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@ARTICLE{Schrder:153441,
author = {Schröder, Natalie and Lazarovitch, Naftali and
Vanderborght, Jan and Vereecken, Harry and Javaux, Mathieu},
title = {{L}inking transpiration reduction to rhizosphere salinity
using a 3{D} coupled soil-plant model},
journal = {Plant and soil},
volume = {377},
number = {1-2},
issn = {1573-5036},
address = {Dordrecht [u.a.]},
publisher = {Springer Science + Business Media B.V},
reportid = {FZJ-2014-03048},
pages = {277 - 293},
year = {2014},
abstract = {Aims: Soil salinity can cause salt plant stress by reducing
plant transpiration and yield due to very low osmotic
potentials in the soil. For predicting this reduction, we
present a simulation study to (i) identify a suitable
functional form of the transpiration reduction function and
(ii) to explain the different shapes of empirically observed
reduction functions.MethodsWe used high resolution
simulations with a model that couples 3D water flow and salt
transport in the soil towards individual roots with flow in
the root system.ResultsThe simulations demonstrated that the
local total water potential at the soil-root interface, i.e.
the sum of the matric and osmotic potentials, is for a given
root system, uniquely and piecewise linearly related to the
transpiration rate. Using bulk total water potentials, i.e.
spatially and temporally averaged potentials in the soil
around roots, sigmoid relations were obtained. Unlike for
the local potentials, the sigmoid relations were non-unique
functions of the total bulk potential but depended on the
contribution of the bulk osmotic potential.ConclusionsTo a
large extent, Transpiration reduction is controlled by water
potentials at the soil-root interface. Since spatial
gradients in water potentials around roots are different for
osmotic and matric potentials, depending on the root density
and on soil hydraulic properties, transpiration reduction
functions in terms of bulk water potentials cannot be
transferred to other conditions, i.e. soil type, salt
content, root density, beyond the conditions for which they
were derived. Such a transfer could be achieved by
downscaling to the soil-root interface using simulations
with a high resolution process model.},
cin = {IBG-3},
ddc = {570},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255) / 246 - Modelling and Monitoring Terrestrial
Systems: Methods and Technologies (POF2-246)},
pid = {G:(DE-HGF)POF3-255 / G:(DE-HGF)POF2-246},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000333614600019},
doi = {10.1007/s11104-013-1990-8},
url = {https://juser.fz-juelich.de/record/153441},
}