Dr Julie Vercelloni
Associate Investigator
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.
Research Interests:
Bayesian Methods for Ecology
Big data analytics
Citizen Science
Coral reefs
Environmental monitoring
Virtual Reality
Projects
Publications
Invited talks, refereed proceedings and other conference outputs
(2020). Global patterns of community assembly on coral reefs.
International Statistical Ecological Conference.
(2020). Going for gold – data, data science and elite sports.
Data Science In The News Webinar.
(2016). Virtual reality for conservation.
International Conference on Web3D Technology. 177–178. doi: 10.1145/2945292.2945319
(2016). Virtual reality for conservation.
Web3D 2016: 21st International Conference on Web3D Technology. 177–178. doi: 10.1145/2945292.2945319
Journal Articles
(2018). Recovery of coral assemblages despite acute and recurrent disturbances on a South Central Pacific reef.
Scientific Reports. 8(1), 9680. doi: 10.1038/s41598-018-27891-3
(2017). Crown-of-thorns starfish undermine the resilience of coral populations on the Great Barrier Reef.
Global Ecology and Biogeography. 26(7), 846 - 853. doi: 10.1111/geb.12590
(2017). Improved Coral Population Estimation Reveals Trends at Multiple Scales on Australia’s Great Barrier Reef.
Ecosystems. 20(7), 1337 - 1350. doi: 10.1007/s10021-017-0115-2
(2017). Modelling imperfect presence data obtained by citizen science.
Environmetrics. 28(5), e2446. doi: 10.1002/env.2446
(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
(2014). Understanding Uncertainties in Non-Linear Population Trajectories: A Bayesian Semi-Parametric Hierarchical Approach to Large-Scale Surveys of Coral Cover.
PLOS ONE. 9(11), doi: 10.1371/journal.pone.0110968
Technical reports and unrefereed outputs
(2016). Monitoring Through Many Eyes:Spatially enabling people to protect the Great Barrier Reef.
