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Australian State/Territory : TAS
Australian State/Territory : NSW
Research Topic : Intestinal adaptation
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  • Funded Activity

    Research Networks - Grant ID: RN0459908

    Funder
    Australian Research Council
    Funding Amount
    $2,500,000.00
    Summary
    ARC Australia-New Zealand Research Network for Vegetation Function. Plant species vary widely in quantitative functional traits, and in their relations to climate, soils and geography. Global generalizations are emerging. Vegetation Function network will reach from plant function into genomics and crop breeding, into palaeoecology and vegetation history, into landscape management for carbon, water and salinity outcomes, into forecasting future ecosystems under global change, and into phylogeny, .... ARC Australia-New Zealand Research Network for Vegetation Function. Plant species vary widely in quantitative functional traits, and in their relations to climate, soils and geography. Global generalizations are emerging. Vegetation Function network will reach from plant function into genomics and crop breeding, into palaeoecology and vegetation history, into landscape management for carbon, water and salinity outcomes, into forecasting future ecosystems under global change, and into phylogeny, ecoinformatics and evolutionary theory. Across this span, working groups will target nine identified opportunities for breakthrough research. Each research target needs input from two or more disciplines. Together, the nine targets link across disciplines, as a network that spans from genomic to planetary scales.
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    Funded Activity

    Discovery Projects - Grant ID: DP170102261

    Funder
    Australian Research Council
    Funding Amount
    $439,000.00
    Summary
    Improved management of coastal plankton systems by ancient DNA technology. This project aims to assemble comprehensive long term Australian plankton records spanning 50 to 1000 years, by applying ancient DNA technology to dated sediment depth cores. Long-term data for Australian coastal and estuarine waters are sparse, so cannot be used for management of fisheries, tourism or urban development. Long-term records are essential to understand how disruptive algal and jellyfish blooms, introduced sp .... Improved management of coastal plankton systems by ancient DNA technology. This project aims to assemble comprehensive long term Australian plankton records spanning 50 to 1000 years, by applying ancient DNA technology to dated sediment depth cores. Long-term data for Australian coastal and estuarine waters are sparse, so cannot be used for management of fisheries, tourism or urban development. Long-term records are essential to understand how disruptive algal and jellyfish blooms, introduced species and increased human use of coastal resources affect dynamic plankton ecosystems. This project’s findings are expected to explore cyclical patterns, define range expansions and understand and manage how dynamic coastal ecosystems respond to multistressor anthropogenic change. Findings will improve understanding of how dynamic marine environments retain their biodiversity values and critical ecological functions.
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    Funded Activity

    Linkage Projects - Grant ID: LP150100761

    Funder
    Australian Research Council
    Funding Amount
    $900,000.00
    Summary
    Improving prediction of rocky reef ecosystem responses to human impacts. This project aims to improve our understanding of inshore ecosystems to facilitate better management of our living marine heritage. The project first aims to extend field datasets on the density and distribution of thousands of marine fishes, invertebrates and macro-algae. These will then be combined using recent advances in quantitative ecological modelling to describe transfer of biomass between species at hundreds of sit .... Improving prediction of rocky reef ecosystem responses to human impacts. This project aims to improve our understanding of inshore ecosystems to facilitate better management of our living marine heritage. The project first aims to extend field datasets on the density and distribution of thousands of marine fishes, invertebrates and macro-algae. These will then be combined using recent advances in quantitative ecological modelling to describe transfer of biomass between species at hundreds of sites, with a primary focus on southern Australia. It is anticipated that this will provide site-level indices of major food web processes that, when combined with ‘before, after, control, impact’ data, will improve prediction of ecological consequences of fishing, climate change, pest outbreaks and pollution.
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