Discovery Early Career Researcher Award - Grant ID: DE220100752
Funder
Australian Research Council
Funding Amount
$453,582.00
Summary
Reducing greenhouse gas emissions from Australian farm dams. There is an untapped potential to reduce greenhouse gas emissions from millions of Australian farm dams. This project aims to quantify the nation-wide carbon footprint of farm dams and develop low-cost strategies for “greener” practices. Contributing to Australia’s commitment to tackle climate change, this project aspires to empower farmers to significantly reduce the carbon footprint of their farm dams. It will also inform on the econ ....Reducing greenhouse gas emissions from Australian farm dams. There is an untapped potential to reduce greenhouse gas emissions from millions of Australian farm dams. This project aims to quantify the nation-wide carbon footprint of farm dams and develop low-cost strategies for “greener” practices. Contributing to Australia’s commitment to tackle climate change, this project aspires to empower farmers to significantly reduce the carbon footprint of their farm dams. It will also inform on the economic viability of alternative management strategies for mitigating farm dam emissions and provide recommendations for financial incentives. This project should enhance the capacity of Australia to meet its carbon reduction targets and mitigate anthropogenic climate change.Read moreRead less
A global standard for the status of Wetlands of International Importance. The project will develop and test a new global standard for the assessment and reporting on ecological condition of internationally important wetlands, listed under the Ramsar Convention. It has four aims: establishment of a strategic adaptive management and governance framework, a meta-analysis of the 2,303 internationally listed wetlands, development of a protocol for assessment and prediction and delivering a digital re ....A global standard for the status of Wetlands of International Importance. The project will develop and test a new global standard for the assessment and reporting on ecological condition of internationally important wetlands, listed under the Ramsar Convention. It has four aims: establishment of a strategic adaptive management and governance framework, a meta-analysis of the 2,303 internationally listed wetlands, development of a protocol for assessment and prediction and delivering a digital reporting platform for effective management. The project is significant because it tackles the decline of freshwater ecosystems, by targeting the most prominent wetlands. It also assists state and national governments to meet their obligations under the Ramsar Convention and most importantly guides more effective management.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE210100032
Funder
Australian Research Council
Funding Amount
$456,645.00
Summary
Unravelling how ecosystems function through time and space. This project aims to build a whole-of-ecosystem model to trace the biological capture of energy and cycling of matter as it moves through entire river catchments. It is expected to generate new knowledge about ecological responses to environmental streamflow through the novel integration of all major food-web compartments – from dissolved molecules to predatory fish – in a single framework. The expected outcome of this project is an enh ....Unravelling how ecosystems function through time and space. This project aims to build a whole-of-ecosystem model to trace the biological capture of energy and cycling of matter as it moves through entire river catchments. It is expected to generate new knowledge about ecological responses to environmental streamflow through the novel integration of all major food-web compartments – from dissolved molecules to predatory fish – in a single framework. The expected outcome of this project is an enhanced capacity to predict the ecological consequences of future water management scenarios, facilitating more precise management of river systems. This should provide considerable benefits to the health of Australia’s rivers and the contributions these ecosystems make to society, environment, and agriculture.Read moreRead less
Species redundancy in response to multiple disturbances. This project aims to elucidate how the context within which disturbances occur affects food web linkages and how these map to responses in ecosystem function. There is a critical need to test the common assumption in environmental management that high biodiversity makes ecosystems resilient to disturbances. Studies that merely observe biodiversity change after disturbance cannot identify ecological processes connecting high diversity and e ....Species redundancy in response to multiple disturbances. This project aims to elucidate how the context within which disturbances occur affects food web linkages and how these map to responses in ecosystem function. There is a critical need to test the common assumption in environmental management that high biodiversity makes ecosystems resilient to disturbances. Studies that merely observe biodiversity change after disturbance cannot identify ecological processes connecting high diversity and ecosystem function, making experiments that manipulate identical disturbances in ecosystems with different biodiversity essential. This project will use field experiments that manipulate disturbances in streams replicated in low and high biodiversity regions and across gradients of chronic background stress to show how biodiversity sustains functional ecosystems, and how much diversity can be lost before ecosystems collapse.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100636
Funder
Australian Research Council
Funding Amount
$401,202.00
Summary
Integrating genomics into native fish management to promote persistence. This project aims to improve predictions of the effects of environmental change on the long-term survival of wildlife, using native fish as a case study. By integrating genomics into biodiversity models, this project expects to generate fundamental knowledge of processes underpinning long-term survival and is a big advance on traditional biodiversity models that consider only occurrence or abundance. Expected outcomes inclu ....Integrating genomics into native fish management to promote persistence. This project aims to improve predictions of the effects of environmental change on the long-term survival of wildlife, using native fish as a case study. By integrating genomics into biodiversity models, this project expects to generate fundamental knowledge of processes underpinning long-term survival and is a big advance on traditional biodiversity models that consider only occurrence or abundance. Expected outcomes include insights into fish responses to environmental conditions and new tools to predict long-term survival of wildlife. These tools will guide cost-effective delivery of environmental water in the Murray-Darling Basin, and wider uptake should promote the long-term effectiveness of conservation efforts for many species.Read moreRead less
Next-generation models to predict cyanobacteria harmful algal blooms. This project aims to address the need for improved predictions of cyanobacteria (blue-green algae) harmful algal blooms. Accurate predictions of blooms with computer models are important to support management strategies to prevent their occurrence. This project is expected to generate new knowledge of strain-level variation in cyanobacteria that leads to toxic blooms. This project will lead to new knowledge of the significance ....Next-generation models to predict cyanobacteria harmful algal blooms. This project aims to address the need for improved predictions of cyanobacteria (blue-green algae) harmful algal blooms. Accurate predictions of blooms with computer models are important to support management strategies to prevent their occurrence. This project is expected to generate new knowledge of strain-level variation in cyanobacteria that leads to toxic blooms. This project will lead to new knowledge of the significance of strain-level variation in cyanobacteria harmful algal blooms, how strains influence toxin production and models for prediction of bloom and toxins. The project will generate significant benefits for water security for the purposes human consumption and recreation, and ecosystem health.Read moreRead less
Improving stream management using ecological modelling and DNA barcodes. Rivers and streams provide invaluable ecosystem services, yet are commonly degraded by human activities: a problem likely to be exacerbated by thermal and flow regimes being altered by climate change. Stream biodiversity is both a value and an indicator of ecological health: effective stream management requires prediction of biodiversity responses to natural environmental and human-impact gradients. By compiling a dataset o ....Improving stream management using ecological modelling and DNA barcodes. Rivers and streams provide invaluable ecosystem services, yet are commonly degraded by human activities: a problem likely to be exacerbated by thermal and flow regimes being altered by climate change. Stream biodiversity is both a value and an indicator of ecological health: effective stream management requires prediction of biodiversity responses to natural environmental and human-impact gradients. By compiling a dataset of macroinvertebrate species using new DNA metabarcoding, modelling their distributions, and ranking biodiversity by reach, we will develop molecular and quantitative spatial tools to provide data-driven, landscape-scale decision support for protecting and restoring streams: an urgent need for stream managers globally.Read moreRead less