1. GES-REG Good Environmental status through regional coordination and capacity building
Juha-Markku Leppänen
Marine Research Centre
Finnish Environmental Institute (SYKE)
Workshop on Biodiversity theme (Descriptors 1, 2, 4 & 6)
Brussels, 7-8 November 2012

2. Project aim
Support implementation of MSFD in all participating countries
Give input to the parallel work in HELCOM
Partners from Estonia, Finland, Latvia (Sweden)
Associate partner

3. Project region

4. Work packages
WP1 – Project management and coordination – to guarantee high quality administration, management and communication
WP2 – Analysis of initial assessments – to perform detailed analysis of initial assessments for coherence and gaps
Support to HELCOM Roof Report
WP3 – Advance knowledge base to support assessment of GES – guidance for harmonised use of descriptors, criteria and indicators
Food web, litter and noise
WP4 – Sound and cost effective joint monitoring and assessment scheme
WP5 – Economic and social analysis

5. WP4 – Sound and cost effective joint monitoring and assessment
Analysis of existing monitoring and measurement programs
Elaboration of a joint cost-effective monitoring network
Development of a joint monitoring and assessment scheme in the sub-region
Support revision of HELCOM Monitoring and Assessment Strategy
Development of new assessment methods

6. Monitoring and Assessment System

7. Coordination and sharing
Increasing joint initiatives such as surveys, campaigns and cruises,
Using remote sensing and autonomous measuring devices to complement ship cruise data and thereby enhance data coverage,
Promoting the use of ”human sensors”
Using modelling to combine data and produced optimised data layers,
Sharing infrastructure,
Quality gains from specialization of countries and national institutes

8. Examples
Using unattended measuring devices to complement conventional monitoring and thereby enhance data coverage, quality and increase cost-efficiency
From low-frequency station-based monitoring toward continuous observations and sub-region scales

9. Ship-of-Opportunity Network
Horizontal profiles of T, S, Chl a, cyanobacterial pigments, water samples: nutrients, species composition
Vertical profiles of T, S, Chl a

10. LIDAR Light Detection and Ranging ”Light radar”: Measures the distance of the seabed by emitting laser ligth and by registering the time for the reflected light pulse to return. Also usable underwater: presently able to measure bottom topography at 2,5 X secchi depth. Also possible to distinguish between main vegetation types (e.g. bladderwrack, filamentous algae on rock).
gulfsci.usgs.gov/tampabay

11. © SUPERB
Overview of LiDar classification output enhanced with prediction data for the classes “Fucus” and “High vegetation”

12. Unmanned Aerial Vehicle

13. Status classification
Human sensors
iPhone
Smart phone applications to report algal observations
Surface plankton blooms
Bladderwrack condition
Nokia Symbian/Java
iPhone from Apple Store
Android phone from Google Play
GPS positioning
Photograph
Status classification

14. Integration High number of variables and high horizontal resolution
High temporal and horizontal resolution
High temporal and vertical resolution
Research vessels
Hydrography
Nutrients
Plankton
Benthos
Satellite remote sensing
Temperature
Turbidity
Chlorophyll
Cyanobacterial blooms
Buoys
Temperature
Salinity
Oxygen
Turbidity
Chlorophyll
Cyanobacterial pigments
Mathematical Models
Human sensors
Plankton blooms
Bladerwrack ?
SOOP
Temperature
Salinity
Oxygen
Turbidity
Chlorophyll
Cyanobacterial pigments
Nutrients
Phytoplankton
High resolution data layers
Good temporal and spatial resolution
High vertical and temporal
resolution moderate number of parameters

15. Thank you!