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Understanding snow gum dieback for effective and integrated management. The project leverages recent research and infrastructure investments and our determined and collaborative team as it aims to: 1) assess the future geography of snow gum dieback in the high country and identify priority locations for pro-active management, 2) quantify the impact of snow gums on high country water and carbon budgets and thus the socio- economic and biodiversity values, and 3) determine options for mitigation. ....Understanding snow gum dieback for effective and integrated management. The project leverages recent research and infrastructure investments and our determined and collaborative team as it aims to: 1) assess the future geography of snow gum dieback in the high country and identify priority locations for pro-active management, 2) quantify the impact of snow gums on high country water and carbon budgets and thus the socio- economic and biodiversity values, and 3) determine options for mitigation. Dieback of our iconic snow gum forests is diminishing the ecological, hydrological and cultural values of the Australian Alps and will impact state and national water-supply and power-generation systems. Our research will inform Alps-wide management efforts designed for long-term success.Read moreRead less
Ecological forecasts of species response to fire, drought and heatwaves. This project will advance ecosystem forecasting by accounting for how legacy effects from extreme environmental events – prolonged droughts, floods, heatwaves and fires – persist into future years in vulnerable dryland ecosystems. As highly stressed environments are expected to leave increasingly large impacts on flora and fauna and exacerbate desertification, answers are urgently needed to understand and mitigate these imp ....Ecological forecasts of species response to fire, drought and heatwaves. This project will advance ecosystem forecasting by accounting for how legacy effects from extreme environmental events – prolonged droughts, floods, heatwaves and fires – persist into future years in vulnerable dryland ecosystems. As highly stressed environments are expected to leave increasingly large impacts on flora and fauna and exacerbate desertification, answers are urgently needed to understand and mitigate these impacts. This project will foster new appreciation of ecosystem features that build resilience to change, or that lead to collapse. Benefits include better forecasting tools to manage ecosystems at risk, improved security of biodiversity and food production in Australian rangelands, and training of early career researchers.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100490
Funder
Australian Research Council
Funding Amount
$426,742.00
Summary
Understanding infection tolerance to improve management of wildlife disease. This project aims to investigate tolerance (the ability to limit the detrimental effects of infection) as a key animal defence strategy against disease. It focuses on diseases in natural systems, using the devastating amphibian fungal skin disease, chytridiomycosis, as a model. Expected outcomes include improved understanding of the relative importance of tolerance and resistance, and insight into the key immune and phy ....Understanding infection tolerance to improve management of wildlife disease. This project aims to investigate tolerance (the ability to limit the detrimental effects of infection) as a key animal defence strategy against disease. It focuses on diseases in natural systems, using the devastating amphibian fungal skin disease, chytridiomycosis, as a model. Expected outcomes include improved understanding of the relative importance of tolerance and resistance, and insight into the key immune and physiologic mechanisms underlying variations in tolerance. Anticipated benefits include improved strategies for mitigating infectious wildlife diseases via identifying targets for therapeutic interventions, ecological management and assisted-evolution strategies. This project should also benefit amphibian conservation globally.Read moreRead less
Navigating under the forest canopy and in the urban jungle. This project aims to develop a framework for unmanned aerial vehicles (UAV), which optimally balances localisation, mapping and other objectives in order to solve sequential decision tasks under map and pose uncertainty. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining simultaneous localisation and mapping algorithms with partially observable markov decision processes. The proje ....Navigating under the forest canopy and in the urban jungle. This project aims to develop a framework for unmanned aerial vehicles (UAV), which optimally balances localisation, mapping and other objectives in order to solve sequential decision tasks under map and pose uncertainty. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining simultaneous localisation and mapping algorithms with partially observable markov decision processes. The project’s expected outcomes will enable UAVs to solve multiple objectives under map and pose uncertainty in GPS-denied environments. This will provide significant benefits, such as more responsive disaster management, bushfire monitoring and biosecurity, and improved environmental monitoring.Read moreRead less
Tackling pests using game theory to support cooperative management. This project aims to improve management of invasive species by assisting pest mitigation agencies to work together. This is expected to result in more efficient and effective strategies, with the potential to dramatically improve local and global agricultural and environmental outcomes. An interdisciplinary approach using game theory, spatial modelling, and ecology is expected to create a novel framework to identify how and when ....Tackling pests using game theory to support cooperative management. This project aims to improve management of invasive species by assisting pest mitigation agencies to work together. This is expected to result in more efficient and effective strategies, with the potential to dramatically improve local and global agricultural and environmental outcomes. An interdisciplinary approach using game theory, spatial modelling, and ecology is expected to create a novel framework to identify how and when agencies might collaborate, and how collaboration might impact on costs and benefits of pest control strategies. The project will provide significant benefits by improving management of invasive species across Queensland, one of Australia's largest agricultural producing states and home to a vast number of Australia's threatened species. Read moreRead less
