% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@ARTICLE{Herbst:839885,
      author       = {Herbst, M. and Welp, G. and Macdonald, A. and Jate, M. and
                      Hädicke, A. and Scherer, H. and Gaiser, T. and Herrmann, F.
                      and Amelung, W. and Vanderborght, J.},
      title        = {{C}orrespondence of measured soil carbon fractions and
                      {R}oth{C} pools for equilibrium and non-equilibrium states},
      journal      = {Geoderma},
      volume       = {314},
      issn         = {0016-7061},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2017-07464},
      pages        = {37 - 46},
      year         = {2018},
      abstract     = {The link between carbon turnover model pools and measurable
                      carbon fractions is of key interest for initial
                      parameterisation and subsequent validation of dynamic soil
                      carbon models. In this study we performed the established
                      particle-size fractionation of soils from 54 intensively
                      monitored sites in Germany and from archived samples from 5
                      other long-term experiments in Germany and the United
                      Kingdom. The Rothamsted carbon (RothC) model was then used
                      to compare the measured soil C fractionation from the 54
                      intensively monitored sites against modelled pools using
                      spin-up equilibrium runs whilst dynamic (non-equilibrium)
                      model runs were performed when comparing data from the
                      long-term experiments. We detected good agreement between
                      measured soil C fractions and modelled pools, indicated by
                      correlation coefficients of 0.73 and 0.81 for the resistant
                      plant material pool (RPM) and 0.91 and 0.94 for the humus
                      pool (HUM) for the intensively monitored and the long-term
                      sites, respectively. Slightly larger errors were detected
                      for the intensively monitored sites together with a bias in
                      the relationship between the RPM pool and particulate
                      organic matter fraction. This bias detected for the
                      intensively monitored sites indicated that the equilibrium
                      assumption for arable agricultural sites, even though under
                      crop cover for at least 50 years, might not be entirely
                      valid. From the relative mean absolute error of $11\%$ for
                      the HUM pool and $26\%$ for the RPM pool of the combined
                      data set we conform that the measured fractions can be used
                      to estimate the RothC model pools in arable soils. Given the
                      magnitude of these errors, however, we rather suggest to
                      apply the fractionation approach instead of using an
                      equilibrium assumption for the RothC initialisation of
                      arable sites.},
      cin          = {IBG-3},
      ddc          = {550},
      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},
      UT           = {WOS:000424178400005},
      doi          = {10.1016/j.geoderma.2017.10.047},
      url          = {https://juser.fz-juelich.de/record/839885},
}