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@ARTICLE{Stadler:187365,
author = {Stadler, Anja and Rudolph, Sebastian and Kupisch, Moritz
and Langensiepen, Matthias and van der Kruk, Jan and Ewert,
Frank},
title = {{Q}uantifying the effects of soil variability on crop
growth using apparent soil electrical conductivity
measurements},
journal = {European journal of agronomy},
volume = {64},
issn = {1161-0301},
address = {Amsterdam [u.a.]},
publisher = {Elsevier Science},
reportid = {FZJ-2015-01036},
pages = {8 - 20},
year = {2015},
abstract = {Spatial heterogeneity of crop growth within fields is
rarely quantified but essential for estimating yield and
optimizing crop management. Relationships in fields between
crop growth and soil physical characteristics have been
described before but an unrealistically high number of
invasive measurements have to be made to obtain spatially
continuous soil information. Alternatively, non-invasive
methods are available for characterizing soil heterogeneity
but relationships to growth characteristics have rarely been
investigated. Here, we use an electromagnetic induction
(EMI) sensor to measure the apparent electromagnetic
conductivity of the soil (ECa), which can be used as a proxy
for the relative spatial variability of the prevailing soil
properties. We evaluate relationships between ECa and soil
and crop characteristics assuming that measured ECa patterns
relate to observed growth patterns in the field. The test
fields were located in Western Germany where different crops
(winter wheat, winter barley, and sugar beet) were grown
between 2011 and 2013. Measurements include soil texture,
soil moisture and crop growth characteristics taken
frequently throughout the vegetation periods for plant
height, leaf area index (LAI), dry matter of plants and
selected organs (green leaves and storage organs). Spatial
variability was observed for soil and crop characteristics
that differed among fields, crops and years. Good
correlations between ECa and soil texture and soil moisture
confirmed that ECa measurements are suitable for
characterizing spatial differences in soil properties for
our test sites. Averaged over all sampling dates of a
vegetation period the differences in the spatial variability
of crop characteristics were small between the years and
crops considered. However, the within-field crop growth
heterogeneity changed throughout the growing period
depending on the crop development stage. Correlations were
found between ECa and the crop characteristics that varied
with time and were most pronounced in the main growth phase
when LAI approached its maximum. Crop height correlated
better with ECa than yield, LAI, and dry matter but
differences were observed between fields, years and crops.
Our results suggest that in dry years soil patterns have a
stronger influence on the crop growth patterns than in
wetter years when water limitation is less severe. We
conclude that ECa measurements are suitable for detecting
spatial patterns in soil characteristics that influence the
spatial crop growth patterns for the region, years and crops
considered. However, relationships between patterns in crop
growth and soil characteristics within fields are more
complex and require further investigation.},
cin = {IBG-3},
ddc = {630},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255) / 255 - Terrestrial Systems: From Observation to
Prediction (POF3-255)},
pid = {G:(DE-HGF)POF3-255 / G:(DE-HGF)POF3-255},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000349425100002},
doi = {10.1016/j.eja.2014.12.004},
url = {https://juser.fz-juelich.de/record/187365},
}