pål buhl-mortensen institute of marine research atlantic seabed mapping – status & direction...
TRANSCRIPT
Pål Buhl-MortensenInstitute of Marine
Research
Atlantic Seabed Mapping – Status & Direction
Towards a CAN-EU-US Atlantic strategic seabed mapping pilot initiative:highlighting current drivers, approaches, activities, and priorities, and
future opportunities, challenges and aspirations
Galway Statement Implementation – Atlantic Seabed Mapping WorkshopDublin Castle, Dublin, 1st – 2nd December 2014
The North Atlantic
• ~20 mill km2
• Mean depth ~ 3900m• Greatest depth 8380m
Example: MAREANO mapping programme
• Started 2006• Total area covered
with MBE: 131 000 km2
• € 6.5 mill/yr• € 0.4 mill/1000 km2
N Atlantic:• € 6.5 billion• € 130 mill/yr – 50 yr
Realistic approaches
• Focus on priority areas• Instrumentation of
commercial vessels• AUV etc• Representative
areas/transects
Bathymetry – terrain descriptors at relevant scales
Spatial information for decision support
3. Sampling
Biological/geological sampling of a selection of video locations
2. Video surveys
Visual documentation of ~0.1‰ of the MBE- mapped seabed
1. Multibeam mapping
II. Unsupervised classification
I. Terrain analyses
VIII. Selection of sampling locations
Environmental proxies
Biotope distribution
Biological values(Biodiversity, vulnerability, productivity, etc)
Sed
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Mar
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cean
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IV. Selection of video survey locations
VII. Predictive modeling of biotopes
VI. Faunal classification
V. Video analyses
Map
pin
g activities
Environmental variables
III. Oceanographic modeling
Gaps and challenges
• Efficient use of existing data
• Efficient collection of new data
• Multibeam surveying• Biotope characterisation
• analyses of imagery• Collection of bottom samples
• Use of classifications• Communities and
environment• Unified systems (CMECS,
EUNIS, NiN etc)
• Ecosystem functions/monitoring (selection of locations)
Suggestions and solutions
• Data repositories (PANGEA EMODNET) – Digitization of historic data
• Instrumentation of commercial vessels, Autonomous vehicles
• Semi-automatic image analyses/annotation tools
• Sampling designs supervised by spatial info on environmental/habitat variation
• Develop common systems for describing ecosystems/biotopes
• Develop functional definitions that enable comarisons between areas
• Selection of locations/biotopes/ indicators guided by spatial information on pressures, vulnerability and environmental relationships