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![Page 1: ‘Breathing’ of the Terrestrial Biosphere: Lessons Learned from a Global Network of Carbon Dioxide and Water Vapor Flux Measurement Systems and Applications.](https://reader036.fdocuments.in/reader036/viewer/2022062719/56649ee45503460f94bf2a82/html5/thumbnails/1.jpg)
‘Breathing’ of the Terrestrial Biosphere: Lessons Learned from a Global Network of Carbon
Dioxide and Water Vapor Flux Measurement Systems and Applications towards studying Methane
Dennis BaldocchiUniversity of California, Berkeley
Workshop onON THE RELEVANCE OF SURFACE AND
BOUNDARY LAYER PROCESSES FOR THE EXCHANGES OF REACTIVE- AND
GREENHOUSE GASES", Wageningen, The Netherlands
9-12th of October 2007.
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Outline
• Background – Coupled Carbon, Water and N Cycles– Eddy Covariance
• Long-Term Carbon Fluxes– Trends and Inter-annual Variability– Flux Partitioning– Disturbance
• Long-Term Water Vapor Fluxes– Mechanisms– Annual Fluxes
• Long-term Methane Fluxes – New Methane Measurements
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Coupled Carbon, Water, Methane and Energy Fluxes
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Eddy Covariance
• Direct measure of the flux density between the atmosphere and biosphere
• In situ
• Quasi-continuous
• Integrative of broad area
• Introduces no artifacts, like chambers
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F ws w sa ~ ' ' s c
a
( )
Eddy Covariance Technique
Mean
Fluctuation
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0
)('' dScwF wc
The Flux Density is defined by the integral of the CoSpectrum
n/u
0.001 0.01 0.1 1 10
nS
wc(
n)/
w'c
'
0.0001
0.001
0.01
0.1
1
D310 0900
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Conservation Budget, Advection and Flux Divergence
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0 0
' '( ) ' '(0) ( )h h
a a a
sF w s h dt w s S z dz
t
Must Consider Storage in Air Layer, as at night or with Plume Impaction
1997Temperate Deciduous ForestOak Ridge, TN
Bi-Weekly Period after Jan 1., 1993
0 5 10 15 20 25
Sto
rag
e C
O2 F
lux
(m
ol m
-2 s
-1)
-5
-4
-3
-2
-1
0
1
2
3
4
5
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-180 -150 -120 -90 -60 -30 0 30 60 90 120 150 180
Longitude
-90
-75
-60
-45
-30
-15
0
15
30
45
60
75
90
Lat
itu
de
FLUXNET 2007
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FN (gC m-2 y-1)
-1500 -1000 -500 0 500 1000 1500
p(x)
0.00
0.01
0.02
0.03
0.04
0.05
0.06
0.07
mean: -182.9 gC m-2 y-1
std dev: 269.5n: 506
Baldocchi, Austral J Botany, submitted
Probability Distribution of Published NEE Measurements, Integrated Annually
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FLUXNET Database: n ~ 300 in 2003; n ~ 430 in 2005
Does pdf change with time and/or as the Network Grows?
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FA (gC m-2 y-1)
0 500 1000 1500 2000 2500 3000 3500
FN (
gC m
-2 y
-1)
-1000
-800
-600
-400
-200
0
200
400
Baldocchi, Austral J Botany, submitted
Does Net Ecosystem Carbon Exchange Scale with Photosynthesis?
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Length of Growing Season, days
50 100 150 200 250 300 350
FN (
gC
m-2
yr-1
)
-1000
-800
-600
-400
-200
0
200
Temperate and Boreal Deciduous Forests Deciduous and Evergreen Savanna
Baldocchi, Austral J Botany, submitted
Net Ecosystem Carbon Exchange Scales with Length of Growing Season
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FA (gC m-2 y-1)
0 500 1000 1500 2000 2500 3000 3500 4000
FR (
gC m
-2 y
-1)
0
500
1000
1500
2000
2500
3000
3500
4000
UndisturbedDisturbed by Logging, Fire, Drainage, Mowing
Baldocchi, Austral J Botany, submitted
Ecosystem Respiration Scales with Ecosystem Photosynthesis, with Offset by Disturbance
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Conifer Forests, Canada and Pacific Northwest
Stand Age After Disturbance
1 10 100 1000
FN (
gC m
-2 y
-1)
-600
-400
-200
0
200
400
600
800
1000
Time Since Disturbance Affects Net Ecosystem Carbon Exchange
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Harvard Forest
Year
1990 1992 1994 1996 1998 2000 2002 2004 2006
Ca
rbo
n F
lux
(gC
m-2
y-1
)
-600
-400
-200
0
1000
1200
1400
1600
1800
FNFAFR
Interannual Variation and Long Term Trends in Net Ecosystem Carbon Exchange, Photosynthesis and Respiration
Urbanski et al 2007 JGR
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Interannual Variability in FN
d FA/dt (gC m-2 y-2)
-750 -500 -250 0 250 500 750 1000
d F
R/d
t (g
C m
-2 y
-2)
-750
-500
-250
0
250
500
750
1000Coefficients:b[0] -4.496b[1] 0.704r ² 0.607n =164
Baldocchi, Austral J Botany, submitted
Interannual Variations in Photosynthesis and Respiration are Coupled
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Soroe, DenmarkBeech Forest1997
day
0 50 100 150 200 250 300 350
-10
-5
0
5
10
15
20
NEE, gC m-2 d-1
Tair, recursive filter, oC
Tsoil, oC
Data of Pilegaard et al.; Baldocchi et al. Int J. Biomet, 2005
Soil Temperature: An Objective Indicator of Phenology??
