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

Author

Listed:
  • Chuang Zhao

    (Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University)

  • Shilong Piao

    (Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University
    Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences
    Chinese Academy of Sciences Center for Excellence in Tibetan Plateau Earth Science, Chinese Academy of Sciences)

  • Yao Huang

    (State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences)

  • Xuhui Wang

    (Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University)

  • Philippe Ciais

    (LSCE, UMR CEA-CNRS, Bat. 709, CE, L'Orme des Merisiers)

  • Mengtian Huang

    (Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University)

  • Zhenzhong Zeng

    (Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University)

  • Shushi Peng

    (Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University)

Abstract

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 (SY,T, yield change per °C) from field warming experiments and 102 SY,T estimates from local process-based and statistical models. The average SY,T from field warming experiments, local process-based models and statistical models is −0.7±7.8(±s.d.)% per °C, −5.7±6.5% per °C and 0.4±4.4% per °C, respectively. Moreover, SY,T is different across regions and warming experiments indicate positive SY,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 SY,T deduced from warming observations. These results from local manipulative experiments could be used to improve crop models in the future.

Suggested Citation

  • Chuang Zhao & Shilong Piao & Yao Huang & Xuhui Wang & Philippe Ciais & Mengtian Huang & Zhenzhong Zeng & Shushi Peng, 2016. "Field warming experiments shed light on the wheat yield response to temperature in China," Nature Communications, Nature, vol. 7(1), pages 1-8, December.
  • Handle: RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms13530
    DOI: 10.1038/ncomms13530
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    Cited by:

    1. Yan, Zongzheng & Zhang, Xiying & Rashid, Muhammad Adil & Li, Hongjun & Jing, Haichun & Hochman, Zvi, 2020. "Assessment of the sustainability of different cropping systems under three irrigation strategies in the North China Plain under climate change," Agricultural Systems, Elsevier, vol. 178(C).
    2. Keyvan Malek & Patrick Reed & Jennifer Adam & Tina Karimi & Michael Brady, 2020. "Water rights shape crop yield and revenue volatility tradeoffs for adaptation in snow dependent systems," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    3. Kim, Sumin & Kim, Sojung, 2023. "Optimization of the design of an agrophotovoltaic system in future climate conditions in South Korea," Renewable Energy, Elsevier, vol. 206(C), pages 928-938.
    4. Sohail Abbas & Zulfiqar Ali Mayo, 2021. "Impact of temperature and rainfall on rice production in Punjab, Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(2), pages 1706-1728, February.
    5. Qiao, Shengchao & Harrison, Sandy P. & Prentice, I. Colin & Wang, Han, 2023. "Optimality-based modelling of wheat sowing dates globally," Agricultural Systems, Elsevier, vol. 206(C).
    6. Sjulgård, Hanna & Keller, Thomas & Garland, Gina & Colombi, Tino, 2023. "Relationships between weather and yield anomalies vary with crop type and latitude in Sweden," Agricultural Systems, Elsevier, vol. 211(C).

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