Transient Microsite Models of Denitrification: I. Model Development

Mcconnaughey, P. K.; Bouldin, D. R.

doi:10.2136/sssaj1985.03615995004900040019x

Cited by 38 publications

(18 citation statements)

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“…Mehran and Tanji 1974;Smith 1980;Tanji 1982;McConnaughey and Bouldin 1985;Leffelaar and Wessel 1988;Arah and Smith 1989;Arah 1990;Smith 1990) focused on the various pathways of denitrification and the diffusion of gases (O 2 , N 2 O and N 2 ) and substrates (ammonium and nitrate) into soil aggregates, where soil denitrification primarily occur under anaerobic conditions. The Leffelaar and Wessel model (1988) Several recent field-scale N 2 O emission models (e.g.…”

Section: Model Descriptionsmentioning

confidence: 99%

N2O emissions from agricultural lands: a synthesis of simulation approaches

et al. 2008

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Nitrous oxide (N 2 O) is primarily produced by the microbially-mediated nitrification and denitrification processes in soils. It is influenced by a suite of climate (i.e. temperature and rainfall) and soil (physical and chemical) variables, interacting soil and plant nitrogen (N) transformations (either competing or supplying substrates) as well as land management practices. It is not surprising that N 2 O emissions are highly variable both spatially and temporally. Computer simulation models, which can integrate all of these variables, are required for the complex task of providing quantitative determinations of N 2 O emissions. Numerous simulation models have been developed to predict N 2 O production. Each model has its own philosophy in constructing simulation components as well as performance strengths. The models range from those that attempt to comprehensively simulate all soil processes to more empirical approaches requiring minimal input data. These N 2 O simulation models can be classified into three categories: laboratory, field and regional/global levels. Process-based field-scale N 2 O simulation models, which simulate whole agroecosystems and can be used to develop N 2 O mitigation measures, are the most widely used. The current challenge is how to scale up the relatively more robust field-scale model to catchment, regional and national scales. This paper reviews the development history, main construction components, strengths, limitations and applications of N 2 O emissions models, which have been published in the literature. The three scale levels are considered and the current knowledge gaps and challenges in modelling N 2 O emissions from soils are discussed.

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Section: Model Descriptionsmentioning

confidence: 99%

N2O emissions from agricultural lands: a synthesis of simulation approaches

et al. 2008

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“…Ce type d'observation est partagé par pratiquement tous les auteurs ; la variabilité est souvent bien supérieure à celle observée ici, avec des coefficients de variation qui peuvent atteindre de 100 à 500% (Folorunso et Rolston, , 1985Parkin et al, 1987 ;Myrold, 1988 ;Aulakh et al, 1992 (Parkin et (Germon et al, 1985 ;Germon et Jacques, 1990 ;Hénault, 1993 ; Groffman et Tiedje, 1989), par des équipes qui font des comparaisons de méthodes (Ryden et al, 1987 ;Aulakh et al, 1991 ;Arah et al, 1991) ou des études statistiques nécessitant un grand nombre de mesures (Pennock et al, 1992). Les Myrold, 1988 ;Groffman et Tiedje, 1989 ;Pennock et al, 1992 (Yoshinari et al, 1977 ;Smith et al, 1978 ;Ryden et al, 1979 (1983,1984) (Ryden et al, 1987 (Nieder et al, 1989 (Ryden, 1983 ;Germon et (Rolston, 1990 (Leffelaar, 1979(Leffelaar, , 1986Smith, 1980 ;McConnaughey et Bouldin, 1985 ;Myrold et Arah, 1989 ;Renault et Stengel, 1994 ;Renault et Sierra, 1994). La description du fonctionnement de cylindres de sol non remanié laisse penser que de tels modèles devraient pou...…”

Section: Les Transformations Concernéesunclassified

Quantification de la dénitrification et des émissions de protoxyde d'azote (N₂O) par les sols

