Linking risks to ecosystems with risks to human well-being. This project aims to provide theory and practical guidelines to integrate ecosystem science into policy and action to address human well-being. Ecosystem risk assessment provides critical information for conservation, and has compelling but unexplored relationships with human health and nature’s benefits to people. The research will identify ecosystem measures that highlight areas of risk to human well-being as well as biodiversity. Exp ....Linking risks to ecosystems with risks to human well-being. This project aims to provide theory and practical guidelines to integrate ecosystem science into policy and action to address human well-being. Ecosystem risk assessment provides critical information for conservation, and has compelling but unexplored relationships with human health and nature’s benefits to people. The research will identify ecosystem measures that highlight areas of risk to human well-being as well as biodiversity. Expected outcomes include new standards for including ecosystem change in policy frameworks globally and in Australia, such as natural capital accounting and United Nations Sustainable Development Goals. Benefits include improved ways of meeting and tracking progress on Australia’s international commitments.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130101046
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Ecotoxicology-on-a-chip: towards smart devices in environmental biomonitoring. High-throughput water quality monitoring is of great importance to the wellbeing of Australian society. The project will address this issue by developing new economical miniaturised biocybernetic instrumentation, designed for use by non-specialists and thus applicable for governmental, industrial and community projects.
Integrating satellite observations into environmental accounts. Accounting for biomass, water and ecosystem helps to manage and protect Australia's natural capital. Existing data provide only limited information, but this project will build on recent advances in satellite observation and model-data fusion technology to produce national accounts with unprecedented detail, for each year since 1990.
Biodiversity indicators for better conservation decisions. This project aims to test, design and select biodiversity indicators to support conservation. Reliable and sensitive biodiversity indicators are critical to track progress towards conservation targets, but the ability of most biodiversity indicators to reveal trends needed by decision-makers is untested. This project will test indicators to monitor biodiversity change at local to global scales, by sampling ecosystem models to evaluate ho ....Biodiversity indicators for better conservation decisions. This project aims to test, design and select biodiversity indicators to support conservation. Reliable and sensitive biodiversity indicators are critical to track progress towards conservation targets, but the ability of most biodiversity indicators to reveal trends needed by decision-makers is untested. This project will test indicators to monitor biodiversity change at local to global scales, by sampling ecosystem models to evaluate how indicator design, data bias and environmental variability affect performance. Project outcomes are expected to ensure that that data collected to monitor and assess the state of Australia’s environment are informative, cost-effective and robust. This is expected to have implications for predicting and measuring effects of policy such as the Convention on Biological Diversity.Read moreRead less
Establishing advanced networks for air quality sensing and analyses. Establishing advanced networks for air quality sensing and analyses. This project aims to develop innovative, cost-effective, high resolution air quality networks. Recent developments in sensor technologies improve the ability to harvest atmospheric data. This project will develop, validate and implement methods for high sensitivity atmospheric sensing and apply cutting-edge statistical and analytic techniques to the data sets, ....Establishing advanced networks for air quality sensing and analyses. Establishing advanced networks for air quality sensing and analyses. This project aims to develop innovative, cost-effective, high resolution air quality networks. Recent developments in sensor technologies improve the ability to harvest atmospheric data. This project will develop, validate and implement methods for high sensitivity atmospheric sensing and apply cutting-edge statistical and analytic techniques to the data sets, unprecedented in scope and resolution. Outcomes include an open access database to quantify and visualise intra-urban air pollution and human exposure and develop air quality maps and smoke pollution management tools. It is expected to advance the evidence-based management of air as a resource, increasing economic prosperity and enhancing human health and quality of life.Read moreRead less
