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GLOBAL BIODIVERSITY

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Make primary biodiversity data openly and freely available over the Internet ... Example: The Cactus Moth Cactoblastis cactorum ... – PowerPoint PPT presentation

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Title: GLOBAL BIODIVERSITY


1
GLOBALBIODIVERSITY
INFORMATIONFACILITY
The Global Biodiversity Information Facility An
Interoperable Network of Primary Biodiversity
Databases Jim Edwards, Campinas, Brazil, 4 March
2004
WWW.GBIF.ORG
2
What is GBIF ?
  • A network of Participant nodes that
  • Make primary biodiversity data openly and freely
    available over the Internet
  • Use common standards for data and metadata
  • Encourage generation of additional content
  • Assure that data providers retain control of
    their own data
  • Provide access to biodiversity data through a
    single portal

3
Why was GBIF established?
  • Georeferenced biodiversity data of good quality
    and historical depth resides in the worlds
    natural history collections and observational
    databases
  • These data were being digitised in a haphazard,
    piecemeal fashion
  • GBIF was formed to help synergise and pull
    together species- and specimen-level databases
    and make them interoperable

4
Why was GBIF established?
  • Both biodiversity and biodiversity data are
    unevenly distributed around the world
  • GBIF is helping to redress the inequality of data
    distribution

5
GBIF ...
  • Was recommended by an OECD working group and
    endorsed by OECD science ministers
  • But is independent from the OECD
  • Is not part of the United Nations
  • But works closely with many UN bodies
  • Convention on Biological Diversity
  • World Conservation Monitoring Centre
  • Is based on a non-binding Memorandum of
    Understanding between countries and international
    organisations

6
Each Participant in GBIF agrees to
  • Share scientific biodiversity data
  • Develop an Internet node to access those data
  • In addition, Voting Participants agree to
  • Make a specific contribution toward GBIFs
    activities

7
GBIF Voting Participants 25
  • Netherlands
  • New Zealand
  • Nicaragua
  • Norway (Feb. 2004)
  • Portugal
  • Peru
  • Slovenia
  • South Africa
  • Spain
  • Sweden
  • UK
  • USA
  • Australia
  • Belgium
  • Canada
  • Costa Rica
  • Denmark
  • Estonia
  • Finland
  • France
  • Germany
  • Iceland
  • Japan
  • Republic of Korea
  • Mexico

8
GBIF Associate Participants 16 24
  • ALL Species Foundation
  • ASEANET
  • BioNET
  • BIOSIS
  • CABI Bioscience
  • EASIANET
  • European Commission
  • Expert Centre for Taxonomic Identification
  • Freshwater Biological Association
  • Inter-American Biodiversity Information Network
  • Integrated Taxonomic Information System
  • IUCN
  • NatureServe
  • Ocean Biogeographic Information System
  • SAFRINET
  • Société de Bactériologie Systématique et
    Vétérinaire
  • Species 2000
  • Taxonomic Databases Working Group
  • UNESCO Man and the Biosphere Program
  • Argentina
  • Austria
  • Bulgaria
  • Colombia
  • Czech Republic
  • Ghana
  • India
  • Madagascar
  • Morocco
  • Pakistan
  • Papua/New Guinea (Feb 04)
  • Poland
  • Slovak Republic
  • Switzerland
  • Taiwan
  • Tanzania

9
GBIFs focus is on primary data
  • Primary data result from the direct observation
    of nature, for example
  • A specimen of an organism
  • Banding a bird
  • Primary data can be used and reused to answer
    many kinds of questions, both scientific and
    societal
  • Georeferenced primary data can be analysed in
    many ways, e.g.
  • Choosing best sites for conservation areas or
    future biodiversity collecting efforts
  • Predicting effects of climate change on biota
  • Choosing best sites for GMO field trials
  • Predicting the spread of invasive species

10
What are GBIFs primary data ?
  • Label data on 1.5 - 3.0 billion specimens in
    natural history collections
  • Associated notes, recordings, observational
    databases, etc.
  • These data must be digitised in order to be
    shared and fully utilised

11
Example The Cactus Moth Cactoblastis cactorum
  • Study done by Jorge Soberon, CONABIO, Mexico, and
    collaborators
  • Cactoblastis devours every single species of
    prickly-pear (Platyopuntia) cactus that has been
    examined
  • In the US and Mexico there are more than 90
    species of Platyopuntia, many endangered, that
    are vital components of arid ecosystems.
  • In Mexico, Platyopuntia is the 10th most
    important agricultural product

