A multi-model analysis of teleconnected crop  yield variability in a range of cropping systems

Heino, Matias; Guillaume, Joseph H. A.; Müller, Christoph; Iizumi, Toshichika; Kummu, Matti

doi:https://doi.org/10.5194/esd-11-113-2020

Articles | Volume 11, issue 1

https://doi.org/10.5194/esd-11-113-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/esd-11-113-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 1

Research article

| Highlight paper

|

11 Feb 2020

Research article | Highlight paper |

| 11 Feb 2020

A multi-model analysis of teleconnected crop yield variability in a range of cropping systems

Matias Heino, Joseph H. A. Guillaume, Christoph Müller, Toshichika Iizumi, and Matti Kummu

Supplement

https://doi.org/10.5194/esd-11-113-2020-supplement

Data sets

Crops and oscillations analysis scripts M. Heino https://github.com/matheino/crops_and_oscillations

Model code and software

Global Gridded Crop Model Intercomparison (GGCMI) Project Center for Robust Decision-making on Climate and Energy Policy http://www.rdcep.org/research-projects/ggcmi

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Short summary

In this study, we analyse the impacts of three major climate oscillations on global crop production. Our results show that maize, rice, soybean, and wheat yields are influenced by climate oscillations to a wide extent and in several important crop-producing regions. We observe larger impacts if crops are rainfed or fully fertilized, while irrigation tends to mitigate the impacts. These results can potentially help to increase the resilience of the global food system to climate-related shocks.