Image: Per Stenberg
Post-doc project Using a large eDNA dataset, extracted from used air filters, this project aims to use mathematical methods to determine patterns in seemingly chaotic ecological data. We will compare novel methods, such as Empirical Dynamic Modelling, to previous modelling efforts, and hopefully clarify ecological interactions undiscoverable by empirical methods.
The project aims to dive into the world’s largest eDNA dataset, extracted from air filters from a radionuclide monitoring station in northern Sweden. This dataset contains a weekly registry of organisms found within the catchment area for ~34 years. We hope to use mathematical methods, namely Empirical Dynamic Modelling, to discover species interactions as well as abiotic influences that are not discoverable using standard correlation-based approaches, highlighting patterns that only become apparent when considering the system as a whole.
