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Thomas Pugh

Universitetslektor

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

Författare

  • Bing Liu
  • Senthold Asseng
  • Frank Ewert
  • Joshua Elliott
  • David B. Lobell
  • Pierre Martre
  • Alex C. Ruane
  • Daniel Wallach
  • James W. Jones
  • Cynthia Rosenzweig
  • Pramod K. Aggarwal
  • Phillip D. Alderman
  • Jakarat Anothai
  • Bruno Basso
  • Christian Biernath
  • Davide Cammarano
  • Andy Challinor
  • Delphine Deryng
  • Giacomo De Sanctis
  • Jordi Doltra
  • Elias Fereres
  • Christian Folberth
  • Margarita Garcia-Vila
  • Sebastian Gayler
  • Gerrit Hoogenboom
  • Leslie A. Hunt
  • Roberto C. Izaurralde
  • Mohamed Jabloun
  • Curtis D. Jones
  • Kurt C. Kersebaum
  • Bruce A. Kimball
  • Ann Kristin Koehler
  • Soora Naresh Kumar
  • Claas Nendel
  • Garry J. O'Leary
  • Jørgen E. Olesen
  • Michael J. Ottman
  • Taru Palosuo
  • P. V.Vara Prasad
  • Eckart Priesack
  • Thomas A.M. Pugh
  • Matthew Reynolds
  • Ehsan E. Rezaei
  • Reimund P. Rötter
  • Erwin Schmid
  • Mikhail A. Semenov
  • Iurii Shcherbak
  • Elke Stehfest
  • Claudio O. Stöckle
  • Pierre Stratonovitch
  • Thilo Streck
  • Iwan Supit
  • Fulu Tao
  • Peter Thorburn
  • Katharina Waha
  • Gerard W. Wall
  • Enli Wang
  • Jeffrey W. White
  • Joost Wolf
  • Zhigan Zhao
  • Yan Zhu

Summary, in English

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.

Publiceringsår

2016-11-24

Språk

Engelska

Sidor

1130-1136

Publikation/Tidskrift/Serie

Nature Climate Change

Volym

6

Issue

12

Dokumenttyp

Artikel i tidskrift

Förlag

Nature Publishing Group

Ämne

  • Environmental Sciences

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 1758-678X