Global Change Biology (2003) 9, 346±357
Nitrogen oxide gas emissions from temperate forest soils
receiving long-term nitrogen inputs
RODNEY T. VENTEREA*, PETER M. GROFFMAN*, LOUIS V. VERCHOT{, ALISON H.
M A G I L L { , J O H N D . A B E R { and P A U L A . S T E U D L E R §
*Institute of Ecosystem Studies, PO Box AB, Millbrook, NY 12545, USA, {International Center for Research in Agro-Forestry,
PO Box 30677, Nairobi, Kenya, {Complex Systems Research Center, University of New Hampshire, Durham, NH 03824, USA,
§The Ecosystem Center, Marine Biological Laboratory, Woods Hole, MA 02543, USA
Abstract
From spring 2000 through fall 2001, we measured nitric oxide (NO) and nitrous oxide
(N2O) fluxes in two temperate forest sites in Massachusetts, USA that have been treated
since 1988 with different levels of nitrogen (N) to simulate elevated rates of atmospheric
N deposition. Plots within a pine stand that were treated with either 50 or
150 kg N ha21 yr21 above background displayed consistently elevated NO fluxes
(100±200 mg N m22 h21) compared to control plots, while only the higher N treatment
plot within a mixed hardwood stand displayed similarly elevated NO fluxes. Annual
NO emissions estimated from monthly sampling accounted for 3.0±3.7% of N inputs to
the high-N plots and 8.3% of inputs to the Pine low-N plot. Nitrous oxide fluxes in the
N-treated plots were generally < 10% of NO fluxes. Net nitrification rates (NRs) and NO
production rates measured in the laboratory displayed patterns that were consistent with
field NO fluxes. Total N oxide gas flux was positively correlated with contemporaneous
measurements of NR and NO3 concentration. Acetylene inhibited both nitrification and
NO production, indicating that autotrophic nitrification was responsible for the elevated
NO production. Soil pH was negatively correlated with N deposition rate. Low levels
(3±11 mg N kg21) of nitrite (NO2 ) were detected in mineral soils from both sites. Kinetic
models describing NO production as a function of the protonated form of NO2 (nitrous
acid [HNO2]) adequately described the mineral soil data. The results indicate that
atmospheric deposition may generate losses of gaseous NO from forest soils by promoting nitrification, and that the response may vary significantly between forest types under
similar climatic regimes. The lowering of pH resulting from nitrification and/or directly
from deposition may also play a role by promoting reactions involving HNO2.
Keywords: chemodentrification, N deposition, nitric oxide, nitrification, nitrous oxide
Received 22 July 2002; revised version received 1 October 2002 and accepted 4 November 2002
Introduction
Many forests in Europe and North America continue to
receive elevated levels of atmospheric N deposition, deriving mainly from fossil fuel combustion and fertilizer
production and use (Fenn et al., 1998; Gundersen et al.,
1998). Total N deposition rates can range from above
50 kg N ha 1 yr 1 in high elevation sites downwind of
Correspondence: Rodney T. Venterea, USDA-ARS, 439 Borlaug
Hall, 1991 Upper Buford Circle, University of Minnesota, St Paul,
MN 55108-6028, USA, tel. 612 624 7842, fax 651 649 5175,
e-mail: venterea@soils.umn.edu
346
industrial or agricultural areas to below 3 kg N ha 1 yr 1
in remote forests (NADP, 2002; Lovett et al., 1982;
Tietema, 1993). Significant increases in N deposition
rates worldwide have been predicted based on projected
increases in energy and fertilizer consumption (Galloway
et al., 1994; Hall & Matson, 1999). There is increasing
concern that anthropogenic N inputs may not only
exceed plant uptake capacity but may also have deleterious impacts on entire ecosystems. Potential effects include soil acidification (van Breemen et al., 1982),
nutrient imbalances and losses ( Johnson et al., 1991),
nitrate (NO3 ) leaching to groundwater and streams
(Kahl et al., 1993), soil emissions of N oxide gases
ß 2003 Blackwell Publishing Ltd
N I T R O G E N O X I D E G A S E M I S S I O N S 347
(Skiba et al., 1999) and, ultimately, forest decline (Aber
et al., 1998). More information is needed regarding the
partitioning of N inputs between different soil and plant
pools, the variation in responses among forest types, and
the effect on soil N cycling processes such as nitrification,
denitrification, and N trace gas production.
While soil-to-atmosphere emissions of N oxide gases
from forest soils have been proposed as a likely response
to persistent N additions (Aber et al., 1998; Fenn et al.,
1998), there have been only a few measurements of
N2O flux (Brumme & Beese, 1992; Klemedtsson et al.,
1997; Peterjohn et al., 1998), and fewer measurements of
both N2O and NO (Butterbach-Bahl et al., 1997; Skiba et al.,
1999), in response to N deposition in temperate forests.
Quantification of NO and N2O emissions may help to
improve total ecosystem N budget estimates for Nimpacted forests (Magill et al., 2000). Soil emissions of
N oxide gases themselves may have important impacts,
including possible effects on regional tropospheric ozone
levels, contribution to downwind N deposition, enhanced destruction of stratospheric ozone, and increases
in total greenhouse gases (Crutzen, 1979, 1981).
The chronic-nitrogen-addition experiment at the
Harvard Forest (HF) in central Massachusetts, USA is
one of the longest running and most intensive studies
of N deposition in temperate forest ecosystems. Since
1988, a variety of plant, soil, and whole ecosystem responses to experimental N additions have been monitored in two adjacent sites comprised of mixed
hardwood and red pine, respectively (Bowden et al.,
1991; Aber et al., 1993; Magill et al., 1997, 2000;
Nadelhoffer et al., 1999). While small increases in
N2O emissions have been observed in the pine forest,
N2O emissions have been estimated to account for
< 0.4% of the total ecosystem N budget at HF (Magill
et al., 1997, 2000). Increases in soil nitrification rates in
response to N inputs have also been observed at HF,
with the pine forest responding sooner than the hardwood forest (Magill et al., 2000). These results suggest
that nitrification-driven emissions of NO (and possibly
N2O) may also be increasing, since previous studies in
forest soils have found strong correlations between nitrification potential and N oxide fluxes (Verchot et al., 1999;
Davidson et al., 2000). However, emissions of NO had not
been measured at HF prior to the present study.
