Crop production losses associated with anthropogenic climate change for 1981-2010 compared with preindustrial levels-Reference-Cited by-同舟云学术

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Crop production losses associated with anthropogenic climate change for 1981-2010 compared with preindustrial levels

Published:2018-08-20 Issue:14 Volume:38 Page:5405-5417
ISSN:0899-8418
Container-title:International Journal of Climatology
language:en
Short-container-title:Int J Climatol

Author:

Iizumi Toshichika¹^ORCID,Shiogama Hideo²,Imada Yukiko³,Hanasaki Naota²,Takikawa Hiroki⁴,Nishimori Motoki¹

Affiliation:

1. Institute for Agro-Environmental Sciences; National Agriculture and Food Research Organization; Tsukuba Japan

2. Center for Global Environmental Research; National Institute for Environmental Studies; Tsukuba Japan

3. Climate Research Department, Meteorological Research Institute; Tsukuba Japan

4. Disaster Reduction and Environmental Engineering Department, Kozo Keikaku Engineering Inc; Tokyo Japan

Funder

Environmental Restoration and Conservation Agency

Ministry of Education, Culture, Sports, Science and Technology

Environment Research and Technology Development Fund (S-14) of the Environmental Restoration and Conservation Agency, Japan

SOUSEI programme sponsored by the Ministry of Education, Culture, Sports, Science and Technology of Japan (MEXT)

Publisher

Wiley

Subject

Atmospheric Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/joc.5818/fullpdf

Reference43 articles.

1. FACE-ing the facts: inconsistencies and interdependence among field, chamber and modeling studies of elevated [CO2] impacts on crop yield and food supply;Ainsworth;New Phytologist,2008

2. An analysis of methodological and spatial differences in global cropping systems models and maps;Anderson;Global Ecology and Biogeography,2015

3. Multivariate bias correction of climate model output: matching marginal distributions and intervariable dependence structure;Cannon;Journal of Climate,2016

4. Increased crop failure due to climate change: assessing adaptation options using models and socio-economic data for wheat in China;Challinor;Environmental Research Letters,2010

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