michael behrenfeld, emmanuel boss, david siegel, & don shea
DESCRIPTION
Outline: The ‘Carbon-based’ NPP Approach Global Results Focus: Subtropical Gyre Patterns Field Comparison Productivity Issues Closing. PHYTOPLANKTON GROWTH RATES AND CARBON BIOMASS FROM SPACE. Michael Behrenfeld, Emmanuel Boss, David Siegel, & Don Shea. - PowerPoint PPT PresentationTRANSCRIPT
Michael Behrenfeld, Emmanuel Boss, David Siegel, & Don Shea
PHYTOPLANKTON GROWTH RATES AND CARBON BIOMASS FROM SPACE
Outline: The ‘Carbon-based’ NPP Approach Global Results Focus: Subtropical Gyre
PatternsField ComparisonProductivity
Issues Closing
References: Behrenfeld, Boss, Siegel, Shea 2005. Global Biogeochem. Cycles, 19, 10.1029/2004GB002299
Winn, Campbell, Christian, Letelier, Hebel, Dore, Fujieki, Karl. 1995. Global Biogeochem. Cycles 9:605-620.
Behrenfeld, Boss. 2003. Deep Sea Research. 50:1537-1549.
Behrenfeld, Prasil, Babin, Bruyant. 2004. J. Phycology. 40:4-25.
Garver, Siegel. 1997. J. Geophys. Res. 102: 18,607-18,625.
NASA Ocean Biology and Biogeochemistry Program
[Chlorophyll] = f [biomass, light, nutrients,…]
Carbon Approach: Scattering coefficients covary with particle abundance Scattering coefficients covary with phytoplankton carbon Chlorophyll variations independent of C are an index of
changing cellular pigmentation Chl:C can then be used as an index of the rate term Particulate beam attenuation and particle backscattering
coefficients reflect changes in particle load Remote sensing ‘inversion’ products: bbp, aph (cDOM)
thus a path to carbon biomass & growth rate from space
References:Garver, Siegel. 1997. J. Geophys. Res. 102: 18,607-18,625.
0 5 10 15 20 25 300.01
0.04
0.07
0.10
0.13
0.16
0.19
0 1 2 3
0.005
0.020
0.035
0.050
0.065
0.080
0.20.40.60.81.00.001
0.006
0.011
0.016
Ch
l:C
(m
g m
g-1)
Light (moles m-2 h-1)
Temperature (oC)
Ch
l:C
max
Growth rate (div. d-1)
Ch
l:C
min
Low Nutrient stress High
3 primary factors
Light
Temperature
Nutrients
Chl:C physiology
Labora
tory
Chl:Cmax
Chl:Cmin
Dunaliella tertiolecta20 oCReplete nutrientsExponential growth phase
Geider (1987) New Phytol. 106: 1-34
16 species = Diatoms
= all other species
Laws & Bannister (1980) Limnol. Oceanogr. 25: 457-473
Thalassiosira fluviatilis = NO3 limited cultures
= NH4 limited cultures
= PO4 limited cultures
75o
0o
15o
30o
90o
60o
45o
60o
75o90o
15o
30o
45o
75o
0o
15o
30o
90o
60o
45o
60o
75o90o
15o
30o
45o
NP
SP SA
NANP
SP
CP
SA
NA
SI
NICA
SO
L0
L1
L2
L3
L4
SO-all
Ch
loroph
yllV
ariance L
evel
excluded
28 Regional Bins
References: Behrenfeld, Boss, Siegel, Shea 2005. Global Biogeochem. Cycles, 19, 10.1029/2004GB002299
0 5 10 15 20 25 300.01
0.04
0.07
0.10
0.13
0.16
0.19
0 5 10 15 20 25 300.01
0.02
0.03
0.04
0.05
0 1 2 3
0.005
0.020
0.035
0.050
0.065
0.080
0 1 2 3
0.005
0.007
0.009
0.011
0.013
0 5 10 15 20 25 300.001
0.006
0.011
0.016
0.20.40.60.81.00.001
0.006
0.011
0.016
Ch
l:C
(m
g m
g-1)
Light (moles photons m-2 h-1)
Temperature (oC)
Ch
l:C
max
Growth rate (div. d-1)
Ch
l:C
min
Low Nutrient stress High
Labora
tory
Temperature (oC)
Low Nutrient stress High
Ch
l:C (m
g mg
-1)C
hl:C
max
Ch
l:Cm
in
Space
{median r2 = 0.85}
Ref
eren
ces:
Beh
renf
eld,
Bos
s, S
iege
l, S
hea
200
5. G
loba
l
Bio
geoc
hem
. Cyc
les,
19,
10.
