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@ARTICLE{Weihermller:844604,
      author       = {Weihermüller, L. and Neuser, A. and Herbst, M. and
                      Vereecken, H.},
      title        = {{P}roblems associated to kinetic fitting of incubation
                      data},
      journal      = {Soil biology $\&$ biochemistry},
      volume       = {120},
      issn         = {0038-0717},
      address      = {Amsterdam [u.a.]},
      publisher    = {Elsevier Science},
      reportid     = {FZJ-2018-02008},
      pages        = {260 - 271},
      year         = {2018},
      abstract     = {Incubation is a classical laboratory experiment to gain
                      information about the carbon turnover from soils under
                      different treatments (e.g., temperatures, water content,
                      nutrient supply), amendments (e.g. biochar, straw, compost),
                      or from different locations (e.g. topsoil vs. subsoil).
                      Classically, the measured data are represented as cumulated
                      CO2 flux or as $\%$ total organic carbon (TOC) mineralized
                      and from those data kinetic parameters are often derived
                      using models of different complexity. Based on the
                      conceptual idea that more than one C-pool exists, especially
                      in soil mixtures, the simple single-pool model is more and
                      more substituted by double-pool models to describe these
                      data. Hereby, the model will be iteratively fitted to the
                      data to obtain the pool sizes and rate constants of the
                      pools (slow and fast). In the work presented, we show that
                      the fitting of double-pool models will lead to different
                      results in the pool sizes and kinetic parameters, depending
                      on the fitting approach used. Secondly, general problems of
                      over-fitting and the ill-posed problem are discussed,
                      whereby it will be shown, that especially the estimation of
                      the rate constant for the slow pool is highly uncertain.
                      Based on these general findings and problems in the fitting
                      procedure, fitting results reported in literature were
                      analyzed. The meta-analysis indicates that only a small
                      number of reported fits are apparently not well fitted,
                      whereas a non-negligible percentage of reported fits were
                      over-fitted or wrong parameters were reported. Finally, the
                      paper provides guidelines for kinetic fitting and discusses
                      possible fitting alternatives.},
      cin          = {IBG-3},
      ddc          = {570},
      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:000430031900026},
      doi          = {10.1016/j.soilbio.2018.01.017},
      url          = {https://juser.fz-juelich.de/record/844604},
}