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Whole-year-round Observation of N 2 O Profiles in Soil: A Lysimeter Study

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Despite many studies of the N2O emission, there is a lack of knowledge on the role of subsoil for N2O emission, particularly in sandy soils. To obtain insight into the entrapment, diffusion, convection and ebullition of N2O in the soil, the N2O concentration in the soil atmosphere was measured over a period of 1 year in 4 lysimeters (agricultural soil monoliths of 1 m2 × 2 m) at 30, 50, 80, 155, and 190 cm depth with altogether 86 gas probes. Additionally the N2O emission into the atmosphere was measured in 20 closed chambers at the soil surface. Concurrently the soil temperature and soil water content were recorded in order to quantify their effects on the fate of N2O in the soil. Results of the continuous measurements between January and December 2006 were: N2O concentrations were highest in the deeper soil; maximum concentration was found at a depth of 80 cm, where the water content was high and the gas transport reduced. The highest N2O concentration was recorded after ‘special events’ like snowmelt, heavy rain, fertilization, and grubbing. The combination of fertilization and heavy rain led to an increase of up to 2,700 ppb in the subsoil.
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Whole-year-round Observation of N
2
O Profiles
in Soil: A Lysimeter Study
S. Reth &W. Graf &O. Gefke &R. Schilling &
H. K. Seidlitz &J. C. Munch
Received: 15 January 2007 / Accepted: 28 September 2007 / Published online: 23 November 2007
#Springer Science + Business Media B.V. 2007
Abstract Despite many studies of the N
2
O emission,
there is a lack of knowledge on the role of subsoil for
N
2
O emission, particularly in sandy soils. To obtain
insight into the entrapment, diffusion, convection and
ebullition of N
2
O in the soil, the N
2
O concentration in
the soil atmosphere was measured over a period of
1 year in 4 lysimeters (agricultural soil monoliths of
1 m2 × 2 m) at 30, 50, 80, 155, and 190 cm depth
with altogether 86 gas probes. Additionally the N
2
O
emission into the atmosphere was measured in 20
closed chambers at the soil surface. Concurrently the
soil temperature and soil water content were recorded
in order to quantify their effects on the fate of N
2
Oin
the soil. Results of the continuous measurements
between January and December 2006 were: N
2
O
concentrations were highest in the deeper soil;
maximum concentration was found at a depth of
80 cm, where the water content was high and the gas
transport reduced. The highest N
2
O concentration was
recorded after special eventslike snowmelt, heavy
rain, fertilization, and grubbing. The combination of
fertilization and heavy rain led to an increase of up to
2,700 ppb in the subsoil.
Keywords Lysimeter .N
2
O.Concentration
1 Introduction
Nitrous oxide (N
2
O) is one of the greenhouse gases
classified by the Kyoto Protocol (UNFCCC 1992)and
contributes 6% to the global warming (IPCC 2001).
Furthermore N
2
O is partly responsible for the destruc-
tion of the stratospheric ozone layer (Crutzen 1981). In
the atmosphere N
2
O has a long residence time of about
120 years, resulting in a global warming potential 310
times larger than that of CO
2
(IPCC 1996).
In this context the exchange of N
2
O between soils,
vegetation, and the atmosphere is an important topic
of ecological research. Although there are numerous
studies of N
2
O emissions (e.g. Butterbach-Bahl et al.
2002; Flessa et al. 1998), most of them concentrate on
the soilatmosphere interface (i.e. at a depth of
40 cm), investigate the controlling factors for N
2
O
emissions there (e.g. Luo et al. 1998; Simek et al.
2004; Teepe et al. 2000), and do not consider the
possible sources in subsoil.
Many parameters were found to control the
production and the emissions of N
2
O, such as the
soil moisture (Huetsch et al. 1999; Weier et al. 1993),
the soil compaction (Ruser et al. 2006), the soil
temperature (Flessa et al. 2002; Kamp et al. 1998),
Water Air Soil Pollut: Focus (2008) 8:129137
DOI 10.1007/s11267-007-9165-3
DO09165; No of Pages
S. Reth (*):W. Graf :O. Gefke :R. Schilling :
H. K. Seidlitz :J. C. Munch
Department of Environmental Engineering,
Institute of Soil Ecology, GSF National Research
Center for Environment and Health,
Ingolstädter Landstrasse 1,
85764 Neuherberg, Germany
e-mail: sascha.reth@gsf.de
and the nitrogen availability (Silgram et al. 2001;
Wrage et al. 2004). Additionally, the N
2
O production
and emission are influenced by meteorological events
such as rainfall and snowmelt (Brumme et al. 1999;
Potter and Klooster 1998), freezing and thawing
(Kamp et al. 1998; Rudaz et al. 1999; Sharma et al.
2006), and by anthropogenic activities, for instance
tillage (Ball et al. 1999), fertilization (Akiyama et al.
2000; Huetsch et al. 1999), irrigation (Ruser et al.
2006; Sanchez et al. 2001), manure additions (Stevens
and Laughlin 2001; Stevens and Laughlin 2002), and
liming (Gebauer et al. 1998).
