TY  - JOUR
AU  - Brogi, Cosimo
AU  - Huisman, Johan A.
AU  - Weihermüller, Lutz
AU  - Herbst, Michael
AU  - Vereecken, Harry
TI  - Added value of geophysics-based soil mapping in agro-ecosystem simulations
JO  - Soil
VL  - 7
IS  - 1
SN  - 2199-398X
CY  - Göttingen
PB  - Copernicus Publ.
M1  - FZJ-2021-03114
SP  - 125 - 143
PY  - 2021
AB  - There is an increased demand for quantitative high-resolution soil maps that enable within-field management. Commonly available soil maps are generally not suited for this purpose, but digital soil mapping and geophysical methods in particular allow soil information to be obtained with an unprecedented level of detail. However, it is often difficult to quantify the added value of such high-resolution soil information for agricultural management and agro-ecosystem modelling. In this study, a detailed geophysics-based soil map was compared to two commonly available general-purpose soil maps. In particular, the three maps were used as input for crop growth models to simulate leaf area index (LAI) of five crops for an area of ∼ 1 km2. The simulated development of LAI for the five crops was evaluated using LAI obtained from multispectral satellite images. Overall, it was found that the geophysics-based soil map provided better LAI predictions than the two general-purpose soil maps in terms of correlation coefficient R2, model efficiency (ME), and root mean square error (RMSE). Improved performance was most apparent in the case of prolonged periods of drought and was strongly related to the combination of soil characteristics and crop type.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000653636800001
DO  - DOI:10.5194/soil-7-125-2021
UR  - https://juser.fz-juelich.de/record/894234
ER  -