Animal social behaviour and emerging infectious fungal diseases in nature. This project aims to improve knowledge about the central role that animal social behaviour plays in the spread of emerging infectious fungal diseases in nature. Applying approaches from behavioural ecology, network modelling and quantitative genetics, and utilising rare empirical pre- and post-infection data, the project expects to generate new understandings about how fungal diseases spread through animal populations, ho ....Animal social behaviour and emerging infectious fungal diseases in nature. This project aims to improve knowledge about the central role that animal social behaviour plays in the spread of emerging infectious fungal diseases in nature. Applying approaches from behavioural ecology, network modelling and quantitative genetics, and utilising rare empirical pre- and post-infection data, the project expects to generate new understandings about how fungal diseases spread through animal populations, how animal social behaviour influences disease transmission, and how disease-status affects animal social behaviour. This project should have international impact, and advance current knowledge about disease dynamics. Applied outcomes should inform much-needed control strategies to benefit wildlife and preserve biodiversity. Read moreRead less
Random network models with applications in biology. Complex biological systems consist of a large number of interacting agents or components, and so can be studied using mathematical random network models. We aim to gain deeper insights into the laws emerging as the random networks evolve in time. This can help us to deal with dangerous disease epidemics and better understand the human brain.
Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals. The power to recognise individuals of a species requires significant image and pattern discrimination abilities. Yet, individual recognition has been found in a huge range of species, from humans to invertebrates demonstrating its importance for social interactions. The project will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to u ....Pattern recognition in animals and machines: using machine learning to reveal cues central to the identification of individuals. The power to recognise individuals of a species requires significant image and pattern discrimination abilities. Yet, individual recognition has been found in a huge range of species, from humans to invertebrates demonstrating its importance for social interactions. The project will investigate this ability in lower vertebrates (fish, with no visual cortex), so as to understand the underlying mechanisms of pattern discrimination. The project will also test how robust this ability is during changes in water quality (elevated carbon dioxide levels and increased turbidity). The outcomes will further our knowledge base in lower vertebrate vision and evolution, and also have implications for human vision, image analysis, and artificial vision.Read moreRead less
Australian Laureate Fellowships - Grant ID: FL140100197
Funder
Australian Research Council
Funding Amount
$2,970,898.00
Summary
Revealing the invisible: new principles of vision in Australian animals. Revealing the invisible: new principles of vision in Australian animals. This project aims to reveal how the visual systems of marine creatures from the Great Barrier Reef receive and interpret colour and polarisation information, much of which is invisible to the human eye. It aims to utilise this data to tackle fundamental questions in neuroscience and inform bio-inspired camera design and machine-vision solutions. The re ....Revealing the invisible: new principles of vision in Australian animals. Revealing the invisible: new principles of vision in Australian animals. This project aims to reveal how the visual systems of marine creatures from the Great Barrier Reef receive and interpret colour and polarisation information, much of which is invisible to the human eye. It aims to utilise this data to tackle fundamental questions in neuroscience and inform bio-inspired camera design and machine-vision solutions. The resulting new generation of polarisation cameras will be used to characterise the environments, animals and brains that inspired them in the first place. This will help the understanding of how nervous systems convey information and may improve our ability to detect dysfunction in neurons and other cells.Read moreRead less
Habitat degradation on coral reefs. This project aims to determine how reef degradation modifies predator-prey dynamics in fish communities, and how parental effects may help species to cope with habitat change. Live corals are ecosystem engineers that support the world’s most biodiverse communities, but anthropogenic factors have led to unprecedented global declines in live coral. The transition from live to dead coral-dominated habitats is associated with a modified sensory landscape of fear f ....Habitat degradation on coral reefs. This project aims to determine how reef degradation modifies predator-prey dynamics in fish communities, and how parental effects may help species to cope with habitat change. Live corals are ecosystem engineers that support the world’s most biodiverse communities, but anthropogenic factors have led to unprecedented global declines in live coral. The transition from live to dead coral-dominated habitats is associated with a modified sensory landscape of fear for resident fishes, via chemical interference emanating from degraded coral. Inter-generational advantages would help management to regulate reef usage to promote resilience.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE130100709
Funder
Australian Research Council
Funding Amount
$375,000.00
Summary
Assessing pollination services of honey bees in native ecosystems and threats posed by parasites. The European honeybee is our most abundant pollinator but we know little about its role in native Australian ecosystems or how its many diseases may affect its ability to pollinate. This project will determine whether honeybees are important pollinators of native plants and how a common parasite affects their pollination ability.
The functions of reef fish colour patterns: how did the coral trout get its spots? How did the coral trout get its spots? Why are some reef fish striped yellow and blue while others dress in pink and orange blotches? This project goes beyond just interpreting animal colours and uses a new approach to reveal the meanings of whole body patterns. Uniquely, it does so through the eyes of the fish themselves.
Random Discrete Structures: Approximations and Applications. The behaviour of many real world systems can be modelled by random discrete structures evolving over time. For example, the sizes of populations of frogs in some close patches of forests can be modelled as interacting random processes. The aim of the project is to investigate large discrete random structures that arise from real world application in areas such as biology, complex networks and insurance. The proposed project is at the i ....Random Discrete Structures: Approximations and Applications. The behaviour of many real world systems can be modelled by random discrete structures evolving over time. For example, the sizes of populations of frogs in some close patches of forests can be modelled as interacting random processes. The aim of the project is to investigate large discrete random structures that arise from real world application in areas such as biology, complex networks and insurance. The proposed project is at the interface of mathematics and 'big data' applications and so the work of the project aims to provide theoretical and heuristic underpinnings useful in the algorithms and techniques of practitioners. Understanding the applications in the project requires new, broadly applicable methods and developing such is a complementary aim.Read moreRead less
Stomatopods v Cephalopods: discovery from an information coding arms-race. This proposal aims to unlock the power of a 400 million year old evolutionary arms race between two of earth's most successful predators, cephalopods (e.g. octopus) and mantis shrimp (stomatopods). New knowledge in vision (sensor design), neural coding (circuits and information flow) and behavioural (decisions and actions) innovations from these two groups will have fundamental and applied outcomes. The interdisciplinary ....Stomatopods v Cephalopods: discovery from an information coding arms-race. This proposal aims to unlock the power of a 400 million year old evolutionary arms race between two of earth's most successful predators, cephalopods (e.g. octopus) and mantis shrimp (stomatopods). New knowledge in vision (sensor design), neural coding (circuits and information flow) and behavioural (decisions and actions) innovations from these two groups will have fundamental and applied outcomes. The interdisciplinary and comparative nature of the project aims to amplify outcomes in questions of efficient neural coding, optical design and bio-inspired solutions. Benefits from the study include GPS-free navigation in marine engineering and rapid exposure of research results to millions of people through existing communication programs. Read moreRead less
New dimensions in colour and polarisation vision on The Great Barrier Reef. Many animals possess colour vision that outperforms humans and some also have a type of vision we lack altogether, polarisation vision. By comparing design and discovering strategies from the sensory systems of animals on The Great Barrier Reef, the project will enhance our knowledge of their sensory world, their ecosystem and broader visual neuroscience.