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Field of Research : Conservation and Biodiversity
Research Topic : Mathematic models
Australian State/Territory : VIC
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  • Funded Activity

    Discovery Projects - Grant ID: DP170104795

    Funder
    Australian Research Council
    Funding Amount
    $588,500.00
    Summary
    Predicting the ecological and economic outcomes of trade. This project aims to understand and predict the effects of global trade on land use and biodiversity.Growth in international trade increases trade-mediated land-use by increasing demand for commodities directly or indirectly derived from the land. Accurate predictions of trade effects and opportunities would allow governments to maximise ecological and economic benefits and minimise effects through judicious planning and regulation, but s .... Predicting the ecological and economic outcomes of trade. This project aims to understand and predict the effects of global trade on land use and biodiversity.Growth in international trade increases trade-mediated land-use by increasing demand for commodities directly or indirectly derived from the land. Accurate predictions of trade effects and opportunities would allow governments to maximise ecological and economic benefits and minimise effects through judicious planning and regulation, but such analyses do not exist. This project expects to advance trade policy evaluation by improving and integrating computable global equilibrium models and land-use and ecological models to better characterise consequences of trade.
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    Active Funded Activity

    Discovery Projects - Grant ID: DP210103460

    Funder
    Australian Research Council
    Funding Amount
    $770,971.00
    Summary
    Nature futures: mapping pathways to prosperity for people and nature. Population growth, consumption and trade are direct socio-economic drivers of land use change and climate change, which determine where species can persist. The UN Sustainable Development Goals and national policies acknowledge the dependence of people on nature and the impact of socio-economic drivers on nature. However, few analyses of impacts on nature explicitly incorporate socio-economic drivers. Utilising a novel modelli .... Nature futures: mapping pathways to prosperity for people and nature. Population growth, consumption and trade are direct socio-economic drivers of land use change and climate change, which determine where species can persist. The UN Sustainable Development Goals and national policies acknowledge the dependence of people on nature and the impact of socio-economic drivers on nature. However, few analyses of impacts on nature explicitly incorporate socio-economic drivers. Utilising a novel modelling framework and high-performance computing we will integrate economic, land use and biodiversity models to evaluate: (i) policies and incentives for increasing national vegetation cover for carbon sequestration and habitat, and (ii) global risks to nature posed by land use change under future geopolitical scenarios.
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    Funded Activity

    Discovery Projects - Grant ID: DP120100781

    Funder
    Australian Research Council
    Funding Amount
    $250,000.00
    Summary
    A global-scale analysis of functional traits in the face of global change. This project uses a global collaboration to develop a novel method for determining the response of extremely diverse animal taxa to global change. The method focusses on morphological traits and their functions and will improve conservation efforts by predicting the types of ecological processes and species threatened.
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    Showing 1-3 of 3 Funded Activites

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