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EUSeaMap: Development & assessment of a European broadscale seabed habitat map

EUSeaMap: Development & assessment of a European broadscale seabed habitat map. Natalie Askew & Andy Cameron, JNCC, UK 29 November 2010, Brussels. Outline. Challenges User feedback Interaction with other Thematic Assembly Groups Lessons learned for follow-on projects

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EUSeaMap: Development & assessment of a European broadscale seabed habitat map

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  1. EUSeaMap: Development & assessment of a European broadscale seabed habitat map Natalie Askew & Andy Cameron, JNCC, UK 29 November 2010, Brussels

  2. Outline • Challenges • User feedback • Interaction with other Thematic Assembly Groups • Lessons learned for follow-on projects • Compatibility with INSPIRE • Demonstration of EUSeaMap portal

  3. Challenges – Western Mediterranean • Energy: scarcity of biological data for threshold analysis

  4. Challenges – Western Mediterranean • Energy: scarcity of biological data for threshold analysis & model resolution • Sediments: limited access to raw data & unexpected combinations of sediment type / biological zone • Scale: steeply shelving shores

  5. Diverse sources

  6. North & Celtic Seas EMODnet

  7. Challenges – North & Celtic Seas • Energy: • Resolution at the coast • Complex relationship between seabed energy & habitat types

  8. Kinetic energy at the seabed caused by waves EMODnet

  9. Kinetic energy at the seabed caused by currents EMODnet

  10. Challenges – North & Celtic Seas • Energy: • Resolution at the coast • Complex relationship between seabed energy & habitat types • Biological zones: • Need more data for testing shelf & deep sea thresholds • Salinity: • Primarily for defining estuarine areas • Coarse resolution from MyOcean (7km)

  11. Baltic EMODnet

  12. Challenges – Baltic • Light data • From Secchi disc measurements (5738)

  13. Secchi depth data for the Baltic Sea (1980-2008)

  14. Challenges – Baltic • Light data • From Secchi disc measurements (5738) • Baltic EUNIS still in development • EUSeaMap presents 2 options: energy or salinity providing high level split • Potential large number of classes (300+) • Transition between North Sea & Baltic

  15. Polyhaline Fully marine

  16. Challenges across basins • Timescales • Geology update Feb 2011 • Hydrography update March 2011 • Balance between consistency between regions & level of detail required  map aggregation • Entering metadata into central repository

  17. Map aggregation • Different # of classes per basin: • W Med=22, North & Celtic=110, Baltic=31/51 • MSFD requires consistent maps • 2 maps for each basin: full detail & aggregated • 17 classes after aggregation, across all basins EMODnet

  18. EMODnet

  19. 3 approaches to confidence 1. Validation by external data 2. Assessing quality of source data 3. Confidence in thresholds Accuracy percentage statistics based on matches between modelled data and point field data Scoring of key source data (bathymetry and substrate) gives good visual indication of confidence in habitat maps, and highlights where improvements are most needed in future Cell by cell measure of confidence by the model using fuzzy classifiers to visualise confidence in transitional areas

  20. Feedback from users • Positive feedback from • HELCOM Red List Biotopes Project • EurOCEAN conference • Maps promoted recently at • Marine Strategy Coordination Group meeting for MSFD • OSPAR GES workshop • Potential users of the methods • MESH Atlantique & PEGASO

  21. Interaction with other EMODnet lots • Geology • Preliminary ‘source’ confidence assessment received (final expected Dec 2011)

  22. EMODnet

  23. Interaction with other EMODnet lots • Geology • Preliminary ‘source’ confidence assessment received (final expected Dec 2011) • Hydrography • ‘Source’ confidence assessment currently being finalised

  24. EMODnet

  25. Interaction with other EMODnet lots • Geology • Preliminary ‘source’ confidence assessment received (final expected Dec 2011) • Hydrography • ‘Source’ confidence assessment currently being finalised • Coordination group • Sharing technical solutions, e.g. searchable central WMS registry • URLs for Web Mapping Services

  26. Lessons learnt #1 ‘Dynamic sediment classifications’ are beneficial for habitat mapping Assessing confidence in wave & tidal models is challenging & light in Baltic Run habitat mapping project following on from projects delivering physical data

  27. Lessons learnt #2 Structure of EUNIS hierarchy underpins broadscale mapping method Need better understanding of complex relationships between energy & habitats Combined 3 approaches to confidence is practical solution. Could be improved with data density maps.

  28. Compatibility with INSPIRE • MapServer 5.4 supports WMS 1.3 required by INSPIRE • CAMIOON Service with Data Products Catalogue • Still under development • INSPIRE compliant • EUSeaMap will enter metadata using CAMIOON in maintenance phase • Search facility

  29. EUSeaMap Portal & WMS url www.jncc.gov.uk/EUSeaMap http://213.122.160.71/scripts/mapserv.exe?map=D:\Websites\EUSeamap\map\EUSeamapWMS.map

  30. JNCC website & link to portal www.jncc.gov.uk/EUSeaMap +44 1733 866914 • natalie.askew@jncc.gov.uk

  31. webGIS screen shots EMODnet

  32. EMODnet

  33. EMODnet

  34. EMODnet

  35. EMODnet

  36. EMODnet

  37. EMODnet

  38. EMODnet

  39. EMODnet

  40. EMODnet

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