Eia Data Publishing Infra Tech March2010
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Biodiversity Informatics in Biodiversity Informatics in Sustainable Resources Management: Sustainable Resources Management: Challenges and Potentials Challenges and Potentials nternational Conference on Biodiversity and Livelihoods 6-26 March 2009 oonoor, INDIA Vishwas Chavan GBIF
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Presented at the EIA Biodiversity Data Publishing Workshop at SANBI, Cape Town, South Africa during 2-4 March 2010
Transcript of Eia Data Publishing Infra Tech March2010
Biodiversity Informatics in Biodiversity Informatics in Sustainable Resources Management: Sustainable Resources Management:
Challenges and PotentialsChallenges and Potentials
International Conference on Biodiversity and Livelihoods26-26 March 2009Coonoor, INDIA
Vishwas ChavanGBIF
Earth…. Only known ‘Planet’ that nurtures life….
But, it’s changing fast….
….and is affecting biodiversity
Coral bleaching
….and is affecting human beings
….and is affecting human beings
“Biodiversity knowledge Catastrophe”
….but the worst catastrophe is knocking
Where can I find information about
Lions, Tigers, Frogs, and….
What is needed……....
Content
Content
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ContentContentContent
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infrastructure
Connectivity
“a priori model” than “a posteriori model”
DataData
Data
Data
Data
DataData
Data
Data
Data
Data
Communication skills
Content
Content
DataData
Data
Data
DataData Data
Teaching skills
syllabus
Uses of Primary Biodiversity Data
Current suitability for agriculture
Future suitability for agriculture
18 GCM models, A2a scenario
Change in global suitability
Number of crops that lose out
Number of crops that gain
More Examples
Gmin: 60, Gmax: 100Ttmp:0, Tmin: 7, TOPmn: 16, TOPmx: 27, Tmax: 32Rmin: 220, ROPmn: 350, ROPmx: 900, Rmax: 1500
Current suitability for common beanCurrent suitability for common bean
Gmin: 60, Gmax: 100Ttmp:0, Tmin: 7, TOPmn: 16, TOPmx: 27, Tmax: 32Rmin: 220, ROPmn: 350, ROPmx: 900, Rmax: 1500
Future suitability for common beanFuture suitability for common bean
Change in bean suitabilityChange in bean suitability
Hence, we must recognize Bio(Diversity), Hence, we must recognize Bio(Diversity), Informatics as corner stone for future Informatics as corner stone for future economy, social, and environmental economy, social, and environmental well being.well being.
Biodiversity Informatics: Definition and History
“the application of information technologies, to the management, algorithmic exploration, analysis, and interpretation of primary data regarding the life, particularly at the species level of organization”
Soberon and Peterson (2004)
Historical Context1992 – Rio de Janeiro “Earth Summit” –Convention on Biological Diversity
- CBD Article 17, 18(3) – Clearing House Mechanism (CHM)- John Whiting used the term “Biodiversity Informatics”
1996 - OECD Megascience Forum on Biological Informatics2001 - Global Biodiversity Information Facility2003 - The Global Biodiversity Challenge – “2010 Targets”2004 - International Mechanism of Scientific Expertise on Biodiversity (IMoSEB)
- DIVERSITAS Open Science Conference2007 - G8+5 Environment Ministers – Postdam Initiatives
- SpeciesBase: Global Species Information System- Encyclopedia of Life
2008 - GBIF sets goal of discovery of 5bn and mobilisation of 2bn data records by 2011
- GEO-BON2008 - eBioSphere 09 conf at London, June 1-3, 2009
Biodiversity Informatics: The State of the ArtEarly work in BI could be traced back to 1970 – Australian
Herbarium Digitization
Mobilizing Biodiversity Data– Catalogue of Known Biota– Specimen and Observation Data– Environmental and Ecological Data
Standards, Protocols, and Tools– Standards and Protocols –TDWG promoted standards– Collection Management Tools– Data Cleaning Tools– Modeling Tools– Web Services and Computational tools
Informatics Infrastructure BuildingERIN, HISPID, CONABIO, INBio, BIN21, US NBII, OBIS, GISIN, CBD-CHM, ERMS, ENHSIN, BioCASE, TDWG, ENBI, LifeWatch, ETI, Fauna Europea, CRIA (Brazil), ITIS, Species2000, NatureServe, TaiBIF, BioGIS (Israel), CBIF (Canada), ILDIS, IABIN, NABIN, InfoNatura, EoL, EDIT, LifeWatch, GEO-BON, Scratchpads, etc.
