biosope – macro-particles 1-      scientific objectives

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BIOSOPE – macro- particles 1- Scientific objectives We are proposing two projects : A - Estimation of the stock of particulate matter (PM) > 100 µm in the studied water column and the relationship between PM’s spatial pattern and the bio-physical data. B - Estimation of the distribution and of the diversity of meso- and macrozooplankton. Relation between their size-dependent distribution and ecosystem state. NET SAMPLING.

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BIOSOPE – macro-particles 1-      Scientific objectives. We are proposing two projects : A - Estimation of the stock of particulate matter (PM) > 100 µm in the studied water column and the relationship between PM’s spatial pattern and the bio-physical data. - PowerPoint PPT Presentation

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Page 1: BIOSOPE –  macro-particles 1-      Scientific objectives

BIOSOPE – macro-particles

1-     Scientific objectives

We are proposing two projects:

A- Estimation of the stock of particulate matter (PM) > 100 µm in the studied water column and the relationship between PM’s spatial pattern and the bio-physical data.

B- Estimation of the distribution and of the diversity of meso- and macrozooplankton. Relation between their size-dependent distribution and ecosystem state. NET SAMPLING.

Page 2: BIOSOPE –  macro-particles 1-      Scientific objectives

Methods –ZOOSCAN and OPC for treatment of zooplankton

OPC

Triple net ZOOSCAN

Page 3: BIOSOPE –  macro-particles 1-      Scientific objectives

1) Pour and distributethe sample in the cell

2) Digitize and analyze thepicture in one mouse click

3) Collect the sampleback without lost

or degradation

Easy 3 steps dataacquisition

<15 min

Page 4: BIOSOPE –  macro-particles 1-      Scientific objectives

Image digitization

200 µm

20% of the whole image

Each picture is 17,500 x 7,000 pixels and contains hundreds of animals

Page 5: BIOSOPE –  macro-particles 1-      Scientific objectives

Image analysis1 mm

Page 6: BIOSOPE –  macro-particles 1-      Scientific objectives

010

0000

2500

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total

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janv. mai juil. sept. nov. janv.

24

68

AcartiaSp

y

janv. mai juil. sept. nov. janv.

46

810

14

CalyptopisSp

y

janv. mai juil. sept. nov. janv.

0.0

0.5

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CavoliniaInflexa

y

janv. mai juil. sept. nov. janv.

510

1520

25

CentropagesSp

y

janv. mai juil. sept. nov. janv.

02

46

810

Chaetognathes

y

janv. mai juil. sept. nov. janv.

510

2030

CladoceransOthers

y

janv. mai juil. sept. nov. janv.

510

1520

ClausoParacalanus

y

janv. mai juil. sept. nov. janv.

3040

5060

70

Copepodit

y

janv. mai juil. sept. nov. janv.

0.5

1.0

1.5

Coryceidae

y

janv. mai juil. sept. nov. janv.

0.0

1.0

2.0

CreseisSp

y

janv. mai juil. sept. nov. janv.

0.2

0.6

1.0

1.4

EggOthers

y

janv. mai juil. sept. nov. janv.

12

34

5

EuterpinaSp

y

janv. mai juil. sept. nov. janv.

0.0

0.2

0.4

FishEgg

y

janv. mai juil. sept. nov. janv.

0.00

0.10

0.20

0.30

FishLarvay

janv. mai juil. sept. nov. janv.

05

1015

FritillariaSp

y

janv. mai juil. sept. nov. janv.

12

34

5

Hydrozoa

y

janv. mai juil. sept. nov. janv.

24

68

10

MolluskEggs

y

janv. mai juil. sept. nov. janv.

02

46

8

MolluskOthers

y

janv. mai juil. sept. nov. janv.

0.5

1.5

2.5

3.5

Mysis

y

janv. mai juil. sept. nov. janv.

05

1015

OikopleuraSp

y

janv. mai juil. sept. nov. janv.

1020

3040

OithonaSp

y

janv. mai juil. sept. nov. janv.

020

4060

PeniliaSp

y

janv. mai juil. sept. nov. janv.

02

46

8

Pluteus

y

janv. mai juil. sept. nov. janv.

2040

6080

reject

y

janv. mai juil. sept. nov. janv.

12

34

5

Salp

y

janv. mai juil. sept. nov. janv.

02

46

812

SiphonoCali

y

janv. mai juil. sept. nov. janv.

0.0

1.0

2.0

SiphonoPhyso

y

janv. mai juil. sept. nov. janv.

46

810

12

TemoraSp

y

janv. mai juil. sept. nov. janv.

0.5

1.5

2.5

3.5

Zoe

y

janv. mai juil. sept. nov. janv.

Size distribution (or temporal evolution) of the different faunistical groups determined by the ZOOSCAN

Page 7: BIOSOPE –  macro-particles 1-      Scientific objectives

3- Sampling needs

Dig-UVP will be mounted on the CTD (hopefully)we need a dry lab place for a large desktop computer, printer and a laptop computer

Zooplankton net sampling – according to the schedulewe need a storage place for the fixed samplespreservative = buffered formaldehyde

Zooscan/OPC – the treatments will be carried out in France

Page 8: BIOSOPE –  macro-particles 1-      Scientific objectives
Page 9: BIOSOPE –  macro-particles 1-      Scientific objectives

Results50

6070

8090

Methods accuracies and timings (8 external samples)

accu

racy

(%)

5060

7080

90

lda qda mda fda knn lvq tree rpar bagg db.l db.k rfor svm nnet dvf

lda qda mda fda knn lvq tree rpar bagg db.l db.k rfor svm nnet dvf

time

to p

redi

ct 1

0,00

0 ite

ms

(sec

)

05

1015

2025

05

1015

2025

• 15 methods tested and compared

• Recognition accuracies higher than 80% are difficult to obtain

• Our new method (dvf, discriminant vector forest) is both efficient and reasonably fast