Preprints
https://doi.org/10.5194/soil-2020-78
https://doi.org/10.5194/soil-2020-78

  28 Dec 2020

28 Dec 2020

Review status: a revised version of this preprint was accepted for the journal SOIL and is expected to appear here in due course.

Added value of geophysics-based soil mapping in agro-ecosystem simulations

Cosimo Brogi, Johan A. Huisman, Lutz Weihermüller, Michael Herbst, and Harry Vereecken Cosimo Brogi et al.
  • Agrosphere (IBG-3), Institute of Bio- and Geosciences, Forschungszentrum Jülich, Germany

Abstract. Developments in agricultural applications have led to 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 to obtain soil information with unprecedented level of detail. However, it is often difficult to quantify the added value of such high-resolution soil information for agricultural management and crop 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 case of prolonged periods of drought and was strongly related to the combination of soil characteristics and crop type.

Cosimo Brogi et al.

 
Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

Cosimo Brogi et al.

Cosimo Brogi et al.

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Short summary
There is need in agriculture for detailed soil maps that carry quantitative information. Geophysics-based soil maps have the potential to deliver such products but their added value has not been fully investigated yet. In this study, we compare the use of a geophysics-based soil map with the use of two commonly available maps as input for crop growth simulations. The geophysics base product results in better simulations with improvements that depend on precipitations, soil, and crop type.