Species redundancy in response to multiple disturbances. This project aims to elucidate how the context within which disturbances occur affects food web linkages and how these map to responses in ecosystem function. There is a critical need to test the common assumption in environmental management that high biodiversity makes ecosystems resilient to disturbances. Studies that merely observe biodiversity change after disturbance cannot identify ecological processes connecting high diversity and e ....Species redundancy in response to multiple disturbances. This project aims to elucidate how the context within which disturbances occur affects food web linkages and how these map to responses in ecosystem function. There is a critical need to test the common assumption in environmental management that high biodiversity makes ecosystems resilient to disturbances. Studies that merely observe biodiversity change after disturbance cannot identify ecological processes connecting high diversity and ecosystem function, making experiments that manipulate identical disturbances in ecosystems with different biodiversity essential. This project will use field experiments that manipulate disturbances in streams replicated in low and high biodiversity regions and across gradients of chronic background stress to show how biodiversity sustains functional ecosystems, and how much diversity can be lost before ecosystems collapse.Read moreRead less
Industrial Transformation Research Hubs - Grant ID: IH180100002
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. Thes ....ARC Research Hub for Driving Farming Productivity and Disease Prevention. The ARC Research Hub for Driving Farming Productivity and Disease Prevention aims to increase farm production and disease prevention through advancing and transferring new artificial intelligence technologies into industrial deployment. The Hub will combine machine vision, machine learning, software quality control, engineering, biology, and farming industries to develop technologies to build more intelligent systems. These dynamic systems will help determine what goal to achieve and the most efficient plan to achieve it. This Hub is expected to contribute to higher farming efficiency, lower production costs and fewer disease risks, giving the Australian industry new business opportunities and an international competitive advantage.Read moreRead less
Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geop ....Three-dimensional Bayesian Modelling of Geological and Geophysical data. The project aims to develop technologies enabling rapid informed decision-making related to the management of natural resources, including critical metals, copper and water. This new technology will support a greener future, securing our energy future, our access to clean water and reduce the mining footprint. Expected outcomes include an enhanced capability in interoperable, integrated three-dimensional geological and geophysical modelling in order to predictively characterise sub-surface geology. The outcome will be an open-source forecasting dashboard enabling decision making while considering underlying risk related to resource extractions and management with significant benefits to the Australian society (lower emissions, clean water).Read moreRead less
Utilising plant-sediment-feedbacks to enhance seagrass restoration. This project aims to investigate the role of sediment microbes in promoting the health of threatened seagrass species across Australia. This project expects to create new knowledge for enhancing restoration success for seagrasses by integrating macro and micro-ecology, environmental genomics, plant ecology and ecosystem function (e.g. nutrient and biogeochemistry cycling). Expected outcomes are new knowledge to enhance seagrass ....Utilising plant-sediment-feedbacks to enhance seagrass restoration. This project aims to investigate the role of sediment microbes in promoting the health of threatened seagrass species across Australia. This project expects to create new knowledge for enhancing restoration success for seagrasses by integrating macro and micro-ecology, environmental genomics, plant ecology and ecosystem function (e.g. nutrient and biogeochemistry cycling). Expected outcomes are new knowledge to enhance seagrass restoration utilising sediment microbes that can be integrated into management and policy. This project should provide significant benefits, such as the development of key strategic alliances to enhance management of seagrasses, and the ecosystem services, and economic and social benefits they provide.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC230100016
Funder
Australian Research Council
Funding Amount
$5,000,000.00
Summary
ARC Training Centre in Predictive Breeding for Agricultural Futures. This Centre aims to develop the advanced capacity needed to secure Australia’s food and fibre production and export value into the future. Leveraging immense industry support, the Centre expects to develop and integrate cutting-edge plant and animal breeding technologies and deliver world-class training that addresses critical demand for highly skilled industry leaders. Expected outcomes include a future-ready predictive breedi ....ARC Training Centre in Predictive Breeding for Agricultural Futures. This Centre aims to develop the advanced capacity needed to secure Australia’s food and fibre production and export value into the future. Leveraging immense industry support, the Centre expects to develop and integrate cutting-edge plant and animal breeding technologies and deliver world-class training that addresses critical demand for highly skilled industry leaders. Expected outcomes include a future-ready predictive breeding industry able to transform data into optimised decisions, and the human capacity to drive it. This should provide significant benefits to enhance the sustainability and profitability of all major Australian agriculture sectors, including livestock, grains, horticulture, cotton, wine, dairy, forestry and fisheries.Read moreRead less