Shallow water carbonate sediment dissolution in the global carbon cycle. Carbonate sediment dissolution is a globally significant process, but poorly understood in shallow marine waters. This project will determine whether the combined effect of organic matter, ocean acidification and pore water flow in shallow water carbonate sediments increases the release of calcium and alkalinity to the ocean. This project is significant because this release has not previously been accounted for and may lead ....Shallow water carbonate sediment dissolution in the global carbon cycle. Carbonate sediment dissolution is a globally significant process, but poorly understood in shallow marine waters. This project will determine whether the combined effect of organic matter, ocean acidification and pore water flow in shallow water carbonate sediments increases the release of calcium and alkalinity to the ocean. This project is significant because this release has not previously been accounted for and may lead to an additional uptake of atmospheric carbon dioxide into the global ocean, maybe some additional buffering against ocean acidification, but unfortunately, maybe also a loss of carbonate ecosystems. The outcomes of this project will make a significant contribution to our understanding of the global carbon cycle.
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Can eco-evolutionary theories explain outcomes of microbiome coalescence . Environmental microbial communities are among the most abundant and diverse natural communities, responsible for many ecologically and economically important ecosystem functions, including primary productivity and climate regulation. This project aims to identify the biotic and abiotic factors that regulate community and functional outcomes of microbiome coalescence (the mixing of two different communities) caused by natu ....Can eco-evolutionary theories explain outcomes of microbiome coalescence . Environmental microbial communities are among the most abundant and diverse natural communities, responsible for many ecologically and economically important ecosystem functions, including primary productivity and climate regulation. This project aims to identify the biotic and abiotic factors that regulate community and functional outcomes of microbiome coalescence (the mixing of two different communities) caused by natural and anthropogenic activities. The outcomes will provide a unifying ecological framework to predict variation in microbiomes across different scales, ecosystem types and disturbances, and will generate critical knowledge for the development of effective microbiome products, a rapidly growing industryRead moreRead less
Placental nutrient transport shows how complex traits evolve. This project aims to use amino acid transport in the vertebrate placenta as a model to demonstrate how genes are recruited and modified to produce a major organ. Using an innovative combination of a new technology, selected reaction monitoring, and transcriptomic and molecular approaches, plus carefully selected Australian species pairs, this project will study the evolution of a complex trait (placental amino acid transport). The pr ....Placental nutrient transport shows how complex traits evolve. This project aims to use amino acid transport in the vertebrate placenta as a model to demonstrate how genes are recruited and modified to produce a major organ. Using an innovative combination of a new technology, selected reaction monitoring, and transcriptomic and molecular approaches, plus carefully selected Australian species pairs, this project will study the evolution of a complex trait (placental amino acid transport). The project will provide fundamental advances in our knowledge of the nutrient transport during pregnancy that is required to produce a healthy baby.Read moreRead less
Multitrophic interactions drive diversity-ecosystem function relationships. Soil communities, among the most abundant and diverse in nature are responsible for many critical ecosystem functions, including nutrient cycling and climate regulation. This project will determine whether consideration and quantification of interactions between different biotic communities – specifically among plants, soil microbes and animals, within and across trophic levels - can address underlying shortcomings in pr ....Multitrophic interactions drive diversity-ecosystem function relationships. Soil communities, among the most abundant and diverse in nature are responsible for many critical ecosystem functions, including nutrient cycling and climate regulation. This project will determine whether consideration and quantification of interactions between different biotic communities – specifically among plants, soil microbes and animals, within and across trophic levels - can address underlying shortcomings in predictions from classical biodiversity-ecosystem function theory. By advancing understanding of biological complexity and its impacts on ecosystem functions, the project will provide a unifying framework for understanding variation in ecosystem functions across scales, ecosystem types and multiple environmental disturbances.Read moreRead less
Congestion control in complex networks with higher-order interactions. Traffic congestion significantly costs the Australian economy and environment. This project aims to develop ground-breaking network models of urban traffic systems to build a new congestion control framework. The purpose of network modelling is to capture the interdependence between different parts of traffic systems, which facilitates studying congestion cascade within the network. The project expects to generate next genera ....Congestion control in complex networks with higher-order interactions. Traffic congestion significantly costs the Australian economy and environment. This project aims to develop ground-breaking network models of urban traffic systems to build a new congestion control framework. The purpose of network modelling is to capture the interdependence between different parts of traffic systems, which facilitates studying congestion cascade within the network. The project expects to generate next generation of network models for more effective congestion control. Expected outcomes include novel congestion control technologies that adjust traffic signals in real-time to optimally utilise the available road space. This should provide significant economic and environmental benefits to Australians by easing traffic jams.Read moreRead less
