1. Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

2. Overview Methodology Taxonomic coverage Area of interest Geographic distribution Phylum level species and sampling distributions Major groups level species and sampling distributions Depth distributions Conclusions Polar Synthesis Macroscope Update Plea for help!

3. Methodology Cleaning of whole ANTOBIS database Depth data added to all benthic records using ETOPO2 data Species counts vs number of stations maps for each major phylum (nematoda, mollusca, cnidaria, echinodermata, chordata, arthropoda & annelida) Species counts vs number of stations maps for major groups: (fish, birds and mammals, pelagic & benthic) Depth analysis. Numbers of benthic stations & species by depth

4. SCAR-MarBIN & RAMS

5. Areas of interest

6. SCAR-MarBIN data distribution

7. All Species

8. Nematoda

9. Annelida

10. Cnidaria

11. Echinodermata

12. Mollusca

13. Chordata

14. Arthropoda

15. Summary Spatial & taxonomic coverage varies greatly between groups Major taxa “missing”: Sponges, Isopods, Pycnogonids, Bryozoans, Decapoda, Crinoidea & Brachiopoda Under-sampled & un-sampled areas: W. Weddell Sea, Amundsen Sea, deep sea

16. Benthic Species

17. Planktonic Species

18. Birds & Mammals

19. Fish

20. Summary Bias towards shallow, presence of bases and ship routes Overall dataset: bird & mammal observations and tags dominate the station analysis Benthic data drives overall pattern of species richness Concurrence between benthic data hotspots and station presence Fish and CPR observation data drive pelagic data patterns

21. Depth Analysis

22. Conclusions Sampling bias's drive many of the patterns Depth bias, massive under sampling in deep water for benthos Well sampled areas and groups are suitable for further analysis and predictions………..

23. Macroscope update 251 “Bi-polar” species- increased Arctic species list Physical classification of Ice-Oceans (benthic and pelagic) First comprehensive Arctic species list Diversity modelling

24. TemperatureDepth & Rugosity Distance From Shallows Benthic classification

26. Pelagic classification

27. Plea for help…….. New “bi-polar” species coordinator! New sponge dataset! More datasets needed for modelling and phylogenetic analysis