9 juni 2009 emeco european marine ecosystem observatory remi laane and dave mills

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9 juni 2009 EMECO European Marine Ecosystem Observatory Remi Laane and Dave Mills

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9 juni 2009

EMECOEuropean Marine Ecosystem Observatory

Remi Laane and Dave Mills

GoalWhy?ExamplesChallenges

9 juni 2009MODEG Brussels

Goal

UK-Cefas, EA, NOC, SAHFOS; NL-Rijkswaterstaat, Deltares, NIOZ, Norway-IMR, NERSC, Met Off; DE-GKSS, BSH, BE – MUMM, F – IFREMER, RoE – Marine Institute, Denmark – NIVA; S - SMHI

Builds on existing infrastructure

Multi-scale – time & space

Supports the Ecosystem Approach

EuroGOOS project

Anticipates EU current & future policy needs

EMECO is an informal European network for integration of monitoring, modelling & research.

www.emecogroup.org

9 juni 2009MODEG Brussels

“The marine environment is a precious heritage that must be protected, restored and treated as such with the ultimate aim of providing biologically diverse and dynamic oceans and seas that are safe, clean, healthy and productive.”

Why? political and management

Sustainable use Ecosystem integrity

EMS, WFDGreenbook

socio-economical system natural ecosystem

9 juni 2009MODEG Brussels

Why? scientifically

1cm1mm 1dm 1m 10m 100m 1km 10km 100km 1000km

1sec

1 min

1 hour

1 day

1 week

1 month

1 year

10 year

MolecularProcesses

Movementby Individual

TurbulantPatch size

SurfaceWaves

Inertial/InternalWaves

Tides

PlanktonMigration

Phytoplanktonbloom/patch

Monsoon

GyreCirculation

Storms

EdgeWaves

Seasonal Fronts

After Dickey

Buoy

Ships

SpaceTim

e

Satellites

Eco -Models

9 juni 2009MODEG Brussels

Example (1): sampling complex structures

Fixed depth CPR tow

Ship lowered fluorometer

Satellite sees ?

9 juni 2009MODEG Brussels

Example (2): integrated monitoringO

yste

r G

rou

nd

s U

K/N

L S

mar

tBu

oy

site

Ch

loro

ph

yll

(mg

m-3)

Ch

loro

ph

yll

Flu

ore

scen

c

Chlorophyll algorithms from F Gohin, IFREMER

9 juni 2009MODEG Brussels

Example (3): Environmental assessment -

0

10

20

30

40

50

60

70

Nov-02

Mar-03 Jul-03 Nov-03

Mar-04 Jul-04 Nov-04

Apr-05 Aug-05

TO

XN

(m

ol/

l)

0.0

5.0

10.0

15.0

20.0

25.0

Si

(m

ol/

l)

NAS TOXNWMS TOXNShip TOXNWMS Si

0

5

10

15

20

25

30

35

40

45

Nov-02 Mar-03 Jul-03 Nov-03 Mar-04 Jul-04 Nov-04 Apr-05 Aug-05

ch

loro

ph

yll ( g

/l)

Nit

art

eC

hlo

rop

hy

ll

Over-winter - November to February

Growing season – March to October

16.5 = +17.3 = +

24.8 = +15.9 = +

17.2 = +18.6 = +

29.3 = + 6.6 = --

30.3 = + 5.0 = --

29.8 = + ?

Liverpool BayLiverpool Bay SmartBuoy DataMills (2007)

Low frequency sampling (italic)

undersampling

9 juni 2009MODEG Brussels

Example (4): FerryBox

Appropriate spatial & temporal resolution (through water column)

Variables measured with required accuracy and precision

Operational – reliable, repeatable, Quality Assured

Effective monitoring requires:

Future monitoring :

• Spatial coverage poor in places

• Gaps in phytoplankton sampling

• augment current routes with relevant ‘eutropication’ sensors/samplers

Integrated approach

SmartBuoys

9 juni 2009MODEG Brussels

Example (5): EMECO example product

• User generated maps• ‘Agreed’ international map

of chlorophyll• Transparent information

product with estimate of confidence

• Step towards EU harmonisation

Data Integration & Assessment System

9 juni 2009MODEG Brussels

Summary

EMECO provides a strategy to meet new challenges

• integrated assessments of GES, cross boundary

• improved detection of environmental change

Build on current infrastructure of operational monitoring

Future is Integrated – multi-platform, multi-agency, multi-national

Draws together monitoring, modelling and research

info

assessment

data

scope of proposed project

design