Modelling nitrous oxide emissions from mown-grass and grain-cropping systems: Testing and sensitivity analysis of DailyDayCent using high frequency measurements

Senapati, Nimai; Chabbi, Abad; Giostri, André Faé; Yeluripati, Jagadeesh; Smith, Pete

doi:10.1016/j.scitotenv.2016.07.226

Cited by 31 publications

(23 citation statements)

References 85 publications

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“…DayCent difficulties to replicate the measured variation in daily N 2 O emissions are consistent with other N 2 O modeling studies (Fang et al, 2015;Senapati et al, 2016). Soil N 2 O emissions are highly variable in time and space due to a complex interaction of biotic and abiotic processes involving multiple drivers (Davidson et al, 2000;Venterea, 2007;Castellano et al, 2010;Venterea et al, 2012;Zhu et al, 2013).…”

Section: Model Evaluationsupporting

confidence: 81%

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Potentials to mitigate greenhouse gas emissions from Swiss agriculture

Necpálová¹,

Lee²,

Skinner

et al. 2018

Agriculture, Ecosystems & Environment

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There is an urgent need to identify and evaluate management practices for their biophysical potential to maintain productivity under climate change while mitigating greenhouse gas (GHG) emissions from individual cropping systems under specific pedo-climatic conditions. Here, we examined, through DayCent modeling, the long-term impact of soil management practices and their interactions on soil GHG emissions and GHG intensity from Swiss cropping systems. Based on experimental data from four long-term experimental sites in Switzerland (Therwil, Frick, Changins, and Reckenholz), we robustly parameterized and evaluated the model for simulating crop productivity, soil C dynamics and soil N 2 O emissions across a range of management practices and pedo-climatic conditions. Net soil GHG emissions (NSGHGE) were derived from changes in soil C, N 2 O emissions and CH 4 oxidation. Soils under conventional management acted as a net source of soil GHG emissions (1361-1792 kg CO 2 eq ha-1 yr-1) and NSGHGE were dominated by N 2 O (50-63%). Reduced tillage and no-tillage reduced long-term NSGHGE by up to 31 and 58%, respectively. Organic farming, represented by organic fertilization, reduced NSGHGE by up to 31% compared to systems based solely on mineral fertilization. Replacement of slurries with a composted FYM led to an additional reduction in NSGHGE by 46%, although our approach considered only soil GHG emissions and thus did not take into account GHG emissions from the composting process. Cover cropping did not significantly influence NSGHGE, however vetch tended to reduce NSGHGE (-19%). The highest mitigation potential was associated with organic farming plus reduced tillage management, it reduced long-term NSGHGE by up to 128%. Soil C sequestration accounted, on average, for 89% of GHG mitigation potentials. Not all the management practices sustained crop yields. Nevertheless, composting of organic manures, reduced tillage and no-tillage effectively reduced NSGHGE and GHG intensity without a noticeable yield reduction. Our results suggest that implementation of the above soil 4 management practices in Swiss cropping systems have a considerable potential for climate change mitigation, although time-limited. Highlights:  DayCent was parameterized and evaluated using data from four LTEs in Switzerland  Organic farming with reduced tillage reduced net soil GHG emissions and also yield  Composting, RT and NT reduced net soil GHG emissions without a yield reduction  Soil C sequestration accounted, on average, for 89% of GHG mitigation potentials

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Section: Model Evaluationsupporting

confidence: 81%

“…DayCent's ability to simulate crop yields was comparable with other modeling studies (Grant et al, 2016;Senapati et al, 2016;Dutta et al, 2017). For P29C, a lack of plot-specific soil properties limited simulation of the measured yield variation induced by soil heterogeneity.…”

Section: Model Evaluationsupporting

confidence: 59%

Potentials to mitigate greenhouse gas emissions from Swiss agriculture

Necpálová¹,

Lee²,

Skinner

et al. 2018

Agriculture, Ecosystems & Environment

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“…Detailed information about model concepts and mechanisms is described in greater detail elsewhere (Del Grosso et al, 2008;Cheng et al, 2013;Hartmann et al, 2016). The DayCent model has been applied for different land uses, including grasslands (Parton et al, 1998), agricultural lands (Begum et al, 2017, Senapati et al, 2016, forests (Cameron et al, 2013), and savannas (Parton et al, 1993).…”

