Modern statistical methods for clustering community ecology data. This project will develop statistical methods and software for clustering community ecology data, and use them to analyse systematic survey and citizen science program data collected along the Great Barrier Reef. By doing so, the project will address the dearth of statistical classification techniques for high-dimensional, multi-response data with complex relationships. When the resultant clustering methods are used to construct b ....Modern statistical methods for clustering community ecology data. This project will develop statistical methods and software for clustering community ecology data, and use them to analyse systematic survey and citizen science program data collected along the Great Barrier Reef. By doing so, the project will address the dearth of statistical classification techniques for high-dimensional, multi-response data with complex relationships. When the resultant clustering methods are used to construct bioregions and characterise species’ environmental responses, they should significantly enhance evaluations of the impact of human activity and environmental change on coral diversity. Ultimately, these evaluations can underpin future decisions in the conservation and management of the Great Barrier Reef.Read moreRead less
A balancing act: Resolving coastal wetland water, carbon and solute fluxes. Coastal wetlands offer an impressive capacity to regulate the Earth’s climate by altering the way carbon dioxide is extracted from the atmosphere and stored while simultaneously influencing the water cycle, thus providing ecosystem services such as carbon storage, abating flood waters, improving water quality and protecting the coastline from sea level rise. This project aims to address the current gaps in understanding .... A balancing act: Resolving coastal wetland water, carbon and solute fluxes. Coastal wetlands offer an impressive capacity to regulate the Earth’s climate by altering the way carbon dioxide is extracted from the atmosphere and stored while simultaneously influencing the water cycle, thus providing ecosystem services such as carbon storage, abating flood waters, improving water quality and protecting the coastline from sea level rise. This project aims to address the current gaps in understanding the critical exchanges of water and greenhouse gases (GHGs) combining field methodologies and hydrological models, under different climatic conditions. The intended outcomes will benefit management of GHG emissions, coastal flooding and vulnerable groundwater dependent habitats.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
From environmental monitoring to management: extracting knowledge about environmental events from sensor data. New, high-detail sources of environmental sensor data are useless without new methods for identifying patterns and extracting knowledge from that data. This project will develop improved techniques for interacting with environmental sensor data to assist environmental scientists and manager in understand the important events that are occurring.
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.
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.