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@ARTICLE{Lrm:1017300,
author = {Lärm, Lena and Bauer, Felix and van der Kruk, Jan and
Vanderborght, Jan and Morandage, Shehan and Vereecken, Harry
and Schnepf, Andrea and Klotzsche, Anja},
title = {{L}inking horizontal crosshole {GPR} variability with root
image information for maize crops},
journal = {Vadose zone journal},
volume = {23},
number = {1},
issn = {1539-1663},
address = {Hoboken, NJ},
publisher = {Wiley},
reportid = {FZJ-2023-04034},
pages = {e20293},
year = {2024},
abstract = {Non-invasive imaging of processes within the soil–plant
continuum, particularly rootand soilwater distributions, can
help optimize agricultural practices such as irrigationand
fertilization. In this study, in situ time-lapse horizontal
crosshole groundpenetratingradar (GPR) measurements and root
images were collected over threemaize crop growing seasons
at two minirhizotron facilities (Selhausen, Germany).Root
development and GPR permittivity were monitored at six
depths (0.1–1.2 m)for different treatments within two soil
types. We processed these data in a new waythat gave us the
information of the “trend-corrected spatial permittivity
deviation ofvegetated field,” allowing us to
investigatewhether the presence of roots increases
thevariability of GPR permittivity in the soil. This removed
the main non-root-relatedinfluencing factors: static
influences, such as soil heterogeneities and rhizotube
deviations,and dynamic effects, such as seasonal moisture
changes. This trend-correctedspatial permittivity deviation
showed a clear increase during the growing season,which
could be linked with a similar increase in root volume
fraction. Additionally,the corresponding probability density
functions of the permittivity variability werederived and
cross-correlated with the root volume fraction, resulting in
a coefficientof determination (R2) above 0.5 for 23 out of
46 correlation pairs. Although bothfacilities had different
soil types and compaction levels, they had similar numbersof
good correlations. A possible explanation for the observed
correlation is that thepresence of roots causes a
redistribution of soil water, and therefore an increase
insoil water variability.},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {2173 - Agro-biogeosystems: controls, feedbacks and impact
(POF4-217) / DFG project 390732324 - EXC 2070: PhenoRob -
Robotik und Phänotypisierung für Nachhaltige
Nutzpflanzenproduktion (390732324) / DFG project 15232683 -
TRR 32: Muster und Strukturen in
Boden-Pflanzen-Atmosphären-Systemen: Erfassung,
Modellierung und Datenassimilation (15232683)},
pid = {G:(DE-HGF)POF4-2173 / G:(GEPRIS)390732324 /
G:(GEPRIS)15232683},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001110683400001},
doi = {10.1002/vzj2.20293},
url = {https://juser.fz-juelich.de/record/1017300},
}