Exploring impacts of vegetated buffer strips on nitrogen cycling using a spatially explicit hydro-biogeochemical modeling approach

Klatt, Steffen; Kraus, David; Kraft, Philipp; Wlotzka, Martin; Heuveline, Vincent; Haas, Edwin; Kiese, Ralf; Butterbach‐Bahl, Klaus

doi:10.1016/j.envsoft.2016.12.002

Cited by 18 publications

(13 citation statements)

References 77 publications

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“…The indirect N 2 O emissions from soils could be estimated according to the model‐simulated N leaching and volatilization in combination with the IPCC Tier 1 emission factors (De Klein et al, ). In addition, terrestrial models could be linked with hydrological models to simulate lateral N 2 O emission from the land–aquatic continuum (Klatt et al, ).…”

Section: Recommendation and Outlookmentioning

confidence: 99%

See 1 more Smart Citation

Global soil nitrous oxide emissions since the preindustrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution, and uncertainty

Tian

Yang

et al. 2018

Global Change Biology

282

187

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Our understanding and quantification of global soil nitrous oxide (N2O) emissions and the underlying processes remain largely uncertain. Here, we assessed the effects of multiple anthropogenic and natural factors, including nitrogen fertilizer (N) application, atmospheric N deposition, manure N application, land cover change, climate change, and rising atmospheric CO2 concentration, on global soil N2O emissions for the period 1861–2016 using a standard simulation protocol with seven process‐based terrestrial biosphere models. Results suggest global soil N2O emissions have increased from 6.3 ± 1.1 Tg N2O‐N/year in the preindustrial period (the 1860s) to 10.0 ± 2.0 Tg N2O‐N/year in the recent decade (2007–2016). Cropland soil emissions increased from 0.3 Tg N2O‐N/year to 3.3 Tg N2O‐N/year over the same period, accounting for 82% of the total increase. Regionally, China, South Asia, and Southeast Asia underwent rapid increases in cropland N2O emissions since the 1970s. However, US cropland N2O emissions had been relatively flat in magnitude since the 1980s, and EU cropland N2O emissions appear to have decreased by 14%. Soil N2O emissions from predominantly natural ecosystems accounted for 67% of the global soil emissions in the recent decade but showed only a relatively small increase of 0.7 ± 0.5 Tg N2O‐N/year (11%) since the 1860s. In the recent decade, N fertilizer application, N deposition, manure N application, and climate change contributed 54%, 26%, 15%, and 24%, respectively, to the total increase. Rising atmospheric CO2 concentration reduced soil N2O emissions by 10% through the enhanced plant N uptake, while land cover change played a minor role. Our estimation here does not account for indirect emissions from soils and the directed emissions from excreta of grazing livestock. To address uncertainties in estimating regional and global soil N2O emissions, this study recommends several critical strategies for improving the process‐based simulations.

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Section: Recommendation and Outlookmentioning

confidence: 99%

“…The consideration of N addition in managed grasslands is an essential task for NMIP to estimate grassland soil N 2 O emissions accurately. Other processes, such as peatland drainage (Inubushi, Furukawa, Hadi, Purnomo, & Tsuruta, 2003), wildfires occurrence (Levine et al, 1990) (Klatt et al, 2017).…”

Section: Recommen Dation and Outlookmentioning

confidence: 99%

Global soil nitrous oxide emissions since the preindustrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution, and uncertainty

Tian

Yang

et al. 2018

Global Change Biology

282

187

View full text Add to dashboard Cite

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“…Similar to our results, they faced problems with capturing events of peak N 2 O emissions even though they achieved better agreement of simulations with highly variable SWC measurements than we did. To date, only few simulation studies [20,22,23,59] addressed the issue of establishing a comprehensive connection between the cycles of water and N, and even less are able to show the effect of changing groundwater levels on N 2 O emissions while including groundwater-borne N supply. For our grassland site, it is probable that measurements (and consequently also simulations) of N 2 O emissions and SWC share only a weak connection.…”

Section: Groundwater Swc and N 2 O Emissionsmentioning

confidence: 99%

“…Exceptions are, e.g., the hydro-ecological model RHESSys [19], or the coupled hydro-biogeochemical models of the DNDC model family (Wetland-DNDC and MIKE SHE [20], CMF and LandscapeDNDC [21,22]). A substantial advancement in modelling the coupled hydro-biogeochemical interaction on the field scale has recently been reported [23].…”

