Julie’s research interests focus on combining state-of-the-art technologies offered by machine learning, remote sensing and by the rise of citizen science and, Bayesian modelling to help understanding complex problems related to coral reef conservation. She is also develloping new approaches to better estimate reef aesthetic values using virtual reality and human perceptions of beauty.
ACEMS research combines state-of-art methodologies for coral reef data collection, remote sensing and statistical modelling to predict the future ecological status of the reefs within the Great Barrier Reef as the incidence of multiple disturbances continues to increase.
Enormous effort is invested in monitoring the Great Barrier Reef (GBR), but data collection is currently fragmented over dozens of publicly and privately funded organisations, with data collected using different methods and for different purposes. As a result, the data are rarely analysed together.
Invited talks, refereed proceedings and other conference outputs
Kayal, M., Vercelloni J., Wand M., & Adjeroud M.
(2015). Searching for the best bet in life-strategy: A quantitative approach to individual performance and population dynamics in reef-building corals. Ecological Complexity. 23, 73-84. doi: 10.1016/j.ecocom.2015.07.003