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
Adaptive management of native vegetation condition. Environmental managers face severe uncertainty about how to best restore native habitats. This project will develop an adaptive strategy to improve vegetation management decisions by integrating expert knowledge with monitoring. This will improve the efficiency of management and provide an example of 'learning by doing' in two case study regions.
Diagnosing river health using invertebrate traits and DNA barcodes. Diagnosing river health using invertebrate traits and DNA barcodes. This project aims to develop indices that link change in invertebrate communities to specific environmental stressors, and combine these indices with innovative, low cost molecular approaches to species identification to rapidly identify the causes of decline. River health assessment methods, usually based on aquatic invertebrates, identify if rivers are impaire ....Diagnosing river health using invertebrate traits and DNA barcodes. Diagnosing river health using invertebrate traits and DNA barcodes. This project aims to develop indices that link change in invertebrate communities to specific environmental stressors, and combine these indices with innovative, low cost molecular approaches to species identification to rapidly identify the causes of decline. River health assessment methods, usually based on aquatic invertebrates, identify if rivers are impaired but must be developed to identify the causes of decline. The intended outcomes are improved sustainable water resource management within and among states, and improved natural resource policy development.Read moreRead less
Taking eDNA underground: transforming assessment of subterranean ecosystems. This project aims to improve Environmental Impact Assessment and monitoring of subterranean ecosystems by developing a rigorous, credible and practicable environmental DNA assessment framework. Resource companies in Western Australia are mandated to assess groundwater biodiversity under Environmental Protection legislation. Current surveys are time-consuming (expensive) and biased toward common taxa. For regulators, sta ....Taking eDNA underground: transforming assessment of subterranean ecosystems. This project aims to improve Environmental Impact Assessment and monitoring of subterranean ecosystems by developing a rigorous, credible and practicable environmental DNA assessment framework. Resource companies in Western Australia are mandated to assess groundwater biodiversity under Environmental Protection legislation. Current surveys are time-consuming (expensive) and biased toward common taxa. For regulators, stakeholders and industry involved in this project we will provide real-world information and cost savings through innovation in understanding patterns in species boundaries and detection of subterranean fauna. The outcomes will be directly applicable to monitoring subterranean ecosystems across Australia and internationally.Read moreRead less
Gaining insights into mine waste dumps to avoid environmental legacies. The project aims to develop new methods for identifying pollution source hotspots and pathways inside mine waste rock dumps. This addresses the national need for effective management of Acid and Metalliferous Drainage (AMD), which is now a critical consideration in the viability of new mines and in confronting pollution legacies of old mines. The research will develop and test innovative methods of geophysical and geochemica ....Gaining insights into mine waste dumps to avoid environmental legacies. The project aims to develop new methods for identifying pollution source hotspots and pathways inside mine waste rock dumps. This addresses the national need for effective management of Acid and Metalliferous Drainage (AMD), which is now a critical consideration in the viability of new mines and in confronting pollution legacies of old mines. The research will develop and test innovative methods of geophysical and geochemical analysis and their integration that provide 3-dimensional mapping of key physical and chemical features of the dump. Expected outcomes include greater confidence in the ability of the mining industry to manage its AMD liability. Read moreRead less
Advancing vegetation classification and mapping to meet conservation needs. The project aims to develop advanced statistical and modelling techniques to classify and map vegetation over very large areas, using the most extensive and detailed vegetation data set in Australia and new methods to evaluate these classifications. Such classifications and maps provide the data needed to make biodiversity conservation decisions, yet current operational methods are limited over very large areas, and cann ....Advancing vegetation classification and mapping to meet conservation needs. The project aims to develop advanced statistical and modelling techniques to classify and map vegetation over very large areas, using the most extensive and detailed vegetation data set in Australia and new methods to evaluate these classifications. Such classifications and maps provide the data needed to make biodiversity conservation decisions, yet current operational methods are limited over very large areas, and cannot deal with varied sources of uncertainty. Expected outcomes and benefits include a fine-scale vegetation classification and map for almost a million square kilometres, and associated analytical tools and guidelines for large-scale vegetation classification and global mapping.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
A novel and theoretically consistent method for correcting systematic errors in earth observation data and earth system model results. For a correct interpretation of satellite-based earth observation data and/or Earth system model results, it is very important that these data are free of systematic errors, commonly referred to as bias. It is well known that both these data sources are prone to a significant bias, which is currently neglected in many environmental impact and prediction studies. ....A novel and theoretically consistent method for correcting systematic errors in earth observation data and earth system model results. For a correct interpretation of satellite-based earth observation data and/or Earth system model results, it is very important that these data are free of systematic errors, commonly referred to as bias. It is well known that both these data sources are prone to a significant bias, which is currently neglected in many environmental impact and prediction studies. This project will present a method to develop models for these biases. A state update technique, the Ensemble Kalman Filter, will be adapted to correctly take into account bias in the merging of the two data sources. The project outcomes will be of high importance for long-term environmental studies, since these strongly rely on physically-based models and remote sensing data.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE130100040
Funder
Australian Research Council
Funding Amount
$450,000.00
Summary
Integrated Greenhouse Gas Measurement System (IGMS) for monitoring agricultural emissions at field to regional scales. Measurement of greenhouse gases is critical to Australia’s obligations to reduce carbon emissions. The measurement facility will provide urgently needed accurate emission data from Australian agriculture to establish emission baselines and develop methods to extend the point-scale measurements to whole farm, regional and national scales.