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Ocean Biogeographic Information System

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45 36 80 Fish 24139 21258 88 Echinoderms 6199 1624 26 Decapods 8227 3796 46 Bryozoans 6000 1096 18 Analysis of OBIS data First attempts at diversity pattern on a ... – PowerPoint PPT presentation

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Title: Ocean Biogeographic Information System


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
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6
Distribution of cod, Gadus morhua, shown as
c-squares map
7
Predicting distribution of invasive species,
Pterois volitans
8
OBIS records viewed
9
OBIS number of records
  • gt700 datasets
  • 21 million distribution records
  • 147,000 names, 104,000 taxa
  • Among the largest provider to GBIF
  • Whos providing data?
  • Regional OBIS Nodes
  • Census of Marine Life

10
Map of CoML field projects
11
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
12
Location of RONs
13
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

14
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)

15
Still a lot of work
  • We dont 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

16
New species are discovered
Data from http//marinespecies.org
17
Geographical bias
18
Bias in depth deeper than 2500m
19
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

20
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

21
Species richness ES(50)
22
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

23
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

24
Get in touch
  • www.iobis.org
  • team_at_iobis.org, evberghe_at_iobis.org
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