Upload
others
View
1
Download
0
Embed Size (px)
Citation preview
NUTRIENT AND PHYTOPLANKTON RESPONSES TO EXTERNAL
FORCING IN A MEDITERRANEAN COASTAL AREA UNBIAISED BY
TERRESTRIAL INPUTS AND LOCAL ACTIVITIES (CALVI, CORSICA)
Anne GOFFART 1,*, Jean-Henri HECQ 1 and Louis LEGENDRE 2
1 University of Liège, Belgium & STARESO, Calvi, Corsica, France 2 Laboratoire d'Océanographie de Villefranche (LOV), Villefranche, France
Jan 13
• To synthesize a long-term high-resolution study of nutrient and phytoplankton bloom
dynamics performed between 1979 and 2011 at a permanent station in the Bay of Calvi
(Corsica, northwestern Mediterranean)
• To understand mechanisms controlling the interannual variability of phytoplankton bloom in a
context of climate change
STARESOStation de Recherches Sous-Marines
et Océanographiques
Objectives
Impossible d'afficher l'image. Votre ordinateur manque peut-être de mémoire pour ouvrir l'image ou l'image est endommagée. Redémarrez l'ordinateur, puis ouvrez à nouveau le fichier. Si le x rouge est toujours affiché, vous devrez peut-être supprimer l'image avant de la réinsérer.
The studied area : the Bay of Calvi, Corsica, Western Mediterranean
• Open bay and narrow shelf
• Oligotrophic characteristics
• Few anthropogenic pressures
• High control by climate forcing
• Reference for the WFD
Bay of Calvi
4 kms
• Water temperature, wind,
phytoplankton and zooplankton from
1979
• Nutrients from 1988
STARESOStation de Recherches Sous-Marines
et Océanographiques
Time-series : subsurface data
[email protected] [email protected]
STARESO STAtion de REcherches Sous-marines et Océanographiques
de l’Université de Liège
High sampling frequency during phyto- and zooplankton blooms (1 - 7 times per week)
• The winter-spring phytoplankton bloom
of the Bay of Calvi is characterized by a
very large interannual variability
reaching one order of magnitude from
one year to another
STARESOStation de Recherches Sous-Marines
et Océanographiques
Time-series : results
What factors and/or processes control
this variability ?
• Water temperature
• Wind intensity
• Nutrient availability
• Zooplankton grazing The blue bars indicate the limits of the period of
cold water (< 13,5 °C)
0,0
0,5
1,0
1,52001
D J F M A M J J A S O N D
ng C
hl a
l-1
0,0
0,5
1,0
1,52007
D J F M A M J J A S O N D
ng C
hl a
l-1
0,0
0,5
1,0
1,52009
D J F M A M J J A S O N D
ng C
hl a
l-1
In unstratified water column (surface temperature < 13,5 °C), surface nutrient enrichment is
strongly controlled by wind stress - annual example : 1999
STARESOStation de Recherches Sous-Marines
et Océanographiques
Control of nutrient availability by wind stress
Goffart et al in prep
WII takes into account the duration of the period of cold water and the frequency of windy days
during the period of cold water
STARESOStation de Recherches Sous-Marines
et Océanographiques
Definition of a winter index intensity : WII
Winter surface nutrient enrichment is strongly and linearly controlled by WII (R2 = 0,86)
STARESOStation de Recherches Sous-Marines
et Océanographiques
Control of nutrient availability by WII : time-series results
0
50
100
150
0 1 2 3 4 5 6
Integrated NO3
1988
1997
1998
1999
2000
2001
2002
2006
2007
2008
2009
2010
2011
y = -2,61 + 29,73x R2= 0,86
Inte
grat
ed N
O3 (
wat
er <
13.
5 °C
)
Winter intensity index
1988 – 2011 data
Goffart et al in prep
Phytoplankton biomass is strongly controlled by WII : increasing phytoplankton concentrations are
observed for low and intermediate WII, while high WII are associated with lower phytoplankton
biomasses (polynomial regression : R2 = 0,70)
STARESOStation de Recherches Sous-Marines
et Océanographiques
Control of phytoplankton by WII : time-series results
0
10
20
30
40
50
60
70
80
0 1 2 3 4 5 6
Integrated Chl a (< 13.5 °C)1979198619881997199819992001
20022005200620072008200920102011
Winter intensity index
Inte
grat
ed C
hl a
(w
ater
< 1
3.5
°C)
Y = M0 + M1*x + M2*x2 + M3*x3
2,12M0
5,15M1
10,59M2
-2,08M3
0,70R2
1979 – 2011 data
Goffart et al in prep
Phyto- and zooplankton biomasses increase concomitantly (linear regression : R2 = 0,70). This
implies that lower phytoplankton concentrations observed at high WII are not due to enhanced
zooplankton grazing.
STARESOStation de Recherches Sous-Marines
et Océanographiques
Is zooplankton grazing responsible for lower phytoplankton biomasses associated with high WII ?
Lower phytoplankton biomasses observed at high WII are probably due
limitation of phytoplankton growth by reduced exposition to light in a
highly mixed water column
STARESOStation de Recherches Sous-Marines
et Océanographiques
Trends in WII over the 1979 – 2011 period
0
1
2
3
4
5
619
80
1982
1984
1986
1988
1990
1992
1994
1996
1998
2000
2002
2004
2006
2008
2010
WII phyto WII without phyto WII
Win
ter
inte
nsity
inde
x
Year
x x 0 0 0
Goffart et al in prep
STARESOStation de Recherches Sous-Marines
et Océanographiques
Conclusions
This study, built from three decades of observation acquired in an oligotrophic Mediterranean coastal area, • shows the combined effects of 2 key natural forcings (wind intensity and water temperature)
on nutrient refueling of surface water,
• detects consistent patterns in terms of relationships between environmental drivers and response of winter-spring phytoplankton bloom,
• does not evidence any continuous change in phytoplankton biomass from 1979 but shows a year to year response to climate variation.
Thank you for your attention !
STARESOStation de Recherches Sous-Marines
et Océanographiques