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

Climate oscillations are periodically fluctuating oceanic and atmospheric phenomena, which are related to variations in weather patterns and crop yields worldwide. In terms of crop production, the most widespread impacts have been observed for the El Niño Southern Oscillation (ENSO), which has been...

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Main Authors: Heino, Matias, Guillaume, Joseph H. A., Müller, Christoph, Iizumi, Toshichika, Kummu, Matti
Format: Text
Language:English
Published: 2019
Subjects:
Online Access:https://doi.org/10.5194/esd-2019-8
https://www.earth-syst-dynam-discuss.net/esd-2019-8/
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spelling ftcopernicus:oai:publications.copernicus.org:esdd74543 2023-05-15T17:34:43+02:00 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 2019-03-06 application/pdf https://doi.org/10.5194/esd-2019-8 https://www.earth-syst-dynam-discuss.net/esd-2019-8/ eng eng doi:10.5194/esd-2019-8 https://www.earth-syst-dynam-discuss.net/esd-2019-8/ eISSN: 2190-4987 Text 2019 ftcopernicus https://doi.org/10.5194/esd-2019-8 2019-12-24T09:49:25Z Climate oscillations are periodically fluctuating oceanic and atmospheric phenomena, which are related to variations in weather patterns and crop yields worldwide. In terms of crop production, the most widespread impacts have been observed for the El Niño Southern Oscillation (ENSO), which has been found to impact crop yields in all continents that produce crops, while two other climate oscillations – the Indian Ocean Dipole (IOD) and the North Atlantic Oscillation (NAO) – have been shown to impact crop production especially in Australia and Europe, respectively. In this study, we analyse the impacts of ENSO, IOD and NAO on the growing conditions of maize, rice, soybean and wheat at the global scale, by utilizing crop yield data from an ensemble of global gridded crop models simulated for a range of crop management scenarios. Our results show that simulated crop yield variability is correlated to climate oscillations to a wide extent (up to almost half of all maize and wheat harvested areas for ENSO) and in several important crop producing areas, e.g. in North America (ENSO, wheat), Australia (IOD & ENSO, wheat) and northern South America (ENSO, soybean). Further, our analyses show that higher sensitivity to these oscillations can be observed for rainfed, and fully fertilized scenarios, while the sensitivity tends to be lower if crops are fully irrigated. Since, the development of ENSO, IOD and NAO can be reliably forecasted in advance, a better understanding about the relationship between crop production and these climate oscillations can improve the resilience of the global food system to climate related shocks. Text North Atlantic North Atlantic oscillation Copernicus Publications: E-Journals Indian
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description Climate oscillations are periodically fluctuating oceanic and atmospheric phenomena, which are related to variations in weather patterns and crop yields worldwide. In terms of crop production, the most widespread impacts have been observed for the El Niño Southern Oscillation (ENSO), which has been found to impact crop yields in all continents that produce crops, while two other climate oscillations – the Indian Ocean Dipole (IOD) and the North Atlantic Oscillation (NAO) – have been shown to impact crop production especially in Australia and Europe, respectively. In this study, we analyse the impacts of ENSO, IOD and NAO on the growing conditions of maize, rice, soybean and wheat at the global scale, by utilizing crop yield data from an ensemble of global gridded crop models simulated for a range of crop management scenarios. Our results show that simulated crop yield variability is correlated to climate oscillations to a wide extent (up to almost half of all maize and wheat harvested areas for ENSO) and in several important crop producing areas, e.g. in North America (ENSO, wheat), Australia (IOD & ENSO, wheat) and northern South America (ENSO, soybean). Further, our analyses show that higher sensitivity to these oscillations can be observed for rainfed, and fully fertilized scenarios, while the sensitivity tends to be lower if crops are fully irrigated. Since, the development of ENSO, IOD and NAO can be reliably forecasted in advance, a better understanding about the relationship between crop production and these climate oscillations can improve the resilience of the global food system to climate related shocks.
format Text
author Heino, Matias
Guillaume, Joseph H. A.
Müller, Christoph
Iizumi, Toshichika
Kummu, Matti
spellingShingle Heino, Matias
Guillaume, Joseph H. A.
Müller, Christoph
Iizumi, Toshichika
Kummu, Matti
A multi-model analysis of teleconnected crop yield variability in a range of cropping systems
author_facet Heino, Matias
Guillaume, Joseph H. A.
Müller, Christoph
Iizumi, Toshichika
Kummu, Matti
author_sort Heino, Matias
title A multi-model analysis of teleconnected crop yield variability in a range of cropping systems
title_short A multi-model analysis of teleconnected crop yield variability in a range of cropping systems
title_full A multi-model analysis of teleconnected crop yield variability in a range of cropping systems
title_fullStr A multi-model analysis of teleconnected crop yield variability in a range of cropping systems
title_full_unstemmed A multi-model analysis of teleconnected crop yield variability in a range of cropping systems
title_sort multi-model analysis of teleconnected crop yield variability in a range of cropping systems
publishDate 2019
url https://doi.org/10.5194/esd-2019-8
https://www.earth-syst-dynam-discuss.net/esd-2019-8/
geographic Indian
geographic_facet Indian
genre North Atlantic
North Atlantic oscillation
genre_facet North Atlantic
North Atlantic oscillation
op_source eISSN: 2190-4987
op_relation doi:10.5194/esd-2019-8
https://www.earth-syst-dynam-discuss.net/esd-2019-8/
op_doi https://doi.org/10.5194/esd-2019-8
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