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@ARTICLE{Brogi:874353,
author = {Brogi, C. and Huisman, J. A. and Herbst, M. and
Weihermüller, L. and Klosterhalfen, A. and Montzka, C. and
Reichenau, T. G. and Vereecken, H.},
title = {{S}imulation of spatial variability in crop leaf area index
and yield using agroecosystem modeling and
geophysics‐based quantitative soil information},
journal = {Vadose zone journal},
volume = {19},
number = {1},
issn = {1539-1663},
address = {Alexandria, Va.},
publisher = {GeoScienceWorld},
reportid = {FZJ-2020-01385},
pages = {e200009},
year = {2020},
abstract = {Agroecosystem models that simulate crop growth as a
function of weather conditions and soil characteristics are
among the most promising tools for improving crop yield and
achieving more sustainable agricultural production systems.
This study aims at using spatially distributed crop growth
simulations to investigate how field-scale patterns in soil
properties obtained using geophysical mapping affect the
spatial variability of soil water content dynamics and
growth of crops at the square kilometer scale. For this, a
geophysics-based soil map was intersected with land use
information. Soil hydraulic parameters were calculated using
pedotransfer functions. Simulations of soil water content
dynamics performed with the agroecosystem model AgroC were
compared with soil water content measured at two locations,
resulting in RMSE of 0.032 and of 0.056 cm3 cm−3,
respectively. The AgroC model was then used to simulate the
growth of sugar beet (Beta vulgaris L.), silage maize (Zea
mays L.), potato (Solanum tuberosum L.), winter wheat
(Triticum aestivum L.), winter barley (Hordeum vulgare L.),
and winter rapeseed (Brassica napus L.) in the 1- by 1-km
study area. It was found that the simulated leaf area index
(LAI) was affected by the magnitude of simulated water
stress, which was a function of both the crop type and soil
characteristics. Simulated LAI was generally consistent with
the observed LAI calculated from normalized difference
vegetation index (LAINDVI) obtained from RapidEye satellite
data. Finally, maps of simulated agricultural yield were
produced for four crops, and it was found that simulated
yield matched well with actual harvest data and literature
values. Therefore, it was concluded that the information
obtained from geophysics-based soil mapping was valuable for
practical agricultural applications.},
cin = {IBG-3},
ddc = {550},
cid = {I:(DE-Juel1)IBG-3-20101118},
pnm = {255 - Terrestrial Systems: From Observation to Prediction
(POF3-255) / DFG project 15232683 - TRR 32: Muster und
Strukturen in Boden-Pflanzen-Atmosphären-Systemen:
Erfassung, Modellierung und Datenassimilation},
pid = {G:(DE-HGF)POF3-255 / G:(GEPRIS)15232683},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000618773300009},
doi = {10.1002/vzj2.20009},
url = {https://juser.fz-juelich.de/record/874353},
}