impacts of climate on the eco-systems and chemistry of the … › meetings › scienceteam › ocrt...
TRANSCRIPT
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Impacts of Climate on the Eco-Systems
and Chemistry of the Arctic Pacific
Environment (ICESCAPE)- Synthesis
W. Balch (and entire ICESCAPE Team)
Bigelow Laboratory for Ocean Science
E. Boothbay, ME 04544
Arrigo, Bates, Benitez-Nelson, Chavez, Cooper, Frey,
Freeman, Frouin, Hooker, Laney, Matrai, Mitchell,
Ortega-Retuerta, Perovitch, Pickart, Reynolds, Sosik,
Steel, Stramski, Swift, Werdell, Yvon, Zhang
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Acknowledgements
• Investigators who sent me slides
• Paty Matrai for some of the early literature citations
• Captains and crew of the USCGC Healy
• Quincey Allison, Sue Tolley-NASA logistics for moving people and gear
• NASA for funding
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Outline
• Introduction and perspective
• Physics
• Chemistry and Biogeochemistry
• Optics and Bio-optics
• Biology
• Modeling
• Summary
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Introduction and perspective
Spencer Apollonio, Yale Univ. Summer 1957; T-3 Ice Island.
“ICESKATE”
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More justification for ICESCAPE… Ic
e C
ove
r (m
illio
n s
qu
are
kilo
met
ers)
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Given ongoing changes in
the Arctic Ocean…
How has primary production
changed in recent years?
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Changes in Pan-Arctic Annual Productivity
-Suggested 38% increase
-What is responsible for this increase?
• Lower ice cover and longer growing seasons play a role
• Increased nutrient supply also must be important
- Greater shelf-break upwelling as sea ice retreats?
- Increased eddy activity?
- Intensified advection of nutrients from Bering Strait?
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ICESCAPE
Central science question:
What is the impact of climate change (natural and
anthropogenic) on the biogeochemistry and
ecology of the Chukchi and Beaufort seas?
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When?
June 15 - July 21, 2010
& September 2011
Where?
Start in Dutch Harbor, AK
Cruise to Bering Strait
Beaufort/Chukchi Sea
- Continental shelf
- Canada Basin
Sea ice sampling
Back through Bering Strait
End In Seward, AK
ICESCAPE
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Physical Oceanography/modeling: Bob Pickart – XBTs, ADCP, eddies
Jim Swift – CTD, O2, salinity
Mike Steele– Bio-ARGO floats (hydrographic measurements)
Jinlun Zhang – 3D coupled physical-chemical-biological ice-ocean
modeling
Biological Oceanography/Biogeochemistry: Kevin Arrigo, Greg Mitchell, Barney Balch – Carbon fixation,
microalgal abundance (ice and water column), physiology
Sam Laney/Heidi Sosik – Phytoplankton community composition
Eva Ortega-Retuerta - Bacterial production
Claudia Benitez-Nelson- Export fluxes with thorium
Patricia Matrai- Bio-ARGO Floats (chlorophyll, optics, nitrate, O2)
ICESCAPE- Investigators
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Chemical Oceanography: Nick Bates – Carbon cycle measurements (e.g. DIC, alkalinity)
Jim Swift – Nutrients (e.g. NO3, NO2, NH4, PO4 , SiO3), O2, salinity
Optical Oceanography: Greg Mitchell, Barney Balch, Stan Hooker – Spectral Lu, Ed, AOPs, IOPs, underway
IOPs
Rick Reynolds and Dariusz Stramski – Particle size distribution, bb, volume
scattering, SPM
Atsushi Matsuoka – absorption of CDOM
Robert Frouin – Atmospheric correction
Sea Ice: Don Perovich, Bonnie Light – Concentration, thickness, salinity, snow cover, optical
properties
Karen Frey – CDOM, DOC, O2 isotopes
Modeling: Jinlun Zhang- modeling bloom onset
Robert Frouin – Modeling primary productivity (PISCES model)
ICESCAPE-Investigators (cont.)
