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@INPROCEEDINGS{Lrm:1050413,
      author       = {Lärm, Lena and Bauer, Felix and Weihermüller, Lutz and
                      Rödder, Jan and Vereecken, Harry and Vanderborght, Jan and
                      van der Kruk, Jan and Schnepf, Andrea and Klotzsche, Anja},
      title        = {{E}xploring the potential of using {GPR} to investigate the
                      soil-plant continuumof maize crops},
      reportid     = {FZJ-2026-00183},
      year         = {2025},
      abstract     = {The soil-plant continuum plays a vital role in regulating
                      key processes that impact plant per-formance and
                      agricultural productivity. Understanding these processes is
                      becoming increas-ingly important as climate change affects
                      agricultural systems. Diverging techniques
                      likeagrogeophysics and crop science are currently used to
                      investigate individual components ofthe soil-plant continuum
                      at contrasting scales. However, since these components
                      influenceeach other, integrated methods combining methods
                      like ground penetrating radar (GPR)with root imaging and
                      modelling techniques are needed. First, a study examined the
                      impactof row crops like maize on horizontal variability in
                      GPR-derived permittivities and root vol-ume fraction.
                      Factors like soil type, water treatment, and atmospheric
                      conditions were foundto influence this. A statistical
                      analysis method was developed to visualize the
                      trend-correctedspatial permittivity deviation, allowing
                      correlation between permittivity variability and rootvolume
                      fractions. Second, numerical modeling showed roots had a
                      greater impact on GPRsignals than above-ground shoots. A new
                      approach to derive available soil water was pre-sented,
                      demonstrating that neglecting the root phase in
                      petrophysical mixing models over-estimates soil water
                      content. Third, horizontal crosshole GPR-derived soil water
                      contents werecombined with a hydrological model to estimate
                      soil hydraulic parameters for winter wheat.This sequential
                      hydrogeophysical inversion was first used for a
                      one-dimensional averagedcase, then upscaled to estimate
                      pseudo three-dimensional spatially distributed parametersfor
                      a dual-porosity Mualem-van-Genuchten model.},
      month         = {Feb},
      date          = {2025-02-24},
      organization  = {85.Jahrestagung der Deutschen
                       Geophysikalischen Gesellschaft, Bochum
                       (Germany), 24 Feb 2025 - 27 Feb 2025},
      subtyp        = {After Call},
      cin          = {IBG-3},
      cid          = {I:(DE-Juel1)IBG-3-20101118},
      pnm          = {2173 - Agro-biogeosystems: controls, feedbacks and impact
                      (POF4-217) / EXC 2070:  PhenoRob - Robotics and Phenotyping
                      for Sustainable Crop Production (390732324)},
      pid          = {G:(DE-HGF)POF4-2173 / G:(BMBF)390732324},
      typ          = {PUB:(DE-HGF)24},
      url          = {https://juser.fz-juelich.de/record/1050413},
}