Only few investigations determined soil gas con-
centrations and their formation in deeper soils. Van
Groenigen et al. (2005) report a N
2
O soil profile
down to 90 cm depth, and Russow et al. (2002) down
to 250 cm. Many of these investigations were
performed under standardized conditions in the
laboratory (Castle et al. 1998; Mergel et al. 2001).
Concentrations of N
2
O in soil air are extremely
variable over space and time (see e.g. reviews of
Clough et al. 2001; Heincke and Kaupenjohann
1999). This applies also for the N
2
O fluxes from the
soil to the atmosphere (Reth et al. 2005; Schürmann
et al. 2002). It is essential to characterize and to
model the processes involved in the production and
consumption, and the transport of N
2
O. A number of
simulation studies of N
2
O production and transport
through the soil profile have been published (e.g.
Chatskikh et al. 2005; Hosen et al. 2000). In a case
study (Guo et al. 2003) the denitrification potential in
the soil decreases from 30 to100 cm depth and increases
again below the 100 cm depth. Contrasting results are
discussed by Heincke and Kaupenjohann (1999), taking
into account that the total number of viable bacteria
and the number of the denitrifying bacteria decreased
exponentially with depths down to 150 cm.
Up to now only little information is available on
the distribution and the dynamics of N
2
O within the
soil and the water unsaturated zone. Our lysimeter
study contributes to fill this gap. We measured
vertical N
2
O profiles in four soil monoliths and
analyzed the influence of environmental factors and
of anthropogenic activities on the N
2
O production in
soil monoliths with a depth of 200 cm. The high
temporal resolution and the coverage of a whole
annual cycle make these data unique and demonstrate
the excellence of well-equipped lysimeters for in situ
studies of N
2
O emissions.
2 Methods
2.1 Research Field
The lysimeter station with 48 lysimeters is located just
north of Munich, Germany (48° 1324 N, 11°3548 O,
and 490 m absolute altitude). The lysimeters a close-
to-nature experimental setup are located in the
middle of a 1 ha cultivated area with defined crop
rotation (oatmustardwheat). All lysimeter vessels
are made of stainless steel cylinders (V4A) with an area
of 1 m
2
each and a height of 2 m. For an accurate
determination of the water balance the lysimeters are
positioned on 3 high precision load cells (Fig. 1) with
a resolution of 100 g. The outflow of the lysimeters is
collected in weighable seepage vessels to analyze the
dynamics and chemistry of leaching losses. In order
to analyze the heterogeneity of the water flow in the
unsaturated zone and special forms of leachate (e.g.
bypass flow), 4 lysimeters have segmented drain
plates with 8 separated outflows.
The lysimeters are equipped with tensiometers,
TDR probes, and temperature sensors at five depths
(30, 50, 80, 155 and 190 cm). Additionally, suction
cups and soil gas samplers were installed. Climate
data are continuously recorded at a meteorological
station within the lysimeter station.
2.2 Soil Monoliths
The four lysimeters used in this study were mono-
lithically excavated 1995 at Hohenwart, Germany
(48°34.88 N, 11°24.16 E). The soil is anAric Anthrosol,
soil physical parameters are given in Table 1.
2.3 Soil Emissions
Measurements were carried out from January 1st to
December 31st, 2006. From January 1st to May 30th,
2006 the measurements were performed at one
lysimeter, thereafter at four lysimeters. The measure-
ments were performed weekly in the winter months
and up to eight times a day in the summer months.
The measuring system to determine gas emissions
from the soil surface consists of cylindrical steel
chambers (height 80 mm, diameter 127 mm) with lids
attached during the measurement. The basic rings of
the chambers were inserted 20 mm into the soil. The
chambers were set between the cropping rows and
130 Water Air Soil Pollut: Focus (2008) 8:129137
weed (if present) was removed from the interiors. The
increase of the soil temperature during the collection
of the gas sample was less than 1 K. Gas samples of
the ambient air were collected at the beginning of
each measurement. Twenty minutes after closing the
chambers, the gas inside the chambers was collected
using evacuated 100 ml glass flasks. N
2
O efflux was
determined from the slope of the concentration
increase inside the chamber within 20 min. By a test
series the best closing interval was determined at
20 min. Longer intervals yield to an underestimation
of the emissions and shorter intervals increase the
uncertainty of result.
To estimate the sampling and instrumental error of
the method, 10 bottles were filled with gas of ambient
air and the N
2
O concentrations were measured. From
that, the uncertainty of the reported values is about
7 ppb, about 2% of the ambient N
2
O concentration.