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Physical observations
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Revised circulation scheme of high-nutrient winter water
Based on the ICESCAPE hydrographic/velocity surveys
Jul 2011 massive under-ice bloom
Pickard, WHOI
Barrow Canyon
Hannah Shoal
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Schematic of upwelling at the shelfbreak due to easterly winds
Pickard, WHOI
Vertical section of model
chlorophyll tracer after upwelling
Vertical section of observed
chlorophyll tracer during ICESCAPE
Chl a (color) overlain by density (contours)
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T – Tf 1-day & 10 m running boxcar smoothed
°C
September October
180W
Red: September Blue: October
Barrow, AK
Day of 2012
1st float obs of NSTM formation
(Near-Surface Temperature Maximum)
Chukchi Borderland
Canada Basin
Chukchi Sea
0 0.8 1.6 2.4 3.2 4.0
ICESCAPE float program: Steele, Matrai, Riser
Beaufort Sea obs
Day of 2012
Pre
ssure
(db)
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Chemistry/Biogeochemistry
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Arctic Phytoplankton Productivity: Bio-float observations in ice-covered waters
P. Matrai1, M. Steele2, D.Swift2, S. Riser2, K. Johnson3 and J. Nutt1 1Bigelow Laboratory for Ocean Sciences, 2University of Washington, 3MBARI
Float 7078 (o 8/21/2012 – 4/23/2014)
Float 7596 (o 8/20/2012 – 2/9/2014)
Float 7564 (o 8/23/2011 – 3/19/2013)
Jan Mayen Is.
Under sea ice
7564
7078
2012 | 2013 |2014
2011 | 2012 | 2013
2012 | 2013 | 2014
2011 | 2012 | 2013
2012 | 2013 |2014
2011 | 2012 | 2013
7564
7596
7596
7564 7564
7596
ICE
2012 | 2013 |2014
7078
7596
T, S, NO3, O2, fluorescence, backscatter => chl, POC, PP, NCP
ICE
ICE ICE
Oxygen [ml l-1]
Nitrate [µM] Chlorophyll [µg l-1] Spring
bloom:
Ice, no ice
2011 | 2012 | 2013
Temperature [oC]
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Arrigo et al. Stanford
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Benitez-Nelson, Univ. S. Carolina
Under-Ice Bloom Stations
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S.Chukchi N.Chukchi W.Beaufort E.Beaufort
d15
N a
nd
d18
O
0
2
4
6
8
10
12 d15N
d18O
flowpath
NH
4 (
µM
), δ
15N
NO
3 a
nd
δ1
8O
NO
3 (‰
)
δ15NNO3
δ18ONO3
NH4
Brown et al. , Stanford Univ.
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C E
xpo
rt R
ate
(mm
ol C
m-2
d-1
)
Mean POC Export
% of Prim. Prod.
2010 ICESCAPE Whole Chukchi Shelf (non-ACC) 45±15%
2011 ICESCAPE
Whole Chukchi Shelf (non-ACC)
55%±19%
Quantify C Export Rate
Strong, Arrigo and Bates
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d18O in sea ice and
seawater from on-ice collections -
2010
Average d18O values Ice Cores -0.97 ± 0.9 Under Ice Waters -2.8 ± 0.8
End-member identification
Lee Cooper, UMCES
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Western Arctic OA Impacts
Bates et al., 2013
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Optical observations
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Figure courtesy of K. Frey
2010
2011
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ICESCAPE – Sea ice studies
Courtesy of
K. Frey
-4 -2 0 2 40.0
0.1
0.2
0.3
0.4
0.5
0.6
Pond
Wavelength (nm)
380
490
555
660
750
PAR
BoundaryBare
Tra
nsm
itta
nce
Bare ice thickness = 1.27 m Pond ice thickness = 0.83 m, Pond water depth = 0.15 m
Light field is spatially complex – ponds are skylights to the ocean
Perovich, Light; CRREL
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Impacts of a declining Arctic sea ice cover on the photodegradation of dissolved organic matter
Loss of CDOM absorbance with irradiation (over 72-hours) for triplicate samples from representative samples.
Karen Frey, Christie Logvinova, et al.,Clark Univ.
T1
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Optical detection of particle concentration, composition,
and size within Arctic waters
Particle diameter D [ µm ]
0.04 0.06 0.2 0.4 0.6 0.80.1 1
FN(D
) [
cm
-3 µ
m-1
]
106
107
108
109
Kotzebue Sound
Colville River
Beaufort Sea
Submicron particle size distributions measured for surface waters at three locations during the 2011 ICESCAPE cruise.
Rick A. Reynolds and Dariusz Stramski, SIO, UCSD
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[Matsuoka et al., 2013b]
CDOM and DOC estimates using semi-analytical algorithm
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Balch; Bigelow Laboratory
Log chl a
ICESCAPE: Bio-optics and coccolithophore observations in Arctic under-ice bloom
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OC3M Ca (A), Stramski POC (B), GIOP aph(443) (C), and GIOP adg(443) (D) using in situ Rrs versus in situ measured values.
in situ ICESCAPE match-ups measured with in situ radiometry
(not a problem with a satellite)
Werdell, Chavez, Freeman, Neely, Mannino
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OC3M Ca (A), Stramski POC (B); GIOP aph(443) (C) and adg(443) (D) using MODIS-Aqua Rrs(l) versus in situ measured values.