From hazard identification to risk management. From hazard identification to risk management. This project aims to explore health risks from water- and sediment-borne bacteria to recreational users of urban rivers, using a suite of novel molecular microbiological and in-vitro assays and microbial risk assessment modelling. This project also aims to develop source tracking methods to mitigate and manage these risks. The number of bacterial-related water-borne outbreaks associated with recreationa ....From hazard identification to risk management. From hazard identification to risk management. This project aims to explore health risks from water- and sediment-borne bacteria to recreational users of urban rivers, using a suite of novel molecular microbiological and in-vitro assays and microbial risk assessment modelling. This project also aims to develop source tracking methods to mitigate and manage these risks. The number of bacterial-related water-borne outbreaks associated with recreational activities is rising, but waterway managers are under pressure to re-open these rivers for recreation. The project is expected to benefit urban communities by ensuring waterway managers make informed decisions about river recreation.Read moreRead less
Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the c ....Airborne ultrafine particles in Australian cities. There is an acute deficiency of knowledge in Australia on urban airborne ultrafine particles, originating from transport and other anthropogenic sources, which pose significant health and environmental risks. The aim of this project is to address this deficiency by an extensive multi-city, cross-disciplinary study using state of the art instrumentation and data analytic techniques. The outcome will be an in depth, quantitative insight into the characteristics of the particles, their sources and spatial and temporal variation across different urban areas and time scales. Further, the impacts of changing fuels, vehicle technologies, and climate on future trends of the particles will be elucidated.Read moreRead less
Revolutionising water-quality monitoring in the information age. In today’s information age, automated low-cost sensors distributed in the environment have the potential to revolutionise the way we monitor and manage air, water and soil. This project aims to develop novel statistical methods to detect anomalies in the data generated from these in-situ sensors with computationally efficient modelling on river networks through space and time, with the applied goals of automating anomaly detection ....Revolutionising water-quality monitoring in the information age. In today’s information age, automated low-cost sensors distributed in the environment have the potential to revolutionise the way we monitor and manage air, water and soil. This project aims to develop novel statistical methods to detect anomalies in the data generated from these in-situ sensors with computationally efficient modelling on river networks through space and time, with the applied goals of automating anomaly detection in water-quality data and generating predictions of sediment and nutrient concentrations throughout river networks in near-real time. This will represent a fundamental increase in scientific knowledge, which will be immediately useful in the domains of aquatic science, environmental monitoring, and statistics.Read moreRead less
Predicting water quality at the catchment scale: learning from two decades of monitoring. Poor water quality affects many rivers and receiving waters such as the Great Barrier Reef and Gippsland Lakes. This project aims to use Bayesian hierarchical models of statewide water quality data to quantify the effects of a range of factors on stream water quality including climate, land use, river flow, vegetation cover, etcetera. The analysis intends to extract information from the entire data set rath ....Predicting water quality at the catchment scale: learning from two decades of monitoring. Poor water quality affects many rivers and receiving waters such as the Great Barrier Reef and Gippsland Lakes. This project aims to use Bayesian hierarchical models of statewide water quality data to quantify the effects of a range of factors on stream water quality including climate, land use, river flow, vegetation cover, etcetera. The analysis intends to extract information from the entire data set rather than concentrating on individual sites. It intends to underpin a new predictive capacity including response to land use and management changes and climatic variations based on long-term data sets, as well as a water quality prediction capability. It is intended that the models developed will jointly model a range of inter-related water quality parameters.Read moreRead less
Finding lost dust storms: re-evaluation of the last 20 years of meteorological records to advance wind erosion mapping in Australia. The Dust Event Database (DEDB) at Griffith University is the only long term (1960 - present) record of wind erosion in Australia. It is used in many studies of the impact of dust on the terrestrial, atmospheric and marine environments as well as in studies of urban and regional air pollution and environmental health. Through this project, the revision of the DEDB w ....Finding lost dust storms: re-evaluation of the last 20 years of meteorological records to advance wind erosion mapping in Australia. The Dust Event Database (DEDB) at Griffith University is the only long term (1960 - present) record of wind erosion in Australia. It is used in many studies of the impact of dust on the terrestrial, atmospheric and marine environments as well as in studies of urban and regional air pollution and environmental health. Through this project, the revision of the DEDB will provide new knowledge on these impacts of wind erosion processes and will inform environmental policy through its contributions to the Caring for Our Country Program, the national State of the Environment, and the Australian Centre for Rangeland Information Systems.Read moreRead less