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Early Career Industry Fellowships - Grant ID: IE230100441
Funder
Australian Research Council
Funding Amount
$474,443.00
Summary
Sounds of change: using ecological knowledge to advance acoustic monitoring. To recover biodiversity, conservation actions must be informed by robust ecological data. In partnership with Bush Heritage Australia, this project aims to transform ecological monitoring with eco-acoustic technologies by developing new acoustic metrics to measure biodiversity at various levels, from individual species through to whole communities. This project will combine advanced computer methods with theories of ani ....Sounds of change: using ecological knowledge to advance acoustic monitoring. To recover biodiversity, conservation actions must be informed by robust ecological data. In partnership with Bush Heritage Australia, this project aims to transform ecological monitoring with eco-acoustic technologies by developing new acoustic metrics to measure biodiversity at various levels, from individual species through to whole communities. This project will combine advanced computer methods with theories of animal sounds and communities to generate metrics that are informed by animal ecology and directly address monitoring needs of conservation organisations. By experimentally testing the metrics on long-duration real-world sound data, this project will provide new tools to measure conservation impact and prioritise actions.Read moreRead less
Hotspots of endemism for invertebrate conservation in south-east Australia. The project aims to identify and predict hotspots of species endemism to guide conservation and restoration efforts. This work is significant in the current extinction crisis because endemic species (those unique to a region) are at higher risk of extinction due to human causes. The project will model the relationship of narrow range endemic species with contemporary and past environments, estimate the historical loss of ....Hotspots of endemism for invertebrate conservation in south-east Australia. The project aims to identify and predict hotspots of species endemism to guide conservation and restoration efforts. This work is significant in the current extinction crisis because endemic species (those unique to a region) are at higher risk of extinction due to human causes. The project will model the relationship of narrow range endemic species with contemporary and past environments, estimate the historical loss of species through land-clearing and fire, and predict future responses to climate change, to inform conservation planning. Lastly, it will test the efficacy of habitat transplants in restoring local invertebrate assemblages. Benefits include better informed conservation planning and new restoration approaches.Read moreRead less
The Macroderma initiative: conserving ghost bats and informing development. This project aims to improve methods for capturing biological information required for environmental assessments of highly mobile species and enable strategic environmental planning in Northern Australia. Using Australia’s iconic ghost bat as a focus, the project will test and apply emerging technologies to obtain key information on a species’ population status and its critical resources to inform assessments of ecologic ....The Macroderma initiative: conserving ghost bats and informing development. This project aims to improve methods for capturing biological information required for environmental assessments of highly mobile species and enable strategic environmental planning in Northern Australia. Using Australia’s iconic ghost bat as a focus, the project will test and apply emerging technologies to obtain key information on a species’ population status and its critical resources to inform assessments of ecological impacts of industry development. Important benefits of the project include information and tools for streamlining development approvals and accurately assessing risks to threatened species to improve outcomes for both our economy and our natural environment.Read moreRead less
New metrics to measure and track fauna community condition in Australia. This project aims to improve how biodiversity is measured by developing a system to describe the condition of animal communities, analogous to those used for plant communities. It develops and tests the system for Australia’s birds, then extends the approach to other animal groups. The project expects to develop a data-driven typology of bird communities, accompanying community condition metrics that are scalable from site ....New metrics to measure and track fauna community condition in Australia. This project aims to improve how biodiversity is measured by developing a system to describe the condition of animal communities, analogous to those used for plant communities. It develops and tests the system for Australia’s birds, then extends the approach to other animal groups. The project expects to develop a data-driven typology of bird communities, accompanying community condition metrics that are scalable from site to national levels, and guidance for using these metrics in practice. These metrics will enable holistic and relevant measures of the biodiversity value of sites, improve evaluation of restoration actions, reveal trends in community condition, and inform monitoring and evaluation tools for emerging biodiversity markets.Read moreRead less
Enabling wider use of mechanistic models for biodiversity forecasts . Forecasting species distributions is challenging yet necessary. The pattern-based models commonly used are error-prone. Mechanistic models, best equipped for the task, are limited by lack of data. This project aims to enable wider use of mechanistic models by developing new methods for dealing with incomplete trait data and uncertainty. It expects to generate new knowledge about how species’ traits define the environments in w ....Enabling wider use of mechanistic models for biodiversity forecasts . Forecasting species distributions is challenging yet necessary. The pattern-based models commonly used are error-prone. Mechanistic models, best equipped for the task, are limited by lack of data. This project aims to enable wider use of mechanistic models by developing new methods for dealing with incomplete trait data and uncertainty. It expects to generate new knowledge about how species’ traits define the environments in which they persist. Anticipated outcomes include enhanced capacity to apply mechanistic models to conservation problems, methods for communicating uncertainties and models for tens of species of immediate conservation interest. This will enable more reliable biodiversity forecasts, supporting better decision-making.
