Literature DB >> 28247124

Projective analysis of staple food crop productivity in adaptation to future climate change in China.

Qing Zhang1, Wen Zhang2, Tingting Li1, Wenjuan Sun3, Yongqiang Yu1, Guocheng Wang1.   

Abstract

Climate change continually affects our capabilities to feed the increasing population. Rising temperatures have the potential to shorten the crop growth duration and therefore reduce crop yields. In the past decades, China has successfully improved crop cultivars to stabilize, and even lengthen, the crop growth duration to make use of increasing heat resources. However, because of the complex cropping systems in the different regions of China, the possibility and the effectiveness of regulating crop growth duration to reduce the negative impacts of future climate change remain questionable. Here, we performed a projective analysis of the staple food crop productivity in double-rice, wheat-rice, wheat-maize, single-rice, and single-maize cropping systems in China using modeling approaches. The results indicated that from the present to the 2040s, the warming climate would shorten the growth duration of the current rice, wheat, and maize cultivars by 2-24, 11-13, and 9-29 days, respectively. The most significant shortening of the crop growth duration would be in Northeast China, where single-rice and single-maize cropping dominates the croplands. The shortened crop growth duration would consequently reduce crop productivity. The most significant decreases would be 27-31, 6-20, and 7-22% for the late crop in the double-rice rotation, wheat in the winter wheat-rice rotation, and single maize, respectively. However, our projection analysis also showed that the negative effects of the warming climate could be compensated for by stabilizing the growth duration of the crops via improvement in crop cultivars. In this case, the productivity of rice, wheat, and maize in the 2040s would increase by 4-16, 31-38, and 11-12%, respectively. Our modeling results implied that the possibility of securing future food production exists by adopting proper adaptation options in China.

Entities:  

Keywords:  Adaptation; Climate change; Crop productivity; Model projection

Mesh:

Year:  2017        PMID: 28247124     DOI: 10.1007/s00484-017-1322-4

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  9 in total

1.  The impacts of climate change on water resources and agriculture in China.

Authors:  Shilong Piao; Philippe Ciais; Yao Huang; Zehao Shen; Shushi Peng; Junsheng Li; Liping Zhou; Hongyan Liu; Yuecun Ma; Yihui Ding; Pierre Friedlingstein; Chunzhen Liu; Kun Tan; Yongqiang Yu; Tianyi Zhang; Jingyun Fang
Journal:  Nature       Date:  2010-09-02       Impact factor: 49.962

2.  Differential metabolic response of cultured rice (Oryza sativa) cells exposed to high- and low-temperature stress.

Authors:  Chumithri Gayani Gammulla; Dana Pascovici; Brian J Atwell; Paul A Haynes
Journal:  Proteomics       Date:  2010-08       Impact factor: 3.984

3.  Influence of extreme weather disasters on global crop production.

Authors:  Corey Lesk; Pedram Rowhani; Navin Ramankutty
Journal:  Nature       Date:  2016-01-07       Impact factor: 49.962

Review 4.  Climate change impacts on crop yield and quality with CO2 fertilization in China.

Authors:  Lin Erda; Xiong Wei; Ju Hui; Xu Yinlong; Li Yue; Bai Liping; Xie Liyong
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-11-29       Impact factor: 6.237

5.  Net primary production of Chinese croplands from 1950 to 1999.

Authors:  Yao Huang; Wen Zhang; Wenjuan Sun; Xunhua Zheng
Journal:  Ecol Appl       Date:  2007-04       Impact factor: 4.657

6.  Prioritizing climate change adaptation needs for food security in 2030.

Authors:  David B Lobell; Marshall B Burke; Claudia Tebaldi; Michael D Mastrandrea; Walter P Falcon; Rosamond L Naylor
Journal:  Science       Date:  2008-02-01       Impact factor: 47.728

7.  Reducing environmental risk by improving N management in intensive Chinese agricultural systems.

Authors:  Xiao-Tang Ju; Guang-Xi Xing; Xin-Ping Chen; Shao-Lin Zhang; Li-Juan Zhang; Xue-Jun Liu; Zhen-Ling Cui; Bin Yin; Peter Christie; Zhao-Liang Zhu; Fu-Suo Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-17       Impact factor: 11.205

8.  Climate warming over the past three decades has shortened rice growth duration in China and cultivar shifts have further accelerated the process for late rice.

Authors:  Tianyi Zhang; Yao Huang; Xiaoguang Yang
Journal:  Glob Chang Biol       Date:  2012-11-09       Impact factor: 10.863

9.  CERES-Maize model-based simulation of climate change impacts on maize yields and potential adaptive measures in Heilongjiang Province, China.

Authors:  Yumei Lin; Wenxiang Wu; Quansheng Ge
Journal:  J Sci Food Agric       Date:  2014-12-19       Impact factor: 3.638

  9 in total
  2 in total

Review 1.  Supporting sustainability initiatives through biometeorology education and training.

Authors:  Michael J Allen; Jennifer Vanos; David M Hondula; Daniel J Vecellio; David Knight; Hamed Mehdipoor; Rebekah Lucas; Chris Fuhrmann; Hanna Lokys; Angela Lees; Sheila Tavares Nascimento; Andrew C W Leung; David R Perkins
Journal:  Int J Biometeorol       Date:  2017-07-19       Impact factor: 3.787

2.  To what extent is climate change adaptation a novel challenge for agricultural modellers?

Authors:  R P Kipling; C F E Topp; A Bannink; D J Bartley; I Blanco-Penedo; R Cortignani; A Del Prado; G Dono; P Faverdin; A-I Graux; N J Hutchings; L Lauwers; Ş Özkan Gülzari; P Reidsma; S Rolinski; M Ruiz-Ramos; D L Sandars; R Sándor; M Schönhart; G Seddaiu; J van Middelkoop; S Shrestha; I Weindl; V Eory
Journal:  Environ Model Softw       Date:  2019-10       Impact factor: 5.288

  2 in total

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