4.7 Article

Crop rotation modelling-A European model intercomparison

期刊

EUROPEAN JOURNAL OF AGRONOMY
卷 70, 期 -, 页码 98-111

出版社

ELSEVIER
DOI: 10.1016/j.eja.2015.06.007

关键词

Model ensemble; Crop simulation models; Catch crop; Intermediate crop; Treatment; Multi-year

类别

资金

  1. BMBF via the CARBIOCIAL research project [01LL0902 M]
  2. FACCE MACSUR project - German Federal Ministry of Education and Research (BMBF) [031A103B]
  3. KULUNDA project - BMBF [01LL0905L]
  4. NORFASYS project - Academy of Finland [268,277]
  5. MIT strategic project MACSUR - Finnish Ministry of Agriculture and Forestry
  6. MIT strategic project MODAGS - Finnish Ministry of Agriculture and Forestry
  7. FACCE MACSUR project - German Federal Ministry of Food and Agriculture (BMEL) [2812ERA115, 2812ERA147]
  8. BMEL
  9. FACCE MACSUR project by Innovation Fund Denmark
  10. FACCE MACSUR project by INRA ACCAF Metaprogramme

向作者/读者索取更多资源

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, CO2 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 CO2 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. (C) 2015 Elsevier B.V. All rights reserved.

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