Modelling belowground processes to explain field-scale emissions of nitrous oxide

Langeveld, C.A.; Leffelaar, P.A.

doi:10.1016/s0304-3800(01)00517-8

Cited by 13 publications

(7 citation statements)

References 36 publications

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“…Further it is estimated that a doubling of its atmospheric concentration could cause a 20% increase in the amount of ultraviolet radiation reaching the earth due to ozone layer depletion (Brown et al 2001;Del Grosso et al 2005;Langeveld and Leffelaar 2002). The requirement to limit these emissions is thus becoming increasingly urgent.…”

Section: Introductionmentioning

confidence: 99%

“…The environmental consequences of these gases in the atmosphere means it is essential to know how a growing population, food demand, and land-use change will impact on GHG emissions in the future (Hastings et al 2010), and what actions can be taken to reduce them. It has been suggested that a reduction in N 2 O emissions can be achieved if agricultural soils are correctly managed, and fertiliser application is correctly timed (Langeveld and Leffelaar 2002), but the extent of the reduction achievable is unclear. Until field measurements or environmental models can correctly indicate this, quantitative estimates of the effect of land-use change cannot be made.…”

Section: Introductionmentioning

confidence: 99%

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Simulation of soil nitrogen, nitrous oxide emissions and mitigation scenarios at 3 European cropland sites using the ECOSSE model

Bell

Jones

Smith

et al. 2011

Nutr Cycl Agroecosyst

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The global warming potential of nitrous oxide (N 2 O) and its long atmospheric lifetime mean its presence in the atmosphere is of major concern, and that methods are required to measure and reduce emissions. Large spatial and temporal variations means, however, that simple extrapolation of measured data is inappropriate, and that other methods of quantification are required. Although process-based models have been developed to simulate these emissions, they often require a large amount of input data that is not available at a regional scale, making regional and global emission estimates difficult to achieve. The spatial extent of organic soils means that quantification of emissions from these soil types is also required, but will not be achievable using a process-based model that has not been developed to simulate soil water contents above field capacity or organic soils. The ECOSSE model was developed to overcome these limitations, and with a requirement for only input data that is readily available at a regional scale, it can be used to quantify regional emissions and directly inform land-use change decisions. ECOSSE includes the major processes of nitrogen (N) turnover, with material being exchanged between pools of SOM at rates modified by temperature, soil moisture, soil pH and crop cover. Evaluation of its performance at sitescale is presented to demonstrate its ability to adequately simulate soil N contents and N 2 O emissions from cropland soils in Europe. Mitigation scenarios and sensitivity analyses are also presented to demonstrate how ECOSSE can be used to estimate the impact of future climate and land-use change on N 2 O emissions. C max A constant (set at 50 kg N ha -1 ) that adjusts the maximum rate of nitrification possible [this occurs at high levels of NH 4 ? and will be dependent on soil composition (Parton et al. 1996)] D p Potential denitrification rate (kg N ha -1 layer -1 day -1 ) k nitrif A rate constant for nitrification [set at 0.6 (Bradbury et al. (1993)] m b Biological activity rate modifier m NO 3 Modifies the amount of denitrification depending on soil NO 3 -content m pH A rate modifier due to soil pH m t A rate modifier due to soil temperature m w Soil water rate modifier for decomposition m w0 Soil water rate modifier for decomposition at permanent wilting point and saturation = 0.2 m 0 w Soil water rate modifier for denitrification N d The amount of N emitted from the soil during denitrification (kg N ha -1 layer -1 ) N d;N 2The amount of N 2 gas lost by denitrification (kg N ha -1 day -1 ) N d;N 2 O The amount of N 2 O gas lost by denitrification (kg N ha -1 day -1 ) N d50The soil nitrate content at which denitrification is 50% of its full potential (kg N ha -1 layer -1 ) N FERT N in NH 4 ? and urea in the added fertiliser (kg N ha -1 ) N n Nitrification rate (kg N ha -1 layer -1 ) N n;N 2 O The amount of N 2 O gas released during nitrification (kg N ha -1 day -1 ) N NH 4

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Simulation of soil nitrogen, nitrous oxide emissions and mitigation scenarios at 3 European cropland sites using the ECOSSE model

Bell

Jones

Smith

et al. 2011

Nutr Cycl Agroecosyst

View full text Add to dashboard Cite

show abstract

“…At the smallest scale (1-1000 Am), bacterial growth is often confined to a specific niche with a different moisture content, pH and O 2 availability than the bulk soil (Nunan et al, 2003). Langeveld and Leffelaar (2002) demonstrated that even in a sandy soil, local zones of anaerobicity are common. Similarly, 0016 Strong et al (2004) found that rates of decomposition differ among various pore classes.…”

Section: Introductionmentioning

confidence: 99%

Pore structure changes during decomposition of fresh residue: X-ray tomography analyses

et al. 2006

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“…MiCNiT calculates the potential rate of C oxidation based on the concept of the anaerobic volume fraction (anvf, Li et al 2000), thereby avoiding explicitly simulating oxygen transfer between the aqueous and gaseous phases of the soil as in ECOSYS. In contrast to previous works (e.g., Arah and Smith 1989;Arah and Vinten 1995;Langeveld and Leffelaar 2002;Schurgers et al 2006), our model does not consider gaseous diffusion in nonhomogeneous (aggregated) soil. Diffusion models require advanced knowledge about soil physical properties, i.e.…”

Section: Soil N Turnover and Simulation Of Denitrification In Micnitmentioning

confidence: 97%

Modelling of microbial carbon and nitrogen turnover in soil with special emphasis on N-trace gases emission

et al. 2011

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We present a new model unifying state-ofthe-art descriptions of microbial processes for denitrification, nitrification and decomposition of soil organic matter. The model is of medium complexity, filling a gap between simplistic model approaches with low predictive power and complex models, which are difficult to verify experimentally. The model Microbial Carbon and Nitrogen Turnover in soils (MiCNiT) is written in Ansi C++ and embedded into a modelling framework (MoBiLE) that provides initial conditions and accompanying ecosystem processes such as N uptake by plants, litterfall, soil water and soil temperature with established model approaches. The MiCNiT model explicitly calculates decomposition, dynamics of microbial biomass, denitrification, autotrophic and heterotrophic nitrification, applying the microbial activity concept, as well as transport of gases and solutes between anaerobic and aerobic soil fractions and through the soil profile. The model was tested against N 2 O and CO 2 emission as well as C and N pool data from the Höglwald Forest, Germany. Due to a detailed description of the soil biochemistry and gaseous transfers, MiCNiT is capable of simulating soil air NO, N 2 O and N 2 concentrations and the net exchange of these gases at the soil-atmosphere interface, including a possible net uptake of N 2 O by soils.

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Modelling belowground processes to explain field-scale emissions of nitrous oxide

Cited by 13 publications

References 36 publications

Simulation of soil nitrogen, nitrous oxide emissions and mitigation scenarios at 3 European cropland sites using the ECOSSE model

Simulation of soil nitrogen, nitrous oxide emissions and mitigation scenarios at 3 European cropland sites using the ECOSSE model

Pore structure changes during decomposition of fresh residue: X-ray tomography analyses

Modelling of microbial carbon and nitrogen turnover in soil with special emphasis on N-trace gases emission

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