Transcript SinBIOTA - IC

SinBIOTA 2.0: Planning a New Generation
Environmental Information System
Prof. Carlos A. Joly & Prof.João Meidanis
University of Campinas & Scylla Bioinformatics
Sao Paulo State
250,000 Km2
97,656 sq.m
720 km coast
Sao Paulo State
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Development rates close to Spain,
France, Germany, Italy, UK
41,541,191 inhabitants (22% of Brazil)
US$ 450 billion GDP (33,4% of Brazil)
US$ 10,800.00/year per capita income
42% of Brazilian exports
Brazilian’s biggest sugar cane producer:
270 million t/y = US$ 5.65 billion/2007
(expected to increase 50% in five years)
MARCH 1999
www.biota.org.br
Based on the Convention of
Biological Diversity
Sample of BIOTA Data Records
Taxonomic
group
Number of
records
Number of
species
Higher plants
62600
5463
Mammals
8062
149
Reptiles
431
74
Birds
19742
520
Amphibians
17531
168
Fish
11620
349
Guidelines for biodiversity conservation and restoration in
the State of São Paulo.
The map produced by the BIOTA/FAPESP Program was adopted by
the State Secretary of Agriculture to prohibit sugar cane expansion in
the areas prioritize by the program for biodiversity conservation and
restoration.
Database of georeferenced Sao
Paulo’s Biodiversity
102.704 records
11.820 species
SinBIOTA
SinBIOTA: shortcomings
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hard to expanded with new modules
not portable
hard to replicate for other states or
regions
need to check geographic coordinates
for species occurrences
need to check spelling of species names
SinBIOTA 2.0: Plan for evolution
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Reference Document - Specification
Public call for implementation groups
Implementation (possibly one module at
a time)
Community Meeting: 2009
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300+ researchers and students
discussion of future directions for the
BIOTA Program
2 full days
resulted in “Science Plan & Strategies
for the Next decade”
suppl. material of Science paper
Community requirements
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Import all data from current system
Must be easily replicable and portable,
to allow use in other states and regions
Must be easily expandable, to allow
future inclusion of new modules
Community requirements (cont.)
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Built in dictionary of species names, to
avoid mistakes due to misspeling
Built in mechanism of data auditory, to
avoid mistakes due to wrong geographic
coordinates
Import/export mechanisms to/from
specialized tools (species distribution,
niche modeling, etc.)
TOOLS
Open
Modeler
DIVA Gis
MaxEnt
Expand carthographic base
Full interoperability
Fapesp/Microsoft Research
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Two-year, jointly funded project
Started Decembro 2009
Goals:
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Reference Document (specification) for
SinBIOTA 2.0
Implementation of prototype for SinBIOTA
2.0
Reference Document: topics
• Visits to users to get feedback
• Study of GBIF, OBIS, ALA, EOL, etc.
• Scalability and security of large DBs
• Multimodal data and search
• Survey of map systems
• Specialized tools (sp. distribution, etc.)
• Data mining, knowledge discovery
• Use of mobile clients
• Cloud computing
• Social networks
Current Database Schema
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Lack of integrity
constraints
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Each taxon rank
as individual
table
New Database Schema
Class Modeling + Object-Relational Mapping
Taxonomy Class/Table
Each taxon group is a row in Taxon table
Rank is attribute of taxon group
Explicit parent / child relationship
System architecture: prototype
Implementation with Bing Maps
Heat Map with Population
Color Map
United Nations' Human Development Index
Auto-complete
Cited links
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www.biota.org.br
www.biotaneotropica.org.br
sinbiota.cria.org.br
bioenfapesp.org
biota.cna.unicamp.br/bioprospecta
DOI: 10.1126/science.1188639
www.mp.sp.gov.br/portal/page/portal/cao_urbanismo_e_meio_ambiente/atos/Ato-PGJ565-09-metas-GAEMA.doc
www.cetesb.sp.gov.br/licenciamentoo/legislacao/estadual/resolucoes/2009_Res_SMA
_15.pdf
www.ambiente.sp.gov.br/zoneamentoagroambientalcana.pdf
Dankeschön
Thank you !
Thank you !