Evaluation of two process-based models to estimate soil N<sub>2</sub>O emissions in Eastern Canada

Smith, Ward; Grant, Brian; Desjardins, Raymond L.; Rochette, P.; Drury, C. F.; Li, C.

doi:10.4141/cjss06030

Cited by 86 publications

(49 citation statements)

References 11 publications

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“…We could expect that the increasing temperatures in future climate accelerate the decomposition of the soil organic carbon as expected by Smith et al (2008).…”

Section: Resultsmentioning

confidence: 99%

“…DNDC (Denitrification-Decomposition) model demonstrated a distinguished capacity of predicting trace gas emissions and soil organic carbon dynamics in agro-ecosystems (Li et al 1992;Li 2000). The original purpose of developing the DNDC model was to quantify the impacts of climate change and management on greenhouse gas emissions from agricultural lands in the U.S. During the past decade, DNDC has been tested by many researchers worldwide with promising results (Brown 1995;Smith et al 1997;Jagadeesh Babu et al 2006;Smith et al 2008). DNDC model is utilized first of all for evaluation of nitrous oxide in conditions of Slovakia on regional scale Šiška & Horák 2007).…”

Section: Agriculture (Poľnohospodárstvo) 57 2011 (3): 85−95mentioning

confidence: 99%

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Evaluation of Adaptive Measures to Reduce Climate Change Impact on Soil Organic Carbon Stock In Žitný Ostrov Region

Takáč¹,

Šiška²,

Píš³

2011

Agriculture (Polnohospodárstvo)

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2 Slovak University of agriculture in nitra TAKÁČ, J. -ŠIŠKA, B. -PÍŠ, V.: evaluation of adaptive measures to reduce climate change impact on soil organic carbon stock in Žitný ostrov region. Agriculture (Poľnohospodárstvo), vol. 57, 2011, no. 3, pp. 85-95. RNDr. Jozef Takáč, PhD., RNDr. Vladimír Píš, PhD., Soil Science and Conservation Research Institute, 827 13 Bratislava, Gagarinova 10, Slovak Republic. e-mail: j.takac@vupop.sk doc. RNDr. Bernard Šiška, CSc., Slovak University of Agriculture in Nitra, faculty of european Studies and Regional Development, 949 76 Nitra, Tr. A. Hlinku 2, Slovak Republic Key words: soil organic carbon, climate change, adaptive measures, crop residuals, irrigation Climate change impacts on soil organic carbon sequestration rate were simulated by agroecological model DAISY. Daily meteorological data for the Danubian Lowland up to 2100 were generated according to emission scenarios SReS A2 and B1 using general circulation model CGCM3.1. effect of gradual increase of CO 2 concentration in the atmosphere was taken into account. Various crop rotations as well as various management practices including irrigation and crop residuals incorporation were considered in three variants: i/ rainfed, residuals not incorporated, ii/ irrigated, residuals not incorporated, iii/ summer crops irrigated and residuals incorporated. Modelling outputs confirm that conventional rainfed agro-technical practices without incorporation of crop residues resulted to significant loss of soil organic carbon in soil profile towards more distanced time slices. The irrigation and the incorporation of crop residuals including stems and leaves can reduce soil organic carbon losses. If it is combined with proper crop rotation the soil organic carbon stock in soil profile can even increase. 85Agriculture (Poľnohospodárstvo), 57, 2011 (3): 85−95

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“…We could expect that the increasing temperatures in future climate accelerate the decomposition of the soil organic carbon as expected by Smith et al (2008).…”

Section: Resultsmentioning

confidence: 99%

Section: Agriculture (Poľnohospodárstvo) 57 2011 (3): 85−95mentioning

confidence: 99%

Evaluation of Adaptive Measures to Reduce Climate Change Impact on Soil Organic Carbon Stock In Žitný Ostrov Region

Takáč¹,

Šiška²,

Píš³

2011

Agriculture (Polnohospodárstvo)

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“…Higher soil N 2 O emissions have been reported from soils that received livestock manure than from those that received synthetic fertiliser. Smith et al (2008) reported 0.23 kg/ha of N 2 O emissions for a maize field that received synthetic fertiliser (150 kg/ha) and 1.21 and 3.1 kg/ha for the field that received pig slurry at the rates of 60 and 120 t/ha, respectively. Therefore, the higher GHG-intensity estimates for split and single scenarios in our study could be associated with the use of hog manure on grassland causing increased soil N 2 O emissions.…”

Section: Evaluation Of the Addition Of Hog Manurementioning

confidence: 99%

“…2, Table 5). Several local-and global-scale studies have compared DNDC and DAYCENT models and observed differences in estimated N loss (Del Grosso et al 2006Grosso et al , 2009Smith et al 2008;Abdalla et al 2010). Furthermore, on a farm-component scale, inconsistencies have been reported in field studies designed to measure the impact of timing and amount of manure application on GHG emissions.…”