The objectives of the present study were (i) to make
updated field measurements of N2O flux and first-time
measurements of NO flux from long-term N deposition
study plots at HF, (ii) to compare fluxes between the
mixed hardwood and red pine plots, (iii) to examine the
influence of climatic factors on emissions rates, and (iv)
to investigate the microbial and chemical processes responsible for the elevated NO emissions which were
observed.
ß 2003 Blackwell Publishing Ltd, Global Change Biology, 9, 346±357
Methods and materials
Site description and long-term experimental design
Experiments were conducted at the chronic-N addition
plots at HF in central Massachusetts, USA (42830'N,
72810'W), which is part of the National Science
Foundation Long-Term Ecological Research network.
Since 1988, two adjacent forested areas have received
additions of NH4NO3 to simulate atmospheric
N deposition in excess of background wet plus dry deposition of 8 kg N ha 1 yr 1 (Magill et al., 2000). One of
the sites (hereafter referred to as `Hardwoods') is comprised of a mixture of deciduous tree species that regenerated following clear cutting ca. 1950. The forest is
dominated by black oak (Quercus velutina Lam.) and red
oak (Q. rubra L.). The other forest (hereafter referred to as
`Pines') is comprised primarily of even-aged red pine
(Pinus resinosa Ait.) planted in 1926. Experimental areas
within each forest are divided into four 30 m 30 m
(0.09 ha) plots, and each plot is further subdivided into
5 m 5 m (0.0025 ha) subplots. Annual treatments are as
follows: (i) control plot (no additions), (ii) low-N addition
plot ( 50 kg N ha 1 yr 1), and (iii) high-N addition plot
( 150 kg N ha 1 yr 1). Applications of NH4NO3 solution
are made in six equal treatments beginning the first week
of May and then at 4-week intervals ending in midSeptember. Further experimental details are described
by Magill et al. (1997). The low-N treatment level was
selected to represent the upper range of actual
N deposition rates (Lovett et al., 1982; Tietema, 1993;
Gundersen et al., 1998). The high-N treatment level was
employed in order to explore hypotheses related to the
concept of N saturation (Aber et al., 1989, 1998; Fenn et al.,
1998). The objective was to accelerate ecosystem responses that otherwise might occur over several decades,
so they might become evident within a more practical
experimental period (10±20 years).
Field NO and N2O fluxes
Within each plot, three interior subplots were randomly
selected for closed chamber NO and N2O flux measurements. Plot locations were fixed for the entire study. Field
gas fluxes were measured at approximately monthly
intervals during snow-free periods beginning 11 June
2000 and concluding 24 November 2001. During each
NO measurement, soil temperatures at 10 and 50 mm
below the soil surface were measured using soil temperature probes (Fisher Scientific). Monthly flux measurements were made during mid-morning to early
afternoon (10:00±14:00 local time), and were timed to
occur when soil temperatures in the upper 50 mm were
approximately equal to the mean of minimum and
348 R . T . V E N T E R E A et al.
maximum daily values. All reported monthly gas flux
data were collected at least 7 days after N application,
except the August 2000 and September 2000 data, which
were collected 2 days after N application.
The gas flux chamber design was identical to that used
in previous studies of N2O fluxes at HF (Bowden et al.,
1990, 1991). Chambers consisted of 287-mm diameter (ID)
by 40 mm high polyvinyl chloride (PVC) cylinders, which
were placed on permanently installed PVC base rings
immediately prior to measurement. At sampling intervals of approximately 15, 30 and 60 min following placement of the chamber, 9-mL gas samples were collected
using polypropylene syringes from gas sampling ports in
the centre of the chamber top. Replicate samples of ambient air taken during measurement periods were used as
time 0 samples. Samples were transferred to evacuated
glass vials, which were stored at room temperature prior
to N2O analysis by gas chromatography (GC) with electron capture detection. Flux of N2O was calculated from
the linear rate of change in N2O concentration, the chamber internal volume and soil surface area.
For NO flux measurement, a chamber of the same
dimensions as above fitted with inlet and outlet fittings
were used. Upon chamber placement, a continuous
gas stream (0.03±0.09 m3 h 1) was withdrawn from the
chamber and delivered to a chemiluminescent NOx
(NO NO2) analyzer (Unisearch Models LMA-3 and
LMA-3D) using a vacuum pump within the analyzer.
Prior to entering the analyzer, chamber gas was passed
through granular CrO3, which converts NO to NO2.
Outlet air from the analyzer was passed through
KMnO4-impregnated alumina granules, which act as a
NOx scrubber (Purafil, Inc.) and anhydrous CaSO4 (desiccant) prior to return to the chamber. In this configuration, the analyzer detects total NOx. Measurements were
periodically made with bypass of the CrO3 converter to
confirm that emissions of NOx consisted mainly (> 99%)
of NO and not NO2. Therefore, we hereafter use the term
`NO flux' to denote flux measured as total NOx.
Concentrations of NOx in the recirculating gas were
recorded at 10±30 s intervals for 4±5 min after placement
of the chamber top. The analyzer was calibrated within
1±24 h prior to measurements using gas streams containing NO in the range of 1±100 ppbv. Fluxes of NO (FNO,
mg N m 2 h 1) were calculated from
FNO
dC V
Q
CA
dt A
A
1
where dC/dt is the rate of change of NO concentration
(mg N m 3) over time (h) determined by linear regression,
V is the internal chamber volume (m3), A is the soil
surface area (0.065 m2), CA is the average NO concentration during the time interval of regression, and Q is the
recirculation air flow rate (m3 h 1). Deriving from mass
balance considerations, the final term in Eqn 1 accounts
for the removal of NO from the chamber headspace
during recirculation.
