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@ARTICLE{Wu:868419,
      author       = {Wu, Di and Well, Reinhard and Cárdenas, Laura M. and Fuß,
                      Roland and Lewicka-Szczebak, Dominika and Köster, Jan Reent
                      and Brüggemann, Nicolas and Bol, Roland},
      title        = {{Q}uantifying {N}2{O} reduction to {N}2 during
                      denitrification in soils via isotopic mapping approach:
                      {M}odel evaluation and uncertainty analysis},
      journal      = {Environmental research},
      volume       = {179},
      number       = {Part A},
      issn         = {0013-9351},
      address      = {San Diego, Calif.},
      publisher    = {Elsevier},
      reportid     = {FZJ-2020-00022},
      pages        = {108806 -},
      year         = {2019},
      abstract     = {The last step of denitrification, i.e. the reduction of N2O
                      to N2, has been intensively studied in the laboratory to
                      understand the denitrification process, predict nitrogen
                      fertiliser losses, and to establish mitigation strategies
                      for N2O. However, assessing N2 production via
                      denitrification at large spatial scales is still not
                      possible due to lack of reliable quantitative approaches.
                      Here, we present a novel numerical “mapping approach”
                      model using the δ15Nsp/δ18O slope that has been proposed
                      to potentially be used to indirectly quantify N2O reduction
                      to N2 at field or larger spatial scales. We evaluate the
                      model using data obtained from seven independent soil
                      incubation studies conducted under a He–O2 atmosphere.
                      Furthermore, we analyse the contribution of different
                      parameters to the uncertainty of the model. The model
                      performance strongly differed between studies and incubation
                      conditions. Re-evaluation of the previous data set
                      demonstrated that using soils-specific instead of default
                      endmember values could largely improve model performance.
                      Since the uncertainty of modelled N2O reduction was
                      relatively high, further improvements to estimate model
                      parameters to obtain more precise estimations remain an
                      on-going matter, e.g. by determination of soil-specific
                      isotope fractionation factors and isotopocule endmember
                      values of N2O production processes using controlled
                      laboratory incubations. The applicability of the mapping
                      approach model is promising with an increasing availability
                      of real-time and field based analysis of N2O isotope
                      signatures.},
      cin          = {IBG-3},
      ddc          = {610},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255)},
      pid          = {G:(DE-HGF)POF3-255},
      typ          = {PUB:(DE-HGF)16},
      pubmed       = {pmid:31627026},
      UT           = {WOS:000497259100015},
      doi          = {10.1016/j.envres.2019.108806},
      url          = {https://juser.fz-juelich.de/record/868419},
}