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Jia Hu1, Chun-Ta Lai2, Britton Stephens3, James Ehleringer2, Russ Monson1 and Dave Schimel3
1Ecology and Evolutionary Biology, University of Colorado, 2Department of Biology, University of Utah, 3National Center for Atmospheric Research
Boundary-layer measurements of CO2 concentration, carbon and oxygen isotopes of atmospheric CO2 over
montane forest regions in Colorado, USA
Airborne Carbon in the Mountains Experiment (ACME)
Introduction
Using satellite data and ecosystem models, Schimel et al. (2002) showed a
disproportionate carbon sink in the western montane regions to the continental United
States. The mountain ecosystems, particularly areas along the Rocky Mountains, have
been suggested as “islands” of high carbon uptake that are responsible for 25 to 50 %
of US carbon uptake (Schimel et al., 2002). This high carbon uptake is surprising
given a landscape of otherwise arid and semiarid ecosystems with relatively low
carbon sequestration under current land-use practice. To understand mechanisms that
control carbon exchange, potentially through carbon-water interactions and energy
redistribution in forested mountain ecosystems, the Airborne Carbon in the Mountains
Experiment (ACME) was proposed under multi-institutional collaborations with a
focused area along the Front Range of the Colorado Rocky Mountains. Recognizing
that direct measurements of carbon budget using atmospheric techniques is impossible
in complex topography, ACME relies on model-data integration with a combination of
measurements made at various scales, including airborne and ground-based CO2
concentration, 13C and 18O of CO2 measurements to calibrate and constrain models.
Quantifying respiration in montane regions is particularly difficult owing to the
complexity in the topographic effect on advection and drainage flow. ACME
emphasizes the importance of characterizing respiration and its isotopic signatures. A
“Keeling Plot” approach can be applied to estimate the carbon isotope ratios of
nighttime respired CO2 (δ13CR). Flasks were filled in the early morning to measure
concentrations, 13C and 18O of CO2 in the boundary layer using a C-130 aircraft.
Flasks were also filled inside forest canopies by an automated sampler on the night
before a research flight. Using flask samples collected in both ground-based and
airborne measurements, we were able to compare δ13CR values associated with surface
respiration and those in the residual boundary layer. In addition, vertical profiles of
CO2 and its isotope signatures in the convective boundary layer (CBL) were measured,
which were compared to tower-based measurements conducted hourly during the day.
We show here preliminary results of flask measurements from two ACME campaigns
conducted in May and July, 2004.
Figure 1. Composite of the NSF/NCAR C-130 research aircraft flying over the Rocky Mountains in Boulder. (Photo by Carlye Calvin)
Figure 2. An eddy covariance flux tower in a subalpine forest at ~ 3050 m above sea level, at the Niwot Ridge AmeriFlux site near Boulder, Colorado (Photo by Steve Oncley).
Figure 3. A view from the cabin of C-130 during a research flight.
Flask sample collection
Flask samples were collected both on the ground and in the atmospheric boundary layer.
Two sampling strategies were employed for airborne measurements: first is to fill flasks in
the early morning to capture respiration signatures before the nocturnal boundary layer was
broken from convective mixing. As the ground heated after sunrise and the depth of CBL
increased, flasks were collected again to estimate isotope ratios of net CO2 exchange
between the atmosphere and the biosphere.
Airborne flask measurements. Flasks were filled on the aircraft using the NCAR MEDUSA,
originally designed for O2/N2 sample collections. The MEDUSA sampling unit was
customized for the ACME to fill 16 100-mL flasks per flight. Sampling involves flushing a
flask for > 20 s (median time = 2.4 min), which is 11 times of the flask volume. Whole air
samples were drawn from an inlet located upstream of engine exhaust, pre-dried by flowing
through a magnesium perchlorate trap (120 mL) at a constant flow rate of 3.3 SLPM, then
pressurized to 1 atm before being collected in 100-ml glass flasks (Kontes Glass Co.,
Vineland, NJ). A relief valve was set at 1.7 atm to prevent over-pressurizing glass flasks.
Ground-based flask measurements. Two programmable flask samplers controlled by CR23X
dataloggers (Campbell Scientific, Logan, UT) were deployed to fill flasks within and above
forest canopies (Schauer et al. 2003). The first sampled at 15-min intervals the night before a
research flight (9:00 pm ~ 12:30 am). These measurements were conducted within forest
canopies and were used to characterize 13CR values at the ecosystem scale. The second was
programmed to sample every 45 minutes and started approximately two hours before the
airborne flights (4:30 am ~ 3:00 pm). These measurements overlapped aircraft observations,
providing information about daytime CO2 exchange in the atmosphere-forest interface. Figure 5. One of the two automated flask samplers deployed in Niwot Ridge AmeriFlux site.
