Title: P1252428258qzWKF
1Web Portal
John Wieczorek Lead Developer, REBIOMA Museum of
Vertebrate Zoology University of California,
Berkeley
2Case Study Network of Madagascar Occurrences
3Global Objective
To serve up-to-date, validated biodiversity
occurrence data for the conservation community in
Madagascar.
4Madagascar, All Taxa, All Occurrences
5Global Objective
To serve up-to-date, validated biodiversity
occurrence data for the conservation community in
Madagascar.
6What data are being shared?
Who collector, observer What taxon,
observation Where collection, locality When
date observed/collected
7Darwin Core (DwC)
A list of concepts (data fields) needed for
questions based on biodiversity occurrence data.
8Darwin Core (DwC)
Who?
GlobalUniqueIdentifier BasisOfRecord DateLastModif
ied ScientificName IdentifiedBy Collectors Collect
ingMethod Sex LifeStage Attributes IndividualCount
HigherGeography Locality DecimalLatitude DecimalLo
ngitude GeodeticDatum MaximumUncertainty Georefere
nceProtocol GeoreferenceSources EarliestDateCollec
ted LatestDateCollected InformationWithheld
http//wiki.tdwg.org/DarwinCore/
9Darwin Core (DwC)
What?
GlobalUniqueIdentifier BasisOfRecord DateLastModif
ied ScientificName IdentifiedBy Collectors Collect
ingMethod Sex LifeStage Attributes IndividualCount
HigherGeography Locality DecimalLatitude DecimalLo
ngitude GeodeticDatum MaximumUncertainty Georefere
nceProtocol GeoreferenceSources EarliestDateCollec
ted LatestDateCollected InformationWithheld
http//wiki.tdwg.org/DarwinCore/
10Darwin Core (DwC)
Where?
GlobalUniqueIdentifier BasisOfRecord DateLastModif
ied ScientificName IdentifiedBy Collectors Collect
ingMethod Sex LifeStage Attributes IndividualCount
HigherGeography Locality DecimalLatitude DecimalLo
ngitude GeodeticDatum MaximumUncertainty Georefere
nceProtocol GeoreferenceSources EarliestDateCollec
ted LatestDateCollected InformationWithheld
http//wiki.tdwg.org/DarwinCore/
11Darwin Core (DwC)
When?
GlobalUniqueIdentifier BasisOfRecord DateLastModif
ied ScientificName IdentifiedBy Collectors Collect
ingMethod Sex LifeStage Attributes IndividualCount
HigherGeography Locality DecimalLatitude DecimalLo
ngitude GeodeticDatum MaximumUncertainty Georefere
nceProtocol GeoreferenceSources EarliestDateCollec
ted LatestDateCollected InformationWithheld
http//wiki.tdwg.org/DarwinCore/
12Darwin Core (DwC)
Details
GlobalUniqueIdentifier BasisOfRecord DateLastModif
ied ScientificName IdentifiedBy Collectors Collect
ingMethod Sex LifeStage Attributes IndividualCount
HigherGeography Locality DecimalLatitude DecimalLo
ngitude GeodeticDatum MaximumUncertainty Georefere
nceProtocol GeoreferenceSources EarliestDateCollec
ted LatestDateCollected InformationWithheld
http//wiki.tdwg.org/DarwinCore/
13Darwin Core (DwC)
Record Metadata
GlobalUniqueIdentifier BasisOfRecord DateLastModif
ied ScientificName IdentifiedBy Collectors Collect
ingMethod Sex LifeStage Attributes IndividualCount
HigherGeography Locality DecimalLatitude DecimalLo
ngitude GeodeticDatum MaximumUncertainty Georefere
nceProtocol GeoreferenceSources EarliestDateCollec
ted LatestDateCollected InformationWithheld
http//wiki.tdwg.org/DarwinCore/
14A Simple DistributedDatabase Network
http//www.tdwg.org/activities/tapir/
15Conservation Applications
Models Database
User Queries, Visualization
Automated Modeling
Validated Occurrence Data
Human Expert Review
Automated Validation
Distributed Data Network
Occurrence Data
Occurrence Data
Occurrence Data
16Global Objective
To serve up-to-date, validated biodiversity
occurrence data for the conservation community in
Madagascar.
17Conservation Applications
Models Database
User Queries, Visualization
Automated Modeling
Validated Occurrence Data
Human Expert Review
Automated Validation
Distributed Data Network
Occurrence Data
Occurrence Data
Occurrence Data
18Automated Data Validation
Taxonomy Digital Taxonomic Thesaurus Geography
BioGeomancer
19Conservation Applications
Models Database
User Queries, Visualization
Automated Modeling
Validated Occurrence Data
Human Expert Review
Automated Validation
Distributed Data Network
Occurrence Data
Occurrence Data
Occurrence Data
20Conservation Applications
Models Database
User Queries, Visualization
Automated Modeling
Validated Occurrence Data
Human Expert Review
Automated Validation
Distributed Data Network
Occurrence Data
Occurrence Data
Occurrence Data
21Conservation Applications
Models Database
User Queries, Visualization
Automated Modeling
Validated Occurrence Data
Human Expert Review
Automated Validation
Distributed Data Network
Occurrence Data
Occurrence Data
Occurrence Data
22Conservation Applications
Models Database
User Queries, Visualization
Automated Modeling
Validated Occurrence Data
Human Expert Review
Automated Validation
Distributed Data Network
Occurrence Data
Occurrence Data
Occurrence Data
23Human Expert Review
Taxonomic Review Board Experts notified of new
records Experts flag suspect records
24Conservation Applications
Models Database
User Queries, Visualization
Automated Modeling
Validated Occurrence Data
Human Expert Review
Automated Validation
Distributed Data Network
Occurrence Data
Occurrence Data
Occurrence Data
25Conservation Applications
Models Database
User Queries, Visualization
Automated Modeling
Validated Occurrence Data
Human Expert Review
Automated Validation
Distributed Data Network
Occurrence Data
Occurrence Data
Occurrence Data
26Global Objective
To serve up-to-date, validated biodiversity
occurrence data for the conservation community in
Madagascar.
27Conservation Applications
Models Database
User Queries, Visualization
Automated Modeling
Validated Occurrence Data
Human Expert Review
Automated Validation
Distributed Data Network
Occurrence Data
Occurrence Data
Occurrence Data
28REBIOMA Result Map
29Conservation Applications
Models Database
User Queries, Visualization
Automated Modeling
Validated Occurrence Data
Human Expert Review
Automated Validation
Distributed Data Network
Occurrence Data
Occurrence Data
Occurrence Data
30Automated Modeling
Linked to environmental data Choice of model
algorithms Choice of scenarios Update models as
data change
31Conservation Applications
Models Database
User Queries, Visualization
Automated Modeling
Validated Occurrence Data
Human Expert Review
Automated Validation
Distributed Data Network
Occurrence Data
Occurrence Data
Occurrence Data
32User Queries,Visualization
Heteropsis parva
2000
33Conservation Applications
Models Database
User Queries, Visualization
Automated Modeling
Validated Occurrence Data
Human Expert Review
Automated Validation
Distributed Data Network
Occurrence Data
Occurrence Data
Occurrence Data
34Conservation Applications
Conservation Planning Protected Area
Design Planning for Climate Change Monitoring
Biodiversity Business Ecotourism Development
Plans Environmental Impact Statement Science Bi
ogeographic Analyses Identifying New Survey Areas
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