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Your search keyword '"Brüggemann, N."' showing total 27 results
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27 results on '"Brüggemann, N."'

1. Long-term and high-frequency non-destructive monitoring of water stable isotope profiles in an evaporating soil column

Author

Rothfuss, Y., Merz, S., Vanderborght, J., Hermes, Normen, Weuthen, A., Pohlmeier, A., Vereecken, H., and Brüggemann, N.

Subjects
lcsh:GE1-350, lcsh:G, lcsh:T, ddc:550, lcsh:Geography. Anthropology. Recreation, lcsh:Environmental technology. Sanitary engineering, lcsh:Technology, lcsh:TD1-1066, lcsh:Environmental sciences
Abstract

The stable isotope compositions of soil water (δ2H and δ18O) carry important information about the prevailing soil hydrological conditions and for constraining ecosystem water budgets. However, they are highly dynamic, especially during and after precipitation events. In this study, we present an application of a method based on gas-permeable tubing and isotope-specific infrared laser absorption spectroscopy for in situ determination of soil water δ2H and δ18O. We conducted a laboratory experiment where a sand column was initially saturated, exposed to evaporation for a period of 290 days, and finally rewatered. Soil water vapor δ2H and δ18O were measured daily at each of eight available depths. Soil liquid water δ2H and δ18O were inferred from those of the vapor considering thermodynamic equilibrium between liquid and vapor phases in the soil. The experimental setup allowed for following the evolution of soil water δ2H and δ18O profiles with a daily temporal resolution. As the soil dried, we could also show for the first time the increasing influence of the isotopically depleted ambient water vapor on the isotopically enriched liquid water close to the soil surface (i.e., atmospheric invasion). Rewatering at the end of the experiment led to instantaneous resetting of the stable isotope profiles, which could be closely followed with the new method. From simple soil δ2H and δ18O gradients calculations, we showed that the gathered data allowed one to determinate the depth of the evaporation front (EF) and how it receded into the soil over time. It was inferred that after 290 days under the prevailing experimental conditions, the EF had moved down to an approximate depth of −0.06 m. Finally, data were used to calculate the slopes of the evaporation lines and test the formulation for kinetic isotope effects. A very good agreement was found between measured and simulated values (Nash and Sutcliffe efficiency, NSE = 0.92) during the first half of the experiment, i.e., until the EF reached a depth of −0.04 m. From this point, calculated kinetic effects associated with the transport of isotopologues in the soil surface air layer above the EF provided slopes lower than observed. Finally, values of kinetic isotope effects that provided the best model-to-data fit (NSE > 0.9) were obtained from inverse modeling, highlighting uncertainties associated with the determinations of isotope kinetic fractionation and soil relative humidity at the EF.