2.4 Soil Gas Concentration Measurements
The probing system for collecting soil air aliquots
consists of thin steel tubes (lengths 350 mm, inner
diameter 2 mm), inserted into the soil through lids in
the lysimeters vessels at an angle of 20°. The
sampling orifice of the tube was covered with a
Gore-Tex®-membrane. To avoid a rapid gas flow
Fig. 1 Schematic diagram
of a lysimeter at the GSF
research station with com-
plete equipment: (1) sur-
rounding field, (2) closed
chamber for gas measure-
ments, (3) tensiometer, (4)
soil monolith, (5) TDR-
probe, (6) gas tube, (7) filter
layer, (8) load cells for
precision weighting, (9) tef-
lon tube, (10) support, (11)
evacuated gas vessel, (12)
data-logger, (13) Linde
Plastigas®bags, (14) out-
flow, (15) seepage tank,
(16) precision load cell of
the seepage tank, (17)
weighting display
Table 1 Soil physical parameters of the investigated soil at the
beginning of the experiment 1995 (slightly modified from
Kühn 2004)
Horizon Texture Clay % dry
weight
Silt % dry
weight
Sand % dry
weight
Ap Sl
3
13 19 68
MSl
3
92170
Bv1 Sl
2
51481
Bv2 S 1 4 95
Water Air Soil Pollut: Focus (2008) 8:129137 131
from the soil we used a small orifice of 6.28 mm2.
Altogether 86 gas probes were installed in the 4
lysimeters. To collect gas samples, evacuated gas
vessels (4 mbar) with a volume of 100 ml were
connected to the tubes. The sampling bottle was filled
within 150 h. All gas samples were analyzed using an
automated probing gas chromatographic system (GC
14A, Shimadzu, Duisburg, Germany) with a 63Ni
electron capture detector (ECD), as described by
Loftfield et al. (1997), and Ruser et al. (2001).
3 Results
The time series of the N
2
O emissions at the surface
and the N
2
O concentrations at 30, 50, 80, 155, and at
190 cm depth in the soil air of the four lysimeters are
presented in Fig. 2. The N
2
O concentrations were
highest in 50 and 80 cm depth; in the latter also the
highest concentration at all (2,900 ppb) was mea-
sured. The lowest concentrations occurred in the
uppermost horizon (30 cm) close to the atmosphere
and in the deepest horizon (190 cm). In the horizons
with the highest concentrations (50 and 80 cm) we
also observed the highest N
2
O variability (Table 2).
At all depths deviations of the N
2
O concentration to
elevated values were observed, possibly the response
to soil treatment.
During the winter months the N
2
O emissions were
very low, less than 0.1 nmol N
2
Om
2
s
1
because of
the low soil temperature. With increasing soil tem-
perature also the N
2
O emission and the N
2
O
fluctuation increased (Fig. 2). (The fairly constant
winter emissions are the reason for less frequent
measurements in the winter).
Concomitantly with the N
2
O concentration rise the
highest emissions at the surface occurred after special
events: heavy rain, grubbing, and fertilization. The
highest emissions (values up to 0.8 nmol N
2
Om
2
s
1
)
were measured after fertilization with a NPK fertilizer
(event 4 in Fig. 2) and after grubbing and seeding
(event 5). The concentration in the soil air increased up
to 900% compared to the ambient concentration during
the course of such a fertilization event with concurrent
heavy rain (>20 mm/day). The increase period lasted
about 2 weeks.
The spatial variability of both, the emissions and
the N
2
O soil air concentrations, was high. The relative
variability (standard deviation/mean concentration) of
the N
2
O emission was between 55 and 92%. The
relative variability of the soil N
2
O concentrations,
calculated separately for each depth and each lysim-
eter, was in the range from 10 to 30%. There was no
N2O (ppb)
Date
N2O (ppb)
N2O flux
(nmol s-1 m-2)N2O (ppb)N2O (ppb)
30 cm
50 cm
80 cm
155 cm
190 cm
Event 1 2 345
N2O (ppb) P (mm/d)
01.01.06 01.04.06 01.07.06 01.10.06 01.01.07
0
1000
2000
3000
0
1000
2000
3000
0
1000
2000
3000
0
1000
2000
3000
0
1000
2000
3000
0
0.5
1
0
15
30
b
c
d
e
f
g
a
Fig. 2 a Time series of the precipitation amount from January
1st to December 31st, 2006. bN
2
O emissions at the surface of
the lysimeters and the N
2
O concentrations in the soil air of the
lysimeters 1 to 4 at the indicated depths from (c) to (g). For
each depth and each lysimeter only the maximal values are
shown. In each cluster the individual concentrations are shown
by bars (the values of lysimeters 1 to 4 from left to right). The
dates of events which increased the N
2
O concentrations at least
in some depths and some lysimeters are marked [1: snow
melting, 2: grubbing and seeding of wheat, 3: fertilization with
NPK (18 kg ha
1
,24kgha
1
,18kgha
1
), 4: fertilization with
NPK (18 kg ha
1
,24kgha
1
,18kgha
1
], 5: grubbing and
seeding of mustard
132 Water Air Soil Pollut: Focus (2008) 8:129137
difference in the variability within and between the
lysimeters.
The N
2
O soil gas content within and outside the
event periods versus soil temperature are shown in
Fig. 3and versus soil water content in Fig. 4.Whereas
at the same time and equal depths the soil temperatures
in the four lysimeters were very similar, the soil water
contents differed up to 30% between the lysimeters.
The N
2
O concentrations and the soil gas emissions
showed no significant increase with increasing soil
temperature. But in some lysimeters and at some depths
the N
2
O concentration and the soil water content are
positively correlated. The small changes of the soil
water content at the individual measurement points
below the 30 cm depth might prevent a significant and
positive correlation at the other measuring points.
