environmental change and altered marine food webs altered marine food webs 1)warming i.coastal...
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Environmental Change andEnvironmental Change and Altered Marine Food WebsAltered Marine Food Webs
1) Warming I. coastal Antactica (importance of communities)
2) Ozone DepletionII. Antarctica (importance of wind)
3) EutrohicationIII. HABs (importance of people)
4) Fishing Pressures IV. Globe (importance of people)
Oscar Schofield ([email protected])
0
2
4
6
8
10
0.1 1 10 100 1000
Irradiance (mol photons m-2 s-1)
Pro
duct
ivit
y (m
g C
mg
Chl
a-2 h
-1)
Pmax
Ik = Pmax/Respiration
Light
Nutrient concentration (can be nitrogen, phosphorus)
Nut
rien
t Upt
ake
Ks
Nutrients
Vmax
0
2
4
6
8
10
12
diatoms coccos dinos greens
KsNO3-
KsN
O3-
(uM
)
0
0.2
0.4
0.6
0.8
1
diatoms coccos dinos greens
Vmax NO3/C
mol
N/
mol
C/d
ay
Nutrient Uptake Varies with Phytoplankton SpeciesNutrient Uptake Varies with Phytoplankton Species
Things effecting a food web include:Things effecting a food web include:
# trophic levels, trophic transfer efficiency# trophic levels, trophic transfer efficiency
What else?What else?
Cell size effects the trophic transfer of matter Cell size effects the trophic transfer of matter and energy in the food weband energy in the food web
• Cullen et al.
(Cullen et al., 2002)
Study Site
The Antarctic Penisula
64 48’ S
Hermit Island
EE
BB
Janus Island
LitchfieldIsland
TorgersenIsland
Anvers Island
Palmer
64 46’ S
Bonaparte
Point
64 04’ W
Why?
STA B - Chlorophyll a
1991-92
1992-93
1995-96
JanSept Oct Nov Dec Feb
mg
Ch
l a m
-3
5.0
2.5
0.0
Mar
1994-95
1994-95
< 3 mg Chl a m-3
< 3 mg Chl a m-3
60 m
0 10 20 30 40 50 60 70 800
50
100
150
200
250
300
350
Inte
grat
ed U
ML
Chl
a (
mg
m-3)
Upper Mixed Layer Depth (m)
Station B 1991-1992
Mitchell & Holm Hansen (1991)
Integrated Chlorophyll a vs. Upper Mixed Layer DepthIntegrated Chlorophyll a vs. Upper Mixed Layer Depth
0
0.2
0.4
0.6
0.8
1
0 0.2 0.4 0.6 0.8 1
Cryptophytes in the Coastal OceanCryptophytes in the Coastal Ocean(Antarctica)(Antarctica)
Proportion of total chlorophyll a associated with cryptophytes
Pro
por
tion
of
tota
l ch
loro
ph
yll a
as
soci
ated
wit
h d
iato
ms Palmer StationPalmer Station
(n=162)(n=162)
Cryptomonas cryophila
Thalassiosira antarctica
Corethron criophilum
Palmer Cryptophytes --> 8 ± 2m
100m
SEM Micrographs fromMcMinn and Hodgson 1993 10m
0
20
40
60
80
100
-15 -10 -5 0 5 10
Mean Air Temperature (°C)
% C
ryp
top
hyt
es
The Ice-melt WallThe Ice-melt Wall
0
40
80
120
0
10
20
30
40
Pre
cip
itatio
n (
mm
)
Sn
ow
He
igh
t (c
m)
60
40
20
De
pth
(m
)
45
10
NO
3- (M
)
November December January
1993 1994
A
B
Salinity33.3 33.6 33.8
64°W
Palmer Station
AntarcticPeninsula
% Crypts0 25 50
65°S
65°S
From Smith (1994)
-0.8
-0.4
0
0.4
0.8
1.2
1945 1955 1965 1975 1985
Year
Mea
n S
um
mer
Air
Tem
per
atu
res
(°C
)
Faraday Station
Signy Station
R2 = 0.64
R2 = 0.73
Changes over the last 50 yearsChanges over the last 50 years
SalpsSalps
Euphausid superbaEuphausid superba
OtherGrazers
(copepods)
Diatoms& Other
PhytoplanktonCryptophytes
AutotrophicCarbon
Production
Krill Salps
Sedimentation(Microbial Loop)
Respiration(Other Losses)
Higher Trophic Levels(fish, penguins, whales)
Autotrophic Losses(Not Grazing)
0.001
0.01
0.1
1
10
100
80 82 84 86 88 90 92 94 96
Kri
ll:S
alp
YEAR
Ice
Inde
x6
4
2
0.001
0.01
0.1
1
10
100
Kri
ll:S
alp
Ice Index
0.001
0.01
0.1
1
10
100
Kri
ll:S
alp
Mean Air Temperature (°C)0-2-4
From Loeb et al., 1997
642
Where have all the good krill gone?Where have all the good krill gone?
0
10
20
30
40
50Quetin and Ross 1985
5-10 >15
0
20
40
60
80
100McClatchie and Boyd 1983
5-10 >15
0
20
40
60
80
100Boyd et al. 1984
5-10 >15
% R
eten
tion
by
Kri
ll
Phytoplankton Size (m)
OtherGrazers
(copepods)
Diatoms& Other
PhytoplanktonCryptophytes
AutotrophicCarbon
Production
Krill Salps
Sedimentation(Microbial Loop)
Respiration(Other Losses)
Higher Trophic Levels(fish, penguins, whales)
Autotrophic Losses(Not Grazing)
Consequences of cryptophytes
-Shift grazers to salp community
-Decrease carbon to higher trophiclevels by ~ 50-60%
-Increase carbon flux to benthosby a factor of 3-4 (given one yearsalp life)
-Mobile higher tropic levels moveto preferred food source in the south
Changes in physical environment impact Antarctic Changes in physical environment impact Antarctic phytoplankton community composition. This willphytoplankton community composition. This willimpact elemental cycling and higher trophic levels.impact elemental cycling and higher trophic levels.
