Measurement of soil respiration using closed chamber method: An IRGA technique

Bekku, Yukiko; Koizumi, Hiroshi; Nakadai, Toshie; Iwaki, Hideo

doi:10.1007/bf02347863

Cited by 76 publications

(39 citation statements)

References 13 publications

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“…This result was expected, as there is good reason to assume that the fluxes reported by von Arnold et al (2005a) partly underestimated the true community flux, since the flux was determined by static chambers over a rather long measuring time (15-30 min). According to Bekku et al (1995), sampling intervals longer than 20-25 min underestimate the CO 2 flux. Similar results have been reported by Pumpanen et al (2004), who found that chamber measurements during 30 min underestimated the soil CO 2 flux by about 15%, compared with 10 min of measuring time.…”

Section: Performance Of the Calibrated Model Using Mean Parameter Valuesmentioning

confidence: 98%

Bayesian calibration method used to elucidate carbon turnover in forest on drained organic soil

Klemedtsson¹,

Jansson

Gustafsson

et al. 2008

Biogeochemistry

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Depending on the balance between sink and source processes for C, drained organic forest soil ecosystems can be in balance or act as net sinks or sources of CO 2 to the atmosphere. In order to study the effect of groundwater level and soil temperature on C-flux, the CoupModel was calibrated (climate data, groundwater levels, soil CO 2 flux, net ecosystem fluxes of CO 2 -exchange, sensible heat flux and latent heat flux, forest production etc.) for a drained forest in Sweden. Bayesian calibration techniques were used to elucidate how different parameters and variables were interlinked in C-circulation. The calibrated model reproduced abiotic and biotic variables reasonably well except for root respiration, which was largely underestimated. Bayesian calibration reduced the uncertainties in the model and highlighted the fact that calibrations should be performed with a high number of parameters instead of specific parameter values.

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Section: Performance Of the Calibrated Model Using Mean Parameter Valuesmentioning

confidence: 98%

Bayesian calibration method used to elucidate carbon turnover in forest on drained organic soil

Klemedtsson¹,

Jansson

Gustafsson

et al. 2008

Biogeochemistry

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“…This indicates that CO 2 emission could be underestimated if longer sampling intervals are used, which is often the case when gas samples are collected for gas chromatography analysis. Bekku et al (1995) suggest avoiding sampling intervals longer than 20-25 minutes, while Pumpanen et al (2004) report that nonsteady state non-throughflow chambers underestimate the soil CO 2 flux by about 15% when using 30-minute sampling intervals compared with 10-minute intervals. In our very limited investigation, the underestimation was 56% (Figure 7), but this is a dynamic number dependent on emission rate.…”

Section: Co 2 Emissionsmentioning

confidence: 99%

A lysimeter study on the effect of temperature on CO2 emission from cultivated peat soils

Berglund

Klemedtsson

2010

Geoderma

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A lysimeter method was evaluated for its suitability in gas emission studies by studying the effect of temperature on CO 2 emissions (dark respiration) from cultivated peat soils. The study was carried out with organic soils from two locations in Sweden, a typical cultivated fen peat with low pH and high organic matter content (Örke) and a more uncommon fen peat with high pH and low organic matter content (Majnegården). A drilling method with minimal soil disturbance was used to collect 12 undisturbed soil lysimeters per site. CO 2 emission was measured weekly from the vegetated lysimeters and the results were compared with data from incubation experiments. The CO 2 emissions measured in the lysimeter experiment were in the same range as those in other studies and showed a similar increase with temperature as in the incubation experiment. With climatic and drainage conditions being similar in the lysimeter experiment, differences in daytime CO 2 emission rates between soils (483 mg ± 6.9 CO 2 m -2 h -1 from the Örke soil and 360 ± 7.5 mg CO 2 m -2 h -1 from the Majnegården soil) were presumably due to soil quality differences. Q 10 values of 2.1 and 3.0 were determined in the lysimeter experiment and of 1.9 to 4.5 in the incubation experiment for Örke and Majnegården respectively. CO 2 emission data fitted well to a semi-empirical equation relating CO 2 emissions to air temperature. The lysimeter method proved to be well suited for CO 2 emission studies.

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“…All gas sampling was conducted during 13:00 and 15:00 by measuring 20 places at once. A previous experiment showed that GHG fluxes from soil could be sufficiently detected within 20 min (Bekku et al 1995). Thus, gas samples were taken 1, 7, 15, and 21 min after the closure of the chamber.…”

Section: Gas and Soil Sampling And Measurement Of Environmental Factorsmentioning

confidence: 99%

“…In this method, GHG concentration is periodically sampled in a closed chamber to calculate the efflux from the rate of increase or decrease of the gas concentration. The closed-chamber method is used widely due to its convenience, even though a dynamic chamber has a smaller impact on the internal conditions due to its aeration (Bekku et al 1995).…”

Section: Introductionmentioning

confidence: 99%

Differences in the Spatial Variability Among CO2, CH4, and N2O Gas Fluxes from an Urban Forest Soil in Japan

Bellingrath-Kimura

Kishimoto-Mo

Oura

et al. 2014

AMBIO

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The spatial variability of carbon dioxide (CO 2 ), methane (CH 4 ), and nitrous oxide (N 2 O) fluxes from forest soil with high nitrogen (N) deposition was investigated at a rolling hill region in Japan. Gas fluxes were measured on July 25th and December 5th, 2008 at 100 points within a 100 9 100 m grid. Slope direction and position influenced soil characteristics and site-specific emissions were found. The CO 2 flux showed no topological difference in July, but was significantly lower in December for north-slope with coniferous trees. Spatial dependency of CH 4 fluxes was stronger than that of CO 2 or N 2 O and showed a significantly higher uptake in hill top, and emissions in the valley indicating strong influence of water status. N 2 O fluxes showed no spatial dependency and exhibited high hot spots at different topology in July and December. The high N deposition led to high N 2 O fluxes and emphasized the spatial variability.

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Measurement of soil respiration using closed chamber method: An IRGA technique

Cited by 76 publications

References 13 publications

Bayesian calibration method used to elucidate carbon turnover in forest on drained organic soil

Bayesian calibration method used to elucidate carbon turnover in forest on drained organic soil

A lysimeter study on the effect of temperature on CO2 emission from cultivated peat soils

Differences in the Spatial Variability Among CO2, CH4, and N2O Gas Fluxes from an Urban Forest Soil in Japan

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