Transcript Using U.S. and Canadian Atlantic Research Trawl Surveys to

Using U.S. and Canadian Atlantic
Research Trawl Surveys to Lead
Development of a Standards
Based Ocean Observing System
R. Branton1, J. Black1, J. McRuer1, M. Fogarty2
1Bedford
Institute of Oceanography
2Woods Hole Laboratory of the Northeast Fisheries Science Centre
Basis of this Presentation
Trawl surveys are:
• widely used for assessing populations of
bottom dwelling fish and invertebrates,
• a rich source of in-situ measurements for
ground truthing and augmentation of
remotely sensed data,
• leading development of standards based
ocean observing systems.
Canadian and United States
Trawl Surveys
Canada
1) Bedford Institute of
Oceanography
2) Gulf Fisheries Centre
3) Institute Maurice
Lamontagne
3
4) North West Atlantic
Fisheries Centre
5) Saint Andrews
Biological Station
United States
6) Northeast Fisheries
Science Center
4
2
5
6
1
Types of Observations
For 400+ species:
• total weight caught
• total number caught
• count at length
For some species:
• individual length and
weight
• sex, maturity and age
Types of Results
• Species Distribution
• Fish Stock and
Population Trends
• Species Life History
• Environmental
Preferences
Next Steps
Under Canada’s GeoConnections Access Program:
• create ANSI/ISO metadata and extend BIO access
facilities to support these standards,
• serve annually updated population & distribution
products for 99 species presently on ECNASAP site,
• expand population & distribution products to include all
400+ species,
• where possible, provide estimates for juvenile and adult
stock components,
• assist other NW Atlantic fisheries laboratories to establish
similar facilities.
Gulf of Maine Biogeographical
Information System
Bedford Institute
of Oceanography
NOAA Northeast
Fisheries Science
Center
Huntsman
Marine Science
Center
Objectives
• Improve Underlying Taxonomic Collections
– Digitize entire Atlantic Reference Centre fish
collection, not only for Gulf of Maine but also a
major portion of the NW Atlantic,
– Create electronic atlas to facilitate study of
taxonomic collections for selected areas of
ocean bottom.
Next Steps
Under Canada’s GeoConnections Access Program:
• establish common minimum data and image capture
facilities for CMB members,
• extend ANSI/ISO metadata facilities at BIO to include
CMB member data,
• extend electronic atlas to include all available Atlantic
Canada taxonomic collections,
• extend atlas to cover all 3 of Canada’s oceans.
Supporting the Global
Spatial Data Infrastructure
Underlying Concerns
• Need for a conceptual model that simply describes
what we should be doing.
– ever growing collections of highly detailed data not
being integrated into a collective whole and effectively
used for decision making.
– making sense of and exploiting the growing and diverse
constructs and technologies presently transforming the
information management paradigm.
Information Ecosystem
• Satisfying organization needs
is the primary goal when
building an information
infrastructure,
• Issues of complexity and
efficiency, although important
are secondary,
• Operational systems provide
the data from which
intelligence and management
information is ultimately
derived.
Needs
Intelligence
Management
Data
Management
Model
Operations
Complexity
Efficiency
Understanding Needs
Types of Users
• Explorers - irregular access,
looking for relationships in the
data, need tools for analysis,
• Farmers - regular access,
knows what they are looking
for, predictable, needs tools for
presentation,
• Tourists - looks at lots of data
on a random basis, often not at
same data twice, making heavy
use of metadata.
Types of Analysis
• Structured - mostly farmers
and the occasional tourist
analyzing data for future
possible action,
• Operational - mostly farmers
analyzing data for immediate
action,
• Exploratory - mostly
explorers and some tourists
Making Data Into Information
International
Metadata
Standards
D
A
T
A
Operational
Systems
Quality
Control
Reports
Transform
Integrate
and
Quality
Control
Data
Warehouse
Data
Marts
Operational
Data Store
Off line
Storage
Portals
and
Clearinghouses
Intranet
Firewall
Internet
Web
Services
I
N
F
O
R
M
A
T
I
O
N
Risks
• If we proceed without a conceptual model,
differences in data management practices
between the various specialist groups and
regions will continue to grow.
• Continued difficulty with understanding the
technical needs and resource levels both
inside and outside of science.