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Field of Research : Ecology
Field of Research : Population ecology
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  • Active Funded Activity

    Discovery Projects - Grant ID: DP230100773

    Funder
    Australian Research Council
    Funding Amount
    $609,000.00
    Summary
    Horizontal ecological networks for understanding biodiversity maintenance. The project aims to develop new ecological theory on local diversity maintenance based on an innovative interaction network model, tested on Western Australian wildflower communities. It is novel in its focus on the complexity of species interactions and their importance to diversity maintenance in nature. This project aims to explore links between plant interaction networks and coexistence theory to provide theoretical e .... Horizontal ecological networks for understanding biodiversity maintenance. The project aims to develop new ecological theory on local diversity maintenance based on an innovative interaction network model, tested on Western Australian wildflower communities. It is novel in its focus on the complexity of species interactions and their importance to diversity maintenance in nature. This project aims to explore links between plant interaction networks and coexistence theory to provide theoretical expectations for how changes to the environment are expected to alter natural plant communities. It aims to fill theory-gap about mechanisms of multi-species coexistence, advance community ecology, and provide the theoretical foundations necessary for translating ecological theory to restoration and conservation in practice.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP230102298

    Funder
    Australian Research Council
    Funding Amount
    $386,494.00
    Summary
    Pathways to semelparity versus early maturity in animals and plants. The project aims to resolve an important but unresolved question in life history evolution and ecology- which mechanisms and constraints lead to semelparity (breeding once, which is rare), and which lead to fast life history (breeding early, which is common) in animals and plants. Theory predicts that both may be adaptations to schedules of adult death. Understanding why males and females have either semelparous or fast life hi .... Pathways to semelparity versus early maturity in animals and plants. The project aims to resolve an important but unresolved question in life history evolution and ecology- which mechanisms and constraints lead to semelparity (breeding once, which is rare), and which lead to fast life history (breeding early, which is common) in animals and plants. Theory predicts that both may be adaptations to schedules of adult death. Understanding why males and females have either semelparous or fast life history strategies is crucial to predicting survival of harvested and threatened species under pressure from climate change, drought, predators, and diseases that kill adults. Expected project outcomes include improved ability to address agents of decline of threatened animals and plants including semelparous species.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP230102663

    Funder
    Australian Research Council
    Funding Amount
    $406,269.00
    Summary
    Microcosm Experiments for Improved Species Distribution Models. This project aims to use a spatially-explicit experimental system based on protists (microscopic organisms) to evaluate the predictive performance of dynamic distribution models, which are a newly-emerging class of species distribution models. Species distribution models are a fundamental part of ecological science, and underpin a range of applications related to managing threatened and invasive species. The project is expected to p .... Microcosm Experiments for Improved Species Distribution Models. This project aims to use a spatially-explicit experimental system based on protists (microscopic organisms) to evaluate the predictive performance of dynamic distribution models, which are a newly-emerging class of species distribution models. Species distribution models are a fundamental part of ecological science, and underpin a range of applications related to managing threatened and invasive species. The project is expected to provide insights into when these models are likely to work better than more traditional correlative models in non-lab environments. The experiments will inform further development of dynamic distribution models, and help determine whether dynamic distribution models can be usefully applied to species management.
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