Additional experiments were done to examine responses in gas fluxes to experimental N addition or rain
events, and to record daytime fluctuations in gas fluxes
on an hourly time-scale. A previous study at this site
found no short-term response in N2O emission to
NH4NO3 applications over a period of 1±24 days
(Magill et al., 1997). In the present study, field NO fluxes
were measured 48 h and 1 h prior to, and 24 h, 48 h and
72 h following the NH4NO3 application of 29 May 2001.
The response of NO fluxes to wetting was examined in
August and October 2001. After measuring baseline gas
fluxes, a volume of deionized water equivalent to a
25-mm rainfall event was applied to the area inside of
and surrounding each chamber base ring to a distance of
0.25 m with a manual sprinkler. In August 2001, gas
fluxes were measured 6 and 30 h after water was applied.
In October 2001, fluxes were measured 24 h after water
was applied and gas fluxes were measured only in plots
which had previously displayed elevated NO fluxes. No
actual rainfall was recorded during the 48 h preceding
each wetting experiment. Daytime fluctuations in NO
flux and soil temperatures were examined on two days
in 2001 (3 July and 27 October). On these dates, measurements were made in the morning (7:00±8:30 LT), mid-day
(12:00±13:30 LT) and afternoon (16:00±18:00 LT). The experiments examining daytime fluctuations and responses
to N addition and wetting focused on NO emissions.
Previous studies at HF have closely examined the dynamics of N2O flux (Bowden et al., 1990, 1991; Magill
et al., 1997).
Soil sampling and analysis
On the same day of each monthly gas flux sampling, soil
samples (5±10 g each) were taken by hand trowel from 3
to 4 interior subplots and mixed together to generate two
composite samples, one each from the organic (Oe Oa)
and mineral horizons. These samples were dried in the
laboratory at 105 8C (mineral soil) or 65 8C (organic soil)
for 24±48 h in order to determine gravimetric soil water
content. Additional soil samples were collected in
summer 2000 (24 August) and spring 2001 (1 June) for
determination of inorganic N concentrations, soil pH and
rates of net nitrification, N mineralization and NO production. These samples were taken at least 72 h following
the August 2000 and May 2001 N applications from interior subplots other than those used for gas flux sampling. Prior to sampling, the upper layer (approximately
50±200 mm thick) of litter (Oi horizon) was removed from
the sampling area. A section of split PVC pipe (50-mm
ID 200-mm long) was then pounded into the soil to a
ß 2003 Blackwell Publishing Ltd, Global Change Biology, 9, 346±357
N I T R O G E N O X I D E G A S E M I S S I O N S 349
depth of 150 mm. Each core sample was separated into
organic (Oe Oa horizon) and mineral material, and delivered to the laboratory for processing within 1±3 days of
collection.
Samples were first passed through a 6-mm-mesh sieve.
Two subsamples ( 5 g each) of mineral and organic
sample were extracted for 1±2 h in 20 mL of 2 M
KCl. Extracts were filtered through Whatman No. 42
paper and stored at 4 8C prior to determination of
ammonium-N (NH
N) and nitrate plus nitrite-N
4
(NO2 N NO3 N) using an automated colorimetric
analyzer (Perstorp Analytical, 3000 series). On the same
day, two additional subsamples (10±30 g) were placed
into separate 250-mL glass jars, sealed loosely, and incubated in a humid atmosphere at 20 8C. After 14 days, a
subsample ( 5 g) was extracted with 2 M KCl as above.
Potential net nitrification rates were calculated from the
net increase in NO2 N NO3 N concentrations, and
potential net N mineralization rates were calculated from
the net increase in total inorganic N occurring during the
incubation period. Rates were expressed on a dry soil
mass basis (mg N kg 1 h 1). Soil pH was measured in
separate subsamples of soils collected in August 2000
by manually mixing soil with 1 M KCl at a soil-to-liquid
mass ratio of 2:1 (mineral soil) or 5:1 (organic soil). After
settling for 30±90 min, solution was poured off for determination of pH using a combination electrode.
Instantaneous rates of NO production in the incubating
soils were determined after 3±4 days of incubation by
sealing each jar with a specially fitted lid attached to a
dynamic flow-through system, which allowed for the
continuous delivery of a humidified air stream through
the jar prior to entering the NOx analyzer. Rates of NO
production on a dry soil mass basis (mg N kg 1 h 1) were
calculated from the difference between NO concentration
in air upstream and downstream of the soil, the air flow
rate, and the dry soil mass, as previously described
(Venterea & Rolston, 2000a).
The role of autotrophic nitrification in regulating NO3
production and NO production was examined using
acetylene (C2H2) inhibition. In parallel with the 14-day
incubation experiments, separate subsamples (10±30 g) of
each sample collected in June 2001 were placed in 250-mL
glass jars and treated with gas-phase C2H2 on the first
day of incubation. Headspace concentrations of 30±40 Pa
C2H2 were achieved by injecting 5 mL of 1000 Pa C2H2
through a butyl rubber septum into each jar. Following
C2H2 addition, jars were kept sealed for 24±48 h, opened
for 5±10 min to allow equilibration with ambient air, and
then were sealed loosely. Soils were re-treated with C2H2
a second time during the incubation (after 5±10 days).
Headspace concentrations of C2H2 in the range of
10±100 Pa (0.01±0.1%) have been shown to inhibit autotrophic nitrifying bacteria (e.g. Nitrosomonas sp.), which
ß 2003 Blackwell Publishing Ltd, Global Change Biology, 9, 346±357
mediate the oxidation of NH
4 to NO2 (Klemedtsson et al.,
1988). Rates of net nitrification and NO production were
determined in the C2H2-treated soils as for non-treated
soils. Prior to measuring NO production, jars were
flushed with C2H2-free air for approximately 5 min at
0.06 m3 h 1 in order to assure that residual C2H2 levels
in the jars were well below concentrations of 100 Pa
shown in previous studies to interfere with NO production rate measurements (Bollmann & Conrad, 1997).