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Temperate Deciduous Forests
Day, Tsoil =Tair
70 80 90 100 110 120 130 140 150 160
Day
FN=
0
70
80
90
100
110
120
130
140
150
160
Canopy Photosynthesis Starts when Soil Temperature Matches Mean Annual Air Temperature
Baldocchi et al 2005 Int J Biomet
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Spatialize Phenology with Flux-Based Transformation & Climate Map
Mean Air Temperature, C
4 6 8 10 12 14 16 18
Day
of N
EE
= 0
60
80
100
120
140
160
Coefficients:b[0]: 169.3b[1]: -4.84r ²: 0.691
White, Baldocchi, Schwartz, JGR, submitted
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White, Baldocchi and Schwartz, JGR, submitted
Flux Based Phenology Patterns with Match well with data from Independent Phenology Network
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Penman Monteith Equation
Function of:
•Available Energy (Rn-S)•Vapor Pressure Deficit (D)•Aerodynamic Conductance (Gh)•Surface Conductance (Gs)
E
s R S C G D
sGG
n p H
H
s
( )
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Rcanopy (s m-1)
10 100 1000 10000
E/
Ee
q
0.00
0.25
0.50
0.75
1.00
1.25
1.50
1.75
2.00
wheatcornjack pineoak-savanna
Effects of Functional Types and Rsfc on Normalized Evaporation
Rc is a f(LAI, N, soil moisture, Ps Pathway)
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A (mol m-2 s -1)
0 1 2 3 4 5 6 7 8
gs
(mm
ol
m-2
s-1
)
0.00
0.02
0.04
0.06
0.08
0.10
0.12
0.14
0.16
0.18
0.20
oak, varying lightCa: 360 ppmTa: 25 C
Stomatal Conductance Scales with Photosynthesis
Wilson et al. 2001, Tree PhysiologySchulze et al 1994. Annual Rev Ecology
Na (g m-2)
0.0 0.5 1.0 1.5 2.0 2.5 3.0
Vcm
ax ( m
ol m
-2 s
-1)
0
20
40
60
80
Photosynthetic Capacity Scales with Nitrogen
after Schulze et al (1994)
leaf nitrogen (mg g- 1̀)
5 10 15 20 25 30 35 40
ma
xim
um
sto
ma
tal
co
nd
uc
tan
ce
(m
m s
-1)
0
2
4
6
8
10
12
14
Stomatal Conductance scales with Nitrogen
Stomatal Conductance Scales with N, via Photosynthesis
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Boreal Forest
Vcmax*LAI
0 20 40 60 80 100 120 140 160 180 200
QE/Q
E,e
q
0.6
0.7
0.8
0.9
1.0
1.1
1.2
1.3
k=8.0
k=10
k=7.0
Effects of Leaf Area and Photosynthetic Capacity on Normalized Evaporation:
Watered-Deficits
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Eco-hydrology:ET, Functional Type, Physiological Capacity and Drought
?
?
?
E/
Eeq
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Use Appropriate and Root-Weighted Soil Moisture
Soil Moisture, arthimetic average
0
0
z
z
z dP z
dP z
Chen, Baldocchi et al, in prep.
