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Australian State/Territory : QLD
Research Topic : Freshwater
Scheme : Discovery Projects
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Ecology (3)
Freshwater Ecology (3)
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP240100269

    Funder
    Australian Research Council
    Funding Amount
    $676,935.00
    Summary
    A paradigm shift for predictions of freshwater harmful cyanobacteria blooms. This project aims to advance model predictions to generate novel insights into the triggers of freshwater harmful cyanobacteria blooms. Current models are poorly adapted for this purpose because they fail to account for antecedent environmental forcing. The project is expected to create new knowledge of cyanobacteria dynamics from simulating the adaptive responses of individual cyanobacteria cells, colonies or filaments .... A paradigm shift for predictions of freshwater harmful cyanobacteria blooms. This project aims to advance model predictions to generate novel insights into the triggers of freshwater harmful cyanobacteria blooms. Current models are poorly adapted for this purpose because they fail to account for antecedent environmental forcing. The project is expected to create new knowledge of cyanobacteria dynamics from simulating the adaptive responses of individual cyanobacteria cells, colonies or filaments to temperature, light and nutrient history. Three field studies will be used to validate a new individual based model. The outcomes of this project will be valuable for managing freshwater ecosystems that are increasingly subject to blooms in a warming climate, and for testing suitable mitigation and control strategies.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP220102040

    Funder
    Australian Research Council
    Funding Amount
    $417,875.00
    Summary
    Rapid evolution, and the dynamics and stability of ecological communities. Population sizes of species go up and down and often we do not know why. This is a problem because changes in population size underpin more complex ecological change, and understanding why population sizes change affects our ability to manage environmental impacts, and threatened, harvested and pest species. The aim of this project is to discover how rapid evolution – evolution occurring over just a few generations – driv .... Rapid evolution, and the dynamics and stability of ecological communities. Population sizes of species go up and down and often we do not know why. This is a problem because changes in population size underpin more complex ecological change, and understanding why population sizes change affects our ability to manage environmental impacts, and threatened, harvested and pest species. The aim of this project is to discover how rapid evolution – evolution occurring over just a few generations – drives changes in population sizes of plants in Australian freshwater ecosystems. By focusing on this fundamental yet poorly understood process, our results promise to rewrite our understanding of the causes of change in ecological communities, while highlighting a unique and little studied component of Australia’s biota.
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    Funded Activity

    Discovery Projects - Grant ID: DP120103353

    Funder
    Australian Research Council
    Funding Amount
    $230,000.00
    Summary
    Systematic planning beyond conservation: a multi-objective, multi action framework for sustainable biodiversity. When planning for conservation in rivers, protecting plants and animals can not simply be achieved by protecting parts of a river. This project will develop a strategy to sustain freshwater biodiversity that will optimally allocate conservation and restoration resources and minimises negative socioeconomic impacts on stakeholders.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190101848

    Funder
    Australian Research Council
    Funding Amount
    $475,000.00
    Summary
    Next-generation models to predict cyanobacteria harmful algal blooms. This project aims to address the need for improved predictions of cyanobacteria (blue-green algae) harmful algal blooms. Accurate predictions of blooms with computer models are important to support management strategies to prevent their occurrence. This project is expected to generate new knowledge of strain-level variation in cyanobacteria that leads to toxic blooms. This project will lead to new knowledge of the significance .... Next-generation models to predict cyanobacteria harmful algal blooms. This project aims to address the need for improved predictions of cyanobacteria (blue-green algae) harmful algal blooms. Accurate predictions of blooms with computer models are important to support management strategies to prevent their occurrence. This project is expected to generate new knowledge of strain-level variation in cyanobacteria that leads to toxic blooms. This project will lead to new knowledge of the significance of strain-level variation in cyanobacteria harmful algal blooms, how strains influence toxin production and models for prediction of bloom and toxins. The project will generate significant benefits for water security for the purposes human consumption and recreation, and ecosystem health.
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    Showing 1-4 of 4 Funded Activites

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