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Presentation given during the IPY conference in Olso, Norway, in June 2010

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  1. 1. IPY, IYB…: freeing biodiversity data before the tipping point Bruno Danis, Mélianie Raymond
  2. 2. Antarctic Biodiversity • Highly adapted to extreme environment • High level of endemism • Mostly marine • Estimations: possibly 20.000 species • Under-studied (especially the deep sea) • Probably very sensitive to CC • but where’s the data?
  3. 3. Data availability • Art 3.1 of Antarctic Treaty • what? where? when? • widely disseminated, patchy, hardly accessible • (expensive) data and expertise are vanishing!
  4. 4. Sharing biodiversity data • science-based, adaptative conservation and management • testing fundamental theories • consolidation of the community • undisputed evidence of change/ shifts
  5. 5. SCAR-MarBIN Marine Biodiversity Information Network • • Main funding: Belgian science Policy office • International Polar Year 2007/08 • Census of Antarctic Marine Life • Ocean Biogeographic Information System • Global Biodiversity Information Network
  6. 6. ANTABIF Antarctic Biodiversity Information Facility • • Funding: Belgian science Policy office • International Year of Biodiversity • Evolution and Biodiversity in Antarctica • Australian Antarctic Division • Global Biodiversity Information Network
  7. 7. GBIF Global Biodiversity Information Facility •
  8. 8. GBIF’s Mandate ”To facilitate free and open access to biodiversity data worldwide, via the Internet, to underpin scientific research, conservation and sustainable development.” GBIF is govt-initiated, and govt. funded, in response to government agency needs in biodiversity information access and management; GBIF is in service to science, as a global ‘public good’
  9. 9. What is GBIF? GBIF is a global science/informatics NOT a research infrastructure: database or data aggregator • promoting global participation, linking up a global network of participants (decentralised structure); • enabling online publishing and sharing of biodiversity data; • Promoting development of data capture & exchange standards; • Building an informatics infrastructure; • Building capacity; • Catalysing development of analytical tools.
  10. 10. An intergovernmental initiative to share biodiversity information Currently: • 54 countries; • 44 International Organisations
  11. 11. Data shared online via GBIF (>201 million biodiversity records mapped to a 1 X 1 degree grid)
  12. 12. General philosophy • Build a network • Offer free and open access to data and technology • Expose all the (biodiversity) data and metadata • Remain community-driven • Adopt strong standardization • Work for science, conservation, management
  13. 13. Who’s in?
  14. 14. [results]: webportal taxonomy, biogeography vizualisation open access 725,000 visitors 5,075,000 hits 32,000,000 dld records V2alpha coming up
  15. 15. [results]: RAMS • The first RAMS • Board of 60+ editors all taxa all species • Feeds WoRMS, CoL and EoL valid species • 16,475 taxa 0 3,750 7,500 11,250 15,000 • 9,346 species
  16. 16. [results]: ANTOBIS 1,088,044 records 172 datasets 106 geodatasets 5,235 taxa Feeds OBIS, GBIF Downloadable WebGIS Webservices
  17. 17. [apps]: conservation World Summit on Sustainable Development, 2001: “establish comprehensive, effectively managed, and ecologically representative networks of marine protected areas by 2012” By 2010, collate relevant data for as many of the 11 priority regions as possible (and other regions as appropriate), and characterise each region in terms of biodiversity patterns and ecosystem processes, physical environmental features and human activities. By end 2011, submit proposals for candidate areas for protection to the CCAMLR Scientific Committee. By 2012, submit proposals on a representative system of Southern Ocean MPAs to the CCAMLR Commission.
  18. 18. [apps]: modeling Bivalve richness 10 environmental variables
  19. 19. [apps]: response to change Cope or adapt Move (deeper, south) Go extinct 1976 - 2003 Over 2-fold decrease / 10 years Over 2-fold increase / 10 years Atkinson et al 2004
  20. 20. [apps]: where should we look? Southern Limits Northern Limits Over 2-fold decrease / 10 years Over 2-fold increase / 10 years Barnes Atkinson et al 2004 et al., 2009
  21. 21. [apps]: expedition design Limopsis prediction model fits actual data map shows where to go
  22. 22. [apps]: expedition design Limopsis prediction model fits actual data map shows where to go
  23. 23. ! !"#$%&'(&#&)*+' ! [apps]: data exploration Strugnell J. British Antarctic Survey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
  24. 24. [apps]: gaps analysis • taxonomy: some groups under-represented • spatial: deep-sea, Amundsen sea,... • time: paleontology • huge datasets are missing
  25. 25. [projects] some examples ANTABIF ( SCAR-MarBIN V2 alpha Antarctic Field Guides Georeferenced genetic data Polar Macroscope Synthesis Antarctic Biodiversity Atlas
  26. 26. [main] Challenges Quickly evolving needs from the community Gaps in the data: taxonomy (microbes, kinetics??), spatial, temporal, institutional, IPY data Fear to publish (but happy to use) The community needs to value the publication of data Funding: hard to make a DB look sexy...
  27. 27. [vision] The future • Polar Information Commons (PIC): framework for long-term stewardship of polar data • ongoing applications: fill the gaps, strategic conservation planning, optimized expedition design,... • flying across disciplines...?
  28. 28. Jump in!