% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@PHDTHESIS{Huber:202647,
author = {Huber, Katrin},
title = {{T}he role of soil heterogeneity on field scale
evapotranspiration: 3{D} integrative modellingand upscaling
of root water uptake},
volume = {263},
school = {Univ. Bonn},
type = {Dissertation},
address = {Jülich},
publisher = {Forschungszentrum Jülich GmbH Zentralbibliothek, Verlag},
reportid = {FZJ-2015-04837},
isbn = {978-3-95806-057-9},
series = {Schriften des Forschungszentrums Jülich Reihe Energie $\&$
Umwelt / Energy $\&$ Environment},
pages = {xii, 128},
year = {2015},
note = {Dissertation, Univ. Bonn, 2014},
abstract = {Background and Motivation: Hydrological models mainly rely
on empirical functions to describe rootwater uptake.
However, in case of water limitation due to either scarce or
heterogeneously distributedsoil water, plants have developed
strategies to adapt. One short-term strategy is the
regulation ofstomatal aperture either by plant hydraulics or
phyto-hormones. The latter are thought to act as a kindof
sensor for dry soil. It can be assumed that hormones are
produced locally in single root segments asfunction of low
root water potentials. After being transported with the
xylem stream they becomeeffective in stomatal closure.
Long-term adaptation strategies are mostly related to
changes in carbonallocation within the plant and result in
growth adaptations. Both strategies often remain
insufficientlyrepresented in hydrological models.Methods:
R-SWMS, a mechanistic soil and root water flow model that
operates at the scale of a singleroot system was used to
conduct a variety of virtual experiments. The model
simulates threedimensional water flow through the soil, to,
and within the roots. It was extended by a module toaccount
for additional hormonal signalling, subsequently testing its
influence in virtual split-rootexperiments. In a next step,
direct mathematical relationships that link effective soil
water potentialand transpiration were derived. Considering
the long-term adaptation strategies, the numerical modelwas
modified to incorporate measured dynamic root
architectures.Results: Measured hormone concentrations in
the leaves and some phenomena, like e.g. oscillations
instomatal aperture, were reproduced by the model. The
direct relationships between soil water potentialand
transpiration showed that the stomatal behaviour depends on
the underlying control and itsparameterization. Experimental
data, visualizing root systems over a 30 day growth period,
wereobtained from UFZ Halle, Germany, by CT scans. This
dataset showed that plants grown underpermanently limited
water supply were considerably smaller with correspondingly
less total wateruptake compared to plants with initially
unrestricted water resources. In combination with
thenumerical model, the flow dynamics in the soil-root
system were resolved. The predicted location ofroot water
uptake was found to be different from the measured zone of
water depletion.Conclusion: The implementation of
bio-physical relationships into a mechanistic root soil
modelresulted in a powerful tool to identify key processes
for plant water use in agricultural environments.This work
provided new direct relationships between the effective soil
water potential andtranspiration rate in case stomata are
controlled by hormones. In combination with an
experimentaldataset it gave new insights into water pathways
within the soil-plant continuum.},
cin = {IBG-3},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255)},
pid = {G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)3 / PUB:(DE-HGF)11},
urn = {urn:nbn:de:0001-2015071401},
url = {https://juser.fz-juelich.de/record/202647},
}