Transcript OBIS
Ocean Biogeographic Information System ‘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… • 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 • Data archaeology; discovery metadata • Provides the biogeographic context for oceanic biological research OBIS in context • IT 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 • Begin/end point of tracks (trawl) • Marine component of Species 2000 – World register of Marine Species (WoRMS) – http://marinespecies.org • Partner with IOC, FAO, IUCN, UNEP (WCMC) • Hosted by Rutgers University IMCS, funded by Sloan Foundation Governance • Federation of organisations – Which share a vision: free and open access to biodiversity information – Not a single project, with a single source of funding • Committees – Governing Board – Managers Committee • Managers of Regional OBIS Nodes – Science Board – Working groups Funding • RONs are self-supporting – Except for yearly meeting – Except for Sloan Grant to set up shop for most • Secretariat – Fully funded by Sloan till 2008 – 2/3 by Sloan from 2008-2010 – After 2010? Funding sources • Project funding – Proposals submitted to NSF and NOAA – Discussions with Fondation Total – ‘Help from our friends’ • Rutgers University in kind • Core business should not be critically dependent on project (=short term) funding: OBIS is long-term infrastructure Distribution of cod, Gadus morhua, shown as ‘csquares’ map OBIS records viewed 120000 100000 80000 60000 40000 20000 0 Mar-06 Oct-06 Apr-07 Nov-07 Jun-08 Dec-08 Jul-09 Web statistics Quality assurance • • • • Serve data from authoritative sources Cross-check data statistics and map User feedback buttons for each result Usage is part of quality control process • Editorial Board • Web statistics – monitor usage (citation system) • Develop peer-review system OBIS number of records • • • • 519 datasets 17 million distribution records 147,000 names, 104,000 taxa Among the largest provider to the Global Biodiversity Information Facility • Who’s providing data? – Regional OBIS Nodes – Census of Marine Life Map of CoML field projects 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 Some CoML Discoveries Ceratoserolis – an isopod from the Weddell Sea Athorybia rosacea – a siphonophore from the Sargasso Sea Promachoteuthis sloani – a squid from the mid-Atlantic Ridge Kiwa hirsuta – a crab from around Easter Island (nicknamed the Yeti crab) Palinurus barbarae – a lobster from around Madagascar Location of RONs OBIS Regional Node Architecture Global Node Regional Node Provider Global Database Regional Database Products All Data Subset of Data Public Accessibility GBIF IOBIS Data Found By IOBIS Not From Global Databases Regional Subset Regional Node With Local Datasets And Online Providers All data Global Datasets e.g. FAO, Hexacorallia Fishbase & Seamounts Online Providers Regional Node With Local Datasets Only RMB - March 14, 2004 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 New species are discovered Data from http://marinespecies.org 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 Global pattern of sampling effort Pattern in number of species Corrected for bias: ES(50) Large Marine Ecosystems Latitudinal gradient ES(50) es(50) 60 50 40 30 20 10 0 -100 -50 0 50 100 Marine fish to be discovered Percentage completeness 1 100 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 Predicting distribution of invasive species, Pterois volitans