4 Discussion
Contrary to several other studies (e.g. Granli and
Bockman 1994; Ruser et al. 2006) we observed no
positive dependence of N
2
O emissions on the mois-
ture and temperature in the topsoil. In the subsoil, in
only one case, a weak positive correlation between
soil temperature and N
2
O concentrations was ob-
served. But we also found negative correlations. This
is in contrast to the expectations for denitrification
processes: Higher soil temperatures should enable
higher formation of N
2
O via denitrification, but could
also lead to a reduced nitrification (Reth et al. 2005).
Apparently, other parameters not considered in this
study influence the production and consumption of
N
2
O in the four lysimeters.
Soil gas samples taken at the same time and depth
but at different horizontal positions displayed a high
spatial variability of the N
2
O concentrations and
indicate high soil heterogeneity. As mentioned in
several studies for the lower soil (e.g. Griffiths 1994;
Hesselsøe et al. 2001) the variability, in the upper as
well as in the deeper soil, could be explained by the
existence of hot spotsin the soil matrix.
The variation of the water content (ϑ)atthe
individual measuring positions below the 30 cm depth
(dϑ=1.57.3% [16.7%], the value in brackets is
questionable) was small but may cause the observed
N
2
O concentration changes. So at some of the
individual measurement points a positive correlation
between the N
2
O concentrations and the soil moisture
was observed. Additionally, the variation of the water
content at the site of the N
2
O production may be
higher than indicated by the values of the TDR
probes. The TDR probes and the soil gas samplers in
the same depth are 2050 cm apart and the soil gas
therefore was not necessarily sampled from the space
where the TDR probes are installed; and the hetero-
geneity in the water content was high. This heteroge-
neity was observed during the installation of the gas
probes. The soil was water saturated at one position,
while it was dry at another position at the same depth.
Possibly the measured N
2
O concentrations and the
water contents are not related to each other, possibly
variations of the N
2
O concentrations are caused
additionally by the influence of other factors.
After events like heavy rain, snow melt, fertilization,
and soil cultivation, the N
2
O concentration increased
much more in the deeper soil than in the topsoil. This
corresponds to a typical diffusion profile. In our study
soil working and fertilization triggered the highest
formation of N
2
O. Former accelerates the aggregate
turnover and rise the nutrient availability, as described
by Grandy and Robertson (2006), and the fertilization
directly increased the nitrate in the soil water.
In this study we observed two fertilization events
(event 3 and 4), both followed by heavy rain (>20 mm/
day) and an increase of the N
2
O concentration in the
soil air. Highest response was recorded in 80 cm depth,
which mainly is caused by a transport of nitrate with
rain water. Similar effects were observed after soil
working (event 2 and 5). During 2 weeks after the
cultivation of the soil, there was no precipitation and
accordingly no nutrient transport and no additional
N
2
O production occurred. Short time after a heavy rain
event the N
2
O concentration in the 80 cm depth rose
up to 2,900 ppb by more than 900%.
This demonstrates that the availability of NO
3
enables high N
2
O production/consumption and high
Table 2 N
2
O concentration in the soil air of 4 lysimeters at
four depths: mean values and standard deviation (1σ) of the
observations in 2006
Soil depth [cm] N2O [ppb]
30 385± 100
50 430± 171
80 419± 207
155 372± 160
190 374± 81
Water Air Soil Pollut: Focus (2008) 8:129137 133
N
2
O concentrations. However, unfavourable denitri-
fication conditions may limit or prevent the N
2
O
production. This may explain that both high and low
N
2
O concentrations were measured at the same time
only a few centimetres apart.
Outside the event periods the N
2
O depth profile
had a slight maximum in 50 and 80 cm depth. This
could be explained as a diffusion profile with N
2
O
production in the 50 and 80 cm depths. This
observation is also in line with the study of Guo
et al. (2003). They explain the increase of N
2
O
concentration at deeper depths with an increasing
denitrification potential. In several studies similar
explanations are given (see the review of Clough
et al. 2001), also under the consideration of the transport
of dissolved N
2
O in the leachate of a wetting fronts.
There seems to be no link between the soil gas
formation and the emissions. This could be caused by
a time lack between the measurements of the gas
concentrations in the soil and the measurement of the
N2O (ppb)
(190cm depth)
N2O (ppb)
(155cm depth)
N2O (ppb)
(80cm depth)
N2O (ppb)
(50cm depth)
N2O (ppb)
(30cm depth)
N2O flux
(nmol s-1 m-2)
Soil temperature (°C)
Lysimeter 13 Lysimeter 14 Lysimeter 15 Lysimeter 16
0 15 30 0 15 30 0 15 30 0 15 30
0
1000
2000
0
1000
2000
0
1000
2000
0
1000
2000
0
1000
2000
0
0.5
1
r2= 0.09
r2= 0.18
r2= 0.09 r2= 0.03 r2= 0.22
r2= 0.18
r2= 0.20
Fig. 3 N
2
O emissions at
the surface of the lysime-
ters and the N
2
O concentra-
tions in the soil air of the
lysimeters at the indicated
depths versus soil tempera-
ture. Triangles represent the
fluxes and concentrations,
which are influenced by a
special event. The circles
represent all other data out-
side these periods. If the
correlation of the data out-
side the event periods is
significant on the 95% level,
the regression coefficient is
given
134 Water Air Soil Pollut: Focus (2008) 8:129137
emissions. After 7 days of an injection of
15
N
14
NO in
the 155 cm depth, the labelled N
2
O was detected at
the soil surface (data not shown). Diffusion models
could help to link between the two measurements.
