Advanced Statistical Approaches to Coral Reef Modelling and Monitoring
Conference
Proposal Description
Coral reef ecosystems are facing unprecedented challenges due to climate change and human activities. Addressing these challenges requires cutting-edge statistical methods to accurately understand, predict, and mitigate impacts. This session presents innovative statistical approaches for coral reef modelling and monitoring, with a focus on both temporal and spatio-temporal scales. Presentations will cover optimal Bayesian designs, mathematical modelling, uncertainty quantification, and the integration of Bayesian inference with mechanistic models. These advanced techniques aim to improve the precision and reliability of coral reef data, supporting more effective conservation and management efforts.
Submissions
- How Bayesian Inference can support mechanistic models of coral reef health
- Mathematical modelling and uncertainty quantification for analysis of biphasic coral reef recovery patterns
- Optimal Bayesian Designs for Detecting Temporal and Spatio-temporal Changes in Ecological Systems Using Mean Field Variational Bayes
- Scale in coral reef surveying, a case study in Timor-Leste