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EUSeaMap: Development & assessment of a European broadscale seabed habitat map. Natalie Coltman, JNCC, UK Progress meeting: 25 May 2010, Copenhagen. Outline. Work done: work packages & progress Unexpected difficulties Feedback from potential users Information from other EMODNET projects - PowerPoint PPT Presentation
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Natalie Coltman, JNCC, UKProgress meeting: 25 May 2010, Copenhagen
Outline
Work done: work packages & progress
Unexpected difficultiesFeedback from potential usersInformation from other EMODNET
projectsTimetable for rest of project
Prototype portal demonstration
Biologically relevant?Represented in EUNIS?
e.g.Depth
e.g.Seabed salinity
e.g.Sediment type
A reminder!
Work packages and progress
WP1 – methodology WP2 – data preparation finalising layersWP3 – validating thresholds biological
analysisWP4 – modelling & confidence test runs; fuzzy
classifiersWP5 – disseminating data prototype portal
online
WP9 – reporting interim report
Finalising layersData type Baltic North Celtic W
Med
Substrate
Bathymetry Light Wave energy at seabed
* *
Tidal energy at seabed
* *
Salinity at seabed *Dissolved O2
Stratification
Substrate
Received draft EMODNET Geology substrate layer
Continued data collation in W Mediterranean
Standardising substrate layer for W Mediterranean
Substrate – N, Celtic & Baltic
Sediment: EMODNET
Bathymetry
Received draft EMODNET gridded bathymetry
North & Celtic Seas: draft layer prepared in anticipation of EMODNETGEBCO & UK national data
W Med: gridded bathymetry prepared under EMODNET (IEO)
Baltic: BALANCE bathymetry
Light reaching seabed
Baltic based on Secchi disc
measurementswater depth/Secchi disc
depthcomparison to remote
sensing data
North & Celtic Seas, W MedMERIS satellite data1km resolution 250mimproved algorithm for
coastal zones
Light – North, Celtic, W Med
MERIS 1km 250m
Waves – North, Celtic & BalticBaltic & North Seas
DHI model (extent only)
Celtic & North Seas DHI model within 6km
of coast & POL model beyond
25m resolutionBased on fetch
Inshore wave model (Aquabiota SWM)
Tidal energy
Baltic & North Seas – DHI modelCeltic & North Seas – POL models
CS20CS3XNEA
W Med North of 39°N– 1km MENOR modelSouth of 39°N– 6km MFS model
Increasingly coarse models
Energy – W Med
90% maximum bed shear stress for waves and currents combined: December 2008 (Nm-2)
No tides but wind-driven currents and waves
6km resolution
Salinity, O2Baltic
horizontal & vertical salinityO2 to identify a permanent anoxic zone
Celtic & North Seassalinity to identify estuarine areas
W Med no salinity/O2 data required
Thresholds: W Med Infralittoral
Infralittoral zone defined by extent of Posidonia meadows
Mapped extent of healthy meadows used to determine minimum light values
Range of 0.84 – 1.08% surface light reaching the seabed to describe infralittoral zone
Lower limit of Posidonia
Thresholds: BalticNo existing Baltic-wide
habitat classificationStatistical analyses from
dive transects & samples Habitats described in
existing national habitat classification systems
List of preliminary EUNIS habitats for the Baltic Sea
Classified samples available for definition of thresholds
e.g. for algal-dominated habitats: use dive transect data + Secchi disc data
Wave energy
Current energy
Combined wave & current energy
Producing the maps
An example model for the Mediterranean: ArcGIS Model Builder
Producing the maps
Successful test runs in Brittany, W Mediterranean, UK
UK seabed habitats: EUNIS classification
How good are the maps?Confidence in physical input data
Qualitative, based on metadata
Confidence in thresholds Fuzzy boundaries between habitats
Confidence compared to maps from survey Local comparisons
Qualitative confidence: substrate
Confidence in thresholds‘High’‘Low’
Parameter, e.g. salinity, x
AL CL, AH
BL DL,
BH
CH DH
Deg
ree
of
mem
ber
ship
, y
0
1
x2x1
Point with salinity value x1: Membership of ‘Low’ class = 1
Membership of ‘High’ class = 0
Point with salinity value x2: Membership of ‘Low’ class = 0.7
Membership of ‘High’ class = 0.3
0 1 0 1 0 1 0 1
4 salinity classes
Fully marine Brackish
Freshwater-estuarineKattegat
Boundaries clearly shown as lower confidence
Associated fuzzy scores
Feedback from usersHELCOM
EUNIS development using EUSeaMap output
OSPARPresentation to a Working Group and paper to
Biodiversity CommitteeEUSeaMap will support the MSFD assessment
process
ICESDiscussions on confidence methodology
CIESMPoster presented to CIESM in MayPEGASO project interested in extending method
to Eastern Mediterranean and Black Sea
Unexpected difficulties
Energy Defining EUNIS energy classes numerically
Standardising W Med substrate dataLack of raw data
Unexpected habitats in W MedFine-scale parameters driving habitat
distribution
Information from other projects
EMODNET Geology Date for next draft?Date for substrate
confidence?Filling gaps in
coverageClarifications on
classification – gravel!!
Harmonising boundaries between EEZs
Information from other projects
EMODNET Hydrography Update of gridded bathymetry this weekExpected dates and format of confidence
information?
WMS registry details for online portals
Timetable for rest of project
Further information
JNCC websitewww.jncc.gov.uk/EUSeaMap
EC website
https://webgate.ec.europa.eu/fpfis/iwt/node/759
+44 1733 866914