Published
2018

2. Modeling soil processes: Review, key challenges, and new perspectives

Author

Vereecken, H., Schnepf, A., Hopmans, J.W., Javaux, M., Or, D., Roose, T., Vanderborght, J., Young, M.H., Amelung, W., Aitkenhead, M., Allison, S.D., Assouline, S., Baveye, P., Berli, M., Brüggemann, N., Finke, P., Flury, M., Gaiser, T., Govers, G., Ghezzehei, T., Hallett, P., Hendricks Franssen, H.J., Heppell, J., Horn, R., Huisman, J.A., Jacques, D., Jonard, F., Kollet, S., Lafolie, F., Lamorski, K., Leitner, D., McBratney, A., Minasny, B., Montzka, C., Nowak, W., Pachepsky, Y., Padarian, J., Romano, N., Roth, K., Rothfuss, Y., Rowe, E.C., Schwen, A., Šimůnek, J., Tiktak, A., Van Dam, J., van der Zee, S.E.A.T.M., Vogel, H.J., Vrugt, J.A., Wöhling, T., Young, I.M., Agrosphere Inst., IBG-3, Inst. of Bio-geosciences, Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association-Helmholtz-Gemeinschaft = Helmholtz Association, Centre for High-Performance Scientific Computing in Terrestrial Systems, HPSC TerrSys, Geoverbund ABC/J, Dep. of Land, Air, and Water Resources, College of Agricultural and Environmental Sciences, University of California [Davis] (UC Davis), University of California-University of California, Earth and Life Institute [Louvain-La-Neuve] (ELI), Université Catholique de Louvain = Catholic University of Louvain (UCL), Soil and Terrestrial Environmental Physics, Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Faculty of Engineering and Environment, Bioengineering Sciences Research Group, University of Southampton, Bureau of Economic Geology [Austin] (BEG), Jackson School of Geosciences (JSG), University of Texas at Austin [Austin]-University of Texas at Austin [Austin], INRES- Inst. of Crop Science and Resource Conservation, Soil Science and Soil Ecology, Rheinische Friedrich-Wilhelms-Universität Bonn, The James Hutton Institute, Ecology & Evolutionary Biology School of Biological Sciences, University of California, Dep. of Environmental Physics and Irrigation Inst. of Soils, Water and Environment Sciences A.R.O, Agricultural Research Organization - the Volcani Center, Ecologie fonctionnelle et écotoxicologie des agroécosystèmes (ECOSYS), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Div. of Hydrologic Sciences, Desert Research Institute, Dep. of Geology and Soil Science, Universiteit Gent = Ghent University [Belgium] (UGENT), Soil Physics/Vadose Zone Hydrology, Dep. of Crop and Soil Sciences, Washington State University (WSU), Inst. of Crop Science and Resource Conservation, Department of Earth and Environmental Sciences, Division of Geography, Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Life and Environmental Science School of Natural Science, University of California [Merced], Inst. of Biological and Environmental Sciences, University of Aberdeen, Institute of Plant Nutrition and Soil Science, Christian-Albrechts University of Kiel, Inst. for Environment, Health and Safety, Belgian Nuclear Research Centre, Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Inst. of Agrophysics, Polska Akademia Nauk = Polish Academy of Sciences (PAN), Computational Science Center, University of Vienna [Vienna], Dep. of Environmental Sciences, University of Sydney, Institut für Wasser- und Umweltsystemmodellierung [Universität Stuttgart] (IWS), Universität Stuttgart [Stuttgart], Environmental Microbial and Food Safety Laboratory, USDA-ARS : Agricultural Research Service, Dep. of Agronomy, AFBE Division, University of Naples Federico II, Inst. of Environmental Physics, Heidelberg University, Centre for Ecology and Hydrology [Bangor] (CEH), Natural Environment Research Council (NERC), Institute of Hydraulics and Rural Water Management (IHLW), University of Natural Ressources and Life Science, Department of Environmental Sciences [Riverside], University of California [Riverside] (UCR), Netherlands Environmental Assessment Agency, Environmental Sciences, Soil Physics and Land Management, Wageningen University and Research [Wageningen] (WUR), Netherlands and School of Chemistry, Monash University [Clayton], Dep. Soil Physics, Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ), Department of Civil and Environmental Engineering and Department of Earth System Science, University of California [Irvine] (UCI), Inst. for Biodiversity and Ecosystem dynamics, University of Amsterdam [Amsterdam] (UvA), Dep. of Hydrology, Technische Universität Dresden = Dresden University of Technology (TU Dresden), Inst. for Geoscience, Water & Earth System Science (WESS) Competence Cluster, University of Tübingen, Ruakura Research Centre, Lincoln Agritech Ltd, School of Environmental & Rural Science, University of New England (UNE), Agrosphere Institute (ICG-IV), Institute of Chemistry and Dynamics of the Geosphere (ICG), Institut fur Anorganische Chemie, Universität Karlsruhe (TH), Earth and Life Institute - Agronomy, Université Catholique de Louvain, Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology in Zürich [Zürich] (ETH Zürich), Institute for Land and Water Management, Division of Hydrologic Sciences, Desert Research Institute (DRI), Karlsruhe Institute of Technology (KIT), Laboratoire Hubert Curien [Saint Etienne] (LHC), Université Jean Monnet [Saint-Étienne] (UJM)-Centre National de la Recherche Scientifique (CNRS)-Institut d'Optique Graduate School (IOGS), Institute of Crop Science and Resource Conservation, University of Bonn-Division of Plant Nutrition, Physical and Regional Geography Research Group, Department of Geography, Université Catholique de Louvain (UCL), Research Centre Jülich, Biogéochimie et écologie des milieux continentaux (Bioemco), Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Recherche Agronomique (INRA)-École normale supérieure - Paris (ENS Paris), Research Hydrologist, Lincoln Environmental Research, University of Texas at Austin [Austin], University of Bonn, Universiteit Gent [Ghent], Institut d'Optique Graduate School (IOGS)-Université Jean Monnet [Saint-Étienne] (UJM)-Centre National de la Recherche Scientifique (CNRS), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)

