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@ARTICLE{Brogi:874353,
      author       = {Brogi, C. and Huisman, J. A. and Herbst, M. and
                      Weihermüller, L. and Klosterhalfen, A. and Montzka, C. and
                      Reichenau, T. G. and Vereecken, H.},
      title        = {{S}imulation of spatial variability in crop leaf area index
                      and yield using agroecosystem modeling and
                      geophysics‐based quantitative soil information},
      journal      = {Vadose zone journal},
      volume       = {19},
      number       = {1},
      issn         = {1539-1663},
      address      = {Alexandria, Va.},
      publisher    = {GeoScienceWorld},
      reportid     = {FZJ-2020-01385},
      pages        = {e200009},
      year         = {2020},
      abstract     = {Agroecosystem models that simulate crop growth as a
                      function of weather conditions and soil characteristics are
                      among the most promising tools for improving crop yield and
                      achieving more sustainable agricultural production systems.
                      This study aims at using spatially distributed crop growth
                      simulations to investigate how field-scale patterns in soil
                      properties obtained using geophysical mapping affect the
                      spatial variability of soil water content dynamics and
                      growth of crops at the square kilometer scale. For this, a
                      geophysics-based soil map was intersected with land use
                      information. Soil hydraulic parameters were calculated using
                      pedotransfer functions. Simulations of soil water content
                      dynamics performed with the agroecosystem model AgroC were
                      compared with soil water content measured at two locations,
                      resulting in RMSE of 0.032 and of 0.056 cm3 cm−3,
                      respectively. The AgroC model was then used to simulate the
                      growth of sugar beet (Beta vulgaris L.), silage maize (Zea
                      mays L.), potato (Solanum tuberosum L.), winter wheat
                      (Triticum aestivum L.), winter barley (Hordeum vulgare L.),
                      and winter rapeseed (Brassica napus L.) in the 1- by 1-km
                      study area. It was found that the simulated leaf area index
                      (LAI) was affected by the magnitude of simulated water
                      stress, which was a function of both the crop type and soil
                      characteristics. Simulated LAI was generally consistent with
                      the observed LAI calculated from normalized difference
                      vegetation index (LAINDVI) obtained from RapidEye satellite
                      data. Finally, maps of simulated agricultural yield were
                      produced for four crops, and it was found that simulated
                      yield matched well with actual harvest data and literature
                      values. Therefore, it was concluded that the information
                      obtained from geophysics-based soil mapping was valuable for
                      practical agricultural applications.},
      cin          = {IBG-3},
      ddc          = {550},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {255 - Terrestrial Systems: From Observation to Prediction
                      (POF3-255) / DFG project 15232683 - TRR 32: Muster und
                      Strukturen in Boden-Pflanzen-Atmosphären-Systemen:
                      Erfassung, Modellierung und Datenassimilation},
      pid          = {G:(DE-HGF)POF3-255 / G:(GEPRIS)15232683},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:000618773300009},
      doi          = {10.1002/vzj2.20009},
      url          = {https://juser.fz-juelich.de/record/874353},
}