Section: Introductionmentioning

confidence: 99%

Closing the N-Budget: How Simulated Groundwater-Borne Nitrate Supply Affects Plant Growth and Greenhouse Gas Emissions on Temperate Grassland

et al. 2018

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European groundwater reservoirs are frequently subject to reactive nitrogen pollution (Nr) owing to the intensive use of nitrogen (N) fertilizer and animal manure in agriculture. Besides its risk on human health, groundwater Nr loading also affects the carbon (C) and N cycle of associated ecosystems. For a temperate grassland in Germany, the long-term (12 years) annual average exports of Nr in form of harvest exceeded Nr inputs via fertilization and deposition by more than 50 kgN ha−1. We hypothesize that the resulting deficit in the N budget of the plant-soil system could be closed by Nr input via the groundwater. To test this hypothesis, the ecosystem model LandscapeDNDC was used to simulate the C and N cycle of the respective grassland under different model setups, i.e., with and without additional Nr inputs via groundwater transport. Simulated plant nitrate uptake compensated the measured N deficit for 2 of 3 plots and lead to substantial improvements regarding the match between simulated and observed plant biomass and CO2 emission. This suggests that the C and N cycle of the investigated grassland were influenced by Nr inputs via groundwater transport. We also found that inputs of nitrate-rich groundwater increased the modelled nitrous oxide (N2O) emissions, while soil water content was not affected.

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“…However, our one-dimensional model setup does not cover lateral water and nutrient transport; accordingly, the model is not able to predict the higher emissions at A3 in the spring. While such a process is part of complex integrated hydro-biogeochemical catchment models Klatt et al, 2017;Wlotzka et al, 2013), it has not yet been confirmed experimentally. The distributions of the measured emissions in the summer, autumn and winter seasons are well in accordance with the modelled emissions.…”

Section: Modelled N Fluxesmentioning

confidence: 99%

Constraining a complex biogeochemical model for CO<sub>2</sub> and N<sub>2</sub>O emission simulations from various land uses by model–data fusion

2017

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Abstract. This study presents the results of a combined measurement and modelling strategy to analyse N 2 O and CO 2 emissions from adjacent arable land, forest and grassland sites in Hesse, Germany. The measured emissions reveal seasonal patterns and management effects, including fertilizer application, tillage, harvest and grazing. The measured annual N 2 O fluxes are 4.5, 0.4 and 0.1 kg N ha −1 a −1 , and the CO 2 fluxes are 20.0, 12.2 and 3.0 t C ha −1 a −1 for the arable land, grassland and forest sites, respectively. An innovative model-data fusion concept based on a multicriteria evaluation (soil moisture at different depths, yield, CO 2 and N 2 O emissions) is used to rigorously test the LandscapeDNDC biogeochemical model. The model is run in a Latin-hypercube-based uncertainty analysis framework to constrain model parameter uncertainty and derive behavioural model runs. The results indicate that the model is generally capable of predicting trace gas emissions, as evaluated with RMSE as the objective function. The model shows a reasonable performance in simulating the ecosystem C and N balances. The model-data fusion concept helps to detect remaining model errors, such as missing (e.g. freeze-thaw cycling) or incomplete model processes (e.g. respiration rates after harvest). This concept further elucidates the identification of missing model input sources (e.g. the uptake of N through shallow groundwater on grassland during the vegetation period) and uncertainty in the measured validation data (e.g. forest N 2 O emissions in winter months). Guidance is provided to improve the model structure and field measurements to further advance landscape-scale model predictions.

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Exploring impacts of vegetated buffer strips on nitrogen cycling using a spatially explicit hydro-biogeochemical modeling approach

Cited by 18 publications

References 77 publications

Global soil nitrous oxide emissions since the preindustrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution, and uncertainty

Global soil nitrous oxide emissions since the preindustrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution, and uncertainty

Closing the N-Budget: How Simulated Groundwater-Borne Nitrate Supply Affects Plant Growth and Greenhouse Gas Emissions on Temperate Grassland

Constraining a complex biogeochemical model for CO<sub>2</sub> and N<sub>2</sub>O emission simulations from various land uses by model–data fusion

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Exploring impacts of vegetated buffer strips on nitrogen cycling using a spatially explicit hydro-biogeochemical modeling approach

Cited by 18 publications

References 77 publications

Global soil nitrous oxide emissions since the preindustrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution, and uncertainty

Global soil nitrous oxide emissions since the preindustrial era estimated by an ensemble of terrestrial biosphere models: Magnitude, attribution, and uncertainty

Closing the N-Budget: How Simulated Groundwater-Borne Nitrate Supply Affects Plant Growth and Greenhouse Gas Emissions on Temperate Grassland

Constraining a complex biogeochemical model for CO&lt;sub&gt;2&lt;/sub&gt; and N&lt;sub&gt;2&lt;/sub&gt;O emission simulations from various land uses by model–data fusion

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Constraining a complex biogeochemical model for CO<sub>2</sub> and N<sub>2</sub>O emission simulations from various land uses by model–data fusion