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Control of plankton phenology by climate variation in a Mediterranean coastal area : results from a long-term study (1979-2011)

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(1)

Session S6

Climate change in the seasonal domain : impacts on the

phenology of marine ecosystems and their consequences

Control of plankton phenology by climate variation in a

Mediterranean coastal area : results from a long-term

study (1979-2011)

Anne GOFFART, Amandine COLLIGNON and Jean-Henri HECQ

University of Liège, Belgium

A.Goffart@ulg.ac.be March 15

STARESO

Station de Recherches Sous-Marines et Océanographiques

(2)

 

To understand how physical forcing affects the timing, duration and

magnitude of the winter-spring phyto- and zooplankton blooms in a

well-preserved Mediterranean coastal area;

 

To provide new insights on the regulation of the phyto- and zooplankton

phenology by environmental factors.

STARESO

Station de Recherches Sous-Marines et Océanographiques

(3)

STARESO

Station de Recherches Sous-Marines et Océanographiques

The studied area : the Bay of Calvi, Corsica, Western Mediterranean



Open bay and narrow shelf



Presence of a deep canyon in front of the city of

Calvi



Few anthropogenic pressures



Low-runoff system



Reference for the WFD

Bay of Calvi 4 kms

Ÿ

(4)

From 1979 :

  water temperature and wind (continuous data)   phytoplankton (18 years, continuous data from

2006)

  zooplankton (15 years, continuous data from 2003)

From 1988 :

  nutrients (16 years, continuous data from 2006).

STARESO

Station de Recherches Sous-Marines

et Océanographiques

High sampling frequency during the winter-spring period :

  Phytoplankton and nutrients : daily to

biweekly   Zooplankton : weekly.

A.Goffart@ulg.ac.be JH.Hecq@ulg.ac.be Amandine.Collignon@ulg.ac.be

STARESO

S

TAtion

de Recher

ches

Sous-marines et

Océanogra

phiques de

l’Univ

ersité de Liège

(5)

STARESO

Station de Recherches Sous-Marines et Océanographiques

High interannual variability

(6)

STARESO

Station de Recherches Sous-Marines et Océanographiques

The vertical dark bars identify the limits of the cold-water periods (≤13.5°C)

PHYTOPLANKTON BIOMASS

Marked differences in the onset, date of maximum concentration, duration and

intensity of the surface phytoplankton bloom

BUT

all blooming years share one key

characteristic, i.e. Tchl a always increases and peaks during the cold-water period, when subsurface water is ≤13.5°C.

NUTRIENTS

Nutrient enrichment of surface waters,

although variable interannually in intensity, is driven every year by wind forcing during the cold-water period.

(Goffart, Hecq, Legendre, in revision for Progress in Oceanography)

(7)

STARESO

Station de Recherches Sous-Marines et Océanographiques

WII : A WINTER INTENSITY INDEX

This led us to define a Winter Intensity Index WII = (CW x WE) / 1000,

where CW is the duration (number of days) of the cold-water period, and WE is the number of wind events during the cold-water period.

Winter intensity index

NUTRIENTS VS WII

The plot of nitrate averaged over the cold-water periods as function of WII shows highly significant linear

relationship.

TCHL a VS WII

The plot of average Tchl a during the cold-water period as a function of WII is strongly related to WII, but not

linearly.

(8)

STARESO

Station de Recherches Sous-Marines et Océanographiques

Winter intensity index

According to winter intensity, the trophic character of

the Bay of Calvi varies from very oligotrophic

(subtropical regime, low seasonal variability) to

mesotrophic (temperate regime, well-marked increase in nutrient concentrations and chl a during the winter-spring period) during mild and moderate winters, respectively.

A third regime occurs during severe winters

characterized by specific wind conditions (i.e. high

frequency of northeasterly winds), when Mediterranean “high nutrient - low chlorophyll” conditions occurred.

(9)

STARESO

Station de Recherches Sous-Marines et Océanographiques

2010 : a blooming year

Control of phytoplankton composition and phenology

by winter intensity

The contribution of major phytoplankton groups was quantified using CHEMTAX (Mackley et al. 1996).

(10)

STARESO

Station de Recherches Sous-Marines et Océanographiques

2007 : a non-blooming year

Control of phytoplankton composition and phenology

by winter intensity

(11)

STARESO

Station de Recherches Sous-Marines et Océanographiques

Control of phytoplankton composition and phenology

by winter intensity

Our study is consistent with the

report that, when occurring,

diatoms peaks were added to the

initial phytoplankton groups

instead of replacing them (Barber

& Hiscock 2006).

(12)

STARESO

Station de Recherches Sous-Marines et Océanographiques

Control of zooplankton composition and phenology

by winter intensity

(13)

STARESO

Station de Recherches Sous-Marines et Océanographiques

s

s

(14)

STARESO

Station de Recherches Sous-Marines et Océanographiques

Control of zooplankton composition and phenology

by winter intensity

(15)

STARESO

Station de Recherches Sous-Marines et Océanographiques

s

s

(16)

STARESO

Station de Recherches Sous-Marines et Océanographiques

Control of zooplankton composition and phenology

by winter intensity

In contrast to phytoplankton, zooplankton

phenology follows a replacement sequence

of the main groups.

(17)

STARESO

Station de Recherches Sous-Marines et Océanographiques

Conclusions

Based on the results provided by our long-term time series,



we described a mechanism that links winter physics, nutrient replenishment

of the surface layer and plankton dynamics under the different combinations

of meteorological conditions that occur in the Bay of Calvi (P

HYTO

C

LY

station),



we showed that plankton phenology is highly controlled by winter intensity

and climate variation.

(18)

Thank you for your attention !

STARESO

Station de Recherches Sous-Marines et Océanographiques

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