From individuals to mass organisation: aggregation, synchronisation and collective movement in locusts. By combining field biology, robotics and mathematics, this project will determine how animals flock or swarm and, in particular, how locust nymphs control their collective movement over their lifetime. The mathematical models derived during the project will be directly applied to controlling outbreaks of locusts in Australia, South and North Africa.
Modelling collective behaviour to protect social insect ecosystem services. This project aims to use mathematical models and computer simulations and biological experiments to investigate how social insects adapt to environmental stress, for example due to climate change and pollution. Fundamental to the adaptability of social insects are the complex mechanisms that allow colonies to maintain a carefully balanced division of labour (DOL). This project builds on evolutionary game theory to develo ....Modelling collective behaviour to protect social insect ecosystem services. This project aims to use mathematical models and computer simulations and biological experiments to investigate how social insects adapt to environmental stress, for example due to climate change and pollution. Fundamental to the adaptability of social insects are the complex mechanisms that allow colonies to maintain a carefully balanced division of labour (DOL). This project builds on evolutionary game theory to develop a new approach for analysing how environmental factors impact on DOL and thus colony viability. The project will deliver new methods to assess and predict the impact of environmental stress This will ultimately help to protect these keystones of biodiversity and the significant ecosystem services they provide as pest-control agents, through pollination, seed dispersal, and soil conditioning.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE190101486
Funder
Australian Research Council
Funding Amount
$400,000.00
Summary
Animal groups as mobile sensor networks. This project aims to provide biologically inspired solutions to the problems faced by mobile sensor networks. Mobile sensor networks provide a powerful new tool in environmental monitoring and surveillance, however, designing them to be energy efficient while not sacrificing information detection remains a challenge. By immersing animal groups into dynamically changing virtual environments this project will design new efficient mobile sensor networks. The ....Animal groups as mobile sensor networks. This project aims to provide biologically inspired solutions to the problems faced by mobile sensor networks. Mobile sensor networks provide a powerful new tool in environmental monitoring and surveillance, however, designing them to be energy efficient while not sacrificing information detection remains a challenge. By immersing animal groups into dynamically changing virtual environments this project will design new efficient mobile sensor networks. The project is expected to provide solutions to mobile sensor network limitations, benefitting areas including robotics, environmental monitoring and defence.Read moreRead less