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@ARTICLE{Guillaume:1010151,
author = {Guillaume, Benjamin and Aroui Boukbida, Hanane and Bakker,
Gerben and Bieganowski, Andrzej and Brostaux, Yves and
Cornelis, Wim and Durner, Wolfgang and Hartmann, Christian
and Iversen, Bo V. and Javaux, Mathieu and Ingwersen,
Joachim and Lamorski, Krzysztof and Lamparter, Axel and
Makó, András and Mingot Soriano, Ana María and Messing,
Ingmar and Nemes, Attila and Pomes-Bordedebat, Alexandre and
van der Ploeg, Martine and Weber, Tobias Karl David and
Weihermüller, Lutz and Wellens, Joost and Degré, Aurore},
title = {{R}eproducibility of the wet part of the soil water
retention curve: a {E}uropean interlaboratory comparison},
journal = {Soil},
volume = {9},
number = {1},
issn = {2199-3971},
address = {Göttingen},
publisher = {Copernicus Publ.},
reportid = {FZJ-2023-02979},
pages = {365 - 379},
year = {2023},
abstract = {The soil water retention curve (SWRC) is a key soil
property required for predicting basic hydrological
processes. The SWRC is often obtained in the laboratory with
non-harmonized methods. Moreover, procedures associated with
each method are not standardized. This can induce a lack of
reproducibility between laboratories using different methods
and procedures or using the same methods with different
procedures. The goal of this study was to estimate the
inter- and intralaboratory variability of the measurement of
the wet part (from 10 to 300 hPa) of the SWRC. An
interlaboratory comparison was carried out between 14
laboratories, using artificially constructed, porous
reference samples that were transferred between laboratories
according to a statistical design. The retention
measurements were modelled by a series of linear mixed
models using a Bayesian approach. This allowed the detection
of sample-to-sample variability, interlaboratory
variability, intralaboratory variability and the effects of
sample changes between measurements. The greatest portion of
the differences in the measurement of SWRCs was due to
interlaboratory variability. The intralaboratory variability
was highly variable depending on the laboratory. Some
laboratories successfully reproduced the same SWRC on the
same sample, while others did not. The mean intralaboratory
variability over all laboratories was smaller than the mean
interlaboratory variability. A possible explanation for
these results is that all laboratories used slightly
different methods and procedures. We believe that this
result may be of great importance regarding the quality of
SWRC databases built by pooling SWRCs obtained in different
laboratories. The quality of pedotransfer functions or maps
that might be derived is probably hampered by this inter-
and intralaboratory variability. The way forward is that
measurement procedures of the SWRC need to be harmonized and
standardized.},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {2173 - Agro-biogeosystems: controls, feedbacks and impact
(POF4-217)},
pid = {G:(DE-HGF)POF4-2173},
typ = {PUB:(DE-HGF)16},
UT = {WOS:001021655700001},
doi = {10.5194/soil-9-365-2023},
url = {https://juser.fz-juelich.de/record/1010151},
}