Ecosystem risk assessment. This project aims to develop a type-based framework for the world's ecosystems, and undertake the first broad-scale global risk assessment for ecosystems. It will include detailed Australian risk assessments and scenario analyses to develop sustainable management of ecosystem services and climate adaptation strategies. The outcomes include a global-scale framework for classifying terrestrial, freshwater and marine ecosystems, the first global Red List of Ecosystems and ....Ecosystem risk assessment. This project aims to develop a type-based framework for the world's ecosystems, and undertake the first broad-scale global risk assessment for ecosystems. It will include detailed Australian risk assessments and scenario analyses to develop sustainable management of ecosystem services and climate adaptation strategies. The outcomes include a global-scale framework for classifying terrestrial, freshwater and marine ecosystems, the first global Red List of Ecosystems and identified priorities for protecting remaining wild ecosystems and restoring those that have suffered degradation. This will help meet UN Sustainable Development Goals to improve human well-being globally.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE170100219
Funder
Australian Research Council
Funding Amount
$170,000.00
Summary
A multi-institutional environmental radioactivity research centre. This project aims to establish an environmental radioactivity research centre, equipped with ultra-low background and high-resolution alpha and gamma spectrometry systems, radon detectors and radium delayed coincidence counters. The centre will address a critical demand in Australia for precise analysis of a large suite of natural and artificial radionuclides, which will be used as tracers and chronological tools to investigate k ....A multi-institutional environmental radioactivity research centre. This project aims to establish an environmental radioactivity research centre, equipped with ultra-low background and high-resolution alpha and gamma spectrometry systems, radon detectors and radium delayed coincidence counters. The centre will address a critical demand in Australia for precise analysis of a large suite of natural and artificial radionuclides, which will be used as tracers and chronological tools to investigate key questions in oceanography and the mining and energy, archaeological, agricultural, and forestry sectors. The facility is expected to substantially increase expertise and training in radionuclides in Australia, and promote high-level research collaborations and outputs of both national and international significance. Major outcomes of the proposed facility include better understanding of how oceans regulate climate and improved capacity to assess effects of radiation on natural ecosystems.Read moreRead less
When every second counts: Multi-drone navigation in GPS-denied environments. The aim of this research is to develop a framework for multiple Unmanned Aerial Vehicles (UAV), that balances information sharing, exploration, localization, mapping, and other planning objectives thus allowing a team of UAVs to navigate in complex environments in time critical situations. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining Simultaneous Localizatio ....When every second counts: Multi-drone navigation in GPS-denied environments. The aim of this research is to develop a framework for multiple Unmanned Aerial Vehicles (UAV), that balances information sharing, exploration, localization, mapping, and other planning objectives thus allowing a team of UAVs to navigate in complex environments in time critical situations. This project expects to generate new knowledge in UAV navigation using an innovative approach by combining Simultaneous Localization and Mapping (SLAM) algorithms with Partially Observable Markov Decision Processes (POMDP) and Deep Reinforcement learning. This should provide significant benefits, such as more responsive search and rescue inside collapsed buildings or underground mines, as well as fast target detection and mapping under the tree canopy. Read moreRead less
Linking phytoplankton to fisheries using zooplankton size spectra. This project aims to develop innovative numerical methods to understand the dynamics, carbon export, and trophic structure of zooplankton. The trophic links between phytoplankton, zooplankton and fisheries are unknown. The size- frequency distribution of zooplankton (size spectrum) is an innovative method for estimating their growth, predation and production as food for fish. Analysis of a global synthesis of zooplankton size dis ....Linking phytoplankton to fisheries using zooplankton size spectra. This project aims to develop innovative numerical methods to understand the dynamics, carbon export, and trophic structure of zooplankton. The trophic links between phytoplankton, zooplankton and fisheries are unknown. The size- frequency distribution of zooplankton (size spectrum) is an innovative method for estimating their growth, predation and production as food for fish. Analysis of a global synthesis of zooplankton size distributions from tropical to polar environments are expected to reveal these vital rates of pelagic ecosystems. The zooplankton rates will reveal, for the first time, the link between phytoplankton and fisheries, and will significantly improve ecosystem models and global assessments of environmental change.Read moreRead less
Developing a geomorphological framework to underpin management decision-making on the Great Barrier Reef. The paucity of data on coral reef growth histories inhibits attempts to integrate regional reef growth data into coral reef management - despite the major influence on habitat type and diversity. This project will gather such data for one region of the Great Barrier Reef, and develop such datasets to support future reef management decision-making.
