1. PhD – Statistical downscaling of Antarctic models
Antarctic data is often gathered from space, using satellites and global circulation models. However, management decisions need to be made at a much smaller scale, in the range of animal movements and species ranges. This project seeks to develop innovative statistical methods for downscaling these models to a useful resolution, validating and calibrating the techniques using a range of new approaches and technologies, including drones, genomics, statistical modelling and robotic vision.
2. PhD – A new biosecurity framework for Antarctica
This project will adopt a biosecurity risk framework to assess current and emerging movement pathways of invasive species, predict the impacts of invasions on currently pristine ecosystems and prioritise management actions to limit future invasive species impacts.
3. PhD – Value-of-information in remote ecosystems
This project will develop and enlarge single- and multi-stage value-of-information models to incorporate statistical uncertainty. These models will inform the rapid collection of baseline data in locations where early information could offer warning signals of future ecosystem change.
4. PhD – Identifying essential biodiversity on the Antarctic continent
This project seeks to develop Essential Biodiversity Variables to detect and monitor change in Antarctic terrestrial and benthic biodiversity.