Modelling environmental DNA data
Saturday, 25 June 2022 (full day)
Presenters: Alex Diana, University of Kent, UK; Eleni Matechou, University of Kent, UK
Environmental DNA (eDNA) is becoming increasingly adopted as a monitoring tool by researchers. practitioners and organisations. eDNA surveys include two stages, the sample (eg soil, water) collection stage and the laboratory analysis stage, where DNA of species in the sample can be detected.
In recent years, we have developed new statistical models, specifically designed for eDNA data, to account for the probability of false positive and false negative observation errors in both stages of eDNA surveys. The models are fitted within a Bayesian framework using efficient algorithms that allow us to perform Bayesian variable selection and identify important predictor variables for species presence and in multi-species data to model correlation between species.
During this workshop, we will describe our single and multi-species models and demonstrate them to real and simulated data using our freely-available R packages. Participants will be encouraged to bring their own data along for advice.
R1,000 per person (US$70) if attending in person;
R650 per person (US$45) if attending virtually.