Innovative tools needed for market-based nutrient offsetting . This project will apply innovative approaches to develop a functional equivalency of nutrients from catchment versus point sources. This is fundamental knowledge needed for the successful application of nutrient offsetting. This market-based mechanism involves point source polluters choosing to pay for catchment restoration, which is offset against their nutrient discharge. Currently, despite its potential, there is a lack of confide ....Innovative tools needed for market-based nutrient offsetting . This project will apply innovative approaches to develop a functional equivalency of nutrients from catchment versus point sources. This is fundamental knowledge needed for the successful application of nutrient offsetting. This market-based mechanism involves point source polluters choosing to pay for catchment restoration, which is offset against their nutrient discharge. Currently, despite its potential, there is a lack of confidence in the scientific robustness of nutrient offsetting. The proposed new indicators in nutrient equivalency would provide the foundation needed to ensure that governments and industry can have the confidence to engage in nutrient trading schemes, ultimately ensuring environmental and social benefits.Read moreRead less
Why are complex habitats more diverse? This project aims to develop and test theory for the ubiquitous relationship between habitat complexity and biodiversity. Whether in forests, grasslands, kelp forests or coral reefs, habitat complexity is increasingly being flattened by natural and human-based processes. The project will integrate novel three-dimensional habitat models with established ecological theory, and then validate the theory on coral reefs that have undergone disturbances with diffe ....Why are complex habitats more diverse? This project aims to develop and test theory for the ubiquitous relationship between habitat complexity and biodiversity. Whether in forests, grasslands, kelp forests or coral reefs, habitat complexity is increasingly being flattened by natural and human-based processes. The project will integrate novel three-dimensional habitat models with established ecological theory, and then validate the theory on coral reefs that have undergone disturbances with different effects on complexity (cyclones and bleaching). This project will significantly advance the predictive capacity of biodiversity risk assessments of these threatened ecosystems and potentially others worldwide.Read moreRead less
Unravelling the drivers of greenhouse gas emissions in estuaries. The aim of this project is to understand and quantify the factors controlling the emission of carbon dioxide, methane and nitrous oxide from estuaries. Coastal systems play a disproportionately large role in the global emissions of greenhouse gases, but this is poorly quantified. The project plans to use a combination of continuous concentration and stable isotope measurements, process measurements and advanced numerical modelling ....Unravelling the drivers of greenhouse gas emissions in estuaries. The aim of this project is to understand and quantify the factors controlling the emission of carbon dioxide, methane and nitrous oxide from estuaries. Coastal systems play a disproportionately large role in the global emissions of greenhouse gases, but this is poorly quantified. The project plans to use a combination of continuous concentration and stable isotope measurements, process measurements and advanced numerical modelling across a range of undisturbed to disturbed systems. It is intended that this project will provide information for conceptualising, calibrating and verifying models, including green-house gas production. Good models, and the data that support them, such as that provided by this study, are critical for the efficient allocation of management resources in Australian coastal systems, including by our partners. The findings from this project will have direct implications to the management, rehabilitation and protection of waterways (including biodiversity) in Australia.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100101
Funder
Australian Research Council
Funding Amount
$417,068.00
Summary
Assessing risks to coastal ecosystems with new earth observation models. This project aims to quantify and diagnose the causes of declines in the world’s coastal wetland ecosystems. Unprecedented rates of loss have been reported in many coastal ecosystems, but there is a lack of knowledge regarding their distribution, status and trajectory at the global scale. The project will integrate earth observation, machine-learning and ecosystem risk assessment methods to deliver new high-resolution time- ....Assessing risks to coastal ecosystems with new earth observation models. This project aims to quantify and diagnose the causes of declines in the world’s coastal wetland ecosystems. Unprecedented rates of loss have been reported in many coastal ecosystems, but there is a lack of knowledge regarding their distribution, status and trajectory at the global scale. The project will integrate earth observation, machine-learning and ecosystem risk assessment methods to deliver new high-resolution time-series data, quantitative knowledge on the influence of social, economic and environmental factors on ecosystem loss, and predictions of different future states of coastal ecosystems. Key benefits include an improved ability to monitor and manage coastal ecosystems in Australia and globally.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