5 Conclusions
The N
2
O production in the soil is highly variable in
space and time. The variability is much higher at 50
and 80 cm depth than in the upper 30 cm, where N
2
O
is coupled to the atmosphere. Special events were
identified as key factors to influence spatial and
temporal variation of the soil N
2
O production and
consumption. Future measurements with high spatial
resolution are necessary to improve our understanding
of the high heterogeneity of the N
2
O formation in the
soil matrix and to get more information on the
seasonality of the N
2
O production and consumption
in the soil. Further efforts should focus on the
E
Water content (%)
Lysimeter 13 Lysimeter 14 Lysimeter 15 Lysimeter 16
0 15 30 45 0 15 30 45 0 15 30 45 0 15 30 45
0
1000
2000
0
1000
2000
0
1000
2000
0
1000
2000
0
1000
2000
0
0.5
1
r2= 0.13 r2= 0.06
r2= 0.30 r2= 0.05 r2= 0.16
r2= 0.10 r2= 0.05 r2= 0.21
r2= 0.05 r2= 0.06 r2= 0.18
r2= 0.50
N2O (ppb)
(190cm depth)
N2O (ppb)
(155cm depth)
N2O (ppb)
(80cm depth)
N2O (ppb)
(50cm depth)
N2O (ppb)
(30cm depth)
N2O flux
(nmol s-1 m-2)
Fig. 4 N
2
O emissions at
the surface of the lysime-
ters and the N
2
O concentra-
tions in the soil air of the
lysimeters at the indicated
depths versus soil water
content. For details see
Fig. 3
Water Air Soil Pollut: Focus (2008) 8:129137 135
combination of N
2
O formation in deeper soil and the
emissions, allowing for the time lack.
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... However, the combination of these process controls and the soil physical properties in situ, are difficult to predict and require a better understanding (Ball et al., 1997). Despite the number of N 2 O studies performed in various environments around the world, there is still little understanding of how N 2 O concentrations in subsoils contribute (or not) to N 2 O emissions (Reth et al., 2008). The site chosen to perform this research has two transects that display differing topographic gradients, which would theoretically result in variable hydrology and nutrient transport, both of which are important controllers of N 2 O production. ...
... These concentrations are consistent with peaks found in other studies (Clough et al., 1999;Rolston et al., 1976). Despite discrepancies in subsurface peak concentrations among sites, none of the concentrations appeared to affect the flux at the surface; a result similar to that found in other studies (Reth et al., 2008;Hosen et al., 2000). There could be a time lag related to gas diffusion through the subsurface. ...
... There could be a time lag related to gas diffusion through the subsurface. One study used 15 N-labeled N 2 O, injected at 155cm below the surface to determine this lag time; the labeled molecule was recovered at the surface after seven days (Reth et al., 2008). ...
... Both the highest soil N 2 O concentrations and emissions were observed immediately following N fertilizer application (Figs. 2 and 4), which agreed well with the previous reports (Reth et al. 2008;Wang et al. 2014). N fertilizer application is a main trigger for N 2 O production in agriculture soils (Huang et al. 2004). ...
... The N 2 O concentration and emission patterns varied during the rice-and wheat-growing seasons (Figs. 2 and 4), which were partially associated with the anaerobic conditions prevailing in a rice paddy. However, aerobic conditions after draining the fields favor the N 2 O production in the following , and other factors between rice season and wheat season, soil microorganisms may change strongly within the different seasons (Huang et al. 2004;Reth et al. 2008;Shang et al. 2011). Water regimes affected the relative importance of the nitrification and denitrification processes as sources of N 2 O (Wrage et al. 2001;Ruser et al. 2006). ...
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Field experiments were carried out to determine biochar effects on nitrous oxide (N2O) concentration profiles, diffusion, and emissions in paddy soil under rice-wheat annual rotation in southeastern China. An in situ soil gas device was adapted to measure N2O concentrations at depths of 7, 15, 30, and 50 cm. Five treatments were installed as N0B0, N0B1, N1B0, N1B1, and N1B2 (B0, B1, and B2 designated as biochar at 0, 20, and 40 t ha(-1), respectively, while N0 and N1 as nitrogen at 0 and 250 kg N ha(-1) crop(-1), respectively). The results showed that N2O concentrations were higher in the 15 and 30 cm depths than other depths. With positive diffusive fluxes, the 7 cm in the rice season and 15 cm in the wheat season were main production sites. The surface N2O emissions and topsoil diffusive fluxes showed good agreement. N application strongly increased soil N2O profiles and surface emissions. Relative to N1B0, N1B1 decreased N2O concentration, surface emissions, and diffusive fluxes by 25.2, 31.8, and 26.5 %, respectively, while N1B2 decreased them averagely by 40.7, 43.2, and 44.2 %, correspondingly. Therefore, the gas gradient method is effective for estimating N2O emissions, and biochar can decrease N2O production when N was applied.
