Assessing absolute sustainability of global cities. The project aims to create a quantitative modelling framework for assessing the absolute sustainability of cities by combining global multi-region input-output analysis with the 'safe and just space' concept for human development. The model will allow assessment of the full supply chain environmental and social impacts of urban economic activities against biophysical planetary limits as well as social foundation thresholds defined in the litera ....Assessing absolute sustainability of global cities. The project aims to create a quantitative modelling framework for assessing the absolute sustainability of cities by combining global multi-region input-output analysis with the 'safe and just space' concept for human development. The model will allow assessment of the full supply chain environmental and social impacts of urban economic activities against biophysical planetary limits as well as social foundation thresholds defined in the literature. The project will advance sustainability science methodology and will greatly benefit worldwide initiatives for urban sustainability. Case studies on Australian cities will assess where interventions can be most practically, realistically and effectively implemented.Read moreRead less
Sustainable Australian food production within secure global supply chains. This project aims at exploring future pathways for the Australian food system to remain secure under future disruptive changes, environmentally and socially sustainable, and able to offer healthy food choices. It will reveal the connections among food supply chains, diets and human health, and portray a food system that achieves public health and sustainability goals while positioning Australia securely into the global su ....Sustainable Australian food production within secure global supply chains. This project aims at exploring future pathways for the Australian food system to remain secure under future disruptive changes, environmentally and socially sustainable, and able to offer healthy food choices. It will reveal the connections among food supply chains, diets and human health, and portray a food system that achieves public health and sustainability goals while positioning Australia securely into the global supply chain network. These goals will be achieved by creating the Australian Food Lab, which will provide a collaborative research platform for environmental scientists, economists, public health experts, and food industry representatives for investigating issues pertaining to the future of our food system.Read moreRead less
STEM education: Student attitudes, teacher relationships & emotional climate. This project aims to improve science, technology, engineering and mathematics (STEM) outcomes in schools, especially among females. This study will develop and validate a questionnaire to assess classroom emotional climate and investigate its mediating influence on teacher-student interactions and students’ effective outcomes. Focus groups will provide input into the interpretation and triangulation of questionnaire f ....STEM education: Student attitudes, teacher relationships & emotional climate. This project aims to improve science, technology, engineering and mathematics (STEM) outcomes in schools, especially among females. This study will develop and validate a questionnaire to assess classroom emotional climate and investigate its mediating influence on teacher-student interactions and students’ effective outcomes. Focus groups will provide input into the interpretation and triangulation of questionnaire findings and permit causal inferences. Expected outcomes include practical, research-based guidance to teachers for enhancing classroom emotional climate and motivating further study in STEM disciplines.Read moreRead less
Modern statistical methods for clustering community ecology data. This project will develop statistical methods and software for clustering community ecology data, and use them to analyse systematic survey and citizen science program data collected along the Great Barrier Reef. By doing so, the project will address the dearth of statistical classification techniques for high-dimensional, multi-response data with complex relationships. When the resultant clustering methods are used to construct b ....Modern statistical methods for clustering community ecology data. This project will develop statistical methods and software for clustering community ecology data, and use them to analyse systematic survey and citizen science program data collected along the Great Barrier Reef. By doing so, the project will address the dearth of statistical classification techniques for high-dimensional, multi-response data with complex relationships. When the resultant clustering methods are used to construct bioregions and characterise species’ environmental responses, they should significantly enhance evaluations of the impact of human activity and environmental change on coral diversity. Ultimately, these evaluations can underpin future decisions in the conservation and management of the Great Barrier Reef.Read moreRead less
eGenomics - Next generation biomonitoring of threatened species. DNA is the molecule of life and exists everywhere in the environment as a largely untapped source of information on evolution, biodiversity, and ecosystem health. Our overriding aim is to start mining that information to benefit threatened species. Based on optimized ancient DNA methods, powerful sequencing technology, whole genome analyses, and RNA profiling, we present a novel and holistic framework for genetic biomonitoring. In ....eGenomics - Next generation biomonitoring of threatened species. DNA is the molecule of life and exists everywhere in the environment as a largely untapped source of information on evolution, biodiversity, and ecosystem health. Our overriding aim is to start mining that information to benefit threatened species. Based on optimized ancient DNA methods, powerful sequencing technology, whole genome analyses, and RNA profiling, we present a novel and holistic framework for genetic biomonitoring. In two parallel model systems we will study corals and reptiles to improve environmental detection while simultaneously obtaining information on their population health. This will foster more efficient conservation of endangered species that are of tremendous importance to our marine and terrestrial ecosystems.Read moreRead less
