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Current Selection
Status : Active
Research Topic : Surface Forces
Field of Research : Ecology
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Ecology (6)
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  • Researchers (59)
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP210101887

    Funder
    Australian Research Council
    Funding Amount
    $563,000.00
    Summary
    Dispersal and recruitment of species across landscapes: a new synthesis. This project aims to ask: does failure to disperse successfully across landscapes limit the abundances and diversity of species in habitat patches? This is a central question in ecology. The project expects to generate new knowledge about the links between dispersal success and population numbers by using recent advances in river ecology that have overcome logistical barriers to hypothesis tests. Expected outcomes include n .... Dispersal and recruitment of species across landscapes: a new synthesis. This project aims to ask: does failure to disperse successfully across landscapes limit the abundances and diversity of species in habitat patches? This is a central question in ecology. The project expects to generate new knowledge about the links between dispersal success and population numbers by using recent advances in river ecology that have overcome logistical barriers to hypothesis tests. Expected outcomes include new insights into why dispersal failures occur and how they are associated with low population numbers. Benefits should include improved advice to conservation managers about extinction risks, and unique, tangible outcomes for fundamental ecological research in Australia that will spring from international collaboration.
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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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    Active Funded Activity

    Discovery Projects - Grant ID: DP220102184

    Funder
    Australian Research Council
    Funding Amount
    $461,796.00
    Summary
    Identifying how a non-stationary environment affects species persistence. This project aims to achieve the first application of new ecological theory that accounts for environmental change and species’ ability to respond to that change, using caddisflies that lay eggs on rocks in rivers as a case study. Long-term change in climate has always occurred but is often not accounted for when estimating future population sizes and extinction risk in species. Outcomes will include new knowledge on chang .... Identifying how a non-stationary environment affects species persistence. This project aims to achieve the first application of new ecological theory that accounts for environmental change and species’ ability to respond to that change, using caddisflies that lay eggs on rocks in rivers as a case study. Long-term change in climate has always occurred but is often not accounted for when estimating future population sizes and extinction risk in species. Outcomes will include new knowledge on changing habitat availability, species’ ability to move in the landscape and successfully lay and hatch eggs, while creating a general template for use in other species. This will lead to significant benefits for conservation efforts worldwide, via the template’s inclusion in accepted extinction assessment protocols.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP190102837

    Funder
    Australian Research Council
    Funding Amount
    $242,994.00
    Summary
    Species redundancy in response to multiple disturbances. This project aims to elucidate how the context within which disturbances occur affects food web linkages and how these map to responses in ecosystem function. There is a critical need to test the common assumption in environmental management that high biodiversity makes ecosystems resilient to disturbances. Studies that merely observe biodiversity change after disturbance cannot identify ecological processes connecting high diversity and e .... Species redundancy in response to multiple disturbances. This project aims to elucidate how the context within which disturbances occur affects food web linkages and how these map to responses in ecosystem function. There is a critical need to test the common assumption in environmental management that high biodiversity makes ecosystems resilient to disturbances. Studies that merely observe biodiversity change after disturbance cannot identify ecological processes connecting high diversity and ecosystem function, making experiments that manipulate identical disturbances in ecosystems with different biodiversity essential. This project will use field experiments that manipulate disturbances in streams replicated in low and high biodiversity regions and across gradients of chronic background stress to show how biodiversity sustains functional ecosystems, and how much diversity can be lost before ecosystems collapse.
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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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    Active Funded Activity

    Linkage Projects - Grant ID: LP200100381

    Funder
    Australian Research Council
    Funding Amount
    $495,820.00
    Summary
    Improving stream management using ecological modelling and DNA barcodes. Rivers and streams provide invaluable ecosystem services, yet are commonly degraded by human activities: a problem likely to be exacerbated by thermal and flow regimes being altered by climate change. Stream biodiversity is both a value and an indicator of ecological health: effective stream management requires prediction of biodiversity responses to natural environmental and human-impact gradients. By compiling a dataset o .... Improving stream management using ecological modelling and DNA barcodes. Rivers and streams provide invaluable ecosystem services, yet are commonly degraded by human activities: a problem likely to be exacerbated by thermal and flow regimes being altered by climate change. Stream biodiversity is both a value and an indicator of ecological health: effective stream management requires prediction of biodiversity responses to natural environmental and human-impact gradients. By compiling a dataset of macroinvertebrate species using new DNA metabarcoding, modelling their distributions, and ranking biodiversity by reach, we will develop molecular and quantitative spatial tools to provide data-driven, landscape-scale decision support for protecting and restoring streams: an urgent need for stream managers globally.
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    Showing 1-6 of 6 Funded Activites

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