... In comparison to other greenhouse gases, the lifetime of N 2 O is around 120 years. Nitrous oxide has 310 times the global warming potential of a molecule of CO 2 [17]. Both nitrification and denitrification produce nitrous oxide [18,19] where microbial activities control these processes. ...
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... The fertilizer N addition substantially increased N 2 O concentrations at all soil depths down to 65 cm, depending on placement and source of fertilizer and soil aeration conditions (Fig. 2, Table 2). The increase of N 2 O concentration in the soil in response to application of N fertilizer has been frequently reported Reth et al. 2008;Wang et al. 2013), suggesting N application is the main trigger for N 2 O production. Concentration peaks were highest at the 30-and 60-cm depths, indicating that most of the N 2 O was produced at the 30-to 60-cm soil layer and diffused to the topsoil. ...
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A soil column experiment was conducted to examine the effects of fertilizer N source and depth of placement on soil profile N2O accumulation and surface emissions at 44% and 77% water-filled pore space (WFPS). The used N fertilizers were polymer-coated urea, stabilized urea with urease and nitrification inhibitors, and conventional granular urea. Conventional urea and stabilized urea were applied either uniformly at 0–65 cm or deeply at a 40- to 65-cm depth of 65 cm repacked soil columns, whereas polymer-coated urea was subsurface banded at a 10-cm depth to reflect fertilizer application practices at a field scale. Profile N2O concentrations at 5, 15, 30, and 60 cm and surface flux were monitored over 3 months. Compared to conventional urea, stabilized urea and polymer-coated urea generally reduced N2O accumulation in the column, but not cumulative emissions. Across fertilizer sources, compared with uniform addition, deep placement reduced column N2O accumulation at 44% but not at 77% WFPS. Deep placement also reduced emissions 56–71% than for uniform placement. Column N2O accumulation doubled at 77% than 44% WFPS, whereas cumulative emissions and applied N–based emission factors were lower at the former WFPS value. Cumulative N2O emissions increased exponentially with total accumulation at 44% but not 77% WFPS. Reduced N2O emissions at high WFPS were likely due to consumption and low diffusivity of the gas in the soil profile, rather than low production by denitrification. These results suggest fertilizer N leached down the profile is less prone to N2O loss while emission reductions by using more efficient fertilizers may be limited.
... Therefore, it is essential to determine the role of each of these climate factors in driving subsurface gas exchange processes. Furthermore, subsurface processes exert a significant control on C and N dynamics and hence on CO 2 , CH 4 and N 2 O emissions from soil (Valentini et al., 2000), but only a few investigations have determined CO 2 (Tang et al., 2003;Fierer et al., 2005), CH 4 (Gebert et al., 2011) and N 2 O (Reth et al., 2008;Nan et al., 2016) concentration gradients in soil profiles, and few studies have reported simultaneous measurements of all 3 gases ). Yet, very few studies have presented results with an aim to quantify the intrinsic contributions of GHG fluxes within soil to soil-surface gas exchange by using both a static chamberbased method (CM) and a concentration gradient-based method (GM) in situ, simultaneously. ...
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... The lifespan of N 2 O is approximately 120 years compared to other greenhouse gases. The global warming potential of N 2 O is 310 times greater than a molecule of carbon dioxide (CO 2 ) (Reth et al., 2008). Nitrous oxide is derived from both nitrification and denitrification (Maljanen, Martikkala, Koponen, Virkajä rvi, & Martikainen, 2007;Jauhiainen et al., 2012). ...
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Draining of peatland for agriculture could affect the release of nitrous oxide into the atmosphere. Presently, there is dearth of information on soil nitrous oxide emission from tropical peat soils cultivated with pineapples. Lysimeter and closed chamber methods were used to quantify nitrous oxide emission from root respiration, microbial respiration, and oxidative peat decomposition under controlled water table condition. Treatments evaluated were: peat soil grown with pineapple, uncultivated peat soils, and bare peat soil fumigated with chloroform. Cultivation of Moris pineapple on drained peat soils resulted in the higher release of nitrous oxide emission (15.7 t N2O ha/yr), followed by fumigated peat soil with chloroform (14.3 t N2O ha/yr), and uncultivated peat soil (10.2 t N2O ha/yr). Soil nitrous oxide emission was affected by nitrate fertilization but emission was not affected by soil temperature nor soil moisture.
... Weighing precisions of the particular scales were 100 g (A 0.1 mm water column) and 10 g (A 0.01 mm water column), respectively (Winkler et al., 2009). A more detailed description of the lysimeter facilities can be found in Reth et al. (2007). Soil characteristics of the respective lysimeters are shown in Table 1. ...
