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Similar estimates of temperature impacts on global wheat yield by three independent methods

Authors: Jørgen E. Olesen; Joshua Elliott; Joshua Elliott; Christian Folberth; Christian Folberth; Kurt Christian Kersebaum; Garry O'Leary; +66 Authors

Similar estimates of temperature impacts on global wheat yield by three independent methods

Abstract

The potential impact of global temperature change on global crop yield has recently been assessed with different methods. Here we show that grid-based and point-based simulations and statistical regressions (from historic records), without deliberate adaptation or CO 2 fertilization effects, produce similar estimates of temperature impact on wheat yields at global and national scales. With a 1 °C global temperature increase, global wheat yield is projected to decline between 4.1% and 6.4%. Projected relative temperature impacts from different methods were similar for major wheat-producing countries China, India, USA and France, but less so for Russia. Point-based and grid-based simulations, and to some extent the statistical regressions, were consistent in projecting that warmer regions are likely to suffer more yield loss with increasing temperature than cooler regions. By forming a multi-method ensemble, it was possible to quantify 'method uncertainty' in addition to model uncertainty. This significantly improves confidence in estimates of climate impacts on global food security.

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

[SDV.SA]Life Sciences [q-bio]/Agricultural sciences, [ SDV.BV ] Life Sciences [q-bio]/Vegetal Biology, régression statistique, 550, impact sur le rendement, klim, Klimaatverandering, incertitude, agricultura, wheat, [SDV.BV] Life Sciences [q-bio]/Vegetal Biology, uncertainty, [ SDV.SA ] Life Sciences [q-bio]/Agricultural sciences, agriculture, changement climatique, [SDV.SA] Life Sciences [q-bio]/Agricultural sciences, Leerstoelgroep Plantaardige productiesystemen, Alterra - Klimaatverandering en adaptief land- en watermanagement, statistical regression, ta4111, simulation, PE&RC, [ SDE.MCG ] Environmental Sciences/Global Changes, climate change, sécurité alimentaire, Plant Production Systems, modèle de récolte, cambio climático, rendimiento, Alterra - Climate change and adaptive land and water management, Climate Change and Adaptive Land and Water Management, 330, [SDE.MCG]Environmental Sciences/Global Changes, comparaison de modèles, Climate Change, yields, 333, Klimaatverandering en adaptief land- en watermanagement, Earth System Science, methods, statistical analysis, blé, température, métodos estadísticos, [SDV.BV]Life Sciences [q-bio]/Vegetal Biology, Life Science, réchauffement climatique, global change, info:eu-repo/classification/ddc/550, WIMEK, ddc:550, wheats, temperature, crop yield, yield, Climate Resilience, Earth sciences, [SDE.MCG] Environmental Sciences/Global Changes, Klimaatbestendigheid, Plantaardige Productiesystemen, Leerstoelgroep Aardsysteemkunde

  • BIP!
    Impact byBIP!
    citations
    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).
    406
    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 0.1%
    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 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 0.1%
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citations
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!
406
Top 0.1%
Top 1%
Top 0.1%
Green
bronze