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

  • Martin Wlotzka
  • Vincent Heuvelinea
  • Steffen Klatta
  • Edwin Haasb
  • David Krausb
  • Klaus Butterbach-Bahlb
  • Philipp Kraft
  • Lutz Breuerc
Living reference work entry

Agricultural soils are the primary anthropogenic source of atmospheric N2O. Greenhouse gas (GHG) emissions from soils are mainly the result of microbial processes such as nitrification/denitrification. These processes have a strong dependency on environmental factors like temperature, moisture, soil and vegetation properties, or the land management. Therefore, emissions occur with a high spatial and temporal variability giving rise to hot spots and hot moments. Quantifying sources and sinks of GHG like CO2, N2O, and CH4for natural, agricultural, and forest ecosystems is crucial for our understanding of impacts of land management on the biosphere-atmosphere exchange of GHG and for the development of mitigation options. GHG exchange from soils is driven by complex microbial and plant nutrient turnover processes, and it is the net result of all physicochemical and biological processes involved in production, consumption, and transport. Process-oriented biogeochemical models are useful...


Porous Medium Hydrological Model Hydraulic Head Riparian Zone Biogeochemical Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



This work was supported by the German Research Foundation (DFG) under research grants HE 4760/4-1 and BU 1173/12-1.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Martin Wlotzka
    • 1
  • Vincent Heuvelinea
    • 1
  • Steffen Klatta
    • 1
  • Edwin Haasb
    • 2
  • David Krausb
    • 2
  • Klaus Butterbach-Bahlb
    • 2
  • Philipp Kraft
    • 3
  • Lutz Breuerc
    • 3
  1. 1.University of Heidelberg, Interdisciplinary Center for Scientific ComputingEngineering Mathematics and Computing LabHeidelbergGermany
  2. 2.Karlsruhe Institute of Technology (KIT)Institute of Meteorology and Climate ResearchGarmisch-PartenkirchenGermany
  3. 3.Institute of Landscape Ecology and Resources ManagementJustus-Liebig-University of GiessenGiessenGermany

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