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Crop rotation modelling—A European model intercomparison

Authors: Kollas, Chris; Kersebaum, Kurt Christian; Nendel, Claas; Manevski, Kiril; Müller, Christoph; Palosuo, Taru; Armas-Herrera, Cecilia; +34 Authors

Crop rotation modelling—A European model intercomparison

Abstract

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).

Countries
Italy, Germany, Italy, France, Italy, Italy, United Kingdom, Finland
Keywords

mallintaminen, [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, /dk/atira/pure/core/keywords/nachhaltigkeitswissenschaft; name=Sustainability Science, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH], catch crops, catch crop Intermediate, Ympäristönsuojelu, Model ensemble, 630, Model ensembles; Crop simulation models; Catch crop; Intermediate Crop; Treatment; Multi-year, crop Treatment, /dk/atira/pure/subjectarea/asjc/1100/1111; name=Soil Science, model ensemble, catch crop, Crop simulation models, /dk/atira/pure/sustainabledevelopmentgoals/climate_action; name=SDG 13 - Climate Action, /dk/atira/pure/subjectarea/asjc/1100/1102; name=Agronomy and Crop Science, /dk/atira/pure/subjectarea/asjc/1100/1110; name=Plant Science, maaperä, [SDV.SA] Life Sciences [q-bio]/Agricultural sciences, multi-year, treatment, Catch crop, ddc:550, ta4111, simulointimallit, Intermediate crop, kasvinviljely, [INFO.INFO-OH] Computer Science [cs]/Other [cs.OH], Treatment, Multi-year, intermediate crop, käsittely, Catch crop; Crop simulation models; Intermediate crop; Model ensemble; Multi-year; Treatment; Agronomy and Crop Science; Plant Science; Soil Science, Kasvintuotanto, crop simulation models

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    132
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
132
Top 1%
Top 10%
Top 1%
Green