Capacity Building, Outreach, and Open Access InitiativesCODATA, WSIS, CBD, GBIF, Gaikwad and Chavan (2006)
Over 1500 resources – BIR (Biodiversity Information Resources)
BIR: Analysis
Metadata of 1383 resources documented
Less resources on lower kingdomsAnimalia (50%), Plantae (30%), Fungi (8.39%), Bacteria (1.14%)
Less resources with local coverage
90% of resources are databases and databanks
Progress in biodiversity informatics is uneven and imbalanced similar to
biodiversity and biodiversity information
Geographic Scope
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301 285239
0100200300400500600
Global National Local RegionalGeographic location type
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Database/Databank90.75%
Other9.25%
St/ Pr/ Sc0.65%
ST3.76%
IS/ IN4.84%
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Taxa
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Types of databases/databanks
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Large volume of biodiversity data and information is in languages
other than English
Biodiversity Informatics
activities are concentrated in the North
Biodiversity Informatics in Mega-Biodiversity World: Why?
Three Arguments– Exploding Population – A National Challenge– Natural Resources based economics– Emerging Knowledge Catastrophe
Biodiversity Informatics in India - Status– Enormous data– Isolated, distributed, heterogeneous forms and formats– Data is in “prison”- cultural barrier of sharing data
Sporadic biodiversity initiatives in IndiaENVIS, BTISNet, ARISNETNBSAP called for implementation of Indian Biodiversity Information System (IBIS)NBDB – Indian Biodiversity Information NetworkBiological Diversity Act 2002 – Peoples Biodiversity RegisterFew institutions – NCL, ATREE, UAS, CES, FRLHT, NIO, etc.
Collectiondatabases
Observationaldatabases
Ecological andenvironmental data
Conservationdatabases
Literaturereferences and articles
GIS and remote sensing
data
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Peoples BiodiversityAnd TKDL
Experts and Institutions
Current Scenario: Especially in Megabiodiversity WorldWealth of distributed data, heterogeneous, and isolated datasets !
GBIF Mandate
Priorities: mobilising biodiversity data, developing protocols and standards building a global informatics architecture promoting capacity building, and catalysing development of scientific analytical
tools for improved decision-making
-to facilitate free and open access to biodiversity data worldwide, via the Internet, to underpin scientific research, conservation and sustainable development.
Seamless integration of data from many sources
Searches Taxonomic Geographic, by
country, region, or bounding-box
By dataset or a combination of these
Taxonomic browse navigation using choice of classification
Web services
The GBIF Data Portal
GBIF primary biodiversity data
2 bn data records target......
Digital
Biodiversity Data
Data mobilisation is like moving mountains…….
Local Action is the key to achieve
‘Global Dreams’
IndFauna, Electronic Catalogue of Known
Indian Fauna
IndCollection – National Natural History
Management Information System
SaGrIS, Sacred Groves Information System
SaGrIS Mapper
SaGrIS would SaGrIS would encourage encourage efficient efficient conservation conservation and natural and natural resources resources management management of these of these specialized specialized ecosystems.ecosystems.
Talk the languages that people understand the
best
Data Exchange Standards are the key
Data Exchange Standards
Darwin Core (DwC) Access to Biological Collections Data (ABCD)
Primary occurrence records
Natural history collections Natural Collections Descriptions (NCD)
Taxon level information Taxon Concept Schema (TCS) Species Profile Model (SPM) Plinian Core
Ecological data
Geospatial data
Ecological Metadata Language (EML)
Geography Markup Language (GML)
Success Mantras’
Think Globally – Act Locally Biodiversity Informatics is a ‘TeamWork’ Collaborations is the ‘Key’ to success Leverage upon past, present investment Plan for ‘Data Publishing Framework’ Domain Experts involvement is MUST ‘Discovery’ first, followed by ‘Mobilisation’ Work beyond ‘comfort’ zone Scope for every one Work with those willing to work Ready to be ignored treated as competitor
compulsive compliments SUCCESS! Dedication, Consistence, Perseverance
Species Forecast
Eco Report
BioAlert
SpeciesMonitor
Dreams can come true!!!
“Teaming Together”
Thank You!