Tree-mediated methane fluxes: A new frontier in the global carbon cycle. Methane is an extremely potent greenhouse gas. Recent evidence suggests that tree-mediated fluxes may be a significant, but overlooked source of methane to the atmosphere. This project aims to quantify the magnitude and drivers of tree-mediated methane fluxes from Australia’s dominant forest types. Innovatively, we will be using a novel combination of empirical field based measurements, gas tracer experiments, microbial ana ....Tree-mediated methane fluxes: A new frontier in the global carbon cycle. Methane is an extremely potent greenhouse gas. Recent evidence suggests that tree-mediated fluxes may be a significant, but overlooked source of methane to the atmosphere. This project aims to quantify the magnitude and drivers of tree-mediated methane fluxes from Australia’s dominant forest types. Innovatively, we will be using a novel combination of empirical field based measurements, gas tracer experiments, microbial analysis and modelling methods. Expected outcomes are a mechanistic understanding of tree-mediated methane fluxes, helping to constrain regional, national and global methane budgets. The results of this study will help inform publicly funded greenhouse gas abatement strategies, ensuring a maximal return on investment.Read moreRead less
Promoting transition metal complex catalysis with plasmonic antennae. This project aims to apply visible light photocatalysis to a wide range of chemical reactions by utilizing the intriguing effects of intense light absorption by plasmonic metal nanoparticles, such as generating energetic electrons, changing reactant adsorption and the chemical binding of reactant with the catalyst. These effects will promote catalysis at surface-bound metal complex reaction sites under mild reaction conditions ....Promoting transition metal complex catalysis with plasmonic antennae. This project aims to apply visible light photocatalysis to a wide range of chemical reactions by utilizing the intriguing effects of intense light absorption by plasmonic metal nanoparticles, such as generating energetic electrons, changing reactant adsorption and the chemical binding of reactant with the catalyst. These effects will promote catalysis at surface-bound metal complex reaction sites under mild reaction conditions. This is a part of our long-term effort to transform chemical production by heating into green photocatalytic process. This project expects to generate knowledge crucial for developing theories for catalysis, the design of efficient catalysts, green chemical synthesis methods, and enhance international collaboration.Read moreRead less
A Midas touch for electrophiles in new reaction development. This project aims to address the lack of knowledge about how high-value organic molecules are formed in gold-catalysed reactions by advancing a novel mode of catalysis. This project expects to generate new knowledge about these gold-catalysed reactions using an innovative, interdisciplinary approach incorporating computational and synthetic techniques. Expected outcomes of this project include the optimisation and development of import ....A Midas touch for electrophiles in new reaction development. This project aims to address the lack of knowledge about how high-value organic molecules are formed in gold-catalysed reactions by advancing a novel mode of catalysis. This project expects to generate new knowledge about these gold-catalysed reactions using an innovative, interdisciplinary approach incorporating computational and synthetic techniques. Expected outcomes of this project include the optimisation and development of important organic reactions and enhancing collaboration nationally and internationally between computational and synthetic chemists. This should provide significant benefits in the form of improved chemical reactions for chemists to prepare new pharmaceuticals, agrochemicals and materials.Read moreRead less
High-resolution multiscale modelling of pandemics: COVID-19 and beyond. The project aims to develop high-resolution computational models for pandemic mitigation and control, focussing on the novel coronavirus and its emerging variants, and leveraging demographic, genomic and epidemiological data. It expects to rigorously compare multi-scale effects of complex vaccination and social distancing strategies and quantify optimal responses under the COVID-19 induced uncertainty. The intended outcomes ....High-resolution multiscale modelling of pandemics: COVID-19 and beyond. The project aims to develop high-resolution computational models for pandemic mitigation and control, focussing on the novel coronavirus and its emerging variants, and leveraging demographic, genomic and epidemiological data. It expects to rigorously compare multi-scale effects of complex vaccination and social distancing strategies and quantify optimal responses under the COVID-19 induced uncertainty. The intended outcomes include computational models of how the most infectious viral variants emerge and spread in presence of interventions, how to predict the outbreaks, and which are the most vulnerable communities. This should make a significant economic and social impact, improving population health while maintaining a resilient economy.Read moreRead less
Quantifying emergence and dynamics of foodborne epidemics in Australia. The project aims to greatly improve the accuracy and scope of computational epidemiological models predicting emergence and evolution of foodborne diseases in Australia. It expects to reveal key pathways for both biological evolution of microorganisms, and their spread though food supply chains and human interactions. The intended outcomes include discovering how the most dominant strains of foodborne infection emerge and se ....Quantifying emergence and dynamics of foodborne epidemics in Australia. The project aims to greatly improve the accuracy and scope of computational epidemiological models predicting emergence and evolution of foodborne diseases in Australia. It expects to reveal key pathways for both biological evolution of microorganisms, and their spread though food supply chains and human interactions. The intended outcomes include discovering how the most dominant strains of foodborne infection emerge and self-organise in complex networks, how to predict and contain the epidemics closer to their source, and which are the most vulnerable groups and communities. This should make a significant economic and social impact, improving health of the population, while also safeguarding national and international supply chains.Read moreRead less