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Approach Phytoplankton Observations Single cells to communities Biomass, size- and taxon-resolved Phytoplankton Algorithms Absorption spectral shape size structure Diagnostic pigments size structure Diagnostic pigments taxonomic structure
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Seasonal to Interannual Variability in Phytoplankton Biomass and Diversity
on the New England Shelf
Heidi M. Sosik Hui Feng
In Situ Time Series for Validation and Exploration of Remote Sensing Algorithms
Woods Hole Oceanographic Institution
University of New Hampshire
Project Overview
Goal: Use unique time series to evaluate algorithms that extend MODIS ocean color data beyond chlorophyll to functional type or size-class-dependent phytoplankton retrievals
Approach: End-to-end time series observations, with step-by-step algorithm evaluation and error analysissingle cells phytoplankton community bulk water optical properties sea surface optical properties (air and water) MODIS optical properties
Martha’s Vineyard Coastal Observatory
Tower mountedAERONET-OC
MODIS productsSubmersible Imaging
Flow Cytometry
Approach
Phytoplankton ObservationsSingle cells to communitiesBiomass, size- and taxon-resolved
Phytoplankton AlgorithmsAbsorption spectral shape size structure
Diagnostic pigments size structure
Diagnostic pigments taxonomic structure400 500 600 7000
0.5
1
1.5
2
2.5
3
3.5
03-Jul-2007 20:00:00Fraction micro = 0.40
Rel
ativ
e ph
ytop
lank
ton
abso
rptio
n
Wavelength (nm)
pico
micro
MeasuredCiotti fit
400 500 600 7000
0.5
1
1.5
2
2.5
3
3.5
09-Dec-2007 21:15:00Fraction micro = 0.78
Wavelength (nm)
pico
micro
MeasuredCiotti fit
m m m m
m
m m m m
m
Variability in community structure
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 20130
20
40
60
Car
bon
( mg
mL-1
)
SynechococcusGuinardia delicatula
.
Jan Apr Jul Oct Jan0
10
20
30
40
Dia
tom
s (m
gC m
-3)Diatoms
Cyano-bacteria
Jan Apr Jul Oct Jan0
2
4
6
8
10
12
Cya
noba
cter
ia (m
gC m
-3)
Pigment-based retrieval of taxonomic groups
10-2
10-1
100
10110
-1
100
101
102
Chl a (mg m -3)
Car
bon
(mg
m -3
)
y = 11.86x0.80
r = 0.604
Diatoms
Diatoms
“CHEMTAX” Mackey et al. 1996In situ FCM
Total Chl a = diatom Chl a + dinoflagellate Chl a + cyanobacteria Chl a + …
with partitioning according to accessory pigment ratios
10-3
10-1
10110
-1
100
101
102
Chl a (mg m -3)
Car
bon
(mg
m -3
)
y = 23.79x0.67
r = 0.390
Dinoflagellates
Pigment-based retrieval of taxonomic groups
10-2
10-1
100
10110
-1
100
101
102
Chl a (mg m -3)
Car
bon
(mg
m -3
)
y = 11.86x0.80
r = 0.604
Diatoms
Diatoms Dinoflagellates Cyanobacteria
10-6
10-4
10-2
100
10-2
100
102
Chl a (mg m -3)
Car
bon
(mg
m -3
)
y = 130.57x0.78
r = 0.34
Cyanobacteria
~1 mm cells
10 mm
Diagnostic pigment retrieval from RrsPan et al. 2010 band ratio algorithms
AERONET-OCSeaPRISM, Rrs(l)
Discrete samplesHPLC pigment analysis
0 2 4 60
2
4
6
In situ Chl (mg m -3)
SeaP
RIS
M C
hl, (
mg
m -3
) (%) = -20.37||(%) = 27.78
-0.4 -0.2 0 0.2 0.4-1.5
-1
-0.5
0
0.5
1
1.5
2
log10(Rrs488 / Rrs551)
log 10
(Chl
, mg
m -3
)
Chl a algIn situ data
Chl a
0 1 2 3 40
1
2
3
4
In situ Fucox (mg m -3)
SeaP
RIS
M F
ucox
(mg
m -3
) (%) = -8.27||(%) = 40.66
-0.4 -0.2 0 0.2 0.4-2
-1.5
-1
-0.5
0
0.5
1
1.5
log10(Rrs488 / Rrs547)
log 10
(Fuc
oxan
thin
, mg
m -3
)
Fucoxanthin algIn situ data
Diagnostic pigment retrieval from Rrs
0 2 4 60
2
4
6
In situ Chl (mg m -3)
SeaP
RIS
M C
hl, (
mg
m -3
) (%) = -20.37||(%) = 27.78
Chl a Fucoxanthin Zeaxanthin
-0.4 -0.2 0 0.2 0.4-1.5
-1
-0.5
0
0.5
1
1.5
2
log10(Rrs488 / Rrs551)
log 10
(Chl
, mg
m -3
)
Chl a algIn situ data
0 0.05 0.1 0.15 0.20
0.05
0.1
0.15
0.2
0.25
In situ Zeaxan (mg m -3)
SeaP
RIS
M Z
eaxa
n (m
g m
-3) (%) = -3.68
||(%) = 60.99
-2.5 -2 -1.5 -1 -0.5-2.5
-2
-1.5
-1
-0.5
0
0.5
log10(Rrs488 / Rrs547)-1.5log10(Tw)
log 10
(Zea
xant
hin,
mg
m -3
)
Zeaxanthin algIn situ data
Pan et al. 2010 band ratio algorithms
Seasonality – pigment retrievals
Jan Apr Jul Oct Jan0
2
4
6
Chl
(mg
m -3
)
MVCO in situMVCO MODIS
Jan Apr Jul Oct Jan0
0.5
1
1.5
2
Fuco
xant
hin
(mg
m -3
)
MVCO in situMVCO MODIS
Jan Apr Jul Oct Jan0
0.05
0.1
Zeax
anth
in (m
g m
-3)
MVCO in situMVCO MODIS
Diatom indicator pigment
Cyanobacteriaindicator pigment
Jan Apr Jul Oct Jan0
10
20
30
40
Dia
tom
s (m
gC m
-3)Diatoms
Cyano-bacteria
Jan Apr Jul Oct Jan0
2
4
6
8
10
12
Cya
noba
cter
ia (m
gC m
-3)
Ecosystem characterization
-4 -2 0 2 4-4
-2
0
2
4
r2 = 0.42
Temperature anomaly (relative)
Taxo
n an
omal
y (re
lativ
e)
Syn
-4 -2 0 2 4
-5
0
5
January
r2 = 0.59
Ditylum
-4 -2 0 2 4
-5
0
5
r2 = 0.39
Corethron
Taxa with positive response to warmer winters
Taxa with negative response to warmer winters
Interannual variability – taxon specific
Seasonally adjusted Biomass anomalies vs Temperature anomalies
Cyanobacterium Diatoms
Ecosystem characterization
Local detail Trends and patterns of change
Regional to basin scales
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
-1
0
1
Syn
echo
cocc
us
log(
mL-1
), an
om
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
102
104
106
Syn
echo
cocc
us, m
L-1
Decadal increase in pico-cyanobacteria at MVCO
http://ifcb-data.whoi.edu/
Open data access
Standard formats
Processing pipelines
End-to-end provenance