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Ocean Biogeographic Information System

Ocean Biogeographic Information System. Edward Vanden Berghe. ‘Mission’. OBIS publishes primary data on marine species locations online through www.iobis.org It facilitates data discovery and exploration by Searching by species, higher taxa, time, location, depth, data set

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Ocean Biogeographic Information System

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  1. Ocean Biogeographic Information System Edward Vanden Berghe

  2. ‘Mission’ • OBIS publishes primary data on marine species locations online through www.iobis.org • It facilitates data discovery and exploration by • Searching by species, higher taxa, time, location, depth, data set • Mapping observed occurrences • Modelling of potential environmental range • Integrates data over marine themes • Microbes to whales • Genetics and morphology • Poles to equator… • Enables data capture for re-use

  3. OBIS in context • Data integration component of CoML • Capturing and integrating data • Support the 2010 synthesis • Marine component of GBIF • Fully inter-operable with GBIF standards • Extending with marine-specific elements • Marine component of Species 2000 • World register of Marine Species (WoRMS) • http://marinespecies.org • Partner with FAO, UNEP (WCMC) • Part of IOC/IODE • Hosted by Rutgers University IMCS • Funded by Sloan Foundation

  4. OBIS functions • More than a database, is a community of practice • Seeks out new datasets • Develops standards for data exchange and management • Develops software tools for online use • Data system very visible product of community • Caches species distribution data from many databases • Creates taxonomic and geographic indices • Makes all data freely accessible online

  5. Distribution of cod, Gadus morhua, shown as ‘c-squares’ map

  6. Predicting distribution of invasive species, Pterois volitans

  7. OBIS records viewed

  8. OBIS number of records • >700 datasets • 21 million distribution records • 147,000 names, 104,000 taxa • Among the largest provider to GBIF • Who’s providing data? • Regional OBIS Nodes • Census of Marine Life

  9. Map of CoML field projects

  10. CoML & Ocean Observing An example of how CoML technologies can be implemented in earth and ocean observing systems Some animals dive 1000m 7 seals tracked during 2-3 month summer feeding migrations

  11. Location of RONs

  12. Role of the regional nodes • Ensuring true global cover for OBIS • Better serving local/regional needs • Regional nodes are closer to the providers of the data • Local visibility for global OBIS data • Mobilise data from region • Technical assistance, also with standardisation • Specialised information products and services • Data available on the regional network are also available on the global network • Increased global visibility for local data and data providers • Data sharing

  13. RONs in CarSA Tropical and subtropical Western Atlantic Fabio Lang da Silveira Brazil, University of Sao Paulo Argentina (also very active in Antarctica) Argentina, Centro Nacional Patagónico Mirtha Lewis South-East Pacific Chile, FONDAP COPAS Ruben Escribano Active groups in Venezuela and Columbia Preliminary discussions in Mexico (UNAM)

  14. Still a lot of work… • We don’t know the total biodiversity • New species are discovered • Selective sampling in geography • Mostly in surface waters • Temperate zones • Selective sampling in taxonomy • Mostly big things, vertebrates

  15. New species are discovered Data from http://marinespecies.org

  16. Geographical bias

  17. Bias in depth: deeper than 2500m

  18. Taxonomic bias Taxon # species # in OBIS % Cetaceans 133 117 88 Seals… 45 36 80 Fish 24139 21258 88 Echinoderms 6199 1624 26 Decapods 8227 3796 46 Bryozoans 6000 1096 18

  19. Analysis of OBIS data • First attempts at diversity pattern on a global scale, with a large number of taxa • Previously either local or on one taxon (e.g. commercial large fish like tuna, forams…) • ‘Safety in numbers’ • Results not affected by idiosyncrasies of single taxon or study • Results very preliminary, and need data cleaning and further checking • E.g. by artificially removing datasets from analysis

  20. Species richness: ES(50)

  21. Marine fish to be discovered Mora et al (2007). The completeness of taxonomic inventories for describing the global diversity and distribution of marine fishes. Proc. R. Soc. B, published on line Percentage completeness 1 100

  22. Collaboration? • Forging links between RONs and NODCs • Assisting RONs with data mobilisation • Government agencies • Marine Atlas • Biodiversity component • Creation of local portals integrating physical oceanography and biodiversity

  23. Get in touch • www.iobis.org • team@iobis.org, evberghe@iobis.org

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