Hénault

Germon

1995

Agronomie

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“…Groenendijk et al, 2005), fractals (Rappoldt and Crawford, 1999), the multi-domain approach (Köhne et al, 2009), or the mobile-immobile approach (Van Genuchten and Wierenga, 1976). All of these model concepts have been used to simulate the effect of aggregates on nitrate (NO 3 ) and O 2 , but to the best of our knowledge none of them has been applied to simulate the effect of aggregates on N 2 O. Single-aggregate models, where the model-domain is limited to one aggregate only, have been used to study the effects of aggregates on the N 2 O concentration in the interpore space (Leffelaar, 1988;McConnaughey and Bouldin, 1985), but this work has not been extended to models that describe the soil as a collection of aggregates.…”

Section: Introductionmentioning

confidence: 99%

Modelling the effect of aggregates on N<sub>2</sub>O emission from denitrification in an agricultural peat soil

et al. 2011

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Abstract. Nitrous oxide (N 2 O) emissions are highly variable in time, with high peak emissions lasting a few days to several weeks and low background emissions. This temporal variability is poorly understood which hampers the simulation of daily N 2 O emissions. In structured soils, like clay and peat, aggregates hamper the diffusion of oxygen, which leads to anaerobic microsites in the soil, favourable for denitrification. Diffusion of N 2 O out of the aggregates is also hampered, which leads to delayed emissions and increased reduction of N 2 O to N 2 . In this model simulation study we investigate the effect of aggregates in soils on the N 2 O emissions. We present a parameterization to simulate the effects of aggregates on N 2 O production by denitrification and on N 2 O reduction. The parameterization is based on the mobileimmobile model concept. It was implemented in a field-scale hydrological-biogeochemical model combination. We compared the simulated fluxes with observed fluxes from a fertilized and drained peat soil under grass.The results of this study show that aggregates strongly affect the simulated N 2 O emissions: peak emissions are lower, whereas the background emissions are slightly higher. Including the effect of aggregates caused a 40 % decrease in the simulated annual emissions relative to the simulations without accounting for the effects of aggregates. The new parameterization significantly improved the model performance regarding simulation of observed daily N 2 O fluxes; r 2 and RMSE improved from 0.11 and 198 g N 2 O-N ha −1 d −1 to 0.41 and 40 g N 2 O-N ha −1 d −1 , respectively. Our analyses of the model results show that aggregates have a larger impact on the reduction than on the production of N 2 O. Reduction of N 2 O is more sensitive to changes in the drivers Correspondence to: P. C. Stolk (petra.stolk@wur.nl) than production of N 2 O and is in that sense the key to understanding N 2 O emissions from denitrification. The effects of changing environmental conditions on reduction of N 2 O relative to N 2 O production strongly depend on the NO 3 content of the soil. More anaerobic conditions have hardly any effect on the ratio of production to reduction if NO 3 is abundant, but will decrease this ratio if NO 3 is limiting. In the first case the emissions will increase, whereas in the second case the emissions will decrease. This study suggests that the current knowledge of the hydrological, biogeochemical and physical processes may be sufficient to understand the observed N 2 O fluxes from a fertilized clayey peatland. Further research is needed to test how aggregates affect the N 2 O fluxes from other soils or soils with different fertilization regimes.

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Transient Microsite Models of Denitrification: I. Model Development

Cited by 38 publications

References 0 publications

N2O emissions from agricultural lands: a synthesis of simulation approaches

N2O emissions from agricultural lands: a synthesis of simulation approaches

Quantification de la dénitrification et des émissions de protoxyde d'azote (N₂O) par les sols

Modelling the effect of aggregates on N<sub>2</sub>O emission from denitrification in an agricultural peat soil

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Transient Microsite Models of Denitrification: I. Model Development

Cited by 38 publications

References 0 publications

N2O emissions from agricultural lands: a synthesis of simulation approaches

N2O emissions from agricultural lands: a synthesis of simulation approaches

Quantification de la dénitrification et des émissions de protoxyde d'azote (N2O) par les sols

Modelling the effect of aggregates on N&lt;sub&gt;2&lt;/sub&gt;O emission from denitrification in an agricultural peat soil

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Quantification de la dénitrification et des émissions de protoxyde d'azote (N₂O) par les sols

Modelling the effect of aggregates on N<sub>2</sub>O emission from denitrification in an agricultural peat soil