% 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”.
@ARTICLE{Rahmati:877228,
author = {Rahmati, Mehdi and Groh, Jannis and Graf, Alexander and
Pütz, Thomas and Vanderborght, Jan and Vereecken, Harry},
title = {{O}n the impact of increasing drought on the relationship
between soil water content and evapotranspiration of a
grassland},
journal = {Vadose zone journal},
volume = {19},
number = {1},
issn = {1539-1663},
address = {Alexandria, Va.},
publisher = {GeoScienceWorld},
reportid = {FZJ-2020-02055},
pages = {e20029},
year = {2020},
abstract = {Weighable lysimeters were used to study the relation
between soil water content (SWC) and the actual
evapotranspiration (ETa) of grassland under two different
climate regimes of Rollesbroich and Selhausen but for an
identical soil from Rollesbroich. All components of the
water balance were determined from 2012 until 2018. Budyko
analysis was used to characterize the hydrological status of
the studied sites. Wavelet analysis was also applied to
study the power spectrum of ETa,
vegetation‐height‐adjusted reference evapotranspiration
(ETcrop), and water stress index (WSI) defined as
ETa/ETcrop, as well as SWC at three different depths and the
coherence between SWC and ETa and WSI. The Budyko analysis
showed that 2018 resulted in a shift of both locations
towards more water‐limited conditions, although
Rollesbroich remained an energy‐limited system. Based on
the power spectrum analysis, the annual timescale is the
dominant scale for the temporal variability of ETa, ETcrop,
and SWC. The results also showed that increasing dryness at
the energy‐limited site led to more temporal variability
of SWC at all depths at the annual timescale. Wavelet
coherence analysis showed a reduction of the phase shift
between SWC and ETa at an annual scale caused by the
increase in dryness during the measurement period. We found
that phase shifts between SWC and ETa and SWC and WSI were
stronger at the water‐limited site than at the
energy‐limited site. The wavelet coherence analysis also
showed that from 2014 to 2018, the control of ETa and WSI on
SWC increased due to higher dryness of soil.},
cin = {IBG-3},
ddc = {550},
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)16},
UT = {WOS:000618773300029},
doi = {10.1002/vzj2.20029},
url = {https://juser.fz-juelich.de/record/877228},
}