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Core Ideas The heat ratio method can determine transpiration of larger maize plants. Root and leave simulations are crucial to model transpiration and evapotranspiration. Lysimeters are very suitable for model testing. Simulations of drought periods and rewet events are challenging. In central Europe expected climate change will lead to strongly changing regional water availability and will affect future crop production systems and yields. To adapt these production systems and estimate the irrigation necessity for yield optimization—today and in the future—crop water demand as a function of its environment and development stage must be understood. Crop models are often applied to simulate water demands, but the accuracy of the simulations and the underlying mechanisms remain unclear. We therefore grew maize ( Zea mays L.) in field lysimeters in 2013 and tested the ability of six model configurations (two crop models CERES (Crop Environment Resource Synthesis) and SPASS (Soil–Plant–Atmosphere System Simulation) combined with three evapotranspiration models) to simulate measured sap flow and components of the water balance. Sap flow measurements (i.e., heat ratio method [HRM]) determined transpiration. All models simulated the measured diurnal cycles of sap flow rates. Higher simulated leaf area indices by the CERES model runs caused an overestimation of transpiration in the beginning of the measurement period. The models overestimated daily actual evapotranspiration when water input was high due to an overestimation of actual evaporation and transpiration resulting from high water contents at the top soil layers. All models simulated the occurrence of measured percolation peaks, but only partly captured their intensities. Soil water contents in the 50‐ and 80‐cm depths and the daily water content change of the whole lysimeter were well simulated by the models. Deviations between models and measurements might have been caused by the so‐called pot effect and by drought stress influencing the root distribution in the lysimeter.
... Design and construction of double-chambered weighing drainage lysimeters were provided by Payero and Irmak (2008). Suction cups and soil gas samplers can also be installed for observation of gases in soil profile of drainage lysimeter, in addition to TDR, tensiometer, and temperature sensors (Reth et al., 2008). Hanayama et al. (2009) used a copper-constantan thermocouple for measurement of water and soil temperatures. ...
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Core Ideas Soil solution sampling is essential to better understand water and solute movement in soils. A review of different types of soil solution samplers is provided in this paper, including: drainage lysimeter or soil column, pan lysimeter, resin bags or membranes, wick lysimeters, suction cup, and suction plate. Recent developments, modifications, and recommendation criteria are provided for selecting appropriate soil solution extraction samplers. A number of contaminants including agrochemicals (fertilizers, pesticides), heavy metals, trace elements, and pathogenic microbes along with pharmaceuticals and hormones used in animal production move through the soil and are responsible for degradation of groundwater quality. Therefore, it is essential to sample soil solution for better understanding of movement and environmental fate of various contaminants in soils. We review different soil solution extraction samplers. The soil solution samplers discussed here are: drainage lysimeter or soil column, pan lysimeter, resin bags or membranes, wick lysimeters, suction cup, and suction plate. We have reviewed 304 journal articles representing a wide array of scientific disciplines. A brief history of soil solution monitoring and terminology used for describing various soil solution samplers is also provided. This review classifies literature on the basis of type of soil solution extraction samplers, soil type, land use–land cover (LULC), and analytes measured. Recommendation criteria are provided for selecting appropriate soil solution extraction samplers based on spatial and temporal variation, cost, soil type, amount of disturbance caused during installation of soil solution samplers, and monitoring of leachates involving different cations, anions, carbon, pH, EC, colloids, pesticides, and microbes. Use of advanced techniques with lysimeters for monitoring soil moisture content, soil water potential and flux is also discussed in this review.
... It also allows simple and effective installation of the whole station into open field. Container consists of working shaft for operators and the installation shafts for one to four soil monoliths [6]. ...
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Modern lysimeter facilities in connection with meteorological stations allow monitoring and evaluation of mutual basic components of the environment, such as water, air, soil and vegetation. Water is the most important component of the ecosystem and the component which connects all the other components. Therefore, we need to know the basic distribution and water balance in the different components of the environment to be able to interpret some processes in nature. Rainfall, which is the primary source of vital processes in the soil, is formed in the air. The amount of precipitation that gets into the soil and into the groundwater is affected by weather conditions. Primary distribution of rainwater is divided between infiltration, surface runoff, transpiration and evapotranspiration. The amount of water infiltrated into the soil and then evaporated by solar activity or activities of plants can be identified primarily by monitoring changes in weight. For this monitoring we use weighable lysimeter. This equipment with the monolith size of surface area 1 m 2 and the depth of 1.5 m is able to follow online updates of weight of the 2 ton body with an accuracy of 100 g. When we add to quantification of leakages through the bottom layer, we obtain a comprehensive record of rainfall at the time in the natural environment of the individual components. The obtained data can be further interpreted in terms of the needs of hydrology, agriculture, and environmental studies, and according to the purpose and objectives for which we want to use them.
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N2O emissions were investigated at two sites in the Swiss Alps, Alptal (SZ ) and Piora Valley (TI ), using the closed, vented chamber method during the snow-free period and the snowpack diffusion method during snow cover. Significant spatial variations in surface N2Oeffluxes between different sampling subsites were observed in both summer and winter. While in winter N2O fluxes from a raw humus site in Alptal and from a site of neutral pH in the Piora Valley were very low (0.01–0.02 mg N2O-N m−2d−1) and similar to other published values, N2O emissions for acidic and alder-covered sites were 0.3–0.4 mg N2O-N m−2d−1and reached 1.7–1.9 mg N2O-N m−2d−1for nutrient-rich sites. This suggests that the soil temperatures close to the freezing point were not limiting microbial activity under snow. Snow-covered soils are insulated from extreme air temperatures and stay constant between −0.3 and −1.1°C. They represent an environment where micro-organisms may remain active while vegetation is dor- mant. N2O liberation is repressed at neutral and raw humus sites, as nitrification is the main source of N2O. During summer the soil microbial activity is strongly related to water availability and temperature: in contrast, in winter both factors are rather constant and the controlling factors of heterotrophic activity are unknown. Our data show that N2O is a significant compon- ent of alpine N cycling and that winter N2O fluxes should not be neglected in the calculation of the annual budget for alpine ecosystems, considering that snow covers (sub-) alpine regions for a large part of the year.
