Evaluating the ability of four crop models to predict different environmental impacts on spring wheat grown in open-top chambers

Christian Biernath, Sebastian Gayler, Sebastian Bittner, Christian Klein, Petra Högy, Andreas Fangmeier, Eckart Priesack

Research output: Contribution to journalArticlepeer-review

63 Scopus citations

Abstract

We used the modeling package Expert-N to investigate the ability of four generic-mechanistic crop models that were originally developed under field conditions to simulate the plant growth of spring wheat grown in open-top chambers (OTC) under different environmental conditions. We focus on the impacts of water limitation and elevated atmospheric CO2 concentration on biomass production. Expert-N facilitates the comparison of the components of agro-ecosystem models because it allows the exchange of single modules while leaving the rest of the model unchanged. The crop growth part of the models SPASS, CERES-Wheat, SUCROS and GECROS were combined with the Penman-Monteith equation for potential evapotranspiration, the HYDRUS-1D model for water transport and the LEACHN model for nitrogen transport and turnover simulation. The models were applied to a data set provided by OTC experiments with spring wheat (Triticum aestivum L. cv. 'Minaret') that was grown under two atmospheric CO2 concentrations (ambient/elevated), two irrigation schemes (non-limited water supply/water limitation) and two soil types (Cambisol/Chernosem) in two subsequent vegetation periods (1998/1999). Based on the model calibration using experimental and literature data, the best simulation results describing the impact of the considered environmental conditions were obtained using the SUCROS model followed by the SPASS, GECROS and CERES models. The study depicts the shortcomings of the underlying processes in all of the models. These shortcomings need to be addressed when models are applied on regional scales or for prediction under climate change conditions.

Original languageEnglish
Pages (from-to)71-82
Number of pages12
JournalEuropean Journal of Agronomy
Volume35
Issue number2
DOIs
StatePublished - Aug 2011
Externally publishedYes

Keywords

  • Crop growth simulation
  • Crop model
  • Elevated CO
  • Triticum aestivum L.
  • Wheat

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