1 Melting glaciers help fuel productivity hotspots around Antarctica Kevin R. Arrigo Gert van Dijken...
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Transcript of 1 Melting glaciers help fuel productivity hotspots around Antarctica Kevin R. Arrigo Gert van Dijken...
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Melting glaciers help fuel productivity hotspots around Antarctica
Kevin R. ArrigoGert van Dijken
Stanford University
Areas of open water surrounded by sea ice
Can be identified with SSM/I satellite data
Based on days of open water Red = Max Blue = Min Polynyas are blue areas near coast
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Antarctic polynyas
3
40 120 20016080
Hot spots of primary production (g C m-2 yr-1)
Antarctic polynyas
Hot spots of primary production (g C m-2 yr-1)
Can support high densities of marine mammals and birds
Ann
Annual production (mg C m-2 yr-1)
Mea
n co
lony
siz
e (1
000
pairs
)
Adelie Penguins vs. Polynya Productivity
R2 = 0.63
4
Arrigo and Van Dijken (2003)
Antarctic polynyas
Antarctic polynyas
Hot spots of primary production (g C m-2 yr-1)
Can support high densities of marine mammals and birds
Large sinks for anthropogenic CO2
Anthropogenic CO2 flux (g C m-2 yr-1)
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Arrigo et al. (2008)
Ross Sea
Question:
What controls phytoplankton abundance in Antarctic coastal polynyas?
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Photo:John Weller
Phaeocystis antarctica
Approach
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SeaWiFS
AVHRR
SSM/IFor 1998-2012:Used satellite data to identify polynyas, track changes in sea ice, measure chlorophyll a concentration, and calculate primary production (Arrigo et al. 2008)
PacificOcean
IndianOcean
AtlanticOcean
ANTARCTICA
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Polynya number
Chl
orop
hyll
a (m
g m
-3)
Pacific PacificIndianAtlantic
Annual mean phytoplankton abundance in 46 coastal polynyas
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Polynya number
Pacific PacificIndianAtlantic
Annual mean phytoplankton abundance in 46 coastal polynyasNot controlled by light or temperature (p > 0.05)
10
Chl
orop
hyll
a (m
g m
-3)
Polynya number
Pacific PacificIndianAtlantic
She
lf w
idth
(km
)
Annual mean phytoplankton abundance in 46 coastal polynyasRelated to width of local continental shelf
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Chl
orop
hyll
a (m
g m
-3)
Polynya number
Pacific PacificIndianAtlantic
She
lf w
idth
(km
)
Annual mean phytoplankton abundance in 46 coastal polynyasRelated to width of local continental shelf
R2 = 0.40p < 0.01
Chl
orop
hyll
a (m
g m
-3)
Shelf width (km)
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Chl
orop
hyll
a (m
g m
-3)
Blue = Low iron concentrationOrange = High iron concentration visibleearth.nasa.gov 13
Why the relationship between phytoplankton abundance and continental shelf width?
• Highest seawater iron concentrations are on the shelf• Wider shelves have larger iron inventory and permit greater
entrainment of iron into surface waters (Bruland et al. 2005, Biller et al. 2013)
• More iron = higher phytoplankton biomass
Polynya number
Pacific PacificIndianAtlantic
14
What other factors control phytoplankton abundance in coastal polynyas?
Chl
orop
hyll
a (m
g m
-3)
Polynya number
Pacific PacificIndianAtlantic
15
What other factors control phytoplankton abundance in coastal polynyas?
• 37 of 46 coastal polynyas are adjacent to melting ice shelves
Chl
orop
hyll
a (m
g m
-3)
Polynya number
Pacific PacificIndianAtlantic
Bas
al m
elt
rate
(G
t yr
-1)
What other factors control phytoplankton abundance in coastal polynyas?
• 37 of 46 coastal polynyas are adjacent to melting ice shelves
• Basal melt rates are now available (Rignot et al. 2013)
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Chl
orop
hyll
a (m
g m
-3)
Bas
al m
elt
rate
(G
t yr
-1)
Polynya number
Pacific PacificIndianAtlantic
R2 = 0.59p < 0.01
What other factors control phytoplankton abundance in coastal polynyas?
Chl
orop
hyll
a (m
g m
-3)
Basal melt rate (Gt yr-1)
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Chl
orop
hyll
a (m
g m
-3)
Bas
al m
elt
rate
(G
t yr
-1)
Polynya number
Pacific PacificIndianAtlantic
Polynyas w/o ice shelf = 0.44±0.19 mg m-3
What about coastal polynyas not near ice shelves?
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Chl
orop
hyll
a (m
g m
-3)
Bas
al m
elt
rate
(G
t yr
-1)
Polynya number
Pacific PacificIndianAtlantic
y-intercept = 0.40 mg m-3
Chl
orop
hyll
a (m
g m
-3)
Basal melt rate (Gt yr-1)
What about coastal polynyas not near ice shelves?
Polynyas w/o ice shelf = 0.44±0.19 mg m-3
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Chl
orop
hyll
a (m
g m
-3)
Bas
al m
elt
rate
(G
t yr
-1)
Polynya number
Pacific PacificIndianAtlantic
y-intercept = 0.40 mg m-3
Chl
orop
hyll
a (m
g m
-3)
Basal melt rate (Gt yr-1)
What about coastal polynyas not near ice shelves?
Very productive polynyas require input of glacial meltwater
Polynyas w/o ice shelf = 0.44±0.19 mg m-3
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Chl
orop
hyll
a (m
g m
-3)
Why the relationship between phytoplankton abundance and basal melt rate of nearby ice shelves?
• Ice sheets grind up bedrock as they flow to sea• Particulate and dissolved iron is released into seawater• Facilitated by upwelling of warm CDW• Iron taken up by growing phytoplankton
(CDW)
Phytoplanktonbloom
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Why the relationship between phytoplankton abundance and basal melt rate of nearby ice shelves?
• Ice sheets grind up bedrock as they flow to sea• Particulate and dissolved iron is released into seawater• Facilitated by upwelling of warm CDW• Iron taken up by growing phytoplankton
22Modified from Gerringa et al. (2012)
0
100
200
300
De
pth
(m
)
Dissolved iron (nM)
0.8
0.6
0.4
0.2
0200250 150 100 50 0
Distance from Pine Island Glacier (km)
Chlorophyll > 5 mg m-3
Chlorophyll > 10 mg m-3
DynaLiFe Cruise
Even coastal Antarctic polynyas are iron limited
Together, basal melt rate and continental shelf width explain 70% of variance in phytoplankton abundance in coastal polynyas
Basal melt rate and shelf width are weakly correlated with each other (R2=0.19)
Antarctic polynyas are a 0.2 Pg C yr-1 sink for anthropogenic CO2
Larger than entire high latitude Southern Ocean
No interannual trends over 15 year time series
However, if the rate of ice sheet melting accelerates, polynyas could become even more productive in the future
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CONCLUSIONS
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THANK YOU!
Ocean Biology and Biogeochemistry
Cryosphere Science Program