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To study the fluxes of the radiative active trace gases CHâ, COâ, and NâO, a gas sampling and analytical device was developed. It is a useful tool for accurate gas sampling in the field and enables the subsequent fully automated analysis of the gas samples in the laboratory. The computer-controlled analytical system consists of a gas chromatograph equipped with a flame ionization detector (FID), an electron capture detector (ECD), and a pressure-controlled autosampler for 64 sample containers. The system automates sample injection, the analysis of CHâ, COâ, and NâO in each sample and the subsequent evacuation of the sample containers. It is equipped with a second alternative sample inlet for manual syringe injection. This inlet is suitable for analyzing small volumes of gas samples (3 mL). The gas sampling system for use in the field consists of evacuated sample bottles (100 mL) with Teflon cocks combined with a small battery-driven field sampler with a pressure sensor. This device enables an on-site control of the vacuum integrity of the sample bottles during sampling and purging of the dead volumes between the sampler induction pipe and the sample container. 11 refs., 4 figs.
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The relationships between the fluxes of nitrous oxide (N2O) and carbon dioxide (CO2), and their concentrations in the soil air, three different measures of potential denitrification, soil moisture, soil temperature and precipitation were investigated in soils from beneath ryegrass (Lolium multiflorum Lam.), red clover (Trifolium pratense L.) and mixture of ryegrass–red clover stands on a gleic cambisol. Investigations were carried out in order to test the hypothesis that the measure(s) of potential denitrification are good predictor(s) of N2O fluxes and thus may be used in empirical models of N2O emission. Potential denitrification characteristics used in this study involved (i) short-term denitrifying enzyme activity (DEA), (ii) long-term denitrification potential (DP), both determined in soils amended with nitrate and glucose, and (iii) denitrification rate (DR) measured using intact soil cores. Flux measurements were made using cylindrical chambers (internal diameter 31 cm, volume 0.015 m3). The fluxes of N2O and CO2 and many other characteristics showed large spatial and temporal variability. Emissions of N2O from the grass plots were closely related to N2O concentrations in the soil atmosphere at 22.5 cm depth. Most soil properties did not correlate with N2O fluxes. It was concluded that DP was not a good predictor for N2O flux. DEA did not show significant relationship with N2O flux, but it is suggested that if determined in representative, large soil samples, DEA could be a predictor of N2O fluxes; this assumption needs, however, verification. The only potential denitrification characteristic which was significantly related to N2O emission both in grass and clover treatments was DR, which was determined in soil cores.
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Interannual variability in flux rates of biogenic trace gases must be quantified in order to understand the differences between short-term trends and actual long-term change in biosphere-atmosphere interactions. We simulated interannual patterns (1983-1988) of global trace gas fluxes from soils using the NASA Ames Research Center version of the Carnegie-Ames-Stanford Approach (CASA) model in a transient simulation mode. This ecosystem model has been calibrated for simulations driven by satellite vegetation index data from the National Oceanic and Atmospheric Administration's Advanced Very High Resolution Radiometer over the mid-1980s. The predicted interannual pattern of soil heterotropic CO2 emissions indicates that relatively large increases in global carbon flux from soils occurred about 3 years following the strong El Niño-Southern Oscillation event of 1983. Results for the years 1986 and 1987 showed an annual increment of +1Pg(1015g)C-CO2 emitted from soils, which tended to dampen the estimated global increase in net ecosystem production with about a 2-year lag period relative to plant carbon fixation. Zonal discrimination of model results implies that 80-90% of the yearly positive increments in soil CO2 emission during 1986-1987 were attributable to soil organic matter decomposition in the low latitudes (between 30°N and 30°S). Soils of the northern middle-latitude zone (between 30° and 60°N) accounted for the residual of these annual increments. Total annual emissions of nitrogen trace gases (N2O and NO) from soils were estimated to vary from 2 to 4% over the time period modeled, a level of variability that is consistent with predicted interannual fluctuations in global soil CO2 fluxes. Interannual variability of precipitation in tropical and subtropical zones (30°N to 20°S) appeared to drive the dynamic inverse relationship between higher annual emissions of NO versus emissions of N2O. Global mean emission rates from natural (heterotrophic) soil sources over the period modeled (1983-1988) were estimated at 57.1PgC-CO2yr-1, 9.8Tg(1012g)N-NOyr-1, and 9.7TgN-N2Oyr-1. Chemical fertilizer contributions to global soil N gas fluxes were estimated at between 1.3 to 7.3 Tg N-NO yr-1 and 1.2 to 4.0TgN-N2Oyr-1.