on two Australian rainforest trees that are being impacted by myrtle rust infection: ....Optimising plant populations for ecological restoration and resilience. When choosing individual plants for restoration populations, there is potentially a trade-off between maximising genetic diversity (‘adaptability’) and selection for desirable properties (‘adaptation’). This project aims to develop pioneering methods to quantify this trade-off, and facilitate the design of optimised populations, with a focus on two Australian rainforest trees that are being impacted by myrtle rust infection: Rhodamnia argentea and Rhodamnia rubescens. By studying the genetic variation in each species, and how this relates to myrtle rust resistance and climate, this project aims to design populations that are genetically diverse, maximally resistant to myrtle rust, and adapted to future climate.Read moreRead less
Forecasting live fuel moisture content, the on/off switch for forest fire. Dry forest fuels are a precursor of large bushfires. This research aims to develop, for the first time, a model to reliably forecast the moisture content of live fuels (e.g. the foliage and fine branches of shrubs and trees). This will be achieved by combining (i) satellite-derived estimates of live fuel moisture content, (ii) forecasts of soil moisture, and (iii) plant physiological responses to soil dryness. Forecasts o ....Forecasting live fuel moisture content, the on/off switch for forest fire. Dry forest fuels are a precursor of large bushfires. This research aims to develop, for the first time, a model to reliably forecast the moisture content of live fuels (e.g. the foliage and fine branches of shrubs and trees). This will be achieved by combining (i) satellite-derived estimates of live fuel moisture content, (ii) forecasts of soil moisture, and (iii) plant physiological responses to soil dryness. Forecasts of live fuel moisture content will deliver an early warning system of the risk of bushfires. These forecasts will also facilitate improved planning of prescribed burns: if fuels are too dry there is a risk of burns escaping, conversely, if fuels are too wet there is a risk that burns will fail to meet objectives.Read moreRead less
To grow or to store: Do plants hedge their bets? This project aims to resolve a long-standing question about the function of perennial plants: how much of the carbon taken up by photosynthesis is used immediately for growth, and how much is kept in reserve as insurance against future stress? This question is important to our understanding of how plants respond to stresses such as severe drought, and yet lack of data and theoretical modelling currently hampers our ability to answer it. By applyin ....To grow or to store: Do plants hedge their bets? This project aims to resolve a long-standing question about the function of perennial plants: how much of the carbon taken up by photosynthesis is used immediately for growth, and how much is kept in reserve as insurance against future stress? This question is important to our understanding of how plants respond to stresses such as severe drought, and yet lack of data and theoretical modelling currently hampers our ability to answer it. By applying novel data analysis and modelling tools to recent experimental results, the project plans to test hypotheses for how plants allocate carbon between growth and storage in response to stress. Insights from the project may underpin better management of Australia’s vulnerable ecosystems.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100073
Funder
Australian Research Council
Funding Amount
$280,000.00
Summary
High-throughput sample preparation robotics to enable emerging large-scale plant genomics, metabolomics and proteomics research. Discovering and breeding plants that are best suited for new environmental conditions requires the analysis of many samples to discover the underlying genes, metabolites and proteins. The project will build two robotic instruments that will facilitate the rapid grinding and extraction of plant tissues to facilitate these discoveries across Australia.
Modern statistical methods for clustering community ecology data. This project will develop statistical methods and software for clustering community ecology data, and use them to analyse systematic survey and citizen science program data collected along the Great Barrier Reef. By doing so, the project will address the dearth of statistical classification techniques for high-dimensional, multi-response data with complex relationships. When the resultant clustering methods are used to construct b ....Modern statistical methods for clustering community ecology data. This project will develop statistical methods and software for clustering community ecology data, and use them to analyse systematic survey and citizen science program data collected along the Great Barrier Reef. By doing so, the project will address the dearth of statistical classification techniques for high-dimensional, multi-response data with complex relationships. When the resultant clustering methods are used to construct bioregions and characterise species’ environmental responses, they should significantly enhance evaluations of the impact of human activity and environmental change on coral diversity. Ultimately, these evaluations can underpin future decisions in the conservation and management of the Great Barrier Reef.Read moreRead less