The role of chemodenitrification reactions mediated by
nitrous acid (HNO2) in regulating NO production was
examined in samples collected in August 2000. Separate
replicate subsamples (20±30 g) from each plot were extracted for 10 min with 40 mL of 1 M KCl immediately
after measurement of NO production rate. Extracts were
centrifuged at 3000 rpm for 20 min and adjusted to pH
7.5±8.5 using dilute sodium hydroxide to minimize complexation of NO2 with soil organic matter. Extracts were
analyzed for NO2 with a Shimadzu UV-1601 spectrophotometer within 4 h of extraction (Vandenabeele et al.,
1990). Soil pH was measured on a separate portion of
the subsample used for the NO production rate and NO2
measurements. Calculated HNO2 concentrations were
determined using the acid dissociation constant
(pKa 3.3), soil pH, and NO2 N concentrations as previously described (Venterea & Rolston, 2000a).
Within each forest type, the effect of N addition was
evaluated using one-way analysis of variance (anova)
with the level of N addition as the main factor and with
subplot measurements considered as treatment replicates, consistent with previous data analysis at the HF
chronic-N study (Aber et al., 1993; Rainey et al., 1999;
Magill et al., 2000). All statistical analysis was performed
using Statgraphics (Manugistics, Rockville, MD).
Results
Field NO and N2O fluxes
Nitric oxide fluxes in the N-treated forest plots were
consistently elevated above control plots during most of
the sampling period (Fig. 1a). In the Pine site, NO fluxes
in both the low-N and high-N plots were consistently
elevated above the control plot. In contrast, NO fluxes
in the Hardwood low-N plot were not different from the
control plot, while fluxes in the high-N plot were elevated and similar in magnitude to fluxes in the Pine
high-N plot (50±200 mg N m 2 h 1). Using mean monthly
plot values over the entire sampling period, NO flux was
positively correlated (P < 0.05) with soil temperature at
the 10-mm depth (r2 0.34) and soil temperature at the
50-mm depth (r2 0.30±0.33) within each of the N-treated
Pine plots. In contrast, no significant correlation with soil
temperature was evident in the N-treated Hardwood
350 R . T . V E N T E R E A et al.
plots, or within either of the control plots. There were no
significant correlations between soil water content and
NO fluxes in either forest.
Fluxes of N2O were generally < 10 mg N m 2 h 1
(Fig. 1b). Although there were significant differences in
N2O fluxes between treatment and control plots at certain
times, particularly in the Pine forest, these differences
were not as dramatic or consistent as for NO flux. In
general, less seasonal variation in N2O fluxes was evident
as compared to the NO flux data. In plots displaying
elevated NO fluxes (Fig. 1a), the ratio of N2O to NO
flux (N2O:NO ratio) was generally < 0.10. The mean
N2O:NO ratio ranged from 0.04 in the Hardwood highN plot to 0.06 and 0.08 in the Pine low-N and high-N
plots, respectively, and was not correlated with organic
or mineral soil water content in any of the plots or overall. In the control plots, N2O fluxes were generally less
than zero. No significant correlations between N2O flux
and soil temperature or mineral soil water content were
found. Organic soil water content and N2O flux tended to
(a)
500
NO flux
Hardwoods
300
High N (+ 150 kg N ha−1)
Low N (+ 50 kg N ha−1)
Control
(a) Response to N addition
200
400
100
400
300
200
100
0
N2O flux (µg N m−2 h−1)
(b)
April June Aug.
2000
Oct. Dec. April June Aug.
2001
Oct. Dec.
N2O flux
20
10
0
−10
−20
20
10
0
−10
−20
Hardwoods
300
Pines
NO flux (µg N m−2 h−1)
0
NH4 NO3 added
200
100
0
1000
800
600
400
200
0
Hardwoods
Pines
27 May
NH4 NO3 added
29 May
30 May
Control
Low-N
High-N
31 May
1 June
(b) Response to wetting
60
April June Aug.
2000
Hardwoods
Hardwoods
40
Pines
Oct. Dec. April June Aug.
2001
Oct. Dec.
Fig. 1 Fluxes of (a) NO and (b) N2O during June 2000 through
November 2001. Values are the means of three measurements in
the control, low-N, and high-N treatment plots at approximately
monthly intervals. Symbols indicate if the low-N (#) or high-N (*)
plot values are significantly different from the control at any
time based on anova with least significant differences multiple
range test. # or *P < 0.05; ## or **P < 0.01; ### or ***P < 0.001.
NO flux (µg N m−2 h−1)
NO flux (µg N m−2 h−1)
400
be negatively correlated. The negative relationship was
significant (P < 0.05) in the Hardwood control plot
(r2 0.56) and the Pine low-N plot (r2 0.41).
Nitric oxide fluxes measured 24 h after the NH4NO3
application of 29 May 2001 were approximately five and
seven times higher than pre-application fluxes in the Pine
low-N and high-N plots, respectively (Fig. 2a). An increase of approximately 25% above pre-application levels
was observed in the Hardwood high-N forest after 24 h,
although this change was within the range of day-to-day
variation observed prior to application and 24±48 h after
application. Fluxes returned to pre-application levels at
both sites 48 h following N addition.
