Integrating modern techniques with traditional plankton taxonomy - Felicity R. McEnnulty, Anthony J. Richardson, Claire H. Davies, Frank E. Coman, Ruth S. Eriksen,

Traditional taxonomic identification Pros • Quantitative • Abundance & biomass • Sex and lifestage: male, female, juvenile • Size range • Functional groups: carnivore/herbivore Cons • Specialist skills, consistency • Expensive, time consuming • Many phyla can not identify to species Plankton diversity and abundance data • Count data: robust, quantitative, abundance and biomass • Used in ecosystem. [...] ➢ Claire Davies and Jason Everett W02, S06 & poster sessions Data visualisation: planktonr • R code • Functions to access data directly from AODN • Functions for wrangling and plotting, tweak to your requirements • More complex analysis functions: STI, CTI, distribution maps, simple modelling, remove outliers • Aid t. [...] Size-spectrum, optical scanning techniques and machine learning Zooscan, Flowcam, Laser Optical Plankton Counter, flow cytometry Pros • Abundance, specimen size, biomass data Cons • Identifying functional groups • Biodiversity lower due to taxonomic resolution • Viewing angle, specimens cannot be manipulated • Requires training library of taxonomically validated images for predictions • Requires s. [...] Micro CT scanning X-ray computed tomography (XCT) Pros • 3D visualisation • Ability to highlight internal structures • Useful for training AI machine learning (in the future) Cons • Time intensive to set up specimens to ensure coating allows external visualisation of key body parts required for ID • Requires high level training • Still investigating soft/hard specimens and what size and resolution. [...] • CSIRO, the Marine National Facility and the Ships of Opportunity that tow the CPR • Australian Antarctic Division and the Southern Ocean CPR program • All the members of the CSIRO plankton team Thank you Environment Felicity McEnnulty +61 3 325 150 felicity.mcennulty@csiro.au Australia’s National Science Agency References • Berry E, Saunders B, Coghlan M, Stat M, Jarman S, Richardson AJ, Davies.