1029
/200
4GB
0022
99
Growth rate (divisions d-1)0.0 0.5 1.0 1.5 2.0
Rel
ativ
e Fr
eque
ncy
0.0
0.2
0.4
0.6
0.8
1.0
Rel
ativ
e fr
eque
ncy
0 0.5 1.0 1.5 2.0
Growth rate (division d-1)
Boreal Summer Boreal Winter
Growth rate () = max f (nuts, temp) g (light)
2 divisions d-1
Banse (1991)1 – exp -3light
Chl:Csat
( Chl:CN,T-max ) Light
References: Behrenfeld, Boss, Siegel, Shea 2005. Global Biogeochem. Cycles, 19, 10.1029/2004GB002299
Chl
orop
hyll
b bp
0.00
0.02
0.04
0.06
0.08
0.10
Chl:C
0.004
0.005
0.006
0.007
0.008
0.009
0.010
Chl
orop
hyll
b bp
0.03
0.04
0.05
0.06
0.07
0.08
0.09
Chl:C
0.005
0.006
0.007
0.008
0.009
0.010
Chl
orop
hyll
b bp
0.00
0.02
0.04
0.06
0.08
Chl:C
0.004
0.005
0.006
0.007
0.008
0.009
0.010
Chl
orop
hyll
b bp
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.14
0.16
Chl:C
0.004
0.006
0.008
0.010
0.012
0.014
0.016
0.018
0.020
1998 1999 2000 2001 2002
Year
Chl
orop
hyll
S
cale
d C
arbo
n
Chl
:C
(r
ight
axi
s)
Oligotrophic Oceans
North Atlantic
South Pacific
South Atlantic
North Pacific
Chl
orop
hyll
b bp
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.14
0.16
Chl:C
0.004
0.006
0.008
0.010
0.012
0.014
0.016
0.018
0.020
1998 1999 2000 2001 2002
Year
References:Winn, Campbell, Christian, Letelier, Hebel, Dore, Fujieki, Karl. 1995. Global Biogeochem. Cycles 9:605-620.
North Pacific: HOT
North Pacific & North Atlantic: 14C
References:Behrenfeld, Boss. 2003. Deep Sea Research. 50:1537-1549.
0 10 20 30 40 50
0
3
6
9
12
15
18
0.0
0.3
0.6
0.9
1.2
1.5
1.8
0 10 20 30 40 50 60 70
0
3
6
9
12
15
18
0.0
0.3
0.6
0.9
1.2
1.5
1.81992 1993 1994 1995 1996 1997
* *
1994199319921991 19961995
Sequential Observation
Mea
sure
d P
bo
pt
Measu
red cp :C
hl ratio
BATS
HOT
Primary Production
…NPP = f [Carbon, Zeu, , g (I0)]…
Boreal Winter
Chl
orop
hyll-
base
dC
arbo
n-ba
sed
Boreal Summer
Net P
rimary P
roduction (mg m
-2)
0
1200
800
400
1500
References:Behrenfeld, Boss, Siegel, Shea 2005. Global Biogeochem. Cycles, 19, 10.1029/2004GB002299
Net
Pri
mar
y P
rodu
ctio
n (P
g C
mon
th-1)
= C
arbo
n-ba
sed
esti
mat
e=
Chl
orop
hyll
-bas
ed e
stim
ate
(VG
PM
)
0.008
0.010
0.012
0.014
0.016
0.018
0.020
1998 1999 2000 2001 2002
Year
0.08
0.10
0.12
0.14
0.16
0.18
0.08
0.10
0.12
0.14
0.16
0.18
0.20
0.08
0.10
0.12
0.14
0.16
0.18
0.20
North Atlantic
South Pacific
South Atlantic
North Pacific
References:Winn, Campbell, Christian, Letelier, Hebel, Dore, Fujieki, Karl. 1995. Global Biogeochem. Cycles 9:605-620.
North Pacific: HOT
DIRECTIONS
f (N,T): linear, zero intercept ‘Ek-independent’ variability**PIC (e.g., coccoliths)cDOM vs pigment absorption (10 Pg y-1)Particle size distributionsSpecies-dependent physiology
New Remote Sensing….
** References: Behrenfeld, Prasil, Babin, Bruyant. 2004. J. Phycology. 40:4-25.
Growth Rates, Carbon Biomass, & Ecosystem Models
THURSDAY
(SS26; 4:30 pm) Patrick Schultz et al. Investigating the balance between phytoplankton growth and loss from space
(SS25; 6:45 pm) Andy Jacobson et al. An inductive ocean ecology model based on satellite observations of phytoplankton carbon biomass.
BACKUP
0.0 0.2 0.4 0.6 0.8
0.000
0.001
0.002
0.003
0.004
0.005
b bp (
m-1)
Chlorophyll (mg m-3)
‘physiology domain’
‘biomass domain’
Intercept = bbp from stable component of the bacterial population
C = scalar (bbp – intercept)
= 13,000 (bbp – 0.00035)
Intercept = 0.00017 m-1
Stramski & Kiefer (1991) Prog. Oceanogr. 28, 343-383 Cho & Azam (1990) Mar. Ecol. Prog. Ser., 63, 253-259
Phytoplankton Carbon = 25 – 35% POC Eppley et al. (1992) J. Geophys. Res., 97, 655-661 DuRand et al. (2001) Deep-Sea Res. II, 48, 1983-2003 Gundersen et al. (2001) Deep-Sea Res. II 48, 1697-1718
75o
0o
15o
30o
90o
60o
45o
60o
75o90o
15o
30o
45o
75o
0o
15o
30o
90o
60o
45o
60o
75o90o
15o
30o
45o
NP
SP SA
NANP
SP
CP
SA
NA
SI
NICA
SO
L0
L1
L2
L3
L4
SO-all
Ch
loroph
yllV
ariance L
evel
excluded
28 Regional Bins