Forecasting coral reef recovery with new data-driven dispersal models. This project aims to combine innovative mathematical methods and new genetic data to accurately predict the larval dispersal patterns of reef fish and corals. Larval dispersal is central to the ecology of coral reefs, and has vital implications for conservation. Most marine organisms spend their early life dispersing in the ocean, but our understanding of where these tiny larvae go is limited by sparse data and unvalidated mo ....Forecasting coral reef recovery with new data-driven dispersal models. This project aims to combine innovative mathematical methods and new genetic data to accurately predict the larval dispersal patterns of reef fish and corals. Larval dispersal is central to the ecology of coral reefs, and has vital implications for conservation. Most marine organisms spend their early life dispersing in the ocean, but our understanding of where these tiny larvae go is limited by sparse data and unvalidated models. Applied to extensive case-studies from Australia and across the western Pacific Ocean, these methods will be used to forecast and understand the recovery of fish and coral populations following severe disturbances. This will provide benefits such as enabling us to prioritise conservation actions in the aftermath of severe disturbances, including the catastrophic 2016 mass coral bleaching on the Great Barrier Reef.Read moreRead less
Genomics and mixed source populations in wildlife translocations. Translocation is a conservation strategy to help the plight of endangered species, and is becoming increasing important to mitigate against climate change. However translocations often fail. Theory suggests mixing individuals from different source populations would benefit species' genomic diversity and potentially success rates, however this is untested in animals. Also unclear is what parts of the genome are important for mitiga ....Genomics and mixed source populations in wildlife translocations. Translocation is a conservation strategy to help the plight of endangered species, and is becoming increasing important to mitigate against climate change. However translocations often fail. Theory suggests mixing individuals from different source populations would benefit species' genomic diversity and potentially success rates, however this is untested in animals. Also unclear is what parts of the genome are important for mitigating against climate change. Using an endangered lizard model, this project aims to understand how to best start new populations by 1) providing the first empirical test in terrestrial vertebrates of using mixed source populations; and 2) uncovering regions of the genome important for considering in translocations.Read moreRead less
Pathways to agri-food supply chains that co-benefit people and nature. This project aims to improve biodiversity outcomes of agricultural food production and consumption, and expects to generate new knowledge about impacts of interventions and shocks on the environment, human health and livelihoods in agri-food systems. This will be achieved using an interdisciplinary approach that accounts for uncertainties in links between farmers, suppliers, consumers and supply-chain outcomes. The expected o ....Pathways to agri-food supply chains that co-benefit people and nature. This project aims to improve biodiversity outcomes of agricultural food production and consumption, and expects to generate new knowledge about impacts of interventions and shocks on the environment, human health and livelihoods in agri-food systems. This will be achieved using an interdisciplinary approach that accounts for uncertainties in links between farmers, suppliers, consumers and supply-chain outcomes. The expected outcome is a value of information framework for identifying nature-friendly policies and actions with co-benefits for human well-being. Benefits include sustainability pathways with win-win outcomes for people and nature, and improved ways of meeting international commitments such as Sustainable Development Goals.Read moreRead less
Tackling marine conservation issues at national and global scales. This project aims to collect and apply standardised underwater data on fishes, invertebrates and plants in an unprecedented global analysis of decadal change in rocky and coral reef ecosystems. Outcomes will include validation of global models of ocean warming and understanding of poorly known ecological impacts of recreational fisheries. A suite of data-informed recommendations developed through engagement across management, sci ....Tackling marine conservation issues at national and global scales. This project aims to collect and apply standardised underwater data on fishes, invertebrates and plants in an unprecedented global analysis of decadal change in rocky and coral reef ecosystems. Outcomes will include validation of global models of ocean warming and understanding of poorly known ecological impacts of recreational fisheries. A suite of data-informed recommendations developed through engagement across management, science and public sectors will benefit Australians by enabling improved sustainability of resource use. International benefits will propagate through increased data access, improvements in predictive models and the evidence base required for large-scale biodiversity-related policy reform.Read moreRead less
Modelling dynamics in spatial ecology. This project addresses how birth, death and movement drive patterns of plants and animals in space and time. We aim to apply and extend dynamical statistical models grounded in theory. Dynamical models are needed for us to understand how species and ecological communities respond to environmental change and disturbance including bushfires, climate change and extremes and species invasion. Using data from forest plots and animal movement, we aim to understan ....Modelling dynamics in spatial ecology. This project addresses how birth, death and movement drive patterns of plants and animals in space and time. We aim to apply and extend dynamical statistical models grounded in theory. Dynamical models are needed for us to understand how species and ecological communities respond to environmental change and disturbance including bushfires, climate change and extremes and species invasion. Using data from forest plots and animal movement, we aim to understand influences on individuals and species, and how to use that to generate robust predictions. The project is expected to produce statistical models and software for use by ecologists. This should help predict, and manage, ecological impacts of environmental change and disturbances.Read moreRead less