Using the APSIM model to estimate nitrous oxide emissions from diverse Australian sugarcane production systems

Thorburn, Peter J.; Biggs, J. S.; Collins, Kerry; Probert, M. E.

doi:10.1016/j.agee.2009.12.014

Cited by 151 publications

(112 citation statements)

References 28 publications

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“…During denitrification, N 2 and N 2 O are produced with an N 2 : N 2 O ratio depending on gas diffusivity of the soil at field capacity, the quotient of NO 3 -concentration to heterotrophic carbon dioxide (CO 2 ) respiration and WFPS, following the approach of Del Grosso et al (2000). Detailed description of the soil N processes can be found in Probert et al (1998) and Thorburn et al (2010).…”

Section: Model Descriptionmentioning

confidence: 99%

Nitrous oxide emissions from grain production systems across a wide range of environmental conditions in eastern Australia

et al. 2016

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Abstract. Nitrous oxide (N 2 O) emissions from Australian grain cropping systems are highly variable due to the large variations in soil and climate conditions and management practices under which crops are grown. Agricultural soils contribute 55% of national N 2 O emissions, and therefore mitigation of these emissions is important. In the present study, we explored N 2 O emissions, yield and emissions intensity in a range of management practices in grain crops across eastern Australia with the Agricultural Production Systems sIMulator (APSIM). The model was initially evaluated against experiments conducted at six field sites across major grain-growing regions in eastern Australia. Measured yields for all crops used in the experiments (wheat, barley, sorghum, maize, cotton, canola and chickpea) and seasonal N 2 O emissions were satisfactorily predicted with R 2 = 0.93 and R 2 = 0.91 respectively. As expected, N 2 O emissions and emissions intensity increased with increasing nitrogen (N) fertiliser input, whereas crop yields increased until a yield plateau was reached at a site-and crop-specific N rate. The mitigation potential of splitting N fertiliser application depended on the climate conditions and was found to be relevant only in the southern grain-growing region, where most rainfall occurs during the cropping season. Growing grain legumes in rotation with cereal crops has great potential to reduce mineral N fertiliser requirements and so N 2 O emissions. In general, N management strategies that maximise yields and increase N use efficiency showed the greatest promise for N 2 O mitigation.

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Section: Model Descriptionmentioning

confidence: 99%

Nitrous oxide emissions from grain production systems across a wide range of environmental conditions in eastern Australia

et al. 2016

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“…Most agro-ecological models (e.g. DayCent, APSIM, DNDC, WNMM, NOE) explicitly deal with each of these processes with varying degrees of process understanding and empiricism (Li et al 1992;Parton et al 1998;Hénault et al 2005;Li et al 2007; Thorburn et al 2010). By necessity, these processes are often simplistically modelled using potential process rates that then are modified by drivers such as substrate availability, water content, pH and temperature ( Fig.…”

Section: Introductionmentioning

confidence: 99%

Nitrification rates and associated nitrous oxide emissions from agricultural soils – a synopsis

Farquharson¹

2016

Soil Res.

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Abstract. Laboratory incubations were performed to estimate nitrification rates and the associated nitrous oxide (N 2 O) emissions under aerobic conditions on a range of soils from National Agricultural Nitrous Oxide Research Program field sites. Significant site-to-site variability in nitrification rates and associated N 2 O emissions was observed under standardised conditions, indicating the need for site-specific model parameterisation. Generally, nitrification rates and N 2 O emissions increased with higher water content, ammonium concentration and temperature, although there were exceptions. It is recommended that site-specific model parameterisation be informed by such data. Importantly, the ratio of N 2 O emitted to net nitrified N under aerobic conditions was small (<0.2% for the majority of measurements) but did vary from 0.03% to 1%. Some models now include variation in the proportion of nitrified N emitted as N 2 O as a function of water content; however, strong support for this was not found across all of our experiments, and the results demonstrate a potential role of pH and ammonium availability. Further research into fluctuating oxygen availability and the coupling of biotic and abiotic processes will be required to progress the process understanding of N 2 O emissions from nitrification.

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“…A quantitative understanding of nitrogen (N) pools and fluxes can underpin improved N fertiliser management in plantation forestry (Smethurst and Nambiar, 1990;Smethurst et al, 2004;Corbeels et al, 2005;Laclau et al, 2010) and agriculture (Keating et al, 2003;Manzoni and Porporato, 2009;Sansoulet et al, 2014;Thorburn et al, 2010). Net N mineralization (NNM), a key component of the N cycle, can be measured reliably using an unsophisticated in situ core technique (Raison et al, 1987).…”

Section: Introductionmentioning

confidence: 99%

Appraisal of the Snap Model for Predicting Nitrogen Mineralization in Tropical Soils Under Eucalyptus

Smethurst

Gonçalves

Pulito

et al. 2015

Rev. Bras. Ciênc. Solo

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the soil Nitrogen Availability predictor (sNAp) model predicts daily and annual rates of net N mineralization (NNm) based on daily weather measurements, daily predictions of soil water and soil temperature, and on temperature and moisture modifiers obtained during aerobic incubation (basal rate). the model was based on in situ measurements of NNm in Australian soils under temperate climate. the purpose of this study was to assess this model for use in tropical soils under eucalyptus plantations in São Paulo State, Brazil. Based on field incubations for one month in three, NNm rates were measured at 11 sites (0-20 cm layer) for 21 months. the basal rate was determined in in situ incubations during moist and warm periods (January to march). Annual rates of 150-350 kg ha -1 yr -1 NNm predicted by the sNAp model were reasonably accurate (r 2 = 0.84). in other periods, at lower moisture and temperature, NNm rates were overestimated. therefore, if used carefully, the model can provide adequate predictions of annual NNm and may be useful in practical applications. for NNm predictions for shorter periods than a year or under suboptimal incubation conditions, the temperature and moisture modifiers need to be recalibrated for tropical conditions.

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Using the APSIM model to estimate nitrous oxide emissions from diverse Australian sugarcane production systems

Cited by 151 publications

References 28 publications

Nitrous oxide emissions from grain production systems across a wide range of environmental conditions in eastern Australia

Nitrous oxide emissions from grain production systems across a wide range of environmental conditions in eastern Australia

Nitrification rates and associated nitrous oxide emissions from agricultural soils – a synopsis

Appraisal of the Snap Model for Predicting Nitrogen Mineralization in Tropical Soils Under Eucalyptus

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