Simulation of Land Management Effects on Soil N2O Emissions Using a Coupled Hydrology-Biogeochemistry Model on the Landscape Scale

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

doi:10.1007/978-3-642-54551-1_86

Cited by 5 publications

(9 citation statements)

References 43 publications

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“…This approach is used in the Catchment Modelling Framework (CMF, see [72]) that has already been used in combination with LandscapeDNDC for simulations on a virtual hillslope [21] resp. virtual landscape [22]. Application of the LandscapeDNDC-CMF model coupling to our study site is ongoing work.…”

Section: Discussionmentioning

confidence: 99%

“…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%

“…Combining these cycles in both model development and analysis is still rarely achieved [17,18], while even then lateral influences of groundwater and N transport are most often neglected. 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%

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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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Section: Discussionmentioning

confidence: 99%

Section: Groundwater Swc and N 2 O Emissionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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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“…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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“…Combining ES and hydrologic models can improve them both, which would effectively accelerate the ES modeling processes that need fine resolutions. Studies have been conducted to couple different types of hydrologic and ES models for hydrologic ES [12,13]. To achieve the goal of converting hydrologic information to ES with fine resolutions, we designed a conceptual modeling framework in this paper, including a data development function, a modeling function with a hydrologic model and an ES model, and a results analysis function.…”

Section: Introductionmentioning

confidence: 99%

A Conceptual Modeling Framework for Hydrologic Ecosystem Services

Pan

Choi

2019

Hydrology

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Ecosystem services (ES) help people understand and deal with current environmental situations and problems, and ES-related research has been increasing recently. However, the quantitative evaluations of ES that can be easily understood by decision makers are still in development. Specifically, new methods are needed for hydrologic ES with the requirements of spatially and temporally explicit specification of parameters related to climate, geology, land cover, soil, and topography. This paper presents a conceptual modeling framework that aims to convert hydrologic information to hydrologic ES in fine temporal resolutions by developing a conceptual connection of three modules: data development, hydrologic and ES modeling, and results analysis. Then, the framework was applied to a study basin to demonstrate the importance of hydrologic ES in fine temporal resolutions. Results of water provision ES, flood control ES, and sediment regulation ES were produced at fine temporal resolutions in the framework, which indicates that more timely and relevant policy suggestions can be provided to decision makers. The framework and the methodology are applicable for watersheds of varied sizes and can serve as a template for future coupling of different environmental models.

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Simulation of Land Management Effects on Soil N2O Emissions Using a Coupled Hydrology-Biogeochemistry Model on the Landscape Scale

Cited by 5 publications

References 43 publications

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

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

A Conceptual Modeling Framework for Hydrologic Ecosystem Services

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Simulation of Land Management Effects on Soil N2O Emissions Using a Coupled Hydrology-Biogeochemistry Model on the Landscape Scale

Cited by 5 publications

References 43 publications

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

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

A Conceptual Modeling Framework for Hydrologic Ecosystem Services

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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