Subjects
Crop and Pasture Production, DIFFUSE-REFLECTANCE SPECTROSCOPY, Environmental Engineering, [SDV]Life Sciences [q-bio], GROUND-PENETRATING RADAR, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, SATURATED-UNSATURATED FLOW, ROOT WATER-UPTAKE, ORGANIC-MATTER DYNAMICS, Physical Geography and Environmental Geoscience, GeneralLiterature_MISCELLANEOUS, ARBUSCULAR MYCORRHIZAL FUNGI, Agriculture and Soil Science, SYNTHETIC-APERTURE RADAR, Earth and Environmental Sciences, Soil Sciences, ddc:550, SEDIMENT TRANSPORT MODELS, MULTIPLE ECOSYSTEM SERVICES, DIGITAL ELEVATION MODEL
Abstract

© Soil Science Society of America 5585 Guilford Rd., Madison, WI 53711 USA. All rights reserved. The remarkable complexity of soil and its importance to a wide range of ecosystem services presents major challenges to the modeling of soil processes. Although major progress in soil models has occurred in the last decades, models of soil processes remain disjointed between disciplines or ecosystem services, with considerable uncertainty remaining in the quality of predictions and several challenges that remain yet to be addressed. First, there is a need to improve exchange of knowledge and experience among the different disciplines in soil science and to reach out to other Earth science communities. Second, the community needs to develop a new generation of soil models based on a systemic approach comprising relevant physical, chemical, and biological processes to address critical knowledge gaps in our understanding of soil processes and their interactions. Overcoming these challenges will facilitate exchanges between soil modeling and climate, plant, and social science modeling communities. It will allow us to contribute to preserve and improve our assessment of ecosystem services and advance our understanding of climate-change feedback mechanisms, among others, thereby facilitating and strengthening communication among scientific disciplines and society. We review the role of modeling soil processes in quantifying key soil processes that shape ecosystem services, with a focus on provisioning and regulating services. We then identify key challenges in modeling soil processes, including the systematic incorporation of heterogeneity and uncertainty, the integration of data and models, and strategies for effective integration of knowledge on physical, chemical, and biological soil processes. We discuss how the soil modeling community could best interface with modern modeling activities in other disciplines, such as climate, ecology, and plant research, and how to weave novel observation and measurement techniques into soil models. We propose the establishment of an international soil modeling consortium to coherently advance soil modeling activities and foster communication with other Earth science disciplines. Such a consortium should promote soil modeling platforms and data repository for model development, calibration and intercomparison essential for addressing contemporary challenges. ispartof: Vadose Zone Journal vol:15 issue:5 pages:1-57 status: published

Published
2016

3. Biogenic volatile organic compound and respiratory CO₂ emissions after ¹³C-labeling: online tracing of C translocation dynamics in poplar plants

Author

Ghirado, A., Gutknecht, J., Zimmer, I., Brüggemann, N., and Schnitzler, J.P.

Subjects
Earth sciences, fungi, ddc:550, food and beverages
Abstract

Background: Globally plants are the primary sink of atmospheric CO2, but are also the major contributor of a large spectrum of atmospheric reactive hydrocarbons such as terpenes (e.g. isoprene) and other biogenic volatile organic compounds (BVOC). The prediction of plant carbon (C) uptake and atmospheric oxidation capacity are crucial to define the trajectory and consequences of global environmental changes. To achieve this, the biosynthesis of BVOC and the dynamics of C allocation and translocation in both plants and ecosystems are important. Methodology: We combined tunable diode laser absorption spectrometry (TDLAS) and proton transfer reaction mass spectrometry (PTR-MS) for studying isoprene biosynthesis and following C fluxes within grey poplar (Populus x canescens) saplings. This was achieved by feeding either 13CO2 to leaves or 13C-glucose to shoots via xylem uptake. The translocation of 13CO2 from the source to other plant parts could be traced by 13C-labeled isoprene and respiratory 13CO2 emission. Principal Finding: In intact plants, assimilated 13CO2 was rapidly translocated via the phloem to the roots within 1 hour, with an average phloem transport velocity of 20.3±2.5 cm h21. 13C label was stored in the roots and partially reallocated to the plants’ apical part one day after labeling, particularly in the absence of photosynthesis. The daily C loss as BVOC ranged between 1.6% in mature leaves and 7.0% in young leaves. Non-isoprene BVOC accounted under light conditions for half of the BVOC C loss in young leaves and one-third in mature leaves. The C loss as isoprene originated mainly (76–78%) from recently fixed CO2, to a minor extent from xylem-transported sugars (7–11%) and from photosynthetic intermediates with slower turnover rates (8–11%). Conclusion: We quantified the plants’ C loss as respiratory CO2 and BVOC emissions, allowing in tandem with metabolic analysis to deepen our understanding of ecosystem C flux.

Published
2011

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