N2O emissions and NO3− leaching from two contrasting regions in Austria and influence of soil, crops and climate: a modelling approach

Kasper, Martina; Foldal, Cecilie; Kitzler, Barbara; Haas, Edwin; Strauß, Peter; Eder, Alexander; Zechmeister‐Boltenstern, Sophie; Amon, Barbara

doi:10.1007/s10705-018-9965-z

Cited by 37 publications

(19 citation statements)

References 31 publications

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“…Alternatively, with more or less complex physically based N transport models, it is possible to quantify N losses for various environmental conditions and management practices (e.g. Cameira et al, 2014;Molina-Herrera et al, 2016;Kasper et al, 2019). Some process-based models can be used in a Geographical Information System (GIS) to predict the temporal and spatial distribution of nitrates in groundwater.…”

Section: Introductionmentioning

confidence: 99%

Translating the agricultural N surplus hazard into groundwater pollution risk: Implications for effectiveness of mitigation measures in nitrate vulnerable zones

Cameira

Rolim

Valente

et al. 2021

Agriculture, Ecosystems & Environment

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In the Nitrate Vulnerable Zones farmers are required to implement measures to reduce the nitrogen (N) surplus. Nevertheless, in some cases the status of the water bodies show that the effect of these measures remains insufficient despite the global decrease in N surpluses. The present work aims to contribute with a method that produces an appropriate indicator for the N mitigation measures effectiveness for reducing groundwater nitrate pollution. The Global Risk Index (GRI) results from overlaying the agricultural N surplus hazard and aquifer vulnerability. It includes both irrigation activity and precipitation contribution to water recharge calculated at the municipality level. It integrates a range of regional datasets combined with monitored nitrate (NO 3 − ) concentrations in groundwater under a GIS framework. Results show that the pollution status of the Tagus Vulnerable Zone (TVZ) aquifers has been aggravating in spite of the overall reduction in the N surpluses that resulted from the implementation of the Nitrates Directive measures. Twelve years after the TVZ designation, the GRI indicates high and moderate NO 3 -pollution risk, respectively in 33 % and 66 % of the territory. Scenario analysis indicates the potential of targeted measures for ending high risk areas and reducing moderate risk areas to 13 %. This supports that N mitigation measures must be reformulated and spatially targeted according to site specific hazards and vulnerabilities.

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Section: Introductionmentioning

confidence: 99%

Translating the agricultural N surplus hazard into groundwater pollution risk: Implications for effectiveness of mitigation measures in nitrate vulnerable zones

Cameira

Rolim

Valente

et al. 2021

Agriculture, Ecosystems & Environment

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“…We furthermore compared the simulated N2O emissions in the Melk and Zaya catchments with simulated N2O emissions from the DNDC model used to simulate N2O emissions from the Marchfeld region (Figure 1) for the years 2006-2011 [36]. From all the sites simulated with DNDC in Kasper et al [36], we chose the site that had the most similar soil properties with the Melk and Zaya catchments to compare our simulated N2O emissions. This site is referred to as "MF3" in Kasper et al [36].…”

Section: Evaluating the N2o Submodulementioning

confidence: 99%

“…According to the estimation of the Environment Agency Austria carried out at the national level, in Austria in 2018, the N2O emissions from agriculture soils contributed 69% to the total national N2O emissions [32]. To our knowledge, only a few field studies [33][34][35] and modelling exercises [36] were undertaken to quantify N2O emissions from Austrian cropland at the field scale. Empirical and modelling studies on simulating N2O emissions at the catchment scale are few and therefore uncertainties in emissions from crop sites remain high.…”

Section: Introductionmentioning

confidence: 99%

N2O Emissions from Two Austrian Agricultural Catchments Simulated with an N2O Submodule Developed for the SWAT Model

et al. 2021

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Nitrous oxide (N2O) is a potent greenhouse gas stemming mainly from nitrogen (N)-fertilizer application. It is challenging to quantify N2O emissions from agroecosystems because of the dearth of measured data and high spatial variability of the emissions. The eco-hydrological model SWAT (Soil and Water Assessment Tool) simulates hydrological processes and N fluxes in a catchment. However, the routine for simulating N2O emissions is still missing in the SWAT model. A submodule was developed based on the outputs of the SWAT model to partition N2O from the simulated nitrification by applying a coefficient (K2) and also to isolate N2O from the simulated denitrification (N2O + N2) with a modified semi-empirical equation. The submodule was applied to quantify N2O emissions and N2O emission factors from selected crops in two agricultural catchments by using NH4NO3 fertilizer and the combination of organic N and NO3− fertilizer as N input data. The setup with the combination of organic N and NO3− fertilizer simulated lower N2O emissions than the setup with NH4NO3 fertilizer. When the water balance was simulated well (absolute percentage error <11%), the impact of N fertilizer application on the simulated N2O emissions was captured. More research to test the submodule with measured data is needed.

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“…Such is the case of a study carried out in two different regions of Austria, using the Landscape DNDC ecosystem model. The model allows to obtain the N 2 O emissions and NO 3 -leaching according to the region's specific soil, climatic properties, and the practices of harvest management (Kasper et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Effect of the Ground Slope and Soil Infiltration on the Water Nitrate Ion Concentrations

Ceferino¹,

Restrepo²,

Ramírez³

2021

reveia

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Soil characterization plays an essential role in the water flow and availability of nutrients. In accordance with the above, this research sought to find a relationship between the soil slope, soil particle grain size distribution, infiltration rate, and the nitrate ion movement through the soil profile and in the water table of the Quebrada La Nitrera, located in a Colombian tropical nature forest reserve. It was observed that the slope and the rate of infiltration explain the nitrate concentrations from one site to another. Additionally, in April 2018, where on average there is more precipitation for the study area, the highest groundwater nitrate ions concentration (18 mg / L) was reported according to the standard value for natural waters (10 mg / L). This suggests that hydrological events also influence the transport of these minerals.

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N2O emissions and NO3− leaching from two contrasting regions in Austria and influence of soil, crops and climate: a modelling approach

Cited by 37 publications

References 31 publications

Translating the agricultural N surplus hazard into groundwater pollution risk: Implications for effectiveness of mitigation measures in nitrate vulnerable zones

Translating the agricultural N surplus hazard into groundwater pollution risk: Implications for effectiveness of mitigation measures in nitrate vulnerable zones

N2O Emissions from Two Austrian Agricultural Catchments Simulated with an N2O Submodule Developed for the SWAT Model

Effect of the Ground Slope and Soil Infiltration on the Water Nitrate Ion Concentrations

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