Soil NO fluxes measured 6 and 30 h following a
simulated 25-mm rainfall event in mid-August 2001,
and 24 h following a similar event in late-October 2001
displayed no detectable differences from pre-wetting
fluxes (Fig. 2b). Soil temperatures (Ts) within each plot
varied by 2±6 8C at the 10-mm depth, and by only 1±2 8C
at the 50-mm depth, during daylight hours on 3 July and
27 October 2001 (Fig. 3). In the July experiment, NO
fluxes within each plot were significantly (P < 0.05) and
positively correlated with Ts at both the 10-mm depth
20
0
150
Pines
Pines
100
50
0
Aug. 17
(pre-wetting)
Aug. 18
(+ 6 h)
Aug. 19
(+ 30 h)
Oct. 27
Oct. 28
(pre-wetting) (+ 24 h)
Fig. 2 Response of NO flux to (a) NH4NO3 applied on 29 May
2001 and (b) simulated rainfall events on 18 August and 27
October 2001.
ß 2003 Blackwell Publishing Ltd, Global Change Biology, 9, 346±357
N I T R O G E N O X I D E G A S E M I S S I O N S 351
20
Soil temp. (10 mm), 3 July
10
18
12
18
Soil temp. (10 mm), 27 October
Soil temp. (50 mm), 3 July
10
16
8
14
Soil temp. (50 mm), 27 October
6
12
NO flux (µg N m−2 h−1)
6
Soil temperature (8C)
8
14
NO flux, 3 July
NO flux, 27 October
100
20
15
10
50
5
0
0
−5
800 1000 1200 1400 1600 1800
3 July 2001
Fig. 3 Soil temperatures at 10 and 50mm depths and NO fluxes measured
during course of day on 3 July 2001 and
27 October 2001.
(r2 0.35±0.60) and 50-mm depth (r2 0.46±0.91) except
in the Hardwood high-N plot (r2 < 0.1, P > 0.5). In the
October experiment, only the Hardwood low-N plot displayed a positive correlation with Ts (r2 0.69±0.73,
P < 0.05), while the Pine low-N plot displayed a significant
negative correlation with Ts at the 10-mm depth (r2 0.54,
P < 0.05). In most cases, NO fluxes measured toward the
middle of the day were intermediate in magnitude between early morning and afternoon fluxes (Fig. 3).
Soil analysis
Net nitrification rates (NRs) determined in 14-day laboratory incubations of soils collected in August 2000 and
June 2001 displayed the same pattern demonstrated by
field NO fluxes over the course of the study: i.e., NRs in
the Hardwood and Pine high-N plots, and Pine low-N
plots, were elevated above control plots (Fig. 4a). Nitric
oxide production rates in organic soils displayed the
same pattern as field NO fluxes and NRs, and a similar
though not entirely consistent pattern was evident in NO
production rates in mineral soils (Fig. 4b). The application of acetylene in parallel soil incubations resulted in
near-complete inhibition of both nitrification and NO
production in mineral and organic soil (Fig. 4a, b). Soil
ß 2003 Blackwell Publishing Ltd, Global Change Biology, 9, 346±357
NO flux (µg N m−2 h−1)
Soil temperature (8C)
16
800 1000 1200 1400 1600 1800
27 October 2001
Local time
Hardwood high-N plot
Hardwood low-N plot
Pine high-N plot
Pine low-N plot
NO3 concentrations displayed the same pattern as laboratory-measured NRs, while soil NH4 concentrations
and N mineralization rates displayed no consistent pattern (Table 1).
Nitrite (NO2 ) levels could not be detected
(< 2 mg N kg 1) in any of the organic soils, but were detectable (3±11 mg N kg 1) in mineral soils collected
August 2000. Nitric oxide production rate (PNO) in Pine
mineral soils was positively correlated (r2 0.66, P < 0.001)
with NO2 concentration (r2 < 0.05 in Hardwood soils).
A kinetic model following that developed by Venterea
& Rolston (2000a, b) and represented by
PNO aHNO2 b
2
was fitted to the data by non-linear regression, where a is
the NO production rate coefficient for HNO2-mediated
NO production, and b is the empirical reaction order. The
obtained regression models were statistically significant
(P < 0.001) with reaction order values of 3.6 and 2.4 for
Hardwoods (r2 0.84) and Pines (r2 0.90), respectively
(Fig. 5). Soil pH in mineral and organic soils was lower in
the N-treated plots compared to the control plots, and
were positively correlated with the annual rate of
N deposition (Table 2).
352 R . T . V E N T E R E A et al.
(a) Nitrification
Net nitrification rate (µg N kg−1 h−1)
*
150
*
Hardwoods
- organic soil
*
Hardwoods - mineral soil
80
60
100
40
50
20
0
0
Pines - organic soil
150
* *
100
*
Pines - mineral soil
60
*
*
40
*
50
80
20
Net nitrification rate (µg N kg−1 h−1)
100
200
0
0
Aug. 2000
no C2H 2
+ C2H 2
Aug. 2000
no C2H2 + C2H2
June 2001
June 2001
(b) NO Production
30
Hardwoods
- organic soil
*
50
40
30
*
*
Hardwoods - mineral soil
20
15
3
Control
Low-N
High-N
20
10
25
2
1
0
0
*
50
40
Pines - organic soil
*
Pines - mineral soil
*
30
20
*
* *
10
50
40
30
20
10
2
1
0
0
Aug. 2000
no C2H 2
+ C2H 2
June 2001
Aug. 2000
no C2H2
+ C2H2
June 2001
Discussion
Patterns in N oxide gas emissions
Our findings extend previous results from the Harvard
Forest chronic-N addition study to include elevated NO
flux along with enhanced NO3 production and mobility
as a response to persistent N inputs (Bowden et al., 1991;
Magill et al., 2000). Soil NO fluxes were of similar magnitude to the other major N loss mechanism at HF, i.e.,
NO3 leaching below the root zone. Typical summertime
NO fluxes (100±200 mg N m 2 h 1, Fig. 1a) were equivalent to 15±45% of annual NO3 leaching rates in the highN plots and > 100% of NO3 losses in the Pine low-N
plots estimated for 1996 (Magill et al., 2000). Estimates
of NO3 losses for the period 1996±2001, which are currently being prepared for publication (A. Magill, personal
communication), will allow for contemporaneous comparisons of NO3 and NO losses.