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More than a reserve? Measuring the benefits of private protected areas. This project aims to develop a framework for understanding the full suite of benefits derived from privately protected areas in Australia. It will develop and test a new interdisciplinary approach to measure the ecological, socio-cultural, and economic benefits of protected areas to both human and non-human beneficiaries. Outcomes will include a systematic process to effectively gather data, analyse, and report on the full s ....More than a reserve? Measuring the benefits of private protected areas. This project aims to develop a framework for understanding the full suite of benefits derived from privately protected areas in Australia. It will develop and test a new interdisciplinary approach to measure the ecological, socio-cultural, and economic benefits of protected areas to both human and non-human beneficiaries. Outcomes will include a systematic process to effectively gather data, analyse, and report on the full suite of benefits derived from protected areas. The framework will provide a robust evidence base for the range of benefits provided by private protected areas. This will be vital to manage and grow Australia’s protected area network to reduce biodiversity and environmental declines, and meet international commitments.Read moreRead less
Fate of PAPs and short-chain PFAS in biosolids amended soils. Biosolids generated during wastewater treatment contain PFAS which are persistent, bioaccumulative and toxic. Application of biosolids to agricultural land may result in soil, groundwater and surface water PFAS contamination via leaching and run-off and pose unknown potential risk to soil health, crops and beneficial biota. This study aims to generate novel knowledge on the PFAS fate in biosolid amended soils, crops and toxicity to ke ....Fate of PAPs and short-chain PFAS in biosolids amended soils. Biosolids generated during wastewater treatment contain PFAS which are persistent, bioaccumulative and toxic. Application of biosolids to agricultural land may result in soil, groundwater and surface water PFAS contamination via leaching and run-off and pose unknown potential risk to soil health, crops and beneficial biota. This study aims to generate novel knowledge on the PFAS fate in biosolid amended soils, crops and toxicity to key soil and aquatic biota at environmentally relevant concentrations. This study is supported by Australian water and its allied industries, as it is important for them to ensure that biosolids application to agricultural land is an environmentally sustainable solution to the Australian farmers and communities.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE240100633
Funder
Australian Research Council
Funding Amount
$460,573.00
Summary
Microplastics accumulation in Australian coastal wetlands. This project aims to quantify the intensity, rate and impact of the accumulation of microplastic particles in Australia’s coastal wetlands for the first time. This multidisciplinary project will examine interactions between microplastics, wetland ecology and carbon dynamics using advanced analytical chemistry, biogeochemistry and environmental microbiology. Expected outcomes of this project include the world’s first nationwide analysis o ....Microplastics accumulation in Australian coastal wetlands. This project aims to quantify the intensity, rate and impact of the accumulation of microplastic particles in Australia’s coastal wetlands for the first time. This multidisciplinary project will examine interactions between microplastics, wetland ecology and carbon dynamics using advanced analytical chemistry, biogeochemistry and environmental microbiology. Expected outcomes of this project include the world’s first nationwide analysis of the sequestration of microplastics and their influence on the carbon cycle in coastal ecosystems. This work will provide significant benefits, such as facilitating decision-making about microplastics emissions reduction and coastal wetlands conservation.Read moreRead less
Self-supervised feature learning for rapid processing of marine imagery. Fast and reliable quantitative estimates of marine environmental health are needed for scientific studies, design and management of protected areas, and regulatory compliance of industrial activity in the ocean. Australia is collecting seafloor images at increasing rates but expert annotations are not keeping up, meaning that typical machine learning approaches struggle. This project will develop self-supervised techniques ....Self-supervised feature learning for rapid processing of marine imagery. Fast and reliable quantitative estimates of marine environmental health are needed for scientific studies, design and management of protected areas, and regulatory compliance of industrial activity in the ocean. Australia is collecting seafloor images at increasing rates but expert annotations are not keeping up, meaning that typical machine learning approaches struggle. This project will develop self-supervised techniques that use large amounts of unlabeled data to enhance performance. Our design takes advantage of additional information available for marine imagery such as geolocation and remote sensing context. We will explore how these representations can guide additional sampling and improve performance in classification tasks.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