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• W2945473486 abstract "Elevated carbon-dioxide concentration [eCO2] is a key climate change factor affecting plant growth and yield. Conventionally, crop modeling work has evaluated the effect of climatic parameters on crop growth, without considering CO2. It is conjectured that a novel multimodal ensemble approach may improve the accuracy of modelled responses to eCO2. To demonstrate the applicability of a multimodel ensemble of crop models to simulation of eCO2, APSIM, CropSyst, DSSAT, EPIC and STICS were calibrated to observed data for crop phenology, biomass and yield. Significant variability in simulated biomass production was shown among the models particularly at dryland sites (44%) compared to the irrigated site (22%). Increased yield was observed for all models with the highest average yield at dryland site by EPIC (49%) and lowest under irrigated conditions (17%) by APSIM and CropSyst. For the ensemble, maximum yield was 45% for the dryland site and a minimum 22% at the irrigated site. We concluded from our study that process-based crop models have variability in the simulation of crop response to [eCO2] with greater difference under water-stressed conditions. We recommend the use of ensembles to improve accuracy in modeled responses to [eCO2]." @default.
• W2945473486 created "2019-05-29" @default.
• W2945473486 creator A5004317213 @default.
• W2945473486 creator A5011076435 @default.
• W2945473486 creator A5017877523 @default.
• W2945473486 creator A5061623244 @default.
• W2945473486 creator A5078811798 @default.
• W2945473486 creator A5088020355 @default.
• W2945473486 date "2019-05-24" @default.
• W2945473486 modified "2023-10-16" @default.
• W2945473486 title "Novel multimodel ensemble approach to evaluate the sole effect of elevated CO2 on winter wheat productivity" @default.
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