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Research Topic : Climate Variability
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  • Funded Activity

    Discovery Projects - Grant ID: DP200100310

    Funder
    Australian Research Council
    Funding Amount
    $280,000.00
    Summary
    High resolution warm ocean records from laminated sediment. This project will produce environmental records during ocean warming events in the geologic past to reveal processes associated with warm oceans similar to those anticipated in the coming century. New Australian technology allows investigation of sediment records at unprecedented time resolution providing insight into processes operating on societally relevant time scales of decades to centuries. This work will open an archive of climat .... High resolution warm ocean records from laminated sediment. This project will produce environmental records during ocean warming events in the geologic past to reveal processes associated with warm oceans similar to those anticipated in the coming century. New Australian technology allows investigation of sediment records at unprecedented time resolution providing insight into processes operating on societally relevant time scales of decades to centuries. This work will open an archive of climate information revealing feedback, thresholds and tipping points from past events previously inaccessible because of technical and conceptual limitations. It will provide critical inputs into models predicting future climate and to illuminate the risks and compensating feedbacks occurring with warming.
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    Funded Activity

    ARC Future Fellowships - Grant ID: FT210100543

    Funder
    Australian Research Council
    Funding Amount
    $824,125.00
    Summary
    Improving predictions of species distribution dynamics. This project aims to mainstream methods for improved prediction of species distributions under the impacts of environmental change. This is important because these predictions are commonly used to guide environmental decisions, but the standard modelling methods used to produce them have critical limitations. This project intends to (i) make key statistical developments to methods for modelling dynamics of species distributions and (ii) tra .... Improving predictions of species distribution dynamics. This project aims to mainstream methods for improved prediction of species distributions under the impacts of environmental change. This is important because these predictions are commonly used to guide environmental decisions, but the standard modelling methods used to produce them have critical limitations. This project intends to (i) make key statistical developments to methods for modelling dynamics of species distributions and (ii) translate the methods into practice, through guidelines, tools and training, engagement with users and case studies addressing species of current concern. This should provide significant benefits because it will enable better decisions and more effective and cost-efficient management actions.
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    Funded Activity

    Early Career Industry Fellowships - Grant ID: IE230100578

    Funder
    Australian Research Council
    Funding Amount
    $355,208.00
    Summary
    Next generation soil carbon satellite-based measurement for carbon markets. Soil carbon sequestration is a federal government priority to offset greenhouse gas emissions. Efforts to advance this opportunity are hindered by the high technical costs of soil carbon quantification. This project will develop an innovative and potentially commercialisable technology that integrates ground data, unmanned aerial vehicles (UAVs), satellites, Eddy covariance CO2 flux towers, soil carbon (C) models, and ar .... Next generation soil carbon satellite-based measurement for carbon markets. Soil carbon sequestration is a federal government priority to offset greenhouse gas emissions. Efforts to advance this opportunity are hindered by the high technical costs of soil carbon quantification. This project will develop an innovative and potentially commercialisable technology that integrates ground data, unmanned aerial vehicles (UAVs), satellites, Eddy covariance CO2 flux towers, soil carbon (C) models, and artificial intelligence (AI) to improve the accuracy of satellite-based soil C modelling. The project will provide an accurate and cost-effective solution to quantification of soil C changes to unlock a large potential of carbon offsets in rangelands in Australia and worldwide.
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