Field warming experiments shed light on the wheat yield response to temperature in China

被引:84
作者
Zhao, Chuang [1 ]
Piao, Shilong [1 ,2 ,3 ]
Huang, Yao [4 ]
Wang, Xuhui [1 ]
Ciais, Philippe [5 ]
Huang, Mengtian [1 ]
Zeng, Zhenzhong [1 ]
Peng, Shushi [1 ]
机构
[1] Peking Univ, Coll Urban & Environm Sci, Sino French Inst Earth Syst Sci, Beijing 100871, Peoples R China
[2] Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, Beijing 100085, Peoples R China
[3] Chinese Acad Sci, Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100085, Peoples R China
[4] Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
[5] CEA, CNRS, UMR, LSCE,CE, Bat 709, F-91191 Gif Sur Yvette, France
基金
中国国家自然科学基金;
关键词
CLIMATE-CHANGE; WINTER-WHEAT; CROP YIELD; RISING CO2; METAANALYSIS; GROWTH; PRODUCTIVITY; IMPACT; SENSITIVITY; ECOSYSTEM;
D O I
10.1038/ncomms13530
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Wheat growth is sensitive to temperature, but the effect of future warming on yield is uncertain. Here, focusing on China, we compiled 46 observations of the sensitivity of wheat yield to temperature change (S-Y,S-T, yield change per degrees C) from field warming experiments and 102 S-Y,S-T estimates from local process-based and statistical models. The average S-Y,S-T from field warming experiments, local process-based models and statistical models is -0.7 +/- 7.8(+/- s. d.)% per degrees C, -5.7 +/- 6.5% per degrees C and 0.4 +/- 4.4% per degrees C, respectively. Moreover, SY, T is different across regions and warming experiments indicate positive S-Y,S-T values in regions where growing-season mean temperature is low, and water supply is not limiting, and negative values elsewhere. Gridded crop model simulations from the Inter-Sectoral Impact Model Intercomparison Project appear to capture the spatial pattern of S-Y,S-T deduced from warming observations. These results from local manipulative experiments could be used to improve crop models in the future.
引用
收藏
页数:8
相关论文
共 42 条
[1]   Rice production in a changing climate: a meta-analysis of responses to elevated carbon dioxide and elevated ozone concentration [J].
Ainsworth, Elizabeth A. .
GLOBAL CHANGE BIOLOGY, 2008, 14 (07) :1642-1650
[2]  
Allen R. G., 1998, FAO Irrigation and Drainage Paper
[3]   Appropriate experimental ecosystem warming methods by ecosystem, objective, and practicality [J].
Aronson, Emma L. ;
McNulty, Steven G. .
AGRICULTURAL AND FOREST METEOROLOGY, 2009, 149 (11) :1791-1799
[4]  
Asseng S, 2015, NAT CLIM CHANGE, V5, P143, DOI [10.1038/nclimate2470, 10.1038/NCLIMATE2470]
[5]  
Asseng S, 2013, NAT CLIM CHANGE, V3, P827, DOI [10.1038/nclimate1916, 10.1038/NCLIMATE1916]
[6]   The impact of temperature variability on wheat yields [J].
Asseng, Senthold ;
Foster, Ian ;
Turner, Neil C. .
GLOBAL CHANGE BIOLOGY, 2011, 17 (02) :997-1012
[7]   Yield and partitioning in crops of contrasting cultivars of winter wheat in response to CO2 and temperature in field studies using temperature gradient tunnels [J].
Batts, GR ;
Ellis, RH ;
Morison, JIL ;
Nkemka, PN ;
Gregory, PJ ;
Hadley, P .
JOURNAL OF AGRICULTURAL SCIENCE, 1998, 130 :17-27
[8]  
Challinor AJ, 2014, NAT CLIM CHANGE, V4, P287, DOI [10.1038/NCLIMATE2153, 10.1038/nclimate2153]
[9]   Improving land surface temperature modeling for dry land of China [J].
Chen, Yingying ;
Yang, Kun ;
He, Jie ;
Qin, Jun ;
Shi, Jiancheng ;
Du, Jinyang ;
He, Qing .
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2011, 116
[10]   A meta-analysis of elevated CO2 effects on woody plant mass, form, and physiology [J].
Curtis, PS ;
Wang, XZ .
OECOLOGIA, 1998, 113 (03) :299-313