NO production rate (µg N kg−1 h−1)
NO production rate (µg N kg−1 h−1)
60
Fig. 4 Rates of (a) net nitrification and (b)
NO production in organic and mineral
soils sampled August 2000 (incubated
without C2H2) and June 2001 (incubated
with and without C2H2). Values are the
means of three measurements in the control, low-N and high-N treatment plots.
Symbols indicate if the low-N or high-N
plot values are significantly different from
the control at any time using least significant differences multiple range test.
* P < 0.05; ** P < 0.01; *** P < 0.001. Note
breaks in vertical axis scale for mineral
soil NO production rate.
The differential response in the two forest types
observed here is consistent with trends previously observed at HF. As of 1996, significant increases in nitrification rates were observed in the Pine low-N plot and in
both the Pine and Hardwood high-N plots, while NO3
leaching was observed only in the high-N plots (Magill
et al., 2000). The current findings provide new indication
that the Pine low-N plot has advanced beyond initial
stages of N saturation, as it is now exhibiting responses
similar to both high-N plots with respect to enhanced
nitrification and NO emissions (Aber et al., 1998). The
Hardwood low-N plot continues to resist changes in
N cycling rates.
The elevated NO fluxes observed at HF are similar to
fluxes of 20±130 mg N m 2 h 1 in spruce-dominated plots
in Germany which receive > 30 kg N ha 1 yr 1 of deposition (Butterbach-Bahl et al., 1997). Emissions of NO from
beech-dominated plots in this forest were lower
(6±47 mg N m 2 h 1). Thus, the pattern of higher NO
ß 2003 Blackwell Publishing Ltd, Global Change Biology, 9, 346±357
ß 2003 Blackwell Publishing Ltd, Global Change Biology, 9, 346±357
NO production rate (P NO) (µg N kg−1 h−1)
8500 (2600) a
4800 (660) a
23400 (3100) b
1900 (3700)
1700 (390)
670 (280)
100 (38)
270 (83)
100 (17)
33 (2.2) a
58 (7.9) b
76 (9.6) b
66 (25)
43 (9.5)
69 (19)
33 (27)
6.2 (2.8)
1.2 (0.21)
34 (12)
65 (44)
140 (31)
3.4 (1.2) a
4.5 (0.20) a
14 (1.1) b
1.15 (0.50) a
27 (6.8) b
38 (6.0) b
0.91 (0.27) a
6.5 (1.5) b
15 (0.89) c
2.5 (1.4) a
64 (4.5) b
79 (7.8) b
3.6 (0.68) a
17 (2.1) b
31 (4.2) c
Pines
Control
Low-N
High-N
*Mean values for each plot are shown, n 3 (standard error of mean in parentheses). Values with same lower case letter designation are not significantly different (P > 0.05) based on
least significant differences comparisons within each forest type, soil type and sampling date. Significant differences indicated in bold type.
3900 (874)
5400 (290)
2000 (1900)
4600 (780)
3500 (880)
1960 (320)
300 (51)
290 (99)
400 (150)
30 (3.8)
54 (14)
42 (56)
94 (21)
130 (7.1)
47 (46)
110 (19)
84 (21)
47 (7.8)
0.22 (0.04) a
0.48 (0.14) a
23 (6.1) b
Hardwoods
Control
Low-N
High-N
0.24 (0.08) a
1.13 (0.59) a
68 (14) b
0.69 (0.18) a
0.88 (0.16) a
13 (1.3) b
0.11 (0.01) a
0.95 (0.29) a
26 (5.8) b
0.72 (0.09)
1.3 (0.33)
1.0 (1.4)
7.3 (1.2)
6.9 (2.4)
9.5 (3.6)
Mineral
Organic
Organic
Organic
Mineral
Organic
Mineral
Mineral
Mineral
June 2001
August 2000
June 2001
August 2000
June 2001
August 2000
Net N mineralization rate
Ammonium-N concentration
Nitrate-N concentration
1
mg N kg
1
mg N kg
Table 1 Concentrations of nitrate-N and ammonium-N and net N mineralization rates in soils from Harvard Forest chronic-N plots*
h
1
Organic
Mineral
Organic
N I T R O G E N O X I D E G A S E M I S S I O N S 353
100
P NO = a [HNO2]
b
6
Pines:
80
2
a = 7.3 ⫻ 10 ; b = 2.37; r = 0.90
9
2
Hardwoods: a = 5.7 ⫻ 10 ; b = 3.62; r = 0.84
60
40
Pines control
Pines low-N
Pines high-N
Hardwoods control
Hardwoods low-N
Hardwoods high-N
Pines regression line
Hardwoods regression line
20
0
0.000
0.002
0.004
0.006
0.008
−1
HNO2 (µg N kg )
Fig. 5 Laboratory-measured rates of NO production in mineral
soils sampled August 2000 vs. calculated nitrous acid (HNO2)
concentrations. Lines are results of non-linear regression analysis
using kinetic models in the form of Eqn 2, P < 0.001.
fluxes in the N-impacted coniferous forest as compared
to the deciduous forest in Germany is similar to the
pattern observed in the low-N plots at HF, and is consistent with the idea that deciduous forests in general
may have a greater capacity to retain N inputs than
coniferous forests with similar land-use histories (Aber
et al., 1998).
Questions remain as to the factors controlling differences in response between the two forests. Data through
1996 show that vegetation in the Hardwood plots had
assimilated only slightly more of the N added since 1988
than vegetation in the Pine plots. Based on ecosystem
N budget calculations through 1996, the major N sink is
believed to be some component of soil organic matter,
accounting for $ 70% of inputs (Magill et al., 2000).
