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@ARTICLE{Herbst:1044978,
      author       = {Herbst, Michael and Mohammed, Gihan and Eichler-Löbermann,
                      Bettina and Amelung, Wulf and Vanderborght, Jan and Siebers,
                      Nina},
      title        = {{L}inking {M}easurable {P}hosphorus {P}ools {W}ith
                      {S}imulations of {S}oil {P} {D}ynamics: {R}esults for the
                      {L}ong‐{T}erm {E}xperiment ‘{R}ostock’},
      journal      = {European journal of soil science},
      volume       = {76},
      number       = {4},
      issn         = {0022-4588},
      address      = {Oxford [u.a.]},
      publisher    = {Wiley-Blackwell},
      reportid     = {FZJ-2025-03468},
      pages        = {e70160},
      year         = {2025},
      abstract     = {Phosphorus (P) is removed from agroecosystems through
                      harvesting, and sustainable management must include P
                      fertiliza-tion as P availability affects crop performance.
                      However, accurate assessment of plant-­ available P is
                      challenging. In this study,two promising approaches are
                      combined to assess the plant-­ available P of a 22-­ year
                      long-­ term experiment (LTE) near Rostock,Germany. We
                      hypothesize agreement between a modern P test method and
                      process-­ based model estimates of plant-­ availableP. The
                      diffusive gradients in thin films (DGT) technique offers an
                      accurate P test method because it mimics the diffusion
                      anddesorption of soil P in the presence of root uptake. This
                      was applied in a synergetic combination with a state-­
                      of-­ the-­ art agroeco-system model that was extended with
                      a P cycling module. The simulations and yearly DGT-­ P
                      analyses comprise 4 treatments: noP fertilization, mineral P
                      fertilization with triple-­ superphosphate, organic P
                      fertilization with compost, and mineral plus organicP
                      fertilization. Soils at 0–30 cm depth were sampled in four
                      replicates on a yearly basis between 1999 and 2021. In
                      addition, a Pfractionation was applied for 2015 using the
                      Hedley approach, which made it possible to link non-­
                      plant-­ available, steady P frac-tions with the respective
                      model pools. The comparison between DGT-­ P determined
                      plant-­ available P up to a depth of 30 cm andthat
                      estimated from the pools of the agroecosystem model AgroC
                      showed agreement with respect to the differences between
                      thetreatments and with respect to the temporal evolution (R2
                      between 0.65 and 0.7). Less agreement was detected for
                      DGT-­ P and therespective model pools in deeper soil. A
                      closer match over soil depth was found between grouped
                      Hedley P fractions and AgroCmodel pools. Both, model and
                      DGT-­ P analyses indicate that a new plant-­ available P
                      equilibrium will be established under thenew P management
                      after about 12 years for the Rostock site, which points to
                      the resilience of P cycling in agroecosystems. Weconclude
                      that the combined application of DGT-­ P analysis and
                      agroecosystem modeling offers a robust and accurate
                      quantifica-tion of plant-­ available P in the plough layer
                      and can be used to create an agricultural digital twin with
                      respect to soil P availabilityand its impact on crop yield.},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217)},
      pid          = {G:(DE-HGF)POF4-2173},
      typ          = {PUB:(DE-HGF)16},
      doi          = {10.1111/ejss.70160},
      url          = {https://juser.fz-juelich.de/record/1044978},
}