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

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

Quantifying Antarctic marine biodiversity and richness using

SCAR-MarBIN

Huw Griffiths Bruno Danis and Andrew Clarke

Page 2: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

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!

Page 3: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

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

Page 4: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

SCAR-MarBIN & RAMS

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% Species

% Records

Page 5: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

Areas of interest

Page 6: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

SCAR-MarBIN data distribution

Page 7: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

All Species

Page 8: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

Nematoda

Page 9: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

Annelida

Page 10: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

Cnidaria

Page 11: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

Echinodermata

Page 12: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

Mollusca

Page 13: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

Chordata

Page 14: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

Arthropoda

Page 15: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

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

Page 16: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

Benthic Species

Page 17: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

Planktonic Species

Page 18: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

Birds & Mammals

Page 19: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

Fish

Page 20: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

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

Page 21: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

Depth Analysis

Page 22: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

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………..

Page 23: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

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

Page 24: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

Temperature Depth & Rugosity Distance FromShallows

Benthic classification

Page 25: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke
Page 26: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

Pelagic classification

Page 27: Quantifying Antarctic marine biodiversity and richness using SCAR-MarBIN Huw Griffiths Bruno Danis and Andrew Clarke

Plea for help……..

• New “bi-polar” species coordinator!• New sponge dataset!• More datasets needed for modelling and

phylogenetic analysis