Figure 4. “MESUSA” sampling unit customized for filling 100-ml flasks on C-130.
Figure 6. A GC-IRMS system for high precision analyses of concentration, 13C and 18O of atmospheric CO2 at SIRFER laboratory, University of Utah.
Isotope analyses
Flasks were analyzed at the Stable Isotope Ratio Facility for Environmental Research
(SIRFER), University of Utah using an integrated GC-IRMS system. Four replicate
of 1-mL aliquots were sub-sampled from a 100-mL flask to analyze CO2
concentrations, 13C and 18O of atmospheric CO2. An outlier test (± 1 S.D.) was
subsequently performed offline to reduce analytical noise. Measurement precision
was determined as 0.4 ppm for CO2 concentration, 0.06 ‰ for 13C and 0.09 ‰ for
18O (Schauer et al. RCMS, in press).
Figure 7. Vertical profiles of CO2 concentration, 13C and 18O of CO2
measured in the residual boundary layer (RBL) on the morning of May 20
and July 22, 2004. Sampling height is referenced to the mean sea level
(MSL). Profiles of 13C closely mirrored those of CO2 concentration, while
profiles of 18O resembled those of 13C. For the early morning profile on
both sampling days, the impact of respiration was evident in the NBL, where
higher CO2, lower 13C and lower 18O values were found below 3500 m.
More negative 13C values inside NBL were associated with CO2 released
from decomposition of 13C-depleted plant material and microbial respiration.
The smaller values of 18O in CO2 within NBL reflected the fact that soil CO2
efflux carried the 18O signature of soil water, which was relatively depleted
in 18O compared to that of leaf water. The strong 18O gradient close to the
ground suggested that soil respiration has a profound impact on ecosystem
respiration in mountain ecosystems. A transition layer where air entrained
from RBL into NBL can be clearly identified in the early morning owing to
the capping of thermal inversion. The vertical gradient observed on May 20
was much smaller compared to that measured at 6:00 am on July 22, which
can be explained by the lower respiration rate in spring associated with lower
temperature. Another explanation is that a deeper NBL on May 20 might
dilute respired CO2 with a greater air volume. On July 22, a second profile
measured at 8:00 am indicated a more well mixed boundary layer, suggesting
a rapid mixing from thermal convection.
Results
Vertical profiles
Figure 8. Comparison between vertical profiles of CO2
concentration, 13C and 18O of atmospheric CO2 measured in the
morning and in the afternoon of July 20, 2004. Lower altitude was
achieved during morning flights in order to collect air samples in
the NBL. While respiration clearly showed its impact on NBL
during morning hours, afternoon profiles showed a reversed trend
with lower CO2 concentration and higher 13C values closer to the
ground. This reversed vertical profile was due to CO2 uptake via
photosynthesis where plants were known to discriminate against 13C, leaving the atmosphere enriched in 13CO2.
Figure 9. Comparison between 3 vertical profiles of CO2
concentration, 13C and 18O of atmospheric CO2 measured
on the morning of July 29, 2004. All 3 profiles showed great
similarities for the vertical structure of atmospheric
boundary layer except a more negative 18O value at 2000 m
at 8:00. Figures 7-9 indicated that a transition layer where
air aloft entrained into surface boundary layer commonly
occurred between 2000 - 3000 m MSL. The top of the
nocturnal boundary layer extended as high as 1000 m above
the ground during these flights.
Figure 10. Comparison between diurnal variations of CO2 concentration, 13C and 18O
of atmospheric CO2 measured above forest canopies and in the CBL. Two days were
selected representing spring and summer conditions. First notice the rapid decrease in
CO2 concentration above forests in the early morning, owing to the break up of
nocturnal boundary layer. Above-canopy CO2 concentration remains roughly constant in
the afternoon, a well-mixed condition achieved by strong convective turbulence. Midday
values of CO2 concentration were about 7 ppm lower on July 29 than May 20. This
difference in the CBL CO2 concentration reflects the higher photosynthetic uptake in the
northern hemisphere in the summer. Values of 13C largely mirror those of CO2
concentration. There were times that measurements in CBL were nearly identical to
those above the canopy (e.g., early morning on May 20 and in the afternoon of July 29).
