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Research Topic : Body composition
Socio-Economic Objective : Ecosystem Adaptation to Climate Change
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  • Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE230101346

    Funder
    Australian Research Council
    Funding Amount
    $418,893.00
    Summary
    Cave microbial metabolism as a missing biogeochemical sink. The aim of this project is to unveil the microbial biodiversity, novel metabolic capabilities and chemosynthetic primary production of subsurface ecosystems, such as those found in caves. Leveraging a powerful blend of geospatial, molecular and biogeochemical approaches this project expects to identify the microbial basis of subsurface biogeochemical processes driving the earth’s major elementary cycles. Expected outcomes include a pred .... Cave microbial metabolism as a missing biogeochemical sink. The aim of this project is to unveil the microbial biodiversity, novel metabolic capabilities and chemosynthetic primary production of subsurface ecosystems, such as those found in caves. Leveraging a powerful blend of geospatial, molecular and biogeochemical approaches this project expects to identify the microbial basis of subsurface biogeochemical processes driving the earth’s major elementary cycles. Expected outcomes include a predictive framework to assess and upscale the impact of these microbial communities on the environment. Benefits include predicting and responding to climate risks, such as the desertification of agricultural soils, by uncovering how microorganisms respond to nutrient and carbon depletion.
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    Funded Activity

    Discovery Projects - Grant ID: DP150101649

    Funder
    Australian Research Council
    Funding Amount
    $263,500.00
    Summary
    GBR as a significant source of climatically relevant aerosol particles. Every cloud drop is formed from a microscopic aerosol particle, known as a cloud condensation nuclei (CCN). In unpolluted environments the CCN particles originate from biogenic sources. Determining the magnitude and driving factors of biogenic aerosol production in different ecosystems is crucial to the development and improvement of climate models. This project aims to determine the mechanisms of new particle production fro .... GBR as a significant source of climatically relevant aerosol particles. Every cloud drop is formed from a microscopic aerosol particle, known as a cloud condensation nuclei (CCN). In unpolluted environments the CCN particles originate from biogenic sources. Determining the magnitude and driving factors of biogenic aerosol production in different ecosystems is crucial to the development and improvement of climate models. This project aims to determine the mechanisms of new particle production from one of the biggest ecosystems in Australia, the Great Barrier Reef. It is expected that the project will establish whether marine aerosol along the Queensland coast is coral-derived and show that this aerosol can affect the CCN concentration and therefore cloud formation and the hydrological cycle.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP230101171

    Funder
    Australian Research Council
    Funding Amount
    $374,079.00
    Summary
    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.
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