ARC Centre of Excellence for Environmental Decisions. Despite facing the sixth global mass extinction of species, most conservation management is unevaluated and inefficient. The ARC Centre of Excellence for Environmental Decisions will provide international research leadership in tackling the complex problems of environmental management and monitoring in an uncertain world. Working through six Australian universities and six international organisations, the Centre will forge new approaches and ....ARC Centre of Excellence for Environmental Decisions. Despite facing the sixth global mass extinction of species, most conservation management is unevaluated and inefficient. The ARC Centre of Excellence for Environmental Decisions will provide international research leadership in tackling the complex problems of environmental management and monitoring in an uncertain world. Working through six Australian universities and six international organisations, the Centre will forge new approaches and tools from ecology, mathematics, statistics, economics and the social sciences. It will lead the world in developing and delivering predictive models and decision-making approaches to improve outcomes in conservation.Read moreRead less
Acoustics for Large Scale Biodiversity Assessment. Aims: This project will investigate using automated acoustic recording to efficiently census biodiversity assessment at a continental scale.
Significance: To generate new techniques for analysing environmental acoustic data and assessing Australian biodiversity, verified empirical estimates of biodiversity, an understanding of causes of variation in biodiversity.
Expected outcomes: methods for large-scale and accurate assessment of biodiversity ....Acoustics for Large Scale Biodiversity Assessment. Aims: This project will investigate using automated acoustic recording to efficiently census biodiversity assessment at a continental scale.
Significance: To generate new techniques for analysing environmental acoustic data and assessing Australian biodiversity, verified empirical estimates of biodiversity, an understanding of causes of variation in biodiversity.
Expected outcomes: methods for large-scale and accurate assessment of biodiversity, enhanced capacity to detect causes of variation in biodiversity, open-source software tools for analysing environmental audio data, biodiversity datasets.
Benefits: measuring and understanding biodiversity change, allowing enhanced management, conservation, and use of Australian natural resources.
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Biodiversity indicators for better conservation decisions. This project aims to test, design and select biodiversity indicators to support conservation. Reliable and sensitive biodiversity indicators are critical to track progress towards conservation targets, but the ability of most biodiversity indicators to reveal trends needed by decision-makers is untested. This project will test indicators to monitor biodiversity change at local to global scales, by sampling ecosystem models to evaluate ho ....Biodiversity indicators for better conservation decisions. This project aims to test, design and select biodiversity indicators to support conservation. Reliable and sensitive biodiversity indicators are critical to track progress towards conservation targets, but the ability of most biodiversity indicators to reveal trends needed by decision-makers is untested. This project will test indicators to monitor biodiversity change at local to global scales, by sampling ecosystem models to evaluate how indicator design, data bias and environmental variability affect performance. Project outcomes are expected to ensure that that data collected to monitor and assess the state of Australia’s environment are informative, cost-effective and robust. This is expected to have implications for predicting and measuring effects of policy such as the Convention on Biological Diversity.Read moreRead less
Advancing vegetation classification and mapping to meet conservation needs. The project aims to develop advanced statistical and modelling techniques to classify and map vegetation over very large areas, using the most extensive and detailed vegetation data set in Australia and new methods to evaluate these classifications. Such classifications and maps provide the data needed to make biodiversity conservation decisions, yet current operational methods are limited over very large areas, and cann ....Advancing vegetation classification and mapping to meet conservation needs. The project aims to develop advanced statistical and modelling techniques to classify and map vegetation over very large areas, using the most extensive and detailed vegetation data set in Australia and new methods to evaluate these classifications. Such classifications and maps provide the data needed to make biodiversity conservation decisions, yet current operational methods are limited over very large areas, and cannot deal with varied sources of uncertainty. Expected outcomes and benefits include a fine-scale vegetation classification and map for almost a million square kilometres, and associated analytical tools and guidelines for large-scale vegetation classification and global mapping.Read moreRead less
From prediction to action: Responding to rapid ecosystem shifts under climate change. Nobody knows exactly how climate change will affect the ecosystems on which we depend for our own existence, though negative impacts are widely predicted. This project integrates mathematical, economic and ecological approaches to learn about the most effective way to spend limited funds for sustaining ecosystems threatened by climate change.
A novel and theoretically consistent method for correcting systematic errors in earth observation data and earth system model results. For a correct interpretation of satellite-based earth observation data and/or Earth system model results, it is very important that these data are free of systematic errors, commonly referred to as bias. It is well known that both these data sources are prone to a significant bias, which is currently neglected in many environmental impact and prediction studies. ....A novel and theoretically consistent method for correcting systematic errors in earth observation data and earth system model results. For a correct interpretation of satellite-based earth observation data and/or Earth system model results, it is very important that these data are free of systematic errors, commonly referred to as bias. It is well known that both these data sources are prone to a significant bias, which is currently neglected in many environmental impact and prediction studies. This project will present a method to develop models for these biases. A state update technique, the Ensemble Kalman Filter, will be adapted to correctly take into account bias in the merging of the two data sources. The project outcomes will be of high importance for long-term environmental studies, since these strongly rely on physically-based models and remote sensing data.Read moreRead less
Linking risks to ecosystems with risks to human well-being. This project aims to provide theory and practical guidelines to integrate ecosystem science into policy and action to address human well-being. Ecosystem risk assessment provides critical information for conservation, and has compelling but unexplored relationships with human health and nature’s benefits to people. The research will identify ecosystem measures that highlight areas of risk to human well-being as well as biodiversity. Exp ....Linking risks to ecosystems with risks to human well-being. This project aims to provide theory and practical guidelines to integrate ecosystem science into policy and action to address human well-being. Ecosystem risk assessment provides critical information for conservation, and has compelling but unexplored relationships with human health and nature’s benefits to people. The research will identify ecosystem measures that highlight areas of risk to human well-being as well as biodiversity. Expected outcomes include new standards for including ecosystem change in policy frameworks globally and in Australia, such as natural capital accounting and United Nations Sustainable Development Goals. Benefits include improved ways of meeting and tracking progress on Australia’s international commitments.Read moreRead less
Using facial recognition for bird conservation management. Long-term monitoring of reintroduced species is essential to measure conservation success. This project aims to use a novel and non-invasive facial recognition software developed by our research group to measure the recovery of a vulnerable and native bird species following introduction outside of its historic range. This project expects to generate new knowledge in the field of animal monitoring. Expected outcomes of this project includ ....Using facial recognition for bird conservation management. Long-term monitoring of reintroduced species is essential to measure conservation success. This project aims to use a novel and non-invasive facial recognition software developed by our research group to measure the recovery of a vulnerable and native bird species following introduction outside of its historic range. This project expects to generate new knowledge in the field of animal monitoring. Expected outcomes of this project include improved ability to track individuals and their persistence to better inform conservation priorities. This should provide significant benefits to researchers, government agencies and industries to improve conservation planning as well as the outcomes of reintroductions and other translocations.Read moreRead less
Integrating satellite observations into environmental accounts. Accounting for biomass, water and ecosystem helps to manage and protect Australia's natural capital. Existing data provide only limited information, but this project will build on recent advances in satellite observation and model-data fusion technology to produce national accounts with unprecedented detail, for each year since 1990.
From prediction to adaptation: responding to rapid ecosystem shifts under climate change. Nobody knows exactly how climate change will affect the ecosystems on which we depend for our own existence, though negative impacts are widely predicted. This project integrates mathematical, economic and ecological approaches to learn about the most effective way to spend limited funds for sustaining ecosystems threatened by climate change.