However, there were also times when CBL measurements were clearly different from
those measured above forests. For instance, CO2 concentration was higher while 13CO2
was lower in the CBL from 7 to 10 am on July 29. This may be due to effects of remnant
CO2 from the previous night forming a residual boundary layer on the aircraft
measurements. Such influences were dismissed after the convective boundary layer grew
in the afternoon from surface heating, giving closer comparisons to canopy values. 18O
values in CO2 measured in CBL were very comparable to those measured above forests,
which clearly showed an enrichment effects of photosynthesis on the morning of July
29.
Diurnal variations of CO2, 13C and 18O
Keeling plot
RCCO
SlopeC 13
2
13
Keeling (1958) GCA 13:322
Figure 11. Using a linear regression between the inverse of CO2 concentration
and carbon isotope ratio, one can estimate the carbon isotope ratio of ecosystem
respiration, denoted here as 13CR. This is known as the Keeling plot approach.
Data shown here are collected in a C3-C4 tallgrass prairie, which is not a part of
the ACME study. It is shown to demonstrate that flux-weighted 13CR values
should fall between boundaries set by C3 and C4 photosynthesis had both
sources were mixed into the sampling footprint. This is more likely to happen
for samples collected in the CBL which integrates sources over a large spatial
area.Figure 12. Sunrise at the Jeffco airport,
Broomfield Colorado, shortly before an
early morning flight. Air samples were
collected in the early morning to capture
respiration signals before the nocturnal
boundary layer dissipates.
Carbon isotope ratio of respiration
Figure 13. Comparisons between carbon isotope ratios of
respiration measured in CBL (13CCBL) and within forest canopies
(13CR). For the 3 selected days, values of 13CCBL were slightly
more positive, considerably more positive and indistinguishable
from those of 13CR on May 20, May 28 and July 22 respectively.
More positive values in CBL could be interpreted as that samples
collected in CBL integrate fluxes over a larger spatial area,
therefore they are likely to be affected by non-local sources of C4
plants afar from the mountain regions. Here sampling height is
referenced to the mean sea level (MSL).Table 1. Comparisons between 13CCBL and
13CR values for aircraft data when ground-
based measurements were also available. All
the 13CCBL values were consistently greater
than or indistinguishable from 13CR values in
both May and July periods. Our interpretation
is that aircraft data were subject to influences
of C4 photosynthesis several kilometers away
from the sampling area, whereas 13CR
measurements only represent respiration from
coniferous forests below. Values of 13CR were
relatively constant and more robust compared
to 13CCBL values, which is partially due to
greater CO2 ranges obtained near the ground.
Discussion
• Measurements of CO2 concentrations, 13C and 18O of atmospheric CO2 were conducted by filling flasks in the
atmospheric boundary layer and on the ground in a subalpine forest in the Colorado mountain regions. These
measurements are an integral part of an extensive program (ACME) to investigate carbon sequestration in
mountain landscapes, potentially responsible for a significant fraction of carbon uptake in the U.S. The data
shown here will provide an independent check to ensure the quality of online CO2 concentration measurements.
Simultaneous measurements in the boundary layer and above forest canopies also provide a unique opportunity
to characterize boundary layer dynamics, including venting of surface respired CO2 from the nocturnal boundary
layer and the mixing of convective turbulence.
• While the data are preliminary, they promise to provide a great utility for model calibration and validation.
Quantifying carbon sequestration in the mountains will have to rely on models to interpret observations, whereas
model results are only useful if they can be verified by actual measurements. The isotope data will provide
additional information to constrain modeled fluxes from inverse calculations based on CO2 concentration
measurements.
• Isotopic discrimination by terrestrial biomes is an important parameter in global inverse models. Lai et al.
(2004, GBC:18, GB1041; 2004 GCB, in press) proposed a useful experimental approach to estimate carbon
isotope discrimination during photosynthesis at the canopy scale. However, current estimates of the
discrimination factor are sensitive to uncertainties in the background atmosphere. Flask measurements
conducted here will allow for further examinations on this issue.
Acknowledgements: This research is supported, in part, by the Terrestrial Carbon Processes (TCP)
program by the office of Science (BER), U.S. Department of Energy under Grant No. DE-FG03-
00ER63012, the NSF Biocomplexity program, and NCAR Biogeosciences initiative.