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
'Streamlining search and destroy': development of a robust prioritisation framework for weed eradication using Hawkweed species. Introduced species are one of the greatest threats to our biodiversity and agriculture, as evidenced by the ARC’s National Research Priority: Safeguarding Australia. This project will advance Australia’s ability to protect itself from invaders by developing tools that guide cost-effective detection and response. Our project will have a direct effect on the planning a ....'Streamlining search and destroy': development of a robust prioritisation framework for weed eradication using Hawkweed species. Introduced species are one of the greatest threats to our biodiversity and agriculture, as evidenced by the ARC’s National Research Priority: Safeguarding Australia. This project will advance Australia’s ability to protect itself from invaders by developing tools that guide cost-effective detection and response. Our project will have a direct effect on the planning and management of Hawkweed control in Victoria and New South Wales. The framework delivered will have direct application to numerous other weeds (and relevance to other pests and diseases) within and beyond Australia. 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
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
Revolutionising biodiversity monitoring in freshwater ecosystems using environmental DNA. Australian biodiversity is declining at an unprecedented rate and freshwater species are particularly at risk. Effective conservation of freshwater biodiversity depends on reliable, accurate and cost-efficient monitoring techniques for assessing species communities and key environmental assets and threats. However, current techniques are inefficient, expensive and highly invasive. This project aims to utili ....Revolutionising biodiversity monitoring in freshwater ecosystems using environmental DNA. Australian biodiversity is declining at an unprecedented rate and freshwater species are particularly at risk. Effective conservation of freshwater biodiversity depends on reliable, accurate and cost-efficient monitoring techniques for assessing species communities and key environmental assets and threats. However, current techniques are inefficient, expensive and highly invasive. This project aims to utilise a novel methodology known as environmental DNA to revolutionise biodiversity surveys in freshwater environments, and aims to lead to a substantial increase in positive conservation outcomes through cost-efficient and accurate assessments of the distributions and abundances of both native and introduced species.Read moreRead less
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
Adaptive management of native vegetation condition. Environmental managers face severe uncertainty about how to best restore native habitats. This project will develop an adaptive strategy to improve vegetation management decisions by integrating expert knowledge with monitoring. This will improve the efficiency of management and provide an example of 'learning by doing' in two case study regions.
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.
Using decision theory to design smart plant surveys. Threatened species may remain unprotected, or weeds detected too slowly if, because of imperfect detection, a species is believed to be absent when it is in fact present. This project will develop new theory and combine it with new estimates of detection rates to minimise the impact of imperfect detection on management decisions.