MODIS-Aqua ICESCAPE match-ups
Werdell, Chavez, Freeman, Neely, Mannino
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Biological Observations
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Merge IFCB-derived and FCM C cell carbon estimates
Greatest number of identifiable algal classes (~19-20)
Fewest identifiable classes (~6-8)
Where is greatest diversity seen in the microphytoplankton?
E.g., which taxa contribute most to algal C biomass in the Chukchi overall, or in under-ice bloom?
How much of the total POC can be attributed to algae, within or outside of the under-ice bloom?
Laney & Sosik 2014
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B
Icescape 2011. Phytoplankton-bacteria coupling in the under-ice bloom
Ortega-Retuerta et. al. 2014 DSRII
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Modeling
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Biological Model
Palmer & Arrigo
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BIOMAS surface [chlorophyll-a] on July 4, 2011
Black lines: bathymetry contours While line: satellite sea ice edge.
Jinlun Zhang, APL, Univ. Washington
Station 56
From Arrigo et al.
2012; transect 1
with stations 46-57
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Modeled Primary production under ice in the Arctic
(ORCA2/LIM2/PISCES configuration of the NEMO GCM)
Frouin, SIO
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Nitrate deficit- Apollonio, 1959 • 14uM drawdown in top
100m over 6 weeks
• =1400mmol N m-2 drawdown
• 6.625 mol C/mol N
• =9275 mmolC m-2/42d
• 2.64gC m-2-d-1
• Arrigo et al. estimated 1.2-4.8 g C m-2 d-1 with standard 14C method
• Balch indep. measured 2.86 g C m-2 d-1 with 14C microdiffusion
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So from “ICESKATE” to “ICESCAPE”, science has come full
circle…ICESCAPE unequivocally demonstrated presence of massive
under-ice algal blooms only hinted at 57 years earlier! ~1980
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Thank you!
?
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Summary-Main points
• Physics • The pathways of winter water across the Chukchi
shelf have been clarified
• Shelfbreak upwelling leads to significant primary production
• NSTM (Near Surface Temperature Maximum) is the “world’s newest water mass.”
• First ever Arctic ARGO bio-floats with ice avoidance algorithm, survive stratification and function under sea ice, 0-1000m, 20+ months!
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Summary-Main points
• Biogeochemistry/Chemistry • If 2011 ice sheets were to melt they would decrease overall
Phosphorous concentrations in the Arctic mixed layer.
• ~50% of primary productivity is exported vertically
• ~58% of the Pacific-origin NO3 in the Canada Basin was newly nitrified on the Chukchi shelf, rather than from the Bering Sea
• Values for oxygen isotopes in Arctic sea ice, interface waters, melt ponds and under-ice waters have been identified for first time.
• Ocean Acidification- At least 40% of the Chukchi Sea benthos is exposed to bottom waters that are corrosive to CaCO3 during summertime
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Summary-Main points
• Optics and Bio-optics
• Light transmittance through ponded ice is 3-10 X greater than through bare ice and first-year ice has lower light extinction than multiyear ice (both for bare and ponded ice)
• Solar UV-induced photooxidation of CDOM (ap254) ranged from ~48–62% whereas the percent loss in DOC was only ~0–8%.
• First measurements of particle size distribution for oceanic submicron particles in native state
• Arctic Shelf DOC budget now indicates largest sources of terrestrially-derived DOC to Arctic (presumably associated with melting tundra)
• Semi-analytical algorithm approaches remove biases in chlorophyll and IOPs
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Summary-Main points
• Biology • Chlorophyll biomass up to ~1300 mg Chl m-2 in under-ice
bloom (higher than any depth-integrated biomass in NASA Sea BASS (n=12,048!)
• NPP 1.2-4.8 gC m-2 d-1
• Phytoplankton growth rates of 0.83-1.44 d-1 (at -1.6oC!!) • Coccolithophore calcification, <1% of photosynthesis and
combined evidence shows unequivocal proof of coccolithophores in and under the Arctic ice cap
• Imaging Flow Cytobot and Flow Cytometry summed cell C is typically ~½ of bottle POC (i.e. on average, ~50% of POC is detritus)
• Bacterial biomass typically 11% of phytoplankton biomass, only 3.5% inside under-ice bloom
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Summary-Main points
• Modeling • Key change: a large Under-ice bloom =
reduced marginal ice zone bloom because no nutrients left after such an under-ice bloom
• BIOMAS model captures the basic features of ICESCAPE observed under-ice blooms