3rd ISMC Conference ─ Advances in Modeling Soil Systems
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.

Same soil - different climate: crop model inter-comparison with lysimeter data of translocated monoliths

Jannis Groh1,2, Horst H. Gerke1, and the crop-soil modelling initiative*
Jannis Groh and Horst H. Gerke and the crop-soil modelling initiative
  • 1Leibniz-Center for Agriculture Landscape Research (ZALF), Landscape Function, Hydropedology, Jülich, Germany (
  • 2Forschungszentrum Jülich GmbH, Agrosphere, Institute of Bio- and Geoscience IBG-3, Jülich, Germany (
  • *A full list of authors appears at the end of the abstract

Crop model comparisons have mostly been carried out to test predictive ability under previous climate conditions and for soils of the same location. However, the ability of individual agricultural models to predict the effects of changes in climatic conditions on soil-ecosystems beyond the range of site-specific variability is unknown. The objective of this study was to test the predictive ability of agroecosystem models using weighable lysimeter data for the same soil under changing climatic conditions and to compare simulated plant growth and soil-ecosystem response to climate change between these models. To achieve this, data from the TERENO-SOILCan lysimeters-network for a soil-ecosystem at the original site (Dedelow) and data from the lysimeters with Dedelow soil monoliths transferred to Bad Lauchstädt and Selhausen were analysed. The transfer of the soils took place to a drier and warmer location (Bad Lauchstädt) and to a warmer and wetter location (Selhausen) compared to the original location of the soils in Dedelow with the same crop rotation. After model calibration for data from the original Dedelow site, crop growth and soil water balances of transferred Dedelow soil monoliths were predicted using the site-specific boundary conditions and compared with the observations at Selhausen and Bad Lauchstädt. The overall simulation output of the models was separated into a plant-related part, ecosystem-productivity (grain yield, biomass, LAI) and an environmental part, ecosystem-fluxes (evapotranspiration, net-drainage, soil moisture). The results showed that when the soil was transferred to a drier region, the agronomic part of the crop models predicted well, and when the soil was moved to wetter regions, the environmental flow part of the models seemed to predict better. The results suggest that accounting for climate change scenarios, more consideration of soil properties and testing model performance for conditions outside the calibrated range and site-specific variability will help improve the models.

crop-soil modelling initiative:

Jannis Groh (1,2), Efstathios Diamantopoulos (3), Xiaohong Duan (4), Frank Ewert (1), Florian Heinlein (4), Michael Herbst (2), Maja Holbak (3), Bahareh Kamali (1), Kurt-Christian Kersebaum (1,5), Matthias Kuhnert (6), Claas Nendel (1), Eckart Priesack (3), Jörg Steidl (1), Michael Sommer (1), Thomas Pütz (2), Jan Vanderborght (2), Harry Vereecken (2), Evelyn Wallor (1), Tobias K.D. Weber (7), Martin Wegehenkel (1), Lutz Weihermüller (2), Horst H. Gerke (1) - (1) Leibniz Centre for Agricultural Landscape Research (ZALF), Müncheberg, Germany (2) Forschungszentrum Jülich GmbH, Agrosphere, Institute of Bio- and Geoscience IBG-3, Jülich, Germany (3) Department of Plant and Environmental Science, University of Copenhagen, Copenhagen, Denmark (4) Helmholtz Zentrum München‐German Research Center for Environmental Health, Neuherberg, Germany (5) The Czech Academy of Sciences, Global Change Research Institute, Brno, Czech Republic (6) Institute of Biological and Environmental Science, University of Aberdeen, Aberdeen, United Kingdom (7) Institute of Soil Science and Land Evaluation, University of Hohenheim, Stuttgart, Germany

How to cite: Groh, J. and Gerke, H. H. and the crop-soil modelling initiative: Same soil - different climate: crop model inter-comparison with lysimeter data of translocated monoliths, 3rd ISMC Conference ─ Advances in Modeling Soil Systems, online, 18–22 May 2021, ISMC2021-45,, 2021.