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2016
- ISIDORE Id: 10670/1.34b552...
- hal: hal-02636765
- doi: 10.1371/journal.pone.0151782
- PRODINRA: 353842
- PUBMED: 27055028
- WOS: 000373608000007
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info:eu-repo/semantics/altIdentifier/doi/10.1371/journal.pone.0151782
Ce document est lié à :
info:eu-repo/semantics/altIdentifier/pmid/27055028
http://creativecommons.org/licenses/by/ , info:eu-repo/semantics/OpenAccess
Mots-clés
systems winter-wheat data resolution scale water variability nitrogen dynamics crop models calibration -bio]Sujets proches
Soil Mould, Vegetable Vegetable mold Earth (Soils) Mold, VegetableCiter ce document
Holger Hoffmann et al., « Impact of spatial soil and climate input data aggregation on regional yield simulations », HAL SHS (Sciences de l’Homme et de la Société), ID : 10.1371/journal.pone.0151782
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We show the error in water-limited yields simulated by crop models which is associated with spatially aggregated soil and climate input data. Crop simulations at large scales (regional, national, continental) frequently use input data of low resolution. Therefore, climate and soil data are often generated via averaging and sampling by area majority. This may bias simulated yields at large scales, varying largely across models. Thus, we evaluated the error associated with spatially aggregated soil and climate data for 14 crop models. Yields of winter wheat and silage maize were simulated under water-limited production conditions. We calculated this error from crop yields simulated at spatial resolutions from 1 to 100 km for the state of North Rhine-Westphalia, Germany. Most models showed yields biased by