Consideration of our first-time estimates of annual NO
emissions would reduce the proportion of inputs attributed to soil retention by modest amounts ( 3±8%, see
below). Our data do not suggest that net N mineralization
rates (MRs) are limiting nitrification rates in the
Hardwood low-N plot by substrate limitation, as there
were no consistent trends or differences in soil NH
4 or
MRs (Table 1). This is consistent with previous findings,
which have shown no response, or even a negative response, in MRs to N additions (Aber et al., 1998). Thus,
possible explanations for the delayed response in nitrification in the Hardwood forest compared to the Pine
forest include those which have been previously discussed in detail by Aber et al. (1998), i.e., higher rates of
N assimilation by heterotrophic microbes, abiotic processes, and/or mycorrhizae, all of which may compete
354 R . T . V E N T E R E A et al.
Table 2
Soil pH in mineral and organic soils from Harvard Forest chronic-N plots{
Hardwoods
Mineral soil
Organic soil
Pines
Control
Low-N
High-N
r2 {
Control
Low-N
High-N
r2 {
3.75 (0.06) a
3.12 (0.19)
3.55 (0.14) ab
2.94 (0.06)
3.21 (0.10) b
2.66 (0.10)
0.998**
0.996**
3.64 (0.17) a
2.94 (0.07) a
3.31(0.07) ab
2.63 (0.04) b
2.94 (0.04) b
2.55 (0.07) b
0.976**
0.755
{
Mean values for each plot are shown, n 3 (standard error of mean in parentheses). Values with same lower case letter designation are
not significantly different (P > 0.05) based on least significant differences comparisons within each forest type and soil type. Significant
differences indicated in bold type.
{
From linear regression of annual N deposition rate vs. soil pH in each forest. Significance level indicated: *P < 0.05, **P < 0.10; ***P < 0.01.
with nitrifying microbes for N, and/or differences in
land-use history. Elucidation of these mechanisms
remains a critical goal of ongoing research (e.g.
Berntson & Aber, 2000).
It is certainly not clear to what extent the responses
observed after 12±13 years of artificially high rates of
N addition in the high-N plots mimic the cumulative
effects which might be observed over longer periods
with deposition rates more representative of impacted
areas. However, data from the high-N plots at HF have
been valuable in suggesting that the two forest types
have finite, and differential, capacities to retain added
N. In the absence of the high-N treatments, there would
be no basis for estimating the limits of N retention in the
Hardwood forest (Aber et al., 1998). The results also support general hypotheses about the process of N saturation,
whereby N oxide emissions and NO3 leaching are proposed as ecosystem responses which are likely to be nonlinear with respect to cumulative N inputs (Aber et al.,
1998; Fenn et al., 1998), as demonstrated here.
Monthly flux measurements may not be sufficient to
very accurately estimate contributions to the overall ecosystem N mass balance because of generally high temporal variability of N oxide fluxes (e.g. Williams et al.,
1992). Nonetheless, our short-term data (Figs 2, 3) do not
indicate that variability at time-scales of days or hours
was so extreme as to completely preclude such estimation in the absence of additional data. We therefore applied a set of assumptions used in a previous study to
estimate annual N2O emissions at HF (Bowden et al.,
1991), i.e., each sampling date was treated as the midpoint of a sampling period during which gas fluxes
were assumed to equal the mean plot flux measured
on that date. The estimated total NO emissions were
similar in the Hardwood and Pine high-N plots, representing 3.0% (equivalent to 4.7 kg N ha 1 yr 1) and 3.7%
(5.9 kg N ha 1 yr 1), respectively, of total N inputs (background plus experimental) during June 2000±November
2001. The integrated NO mass flux from the Pine low-N
plot represented the greatest proportion (8.3% or
4.8 kg N ha 1 yr 1) of total N inputs. Emissions from the
Hardwood and Pine control plots were 1.3 and 2.3%,
respectively, of total inputs, while NO emitted from the
Hardwood low-N plot represented the smallest proportion of inputs (0.3% or 0.16 kg N ha 1 yr 1). These
amounts compare to NO3 leaching losses representing
approximately 2% of inputs to the low-N plots in both
forests, and 15 and 4% of inputs to the high-N plots in the
Pine and Hardwood forests, respectively, during
1988±1996 (Magill et al., 2000). Total N2O emissions
were < 5% of total NO emissions and < 0.3% of total
N inputs in all plots.
Significant positive correlations (P < 0.01) were found
between net nitrification rates and total N oxide gas
fluxes (i.e. NO N2O) measured at approximately the
same time as soil sample collection (r2 0.49 in mineral
and 0.65 in organic soil). Similarly, total N oxide gas flux
was correlated (P < 0.01) with soil NO3 concentrations in
mineral (r2 0.58) and organic soil (r2 0.52). These relationships are consistent with the hole-in-the-pipe (HIP)
model which describes N oxide gas flux primarily as a
function of N cycling rates and other indices of
N availability, with partitioning between NO and
N2O based on water-filled pore space (Davidson et al.,
2000). Soil NH4 concentrations and net N mineralization
rates were not correlated (P > 0.42) with total N oxide
flux. These findings are also consistent with the predominance of nitrification, and not N mineralization, as the
main process regulating N oxide emissions at HF.
The short-term responses to N addition observed in the
Pine stand following N application (Fig. 2a) represent
experimental artefacts of the N treatments, since actual
N deposition would occur in more dilute inputs distributed over time. These results point out potential limitations in N deposition simulation studies, some of which
have used N application methods similar to those at HF
(Kahl et al., 1993; Peterjohn et al., 1998), while others have
used more frequent, dilute applications (Klemedtsson
et al., 1997). No other studies, to our knowledge, have
examined such short-term responses in NO flux. We
ß 2003 Blackwell Publishing Ltd, Global Change Biology, 9, 346±357
N I T R O G E N O X I D E G A S E M I S S I O N S 355
hypothesize that the pulse of NO flux in the Pine plots
was due to transient increases in the production of NO2
by NH
4 -oxidizing nitrifiers accompanied by a lag in the
response of NO2 -oxidizing nitrifiers (Venterea &
Rolston, 2000c).
