Discovery Early Career Researcher Award - Grant ID: DE180100570
Funder
Australian Research Council
Funding Amount
$365,058.00
Summary
Cyanobacterial bio-encapsulation for restoring degraded drylands. This project aims to discover the ecological and functional roles of cyanobacteria in drylands, and develop new technologies for their broad application in large-scale ecosystem restoration. The global demand for landscape-scale restoration requires novel approaches to deliver on the promise of reinstating healthy, sustainable, and biodiverse ecosystems. This project will harness next-generation DNA sequencing to select beneficial ....Cyanobacterial bio-encapsulation for restoring degraded drylands. This project aims to discover the ecological and functional roles of cyanobacteria in drylands, and develop new technologies for their broad application in large-scale ecosystem restoration. The global demand for landscape-scale restoration requires novel approaches to deliver on the promise of reinstating healthy, sustainable, and biodiverse ecosystems. This project will harness next-generation DNA sequencing to select beneficial cyanobacteria for incorporation into emerging seed enhancement technologies. The project will deliver innovative and cost-effective tools to overcome barriers to seedling recruitment and plant survival, and enhance the functionality of degraded dryland ecosystems. This will contribute to long-term cost savings to the Australian economy through reduced spending on environmental issues such as salinity, erosion, acidification and poor water quality.Read moreRead less
Investigating movement, distribution, abundance and diet to support management objectives for threatened riverine predators in Northern Australia. The rivers and estuaries of northern Australia are highly productive environments, containing an exceptional diversity and abundance of large predatory aquatic species. This project aims to monitor the movements, habitat preferences and diet in eight large predatory species in a northern Queensland river over the next three years. Movement data will b ....Investigating movement, distribution, abundance and diet to support management objectives for threatened riverine predators in Northern Australia. The rivers and estuaries of northern Australia are highly productive environments, containing an exceptional diversity and abundance of large predatory aquatic species. This project aims to monitor the movements, habitat preferences and diet in eight large predatory species in a northern Queensland river over the next three years. Movement data will be combined with isotopic analysis to reveal how environmental and biological factors drive animal movements and impact habitat connectivity. In a world of vanishing top predators, it is imperative to understand system dynamics before we can evaluate the impact of species removal on ecosystem function.Read moreRead less
Quantitative metrics for determining aquifer ecosystem state. Clean groundwater comes from dirty surface water by way of biological purification. This project will develop quantitative ways to assess groundwater ecosystems to ensure the sustainable extraction of water and maintenance of these crucial ecosystems.
Red listing ecosystems - testing the new global standard for conservation. The International Union for Conservation of Nature (IUCN) Red Lists are critical for setting conservation priorities. These include a well-tested species Red List protocol, and a new global standard for Red-listing ecosystems. This project will test the new global standard across a range of marine, terrestrial and freshwater ecosystems, developing powerful new tools and guidelines for application.
Discovery Early Career Researcher Award - Grant ID: DE170100599
Funder
Australian Research Council
Funding Amount
$372,000.00
Summary
Forecasting ecosystem collapse and recovery by tracking networks of species. This project aims to assess and predict ecosystem decline by measuring change in networks of interacting species. Efforts to prevent ecosystem collapse are failing. A focus on managing individual species ignores the fact that ecosystems function because species have complex associations with one another and the environment. This project will use methods from social networks, food-web theory and web-searching behaviour, ....Forecasting ecosystem collapse and recovery by tracking networks of species. This project aims to assess and predict ecosystem decline by measuring change in networks of interacting species. Efforts to prevent ecosystem collapse are failing. A focus on managing individual species ignores the fact that ecosystems function because species have complex associations with one another and the environment. This project will use methods from social networks, food-web theory and web-searching behaviour, to discover symptoms of declining ecosystems and find robust metrics that diagnose change in networks of co-occurring species. The intended outcome is to clarify the relationship between species interactions, co-occurrence and ecosystem decline, knowledge critical to ecosystem recovery.Read moreRead less
Integrating remote sensing, landscape flux measurements, and phenology to understand the impacts of climate change on Australian landscapes. This project aims to combine satellite data with field tower measurements to more accurately map the water and carbon status of Australian landscapes. This will provide valuable information on land surface changes and improve model predictions of water balance, productivity, and health in response to climate change and land use impacts.