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001050413 1001_ $$0P:(DE-Juel1)180553$$aLärm, Lena$$b0$$eCorresponding author$$ufzj
001050413 1112_ $$a85.Jahrestagung der Deutschen Geophysikalischen Gesellschaft$$cBochum$$d2025-02-24 - 2025-02-27$$wGermany
001050413 245__ $$aExploring the potential of using GPR to investigate the soil-plant continuumof maize crops
001050413 260__ $$c2025
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001050413 520__ $$aThe 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.
001050413 536__ $$0G:(DE-HGF)POF4-2173$$a2173 - Agro-biogeosystems: controls, feedbacks and impact (POF4-217)$$cPOF4-217$$fPOF IV$$x0
001050413 536__ $$0G:(BMBF)390732324$$aEXC 2070:  PhenoRob - Robotics and Phenotyping for Sustainable Crop Production (390732324)$$c390732324$$x1
001050413 7001_ $$0P:(DE-Juel1)186730$$aBauer, Felix$$b1$$ufzj
001050413 7001_ $$0P:(DE-Juel1)129553$$aWeihermüller, Lutz$$b2$$ufzj
001050413 7001_ $$0P:(DE-Juel1)195667$$aRödder, Jan$$b3
001050413 7001_ $$0P:(DE-Juel1)129549$$aVereecken, Harry$$b4$$ufzj
001050413 7001_ $$0P:(DE-Juel1)129548$$aVanderborght, Jan$$b5$$ufzj
001050413 7001_ $$0P:(DE-Juel1)129561$$avan der Kruk, Jan$$b6$$ufzj
001050413 7001_ $$0P:(DE-Juel1)157922$$aSchnepf, Andrea$$b7$$ufzj
001050413 7001_ $$0P:(DE-Juel1)129483$$aKlotzsche, Anja$$b8$$ufzj
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