HUMANS?
Myers and Worm, Nature 423: 280-284
Chavez et al. Science 2003
Diversity of HAB Toxins
Saxitoxins
Domoic Acid
Ciguatoxins
Brevetoxins
N
N
NH
NH
OHOH
NH2
NH2
R1
R 3 R 2
R4
N
HCH3
HCOOH
CH3
COOH
COOH
R2
O
OO
O O
O
O
O
O
O
O
O
OR1
CH 3 CH 3
H3C
CH 3
CH 3
CH 3
CH 3
OH
CH3
CH3
OH
o
o
o
o
o
o
HO
CH3
o
oo
o
o
oCH3
o
R2
R1CH3
oo
oCH3OR5
OR4 CH3
CH3
o o
o
OR5
OR5 CH3 R3
R2
OR1
O
o
Okadaic Acid
Unknown Toxins?
Azaspiracis
Yessotoxin
GymnodimieSpirolides
1982 199505
10152025
Po
pu
lati
on
(M
)
1982 1995
Year
Pearl River Delta Estuary
Environmental Controls: 1973Environmental Controls: 1973
19200
100
200
300
To
tal N
um
ber
Red
Tid
es
10
Secch
i Dep
th (m
)
Seto Inland Sea: Manabe and Ishio, 1991 Mar. Poll. Bull.and Honjo, 1993 in Smayda and Shimizu
Year1940 1960 1980
7
8
9
March 28, 2002 – SeaWIFS off the West Florida Shelf March 28, 2002 – SeaWIFS off the West Florida Shelf
Chlorophyll Chlorophyll
Backscattering (555)Backscattering (555)
Absorption (443)Absorption (443)
Feature Tracking Feature Tracking
Red Tide
30 Day Total Flow through Gate S79
0
1E+11
2E+11
3E+11
4E+11
5E+11
6E+11
7E+11
8E+11
Oct-95 Mar-97 Jul-98 Dec-99 Apr-01 Sep-02
0
1
2
3
4
5
-80-81-82-83-84-85-86-87-8831
30
29
28
27
26
25
24
Figure 2: T-S Diagram
Temperature (°C)
Sal
inity
(P
.S.U
.)
34
35
36
24 25 26 27
Figure 3B: a670 (m-1)
2
4
6
8
10
Time of Day
Dep
th (
m)
9am 1pm 5pm 9pm 1am5am
1.0
0.0
Figure 3C: b670 (m-1)
2
4
6
8
10
Time of Day
Dep
th (
m)
9am 1pm 5pm 9pm 1am5am
1.0
0.0
Figure 3D: c676 (m-1)
Time of Day
Dep
th (
m)
2
4
6
8
10
9am 1pm 5pm 9pm 1am5am
2.0
0.0
Figure 5B: bb440/b442
Time of Day
Dep
th (
m)
2
4
6
8
10
9am 1pm 5pm 9pm 1am5am
.05
.01
Historical, Synoptic, Future in
Situ/Remote Field/Error Observations
d0R0
FieldInitialization
Central Forecast
Sample Probability
Density
Mean
SelectBest
Forecast
Shooting
ESSE Smoothing viaStatistical Approximation
MinimumError
Variance
Within ErrorSubspace
(Sequential processing ofObservations)
MeasurementModel
A PosterioriResidules
dr (+)
Performance/AnalysisModules
OA viaESSE
GriddedResidules
Synoptic Obs
Measurement Model
Measurement Error
Covariance
^
cf(-)^
0
Options/Assumptions
Most Probable Forecast
mp(-)^
EnsembleMean
q{j^
Adaptive Error
SubspaceLearning
ConvergenceCriterion
Continue/StopIteration Breeding
PeripheralsAnalysisModules
Normalization
SVDp
Continuous Time Model Errors Q(t)
ScalableParallel
EnsembleForecast
+PerturbationsError SubspaceInitialization
1
j
q
1
j
q
^
^
^
uj(o,Ip)with physicalconstraints
+
(+)^
E(+)(+)
E0
(+)^
Ea(+)a(+)
FieldOperationAssumption
Key
(-)^
E(-)(-)
-+
+
+
-
+-
---
-
+
+
+
dC(-)
Data Residuals
^
+
+
+
--
+/-+
j=1
j=q
+
ESSE FlowDiagram
26
2422
20
18
16
1412
10
8
July, 200118 19 20 21
2
4
6
8
10
12
Dep
th (
m)
Thermistor 2
4
6
8
10
12
Dep
th (
m)
July, 200118 19 20 21
HR COAMPS / ROMS
KPP
2
4
6
8
10
12
Dep
th (
m)
July, 200118 19 20 21
MY2.5
Real-Time Ensemble Validation
-In an observationally rich environment, ensemble forecasts can be compared to real-time data
to assess which model is closer to reality and try to understand why.
Cocco-litho-
phores
Dino-flagellate
SedimentDetritus
PelagicDiatom
s
G. breveTricho-
desmium
Benthic Flora
Synecho-coccus
RelictDOM
PredatorClosure
LysedDOM
Iron NH4 NO3CO2
Air/SeaCO2
ExcretedDOM
Dust Physical Mixing and Advection
Light
Copepod Ciliates Hetero-Flagellet
Bacteria
Viruses
N2PO4 SiO4
Phytoplankton off the coast of Florida