Discovery Early Career Researcher Award - Grant ID: DE210101439
Funder
Australian Research Council
Funding Amount
$445,009.00
Summary
Towards reliable and explainable models for anticipating ecological change. This project aims to develop a quantitative framework for multivariate ecological prediction. This will allow us to better anticipate how ecosystems respond to environmental change. Recent modelling advances now make it possible to use the complexity of community ecology data to deliver better predictions. The project intends to use long-term ecological datasets to build and test novel multivariate prediction models, usi ....Towards reliable and explainable models for anticipating ecological change. This project aims to develop a quantitative framework for multivariate ecological prediction. This will allow us to better anticipate how ecosystems respond to environmental change. Recent modelling advances now make it possible to use the complexity of community ecology data to deliver better predictions. The project intends to use long-term ecological datasets to build and test novel multivariate prediction models, using tick paralysis rates in Australian dogs as a case study. Expected outcomes are better tools for studying ecosystem change and new hypotheses about how ecological communities are shaped. Application of these models should provide significant benefits, such as prediction of paralysis tick burdens to improve risk mitigation.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE160100904
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Connections between imperfect detection and ecological inference. This project is designed to resolve whether or when it is important to account for imperfect detection when modelling communities of species. Robust conservation and environmental decisions require reliable estimates of biodiversity, yet current modelling methods may be biased because they fail to account for the imperfect detection of species. Improving the models requires good understanding about levels and patterns of species d ....Connections between imperfect detection and ecological inference. This project is designed to resolve whether or when it is important to account for imperfect detection when modelling communities of species. Robust conservation and environmental decisions require reliable estimates of biodiversity, yet current modelling methods may be biased because they fail to account for the imperfect detection of species. Improving the models requires good understanding about levels and patterns of species detectability, which is currently lacking. The project intends to bridge this gap by producing a global synthesis of species detectability across taxa, geographical regions and survey methods. The project then aims to evaluate the performance and limitations of existing and emerging community modelling methods in ecology to enable better biodiversity conservation decisions.Read moreRead less
Cascading effects of Australia's ecological extinctions on biodiversity and ecosystem function. The current rate of species extinctions is so extensive that it has been described as the “sixth mass extinction”. In Australian ecosystems, extinctions and declines of mammals have been dramatic, with formerly abundant species now “ecologically extinct”, meaning they are too rare to continue to play important ecological roles. The loss of entire functional guilds may have cascading effects on biodive ....Cascading effects of Australia's ecological extinctions on biodiversity and ecosystem function. The current rate of species extinctions is so extensive that it has been described as the “sixth mass extinction”. In Australian ecosystems, extinctions and declines of mammals have been dramatic, with formerly abundant species now “ecologically extinct”, meaning they are too rare to continue to play important ecological roles. The loss of entire functional guilds may have cascading effects on biodiversity and ecosystem function. This project uses a multi-scalar experimental approach to investigate the broader impacts of mammal declines on Australian ecosystems, accounting for interactions with climate. The outcomes will include new insights into the pre-European state of Australian ecosystems and more realistic targets for ecosystem restoration.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190100710
Funder
Australian Research Council
Funding Amount
$422,492.00
Summary
Beyond Hendra: the significance of viral communities in bat virus spillover. This project aims to address the emerging global health threat posed by zoonotic bat-borne viruses, by determining why bats shed multiple viruses in synchronised pulses. The project expects to identify universal drivers of multi-viral shedding pulses, using Hendra virus as a model system for other bat viruses in Australia and globally. Expected outcomes include insights into the interactions between environmental change ....Beyond Hendra: the significance of viral communities in bat virus spillover. This project aims to address the emerging global health threat posed by zoonotic bat-borne viruses, by determining why bats shed multiple viruses in synchronised pulses. The project expects to identify universal drivers of multi-viral shedding pulses, using Hendra virus as a model system for other bat viruses in Australia and globally. Expected outcomes include insights into the interactions between environmental change, bat ecology, viral dynamics and spillover, prediction of when and where bat viral shedding will most likely occur, and development of new ecological interventions to prevent bat virus spillover in Australia and globally. This will provide significant benefits by pre-empting spillover and global pandemics before they occur.Read moreRead less
Species and gene turnover across environmental gradients - a landscape-level approach to quantify biodiversity and resilience for climate adaptation. Biodiversity corridor planning in Australia desperately needs to progress beyond the simple linking up of remnant vegetation, based on aerial maps and start incorporating ecosystem features which will promote climate adaptation. This project will develop a new genomics method to assess ecosystem resilience for use in national biodiversity corridor ....Species and gene turnover across environmental gradients - a landscape-level approach to quantify biodiversity and resilience for climate adaptation. Biodiversity corridor planning in Australia desperately needs to progress beyond the simple linking up of remnant vegetation, based on aerial maps and start incorporating ecosystem features which will promote climate adaptation. This project will develop a new genomics method to assess ecosystem resilience for use in national biodiversity corridor planning.Read moreRead less
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: DE130100434
Funder
Australian Research Council
Funding Amount
$371,114.00
Summary
What fire regimes can maintain biodiversity in northern Australia's savannah landscapes, and how do we implement them? Inappropriate fire regimes (the frequency, intensity and size of bushfires) are causing ongoing declines in Australia's biodiversity, yet we have little understanding of the fire regimes that should be implemented. Focussing on Kakadu National Park in northern Australia, this project will develop optimal fire management strategies for conserving biodiversity.
Is a grass-fire cycle reducing biodiversity in the stone country of Kakadu National Park? There is concern that bushfires in northern Australia are causing biodiversity loss. The project will compare fire regimes and populations of a fire-sensitive tree, Callitris intratropica, in Kakadu to similar areas in central Arnhem Land, to see how fire management can be optimised to prevent further biodiversity loss on the Arnhem Plateau.
Advances in biodiversity modelling - analysis of high-dimensional counts. The aim is to develop flexible models for the analysis of high-dimensional count data, in particular, for studying species interactions and the response of communities to environmental factors. This project is significant because increasingly, important research questions are answered using data with many response variables, with a particular need when studying ecological communities and their response to environmental imp ....Advances in biodiversity modelling - analysis of high-dimensional counts. The aim is to develop flexible models for the analysis of high-dimensional count data, in particular, for studying species interactions and the response of communities to environmental factors. This project is significant because increasingly, important research questions are answered using data with many response variables, with a particular need when studying ecological communities and their response to environmental impacts. This project aims to develop the first models that can be used directly to draw valid community-level conclusions for common ecological data types. The expected outcome is a powerful toolset for fully model-based inference from high-dimensional counts, introducing modern approaches to a high-impact area of ecology.Read moreRead less