12
Cactoblastis cactorum
Data points obtained from the NMNH, USA
13
Climate surface obtained by Floramap (12 layers)
14
Platyopuntia localities MNHSD, IBUNAM, ENCB,
MOBOT, NMNH, UAH
15
Predicted number of species of Platyopuntia
Opuntia lagunae Fotografías de la planta y el
fruto de Jon Rebman Fotografía de las flores de
George Lindsay http//www.oceanoasis.org/fieldgui
de/opun-lag-sp.html
16
Vulnerable areas to Cactoblastis (right climate
and right food)
Red isolines High similarity to climate in the
original Cactoblastis cactorum sites.
Blue regions Richness of species of
Platyopuntia.
17
What does GBIF do ?
  • GBIF has a set of tasks that is distinct from
    that of any other organization.
  • In order to promote the sharing and use of
    scientific biodiversity data by everyone, it
    focuses on four areas of activity
  • Digitisation of Natural History Collections
    (DIGIT)
  • Electronic Catalog of Names of Known Organisms
    (ECAT)
  • Data Access and Database Interoperability (DADI)
  • Outreach and Capacity Building (OCB)

18
GBIF contribution to interoperability
Until now, it has not been possible to combine
data from GenBank with specimen and ecological
data from other sources without painstaking work
by a person.
With GBIFs components in place, data can be
drawn directly from different sources with a
single query.
Compiled specimen, genetic, and ecological
information
19
Prototype of GBIF data portal now open for use
and comment
  • www.gbif.net
  • Currently contains gt12 million specimen and
    observational records,
  • Provided by more than 34 data record providers
    and about 20 names providers
  • Can search on scientific names (including
    synonyms), see record information, plot maps, get
    lists of taxa by country, etc.
  • Portal still in prototype stage
  • Expect to add many more records and to improve
    search methodologies throughout 2004
  • Please provide comments to help us improve it!!

20
GBIFs contributions to interoperability
  • Work with Taxonomic Databases Working Group
    (TDWG) to establish standards for data and
    interoperability
  • E.g., Darwin Core, DiGIR, GIS standards
  • Work with Catalogue of Life and others to finish
    Electronic Catalogue of the worlds scientific
    names by 2010
  • Including consensus taxonomy, synonyms, common
    names
  • Will be an authority file for use by all

21
GBIFs support for biodiversity informatics
  • Database components of several activities of the
    Convention on Biological Diversity
  • Clearing House Mechanism, Global Taxonomy
    Initiative, Global Strategy for Plant
    Conservation
  • Seed-money grants for digitisation and for
    developing components of the Electronic Catalogue
  • GBIF-UNESCO Chairs in Biodiversity Informatics
  • Begin 2005 with 4 chairs in developing countries,
    2 in developed
  • White papers on IPR, digitisation technologies,
    etc.
  • Training courses
  • Ebbe Nielsen Prize

22
Contact details
Jim Edwards jedwards_at_gbif.org www.gbif.org GBIF
Secretariat Universitetsparken 15 Copenhagen
2100 DENMARK New GBIF Secretariat
headquarters, supported by grant from Aage V.
Jensens Fonde
23
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24
GBIF Voting Participants 25
  • Netherlands
  • New Zealand
  • Nicaragua
  • Norway
  • Portugal
  • Peru
  • Slovenia
  • South Africa
  • Spain
  • Sweden
  • UK
  • USA
  • Australia
  • Belgium
  • Canada
  • Costa Rica
  • Denmark
  • Estonia
  • Finland
  • France
  • Germany
  • Iceland
  • Japan
  • Republic of Korea
  • Mexico

25
GBIF Associate Participants 15 24
  • ALL Species Foundation
  • ASEANET
  • BioNET
  • BIOSIS
  • CABI Bioscience
  • EASIANET
  • European Commission
  • Expert Centre for Taxonomic Identification
  • Freshwater Biological Association
  • Inter-American Biodiversity Information Network
  • Integrated Taxonomic Information System
  • IUCN
  • NatureServe
  • Ocean Biogeographic Information System
  • SAFRINET
  • Société de Bactériologie Systématique et
    Vétérinaire
  • Species 2000
  • Taxonomic Databases Working Group
  • UNESCO Man and the Biosphere Program
  • Argentina
  • Austria
  • Bulgaria
  • Colombia
  • Czech Republic
  • Ghana
  • India
  • Madagascar
  • Morocco
  • Pakistan
  • Poland
  • Slovak Republic
  • Switzerland
  • Taiwan
  • Tanzania

26
What is GBIF ?
  • GBIF is a megascience facility aimed at
  • Making the worlds biodiversity data freely and
    universally available via the Internet
  • Sharing primary scientific biodiversity data for
    society, science and a sustainable future

27
What is GBIF?
  • A distributed facility, comprising an ever-
    growing network of Participant nodes that
  • Share biodiversity data openly and freely
  • Use common standards for data and metadata
  • Encourage generation of additional content
  • Assure that data providers retain control of data

