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
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
Australian Laureate Fellowships - Grant ID: FL190100003
Funder
Australian Research Council
Funding Amount
$3,108,997.00
Summary
A unified dynamic vegetation model for Australia. This project aims to synthesise current theory and data to develop a predictive, process-based model for Australian vegetation dynamics in response to environmental change. The existing theory and data are extensive, but fragmented. This project will deliver a crucial missing link in Australian ecosystem science, unifying these data in an integrative quantitative framework that can identify the critical limiting factors for different vegetation t ....A unified dynamic vegetation model for Australia. This project aims to synthesise current theory and data to develop a predictive, process-based model for Australian vegetation dynamics in response to environmental change. The existing theory and data are extensive, but fragmented. This project will deliver a crucial missing link in Australian ecosystem science, unifying these data in an integrative quantitative framework that can identify the critical limiting factors for different vegetation types, and predict their dynamics and resilience. It will transform our understanding of Australian vegetation form and function, and place it in a global context, with significant ongoing benefits for land management, fire management, agriculture and conservation.Read moreRead less
Testing the importance of large-scale climate factors to plant community assembly following land-use change. This project will examine the native plant species and functional diversity of Australia's rain forest communities to create a predictive framework of how plant communities recover following deforestation. Such a framework is key to focusing conservation efforts in degraded and multi-use landscapes.
A general theory for ecological trait-strategy dimensions. This project aims to bridge the gap in understanding of ecological strategies between plant and animal ecology, globally, using ants. It will test how environmental change influences the success of species, based on ecological strategies, and the consequences for ecosystem function. This project is expected to make a significant contribution to generality and prediction in ecology. Expected outcomes of this project include theory deve ....A general theory for ecological trait-strategy dimensions. This project aims to bridge the gap in understanding of ecological strategies between plant and animal ecology, globally, using ants. It will test how environmental change influences the success of species, based on ecological strategies, and the consequences for ecosystem function. This project is expected to make a significant contribution to generality and prediction in ecology. Expected outcomes of this project include theory development and application and enhanced global networks of trait researchers. Intended benefits include improved ecological theory, an enhanced capacity to predict how global change will affect organisms and increased understanding of the cascading effects of changes for ecosystem function.Read moreRead less
A novel approach for assessing environmental flows using satellite data. This project will determine how ecosystems respond to environmental flow by linking flooding history with vegetation responses, using remote sensing, climate data layers, spatial statistics, models of environmental flows and ecological theory. Beneficiaries will include water and land managers in Australia.
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
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.