The evolution of cooperative communication. This interdisciplinary project will provide a broad understanding of communication in a model ecological system involving ants, lycaenid butterflies, and host-plants. The project will reveal the nature of the chemical signals used to communicate, and their role in the origin, maintenance, and loss of mutualistic and parasitic associations.
Understanding the crowd - improving accuracy in collective motion theory. This project intends to develop more accurate methods for predicting the motions of large groups. The amazing coordinated movements seen in large groups of animals are governed by simple interactions between individuals, termed rules of motion. In 2011, techniques were developed to estimate individual rules of motion from video tracking data. The project plans to build on these breakthroughs by using advanced tracking, mod ....Understanding the crowd - improving accuracy in collective motion theory. This project intends to develop more accurate methods for predicting the motions of large groups. The amazing coordinated movements seen in large groups of animals are governed by simple interactions between individuals, termed rules of motion. In 2011, techniques were developed to estimate individual rules of motion from video tracking data. The project plans to build on these breakthroughs by using advanced tracking, modelling and analysis to systematically determine the influence that different movement parameters have on rules of motion and how rules of motion are affected by group size. It aims to develop a framework for analysis and modelling built on the visual perception of individuals.Read moreRead less
Leadership matters: the emergence of informed leaders and their influence on group movement. This project will discover the effect of leadership and social structure on collective motion in schools of damselfish, swarms of honey bees and human pedestrians using videoed experiments and computer simulations. These findings will be important in preventing crowd stampedes, understanding risky road crossing behaviour and designing 'swarms' of robots.
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
From individual interactions to global patterns: understanding the basis of collective behaviour. Some of the most incredible sights in nature happen when animals form into groups, such as shoals or flocks. This study examines the phenomenon of collective animal behaviour to understand how simple interactions between group members scale to produce these behavioural spectacles.
Advanced mathematical models and methods for a randomly-varying world. This project aims to develop advanced stochastic models and novel techniques, to analytically obtain performance measures and to efficiently simulate the time evolution. This project also plans to apply new models and methods to address important problems in ecology and epidemiology. The outputs of this project will advance knowledge in mathematics as well as in the intended application areas, including ultimately in improved ....Advanced mathematical models and methods for a randomly-varying world. This project aims to develop advanced stochastic models and novel techniques, to analytically obtain performance measures and to efficiently simulate the time evolution. This project also plans to apply new models and methods to address important problems in ecology and epidemiology. The outputs of this project will advance knowledge in mathematics as well as in the intended application areas, including ultimately in improved understanding, modelling, and tracking of the spread of diseases.Read moreRead less
Does mother know best? Unifying proximate causation and ultimate explanation in mammalian sex allocation. The study of parental effects is a fundamental area in evolutionary ecology, but is characterised by poor integration of theory (ultimate causation) and physiology (proximate causation). This is true in sex allocation research that focuses almost exclusively on ultimate causation without integrating the physiological mechanisms for sex ratio adjustment. Using a combination of experiments and ....Does mother know best? Unifying proximate causation and ultimate explanation in mammalian sex allocation. The study of parental effects is a fundamental area in evolutionary ecology, but is characterised by poor integration of theory (ultimate causation) and physiology (proximate causation). This is true in sex allocation research that focuses almost exclusively on ultimate causation without integrating the physiological mechanisms for sex ratio adjustment. Using a combination of experiments and modelling, the project addresses this gap in understanding mammalian sex allocation, specifically: the lack of known mechanism; the connection between proximate mechanistic explanation and adaptive fitness explanations; and, knowledge on constraints. This project argues that one mechanism, pre-implantation glucose levels, links adaptive hypotheses with proximate causation. Read moreRead less
Increased phenotypic variation via evolutionarily novel stressors. This project aims to understand how evolutionarily novel stressors such as obesogenic diets induce phenotypic variation in organismal traits. Such increased phenotypic variation is traditionally thought to be genetic. However, growing evidence points to non-genetic mechanisms that are capable of transgenerational inheritance. The project will use complementary approaches to study how novel stressors generate phenotypic variation ....Increased phenotypic variation via evolutionarily novel stressors. This project aims to understand how evolutionarily novel stressors such as obesogenic diets induce phenotypic variation in organismal traits. Such increased phenotypic variation is traditionally thought to be genetic. However, growing evidence points to non-genetic mechanisms that are capable of transgenerational inheritance. The project will use complementary approaches to study how novel stressors generate phenotypic variation. The project aims to deliver a more integrated evolutionary perspective not only on phenotypic evolution and the maintenance of variation, but also on the transgenerational cost of obesity.Read moreRead less
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
The role of mothers in the evolution of immunity. This project will take a fresh approach to studying disease by addressing the role that mothers play in immune system evolution. This project will make a significant contribution to our nation's research capacity and international scientific reputation, by delivering cutting-edge scientific results that resolve outstanding questions in evolutionary biology.