28
Why was GBIF established ?
  • Both biodiversity and biodiversity data are
    unevenly distributed around the world
  • GBIF was established, in large part, to redress
    the inequality of data distribution

29
Why was GBIF established ?
  • To undertake biodiversity informatics activities
    that must be accomplished on a worldwide basis in
    order to make the Internet into a highly
    valuable, dynamic library of biological
    information
  • To take on tasks not being attempted by other
    initiatives but which would be of benefit to
    those initiatives (e.g. CHM, GTI, others)
  • To make biodiversity databases interoperable
    among themselves and with molecular, genetic,
    ecological and other types of databases, thus
    increasing the value of all of them

30
True bioinformatics
bioinformatics
ecoinformatics
genomics
proteomics
biodiversity informatics
31
GBIF contribution to interoperability
Until now, it has not been possible to combine
data from GenBank with specimen and ecological
data from other sources without painstaking work
by a person.
With GBIFs components in place, data can be
drawn directly from different sources with a
single query.
Compiled specimen, genetic, and ecological
information
32
Data Interoperability...
Observational Dataset
6 records
35 records
Museum A
17 records
  • 81 records
  • Museum A Paris
  • Museum A Nice
  • Museum A Paris
  • Museum A Avignon
  • Museum A Avignon
  • Museum A Marseille
  • Observer X Norwich
  • Observer X Norwich
  • Observer X Southampton
  • . . .

Museum B
GBIF
Culture collection
0 records
33
GBIF deals with 1 biodiversity data
o
34
GBIF works cooperatively
  • Recently signed Memo of Cooperation with the
    Catalogue of Life partnership
  • Also work with the Taxonomic Databases Working
    Group of CODATA on data standards

35
Users and applications need data structured
according to standards
lt?xml version"1.0" encoding"UTF-8"?gt ltresponsegt
ltrecordgt ltdarwinDateLastModifiedgt2003-06-08lt/d
arwinDateLastModifiedgt ltdarwinInstitutionCodegt
DGHlt/darwinInstitutionCodegt ltdarwinCollectionC
odegtDGH Lepidopteralt/darwinCollectionCodegt ltdar
winCatalogNumbergtDGHEUR_0002976lt/darwinCatalogNu
mbergt ltdarwinScientificNamegtDichomeris
marginella (Fabricius, 1781)lt/darwinScientificNam
egt ltdarwinBasisOfRecordgtOlt/darwinBasisOfRecord
gt ltdarwinKingdomgtAnimalialt/darwinKingdomgt ltd
arwinOrdergtLepidopteralt/darwinOrdergt ltdarwinF
amilygtGelechiidaelt/darwinFamilygt ltdarwinGenusgt
Dichomerislt/darwinGenusgt ltdarwinSpeciesgtmargin
ellalt/darwinSpeciesgt ltdarwinScientificNameAuth
orgt(Fabricius, 1781)lt/darwinScientificNameAuthorgt
ltdarwinIdentifiedBygtDonald Hobernlt/darwinIden
tifiedBygt ltdarwinCollectorgtDonald
Hobernlt/darwinCollectorgt ltdarwinYearCollectedgt
2003lt/darwinYearCollectedgt ltdarwinMonthCollect
edgt06lt/darwinMonthCollectedgt ltdarwinDayCollect
edgt08lt/darwinDayCollectedgt ltdarwinContinentOce
angtEuropelt/darwinContinentOceangt ltdarwinCountr
ygtDenmarklt/darwinCountrygt ltdarwinCountygtGentof
te Amtlt/darwinCountygt ltdarwinLocalitygtMerianve
j, Helleruplt/darwinLocalitygt ltdarwinLongitudegt
12.538lt/darwinLongitudegt ltdarwinLatitudegt55.73
7lt/darwinLatitudegt ltdarwinCoordinatePrecisiongt
100lt/darwinCoordinatePrecisiongt ltdarwinIndivid
ualCountgt1lt/darwinIndividualCountgt ltdarwinNote
sgt1 in Skinner traplt/darwinNotesgt lt/recordgt lt/re
sponsegt
Observation record formatted using the Darwin Core
36
GBIF Information Architecture
User Requests
GBIF Data Nodes
Biodiversity Data Access Portal
Biodiversity Data Index
Catalogue of Life
Taxo-nomic Name Service (ECAT)
37
Web services enable the aggregation of structured
data
Web Services
Data indexing registry are part of these
Heterogeneous Databases
Standardised Structured Data
38
But it isnt an easy task...
which is why GBIF is a megascience activity...
and why training in biodiversity informatics is
needed
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