Improved management of marine habitats by learning from historical change. This project aims to greatly improve the cost-effectiveness of actions to protect and restore shallow subtidal marine habitats by quantifying the severity and distribution of recent human impacts. Environmental change will be quantified as the difference between contemporary and historical assemblages encompassing thousands of invertebrate species, and by reading historical chronicles coded by mollusc shells layered in se ....Improved management of marine habitats by learning from historical change. This project aims to greatly improve the cost-effectiveness of actions to protect and restore shallow subtidal marine habitats by quantifying the severity and distribution of recent human impacts. Environmental change will be quantified as the difference between contemporary and historical assemblages encompassing thousands of invertebrate species, and by reading historical chronicles coded by mollusc shells layered in sediments. The roles of different stressors (warming, dredging, eutrophication, introduced species, sediment runoff) will be distinguished. Expected outcomes include continental-scale understanding of factors that facilitate ecosystem decline and recovery, and of sites and species traits most affected by ongoing threats.Read moreRead less
Predicting interactive effects of multiple stressors on marine ecosystems. This project aims to create an innovative model to predict how multiple stressors interact to affect marine ecosystems across large spatial scales. The interactive effects of multiple stressors are poorly quantified in the marine environment, and natural resource managers are not able to confidently incorporate these complex interactions into prioritising management efforts in space and time. The project intends to devel ....Predicting interactive effects of multiple stressors on marine ecosystems. This project aims to create an innovative model to predict how multiple stressors interact to affect marine ecosystems across large spatial scales. The interactive effects of multiple stressors are poorly quantified in the marine environment, and natural resource managers are not able to confidently incorporate these complex interactions into prioritising management efforts in space and time. The project intends to develop models that will predict, a-priori, the type of interactions that may occur. This should enable ecosystem managers to better prioritise actions to more effectively conserve valuable and threatened marine ecosystems.Read moreRead less
Impact of redox condition on emerging contaminants fate. This project aims to improve our ability to predict the environmental drivers that control the fate of contaminants of emerging concern in the subsurface. Emerging contaminants are a concern due to their potential negative ecosystem and health outcomes. Prediction of their environmental fate will be of benefit as it will help ensure the safety of our drinking water sources and ensure that water sources are fit for purpose. With increasing ....Impact of redox condition on emerging contaminants fate. This project aims to improve our ability to predict the environmental drivers that control the fate of contaminants of emerging concern in the subsurface. Emerging contaminants are a concern due to their potential negative ecosystem and health outcomes. Prediction of their environmental fate will be of benefit as it will help ensure the safety of our drinking water sources and ensure that water sources are fit for purpose. With increasing pressure on our precious water resources prediction of the risks to this resource is essential. Expected outcomes are of significance as they will include a much improved ability to predict and control the ultimate fate of emerging contaminants in our water sources.Read moreRead less
Predicting biodiversity distribution on the Antarctic continental shelf. This project aims to develop an international database of underwater observations to predict the distribution of seafloor biodiversity over the entire Antarctic continental shelf for the present day and to 2100. Antarctic seafloor communities are unique and highly diverse, but their distribution is poorly known because biological data are sparse. These predictions depend on a unique and validated approach to estimate the pr ....Predicting biodiversity distribution on the Antarctic continental shelf. This project aims to develop an international database of underwater observations to predict the distribution of seafloor biodiversity over the entire Antarctic continental shelf for the present day and to 2100. Antarctic seafloor communities are unique and highly diverse, but their distribution is poorly known because biological data are sparse. These predictions depend on a unique and validated approach to estimate the present and future redistribution of surface primary production to the seafloor, and will enable calculating the amount of atmospheric carbon captured and stored at the seafloor. The maps will be at an unprecedented resolution of around 2 kilometres, and be invaluable tools underpinning policy, management and future science.Read moreRead less
Zooplankton and ocean productivity in a changing climate. The scarcity of iron in the Southern Ocean limits biological productivity and carbon uptake. There is currently very little Information on zooplankton iron content, yet available data points to high variability. This variability is leading to poor predictive outcomes for models of Southern Ocean iron and carbon cycling. Our project addresses this knowledge gap by quantifying zooplankton iron content and examining its biogeochemical and ec ....Zooplankton and ocean productivity in a changing climate. The scarcity of iron in the Southern Ocean limits biological productivity and carbon uptake. There is currently very little Information on zooplankton iron content, yet available data points to high variability. This variability is leading to poor predictive outcomes for models of Southern Ocean iron and carbon cycling. Our project addresses this knowledge gap by quantifying zooplankton iron content and examining its biogeochemical and ecological impact on Southern Ocean productivity. Developing an understanding of how iron is cycled through zooplankton will provide significant benefits including improved global models used to quantify current and future patterns of ocean productivity critical for environmental and economic predictions.Read moreRead less