Crop rotation modelling: A European model intercomparison

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet


  • Chris Kollas
  • Kurt Christian Kersebaum
  • Claas Nendel
  • Kiril Manevski
  • Christoph Müller
  • Taru Palosuo
  • Cecilia M. Armas-Herrera
  • Nicolas Beaudoin
  • Marco Bindi
  • Monia Charfeddine
  • Tobias Conradt
  • Julie Constantin
  • Josef Eitzinger
  • Frank Ewert
  • Roberto Ferrise
  • Thomas Gaiser
  • Iñaki Garcia de Cortazar-Atauri
  • Luisa Giglio
  • Petr Hlavinka
  • Holger Hoffmann
  • Munir P. Hoffmann
  • Marie Launay
  • Remy Manderscheid
  • Bruno Mary
  • Wilfried Mirschel
  • Marco Moriondo
  • Jørgen E. Olesen
  • Isik Öztürk
  • Dominique Ripoche-Wachter
  • Pier Paolo Roggero
  • Svenja Roncossek
  • Reimund P. Rötter
  • Françoise Ruget
  • Behzad Sharif
  • Mirek Trnka
  • Domenico Ventrella
  • Katharina Waha
  • Martin Wegehenkel
  • Hans Joachim Weigel
  • Lianhai Wu

Diversification of crop rotations is considered an option to increase the resilience of European crop production under climate change. So far, however, many crop simulation studies have focused on predicting single crops in separate one-year simulations. Here, we compared the capability of fifteen crop growth simulation models to predict yields in crop rotations at five sites across Europe under minimal calibration. Crop rotations encompassed 301 seasons of ten crop types common to European agriculture and a diverse set of treatments (irrigation, fertilisation, CO<inf>2</inf> concentration, soil types, tillage, residues, intermediate or catch crops).We found that the continuous simulation of multi-year crop rotations yielded results of slightly higher quality compared to the simulation of single years and single crops. Intermediate crops (oilseed radish and grass vegetation) were simulated less accurately than main crops (cereals). The majority of models performed better for the treatments of increased CO<inf>2</inf> and nitrogen fertilisation than for irrigation and soil-related treatments. The yield simulation of the multi-model ensemble reduced the error compared to single-model simulations.The low degree of superiority of continuous simulations over single year simulation was caused by (a) insufficiently parameterised crops, which affect the performance of the following crop, and (b) the lack of growth-limiting water and/or nitrogen in the crop rotations under investigation. In order to achieve a sound representation of crop rotations, further research is required to synthesise existing knowledge of the physiology of intermediate crops and of carry-over effects from the preceding to the following crop, and to implement/improve the modelling of processes that condition these effects.

ZeitschriftEuropean Journal of Agronomy
Seiten (von - bis)98 - 111
Anzahl der Seiten14
PublikationsstatusErschienen - 10.2015