Section: Model Description and Simulationsmentioning

confidence: 99%

Modelling greenhouse gas emissions and mitigation potentials in fertilized paddy rice fields in Bangladesh

et al. 2019

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Emissions of greenhouse gases (GHG) from paddy rice are significant, so reducing these emissions has significant potential for climate change mitigation. We investigated alternate wetting and drying (AWD) as part of an integrated management approach to enhance mitigation, together with combinations of mineral nitrogen (N), reduced tillage, a suitable combination of plant residues and well decomposed manure. To quantify GHG emissions, and the potential for mitigation without yield decline, a process-based model, DayCent, was used to simulate methane (CH4) and nitrous oxide (N2O) emissions from paddy rice (Oryza sativa L.) in Bangladesh. The four test sites selected were amended with mineral N fertilizer or an organic amendment (rice straw). A good agreement (p < 0.05) was observed between model simulated and measured daily CH4 flux at most of these test sites with no significant bias. The seasonal CH4 emission from a site receiving mineral N fertilizer at a rate of 110 kg N ha-1 was predicted by the model to be 210 and 150 kg ha-1 for the water management scenarios of continuous flood (CF) and AWD, respectively. These values compare well with estimates of CH4 emissions using Intergovernmental Panel on Climate Change tier 1 methods for the different water regimes. Our model results suggest emission factors for N2O of 0.4% and 0.6% of applied fertilizer under CF and AWD water regimes, respectively. Based on modelling studies, AWD was found to be an important strategy not only with respect to reducing GHG emissions, but also in terms of cost effectiveness. We also found that integrated management is a promising option for farmers and policy makers interested in either yield increase, GHG mitigation or both. Yield scaled emissions intensity under AWD was found to be about 24% lower than under CF, followed by integrated management.

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“…Including N deposition in DDC tends to reduce the gap between modelled and measured yield, but could not explain the entire gap between modelled results and observations. DDC was originally developed for grasslands (Parton et al 1987) and croplands where there is usually an external N source, and biogeochemical models are known to simulate low input regimes less well (Senapati et al 2016). It could also be that the model does not simulate enough mineralization of organic matter to release N for use by the crops.…”

Section: Modelled Soc and Yieldmentioning

confidence: 99%

“…The current study aimed to predict SOC sequestration and yield under long term fertilization treatments at the Broadbalk continuous wheat experiment using the widely used ecosystem model DailyDayCent (DDC). DDC has recently been used to simulate nitrous oxide fluxes from wheat cropland in the UK (Fitton et al 2014) and from a corn-wheat-barley rotation in France (Senapati et al 2016). The magnitude of SOC sequestration depends on a number of factors including variables describing weather, soil properties, management and external nutrient input.…”

Section: Introductionmentioning

confidence: 99%

Simulating soil carbon sequestration from long term fertilizer and manure additions under continuous wheat using the DailyDayCent model

Begum

Yeluripati

Glendining

et al. 2017

Nutr Cycl Agroecosyst

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The widely used ecosystem model DailyDayCent (DDC) was used to predict soil organic carbon (SOC) sequestration and yield under different fertilization treatments on a wheat (Triticum aestivum) monoculture on Broadbalk field, Rothamsted, UK. Over a period of about 170 years, the management practices on the test site, which is separated into plots with different treatments of fertilizer and manure application, are well documented. Four treatments consisting of control (no fertilizer), mineral nitrogen (N) fertilizer (MN), farm yard manure (FYM) and a combination of both (FYMN) have been selected for the study. DDC simulated the greatest increases in SOC (three times higher compared to simulation of the control plot) in the FYM plot. Overall a good agreement between modelled and measured yield was obtained (except in control plots). As observed in the experimental plots, the highest yield predicted by the model is with FYMN plot (more than three times higher relative to the control plot). A sensitivity test for the MN and FYM plots demonstrated that predicted SOC was relatively insensitive (1%) to bulk density, pH and field capacity. Higher sensitivity (4-7%) of predicted SOC changes were observed by changes in external C input. An increase of temperature by 1°C or precipitation by 10% decreased predicted SOC by 2-4% and vice versa, and simulated a 1-4% variability in yield. DDC is a useful tool for simulating SOC in the long term plots, with a good fit to data, and is useful for examining alternate hypotheses of yield and SOC responses.

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Modelling nitrous oxide emissions from mown-grass and grain-cropping systems: Testing and sensitivity analysis of DailyDayCent using high frequency measurements

Cited by 31 publications

References 85 publications

Potentials to mitigate greenhouse gas emissions from Swiss agriculture

Potentials to mitigate greenhouse gas emissions from Swiss agriculture

Modelling greenhouse gas emissions and mitigation potentials in fertilized paddy rice fields in Bangladesh

Simulating soil carbon sequestration from long term fertilizer and manure additions under continuous wheat using the DailyDayCent model

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