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Australian State/Territory : QLD
Field of Research : Ecology
Research Topic : Landscape Architecture
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Ecology (4)
Landscape Ecology (4)
Community Ecology (2)
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Environmental Management And Rehabilitation (1)
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  • Researchers (8)
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  • Funded Activity

    Linkage Projects - Grant ID: LP0668369

    Funder
    Australian Research Council
    Funding Amount
    $221,000.00
    Summary
    Spatial scale of influence of riparian and catchment land use on stream ecosystem health. Human activities at the landscape scale comprise one of the greatest threats to the ecological integrity of river ecosystems. Government and community groups across Australia are making significant efforts in riparian protection and rehabilitation in an attempt to improve the health of degraded waterways but are hampered in their goal to maximise the environmental gains for every dollar or unit effort inve .... Spatial scale of influence of riparian and catchment land use on stream ecosystem health. Human activities at the landscape scale comprise one of the greatest threats to the ecological integrity of river ecosystems. Government and community groups across Australia are making significant efforts in riparian protection and rehabilitation in an attempt to improve the health of degraded waterways but are hampered in their goal to maximise the environmental gains for every dollar or unit effort invested. The proposed research on understanding the spatial scale of influence of land use and the aggregative effects on stream ecosystems will provide a robust framework to assess various options and optimise benefits from management actions.
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    Funded Activity

    Discovery Projects - Grant ID: DP0556469

    Funder
    Australian Research Council
    Funding Amount
    $215,000.00
    Summary
    The importance of edge effects in determining the value of seagrass landscapes as fish nurseries. Seagrasses are a conspicuous element of Australian marine environments, and are crucial in the conservation and maintenance of biodiversity. Degradation of seagrass ecosystems from climatic extremes, increased sediment and nutrients in the water, and other pollutants results in loss and fragmentation of meadows. These changes to seagrass are linked with increased coastal erosion, severe loss of bio .... The importance of edge effects in determining the value of seagrass landscapes as fish nurseries. Seagrasses are a conspicuous element of Australian marine environments, and are crucial in the conservation and maintenance of biodiversity. Degradation of seagrass ecosystems from climatic extremes, increased sediment and nutrients in the water, and other pollutants results in loss and fragmentation of meadows. These changes to seagrass are linked with increased coastal erosion, severe loss of biodiversity, and collapse of fisheries. Increased understanding of how biological processes such as predation and food availability influence animal associations with seagrasses, and how these effects change with landscape structure, will have important applications in the sustainable management of Australia's threatened coastal habitats.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE210101439

    Funder
    Australian Research Council
    Funding Amount
    $445,009.00
    Summary
    Towards reliable and explainable models for anticipating ecological change. This project aims to develop a quantitative framework for multivariate ecological prediction. This will allow us to better anticipate how ecosystems respond to environmental change. Recent modelling advances now make it possible to use the complexity of community ecology data to deliver better predictions. The project intends to use long-term ecological datasets to build and test novel multivariate prediction models, usi .... Towards reliable and explainable models for anticipating ecological change. This project aims to develop a quantitative framework for multivariate ecological prediction. This will allow us to better anticipate how ecosystems respond to environmental change. Recent modelling advances now make it possible to use the complexity of community ecology data to deliver better predictions. The project intends to use long-term ecological datasets to build and test novel multivariate prediction models, using tick paralysis rates in Australian dogs as a case study. Expected outcomes are better tools for studying ecosystem change and new hypotheses about how ecological communities are shaped. Application of these models should provide significant benefits, such as prediction of paralysis tick burdens to improve risk mitigation.
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    Active Funded Activity

    Discovery Early Career Researcher Award - Grant ID: DE190100710

    Funder
    Australian Research Council
    Funding Amount
    $422,492.00
    Summary
    Beyond Hendra: the significance of viral communities in bat virus spillover. This project aims to address the emerging global health threat posed by zoonotic bat-borne viruses, by determining why bats shed multiple viruses in synchronised pulses. The project expects to identify universal drivers of multi-viral shedding pulses, using Hendra virus as a model system for other bat viruses in Australia and globally. Expected outcomes include insights into the interactions between environmental change .... Beyond Hendra: the significance of viral communities in bat virus spillover. This project aims to address the emerging global health threat posed by zoonotic bat-borne viruses, by determining why bats shed multiple viruses in synchronised pulses. The project expects to identify universal drivers of multi-viral shedding pulses, using Hendra virus as a model system for other bat viruses in Australia and globally. Expected outcomes include insights into the interactions between environmental change, bat ecology, viral dynamics and spillover, prediction of when and where bat viral shedding will most likely occur, and development of new ecological interventions to prevent bat virus spillover in Australia and globally. This will provide significant benefits by pre-empting spillover and global pandemics before they occur.
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