Sources of NO production
Simultaneous inhibition of nitrification and NO production by acetylene (Fig. 4) indicated that NO production was due to reactions accompanying the autotrophic
oxidation of NH4 to NO2 (Davidson et al., 1986;
Klemedtsson et al., 1988). Similar conclusions regarding
nitrification as the source of NO production in tropical
forest soils have been obtained using similar techniques
(Davidson, 1992a,b). The correlation between NO production and HNO2 (Fig. 5) further suggests abiotic decomposition of HNO2 (i.e. `chemodenitrification') during
nitrification as an important NO-production mechanism.
Nitrous acid-mediated reactions have been indicated as
an important mechanism of NO production in agricultural soils (Blackmer & Cerrato, 1986; Venterea &
Rolston, 2000a,b) as well as forest and grassland soils
(Davidson, 1992a, b; Yamulki et al., 1997). Since
chemodenitrification requires the protonation of nitrification-derived NO2 , these results together with the
pH data (Table 2) suggest that acidity may be an important factor in promoting N losses in forests impacted by
atmospheric deposition. Thus, management practices
such as amending soils with lime, which has been
shown to reduce emissions of N2O from forest soils
(Brumme & Beese, 1992; Klemedtsson et al., 1997), may
also be effective in reducing NO emissions. Liming of
spruce plots in Southern Germany did in fact result in
a 25±30% reduction in NO fluxes (Butterbach-Bahl et al.,
1997).
Previous studies have also considered the role of soil
organic matter (SOM) in enhancing HNO2-mediated NO
production (Stevenson et al., 1970). Venterea & Rolston
(2000a) found a positive correlation between the NO
production rate coefficient (a in Eqn [2]), and organic
C in three agricultural soils containing 0.3±1.4% organic
C. Organic C concentrations in mineral soils at HF are
5±8% (Aber et al., 1993), and the rate coefficients observed
in HF mineral soils are approximately 6±8 times greater
than the corresponding a values in these agricultural soils
(Venterea & Rolston, 2000a). Thus, the current data are
consistent with a mechanism of NO production involving
reactions between HNO2 and SOM.
There are methodological challenges in further elucidating the mechanisms of NO production in forest soils.
Nitrite levels were not detectable in the organic soils,
although organic soils generally displayed higher rates
of NO production than mineral soils (Fig. 4b). Organic
ß 2003 Blackwell Publishing Ltd, Global Change Biology, 9, 346±357
matter, in particular compounds containing phenolic
groups, can interfere with NO2 analysis in soil extracts
under acidic conditions (Vandenabeele et al., 1990). While
we attempted to minimize these interferences, it is not
known to what extent these effects influenced our
determination of NO2 levels. Thus, the importance of
chemodenitrification in the organic soils cannot be eliminated. Conversely, the relationships in Fig. 5 do not
preclude the importance of other sources of NO production coupled to nitrification, such as biological NO2 reduction (Conrad, 1995). The statistical relationship
between HNO2 concentrations and NO production in
the Hardwood mineral soils was largely influenced by a
single data point exhibiting the highest rate of NO production and HNO2 concentration (Fig. 5). Thus, the
Hardwood kinetic data are not as convincing as the
Pine data with respect to the role of HNO2 in mediating
nitrification-derived NO production. This could possibly
have been related to variation in soil organic matter
quantity or quality within mineral soil samples from the
Hardwood plots, reactions between NO2 and SOM
which may act to fix some fraction of the NO2 =HNO2
(Smith & Chalk, 1980), and/or interferences in the measurement of low NO2 levels in organic-rich soils, as discussed above.
Climatic factors
Soil temperature accounted for 30±34% of the overall
variance in monthly NO flux within each Pine N-treated
plot, but no significant correlations were observed in the
Hardwood monthly data. While some previous studies
have shown a positive correlation between NO flux and
soil temperature (e.g. Williams et al., 1992), recent experimental and modeling studies have suggested that NO
consumption, as well as production, exert significant
control over net NO emissions, and also that the sensitivity of NO consumption rates to soil temperature may
significantly impact overall temperature effects on net
NO emissions (Stark et al., 2002; Venterea & Rolston,
2002). Thus, our data may indicate a greater importance
of NO consumption in the Hardwood plots with respect
to temperature controls. Increased NO consumption with
temperature may also explain the decreases in NO flux
observed during the afternoon of 27 October 2001 when
soil temperatures at the 10-mm depth continued to increase (Fig. 3).
There were no significant correlations between soil
water content and NO fluxes. This is consistent with the
fact that soil water content may have both negative and
positive effects on NO emissions, i.e., increased water
availability may enhance nitrification (Schmidt, 1982)
while at the same time impeding gaseous diffusion and
thereby promoting NO transformation within the soil
356 R . T . V E N T E R E A et al.
matrix prior to release at the soil surface (Davidson et al.,
2000; Venterea & Rolston, 2000c). While rain-induced
pulses in NO emissions persisting for several days have
been observed in seasonally dry ecosystems, including
tropical forests and savannas, and chaparral and grasslands in Mediterranean climates (e.g. Davidson 1992a;
Otter et al., 1999), similar effects in temperate forests
have yet to be demonstrated, and were not supported
by our data (Fig. 2b). The amount of water added in the
present experiments (25 mm) was selected based on the
frequency and quantity of rainfall events occurring at HF.
During 2000±2001, nine rainfall events exceeded 25 mm
in a 24-h period, but all were < 37 mm, while one event
produced 53 mm in a 24-h period. Thus, our results suggest that rain-induced pulses of gas emissions were not
important in controlling overall NO emissions during the
study period.
Acknowledgements
The authors gratefully acknowledge Sabrina LaFave and
Jessica Kriebel for assistance with the laboratory analyses, and
Rosalie Cabral, Mark Venterea, and Michael Hannigan for assistance with various field activities. We also thank Eric A. Davidson
and two anonymous reviewers for valuable comments, which
helped to significantly improve earlier versions of the manuscript. This work was funded by EPA NCERQA (Grant R827674).
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