Soil Moisture, root-weighted
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Interannual Variation ET
Vaira 2004
Day
0 50 100 150 200 250 300 350
E (
mm
d-1
)
0
1
2
3
4
5
2001: 301 mm 2002: 292 mm 2003: 353 mm 2004 : 284 mm
Oak Savanna
Day
0 50 100 150 200 250 300 350
ET
(m
m d
-1)
0
1
2
3
4
5
2002: 389 mm2003: 422 mm2004: 340 mm2005: 484 mm
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Gs (mm s-1)
0 2 4 6 8 10 12 14 16
LE/L
Eeq
0.0
0.2
0.4
0.6
0.8
1.0
Savanna WoodlandAnnual Grassland
Monthly Averages
Landscape DifferencesOn Short Time Scales, Grass ET > Forest ET
Ryu, Baldocchi, Ma and Hehn, JGR-Atmos, submitted
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California Savanna
Hydrological Year
02_03 03_04 04_05 05_06 06_07
Eva
pora
tion
(mm
y-1
)
240
260
280
300
320
340
360
380
400
420
440
Oak WoodlandAnnual Grassland
Role of Land Use on ET:On Annual Time Scale, Forest ET > Grass ET
Ryu, Baldocchi et al, JGR-Atmos, submitted
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•Savanna Uses More Water than Grassland•Savanna Soil holds about 78 mm more Water•Annual ET Decreases with Rg•Rg is negatively correlated with Rain and Clouds•System is Water not Radiation Limited
Different Land Use
<Rg> (MJ m-2 d-1)
17.4 17.6 17.8 18.0 18.2 18.4
Eva
po
ratio
n (
mm
y-1
)
240
260
280
300
320
340
360
380
400
420
440
460
Oak Savanna WoodlandAnnual Grassland
Ryu, Baldocchi, Ma, Hehn, JGR-Atmos, submitted
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Anoxic Sediments
Water
Fluxes, Sources andSinks of Methane
Air-WaterExchange
Air
Ebullition
MethanogenicBacteria
XylemTransport
Oxidation:Methanotropic
Bacteria
CO2
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Whiting and Chanton, 1993 Nature
Methane Efflux Scales with NEP
McMillan et al 2007 JGR
Rice in Ca
Shurpali and Verma, 1998
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Whalen 2005 Env Eng Sci
Methane Fluxes Experience Much Seasonality and transcend several
Orders of Magnitude
McMillan et al 2007 JGR
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Hendricks et al 2007 Biogeoscience
Role of Landscape in Holland
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Interannual Variation in Methane Fluxes due to Water Table
Shurpali and Verma, 1998
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Methane Emission and Water Table
Roulet et al, 1992 TellusBubier and Moore, TREE, 1994
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Measuring Methane with Off-Axis Laser Spectrometer
Los Gatos Research
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HI Tran Methane Spectra1651 nm band IR absorption for Laser system
Wavelength (microns)
1.6500 1.6505 1.6510 1.6515 1.6520
Line
Abs
orpt
ion
(cm
mol
ecul
e-1
)
0.0
2.0e-22
4.0e-22
6.0e-22
8.0e-22
1.0e-21
1.2e-21
1.4e-21
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Methane power spectrum
f/U
0.0001 0.001 0.01 0.1 1 10
Scc
/cc
0.00001
0.0001
0.001
0.01
0.1
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Flux detection limit
F rwc w c rwc ~ 0.5
w ~ 0.125 m s-1
c ~ 0.84 ppb
minimum methane flux density on the order of 4.68 nmol m-2 s-1 (0.27 mg CH4 m
-2 h-1),
Methane Lab Calibration
Time
260 280 300 320 340 360 380 400
Met
hane
Sen
sor
1880
1890
1900
1910
1920
Mean: 1897.4277StdDev: 0.8411Std Err 0.0219
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Methane Fluxes over a Peatland
Detto and Baldocchi, unpublished
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Methane Fetch Daytime, Ideal
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Methane Fetch at Night, Patchy and Complex
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Day and Night Footprints over Peatland
Detto and Baldocchi, unpublished
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Conclusions
• Net Ecosystem Carbon Exchange is a result of close coupling between photosynthesis and respiration
• Disturbance produces an additional respiratory source• Long-term measurements are showing trends in CO2 exchange due
to ecosystem dynamics• Methane Fluxes transcend several orders of magnitude and
experience much seasonality due to modulation in water table and net primary productivity
• New opportunities to measure other traces gases, like methane, with new generation of tunable diode laser spectrometers
• Fluxes of trace gases is more complicated due to plume impaction, over small background signal, and patchy sources
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WU
U
U
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Fc, 1d rotation
-30 -20 -10 0 10
Fc
3D r
otat
ion
-30
-20
-10
0
10
2% difference or 15 gC m-2 y-1
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wind direction
0 40 80 120 160 200 240 280 320 360
w/u
-0.5
-0.4
-0.3
-0.2
-0.1
0.0
0.1
0.2
0.3
0.4
0.5
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Filtering Functions
• High pass filtering• Low pass filtering• Digital sampling• Sensor response time• Attenuation of signal via
sampling• Line or volume averaging• Sensor separation
w c H Co dmeasured wc' ' ( ) ( )z 0
H H H H Hn nn
N
( ) ( ) ( )... ( ) ( ) 1 2
1
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Frequency
0.00001 0.0001 0.001 0.01 0.1 1 10 100
T(f
)
0.0
0.2
0.4
0.6
0.8
1.0
1.2
Low Pass FilterHigh Pass Filter
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F w w wc c c ' '
a
a
T
T
' '
F wT
w Tcc ' ' ' '
Many sensors don’t measure mixing ratio, they measure molar density
1st order assumption, Boussinesq Approximation
w w a a ' ' /
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a
a
v
vm m
p
RT
w wm
m
w m
m
w T
Ta a
a
v
v
a
v a
a v
' ' /'
( )' ''
1
‘correction’ for moist air
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Closed Path TDL
,c nat c qca
w w w
After Detto and Baldocchi
, ,ex
, ,ex
c c nat c t
c c nat c t
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0 a B
w s
zS z
' '( )
Ideal, steady-state, infinite fetch, no advection
Integrate and Define Constant Flux Layer
a a
h
w s h w s S z dz' ' ( ) ' ' ( ) ( ) z00
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a a Bus
xw
s
z
w s
zS x z t
LNM
OQP
LNM
OQP
', ,b g
Advective conditions