Section: Evaluation Of the Addition Of Hog Manurementioning

confidence: 99%

Evaluation of greenhouse gas emissions from hog manure application in a Canadian cow–calf production system using whole-farm models

et al. 2016

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Abstract. The development of beneficial management practices is a key strategy to reduce greenhouse gas (GHG) emissions from animal agriculture. The objective of the present study was to evaluate the impact of time and amount of hog manure application on farm productivity and GHG emissions from a cow-calf production system using two whole-farm models. Detailed model inputs (climate, soil and manure properties, farm operation data) were collected from a 3-year field study that evaluated the following three treatments: no application of hog manure on grassland (baseline); a single application of hog manure on grassland in spring (single); and two applications of hog manure as fall and spring (split). All three treatments were simulated in a representative cow-calf production system at the farm-gate using the following whole-farm models: a Coupled Components Model (CCM) that used existing farm component models and the Integrated Farm System Model (IFSM). Annual GHG intensities for the baseline scenario were 17.7 kg CO 2 -eq/kg liveweight for CCM and 18.1 kg CO 2 -eq/kg liveweight for IFSM. Of the total farm GHG emissions, 73-77% were from enteric methane production. The application of hog manure on grassland showed a mean emission increase of 7.8 and 8.4 kg CO 2 -eq/kg liveweight above the baseline for the single and split scenarios, respectively. For the manured scenarios, farm GHG emissions were mainly from enteric methane (47-54%) and soil nitrous oxide (33-41%). Emission estimates from the different GHG sources in the farm varied between models for the single and split application scenarios. Although farm productivity was 3-4% higher in the split than in single application (0.14 t liveweight/ha), the environmental advantage of applying manure in a single or split application was not consistent between models for farm emission intensity. Further component and whole-farm assessments are required to fully understand the impact of timing and the amount of livestock manure application on GHG emissions from beef production systems.

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“…In a study conducted by Brilli et al (2017), a literature review of the sources of error in different modelling studies was conducted. Based on values reported by different modelling studies, one of the most common causes in uncertainty in modelled N 2 O emissions from DDC, and also from other models, was uncertainty or incorrectly simulated water filled pore space (WFPS) by the model tended to by the underlying cause of discrepancies between experimental and modelled datasets (Abdalla et al, 2010;Xing et al, 2011;Gabrielle et al, 2006 andSmith et al, 2008). The implementation of management practices by DDC is also a source of error in modelled estimates.…”

Section: Region A) Grasslandsmentioning

confidence: 99%

Modelling spatial and inter-annual variations of nitrous oxide emissions from UK cropland and grasslands using DailyDayCent

Fitton

Datta

Cloy

et al. 2017

Agriculture, Ecosystems & Environment

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A B S T R A C TAgricultural soils are the primary source of nitrous oxide emissions due to management practices including fertiliser application. While fertiliser rates are one of the main drivers of nitrous oxide emissions, emissions are also dependent on other variables such as climate and soil properties. To understand the spatial and inter-annual variations in emission rate, simulations of N 2 O emissions were made from 2000 to 2010 for UK grass and croplands. In addition, the sensitivity of these emissions to soil and climate inputs was also tested. Emissions of between 0.3 to 3.5 kg N ha −1 yr −1 and 0.7-7 kg N ha −1 yr −1 were simulated across UK croplands and grasslands, respectively. While inter-annual variations can be attributed to climate influences, the primary driver of spatial variations in emissions was soil clay content. However, when the sensitivity of nitrous oxide emissions to soil clay content alone was tested, it was not always the best predictor of emissions, when soil texture is altered outside of the normal range used as inputs to the model from different databases.

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Evaluation of two process-based models to estimate soil N₂O emissions in Eastern Canada

Cited by 86 publications

References 11 publications

Evaluation of Adaptive Measures to Reduce Climate Change Impact on Soil Organic Carbon Stock In Žitný Ostrov Region

Evaluation of Adaptive Measures to Reduce Climate Change Impact on Soil Organic Carbon Stock In Žitný Ostrov Region

Evaluation of greenhouse gas emissions from hog manure application in a Canadian cow–calf production system using whole-farm models

Modelling spatial and inter-annual variations of nitrous oxide emissions from UK cropland and grasslands using DailyDayCent

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Evaluation of two process-based models to estimate soil N2O emissions in Eastern Canada

Cited by 86 publications

References 11 publications

Evaluation of Adaptive Measures to Reduce Climate Change Impact on Soil Organic Carbon Stock In Žitný Ostrov Region

Evaluation of Adaptive Measures to Reduce Climate Change Impact on Soil Organic Carbon Stock In Žitný Ostrov Region

Evaluation of greenhouse gas emissions from hog manure application in a Canadian cow–calf production system using whole-farm models

Modelling spatial and inter-annual variations of nitrous oxide emissions from UK cropland and grasslands using DailyDayCent

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Evaluation of two process-based models to estimate soil N₂O emissions in Eastern Canada