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How much yield loss has been caused by extreme temperature stress to the irrigated rice production in China?

Author

Listed:
  • Pin Wang

    (Beijing Normal University)

  • Zhao Zhang

    (Beijing Normal University)

  • Yi Chen

    (Beijing Normal University)

  • Xing Wei

    (Beijing Normal University)

  • Boyan Feng

    (Beijing Normal University)

  • Fulu Tao

    (Chinese Academy of Sciences)

Abstract

Extreme temperature stress (ETS) is recognized as an important threat to the food supply in China. However, how much yield loss caused by ETS (YLETS) to the irrigated rice production still remains unclear. In this study, we provided a prototype for YLETS assessments by using a process-based crop model (MCWLA-Rice) with the ETS impacts explicitly parameterized, to help understand the spatio-temporal patterns of YLETS and the mechanism underlying the ETS impacts at a 0.5° × 0.5° grid scale in the major irrigated rice planting areas across China during 1981–2010. On the basis of the optimal 30 sets of parameters, the ensemble simulations indicated the following: Regions I (northeastern China) and III2 (the mid-lower reaches of the Yangtze River) were considered to be the most vulnerable areas to ETS, with the medium YLETS of 18.4 and 12.9 %, respectively. Furthermore, large YLETS values (>10 %) were found in some portions of Region II (the Yunnan-Guizhou Plateau), western Region III1 (the Sichuan Basin), the middle of Region IV_ER (southern China cultivated by early rice), and the west and southeast of Region IV_LR (southern China cultivated by late rice). Over the past several decades, a significant decrease in YLETS was detected in most of Region I and in northern Region IV_LR (with the medians of −0.53 and −0.28 % year−1, respectively). However, a significant increase was found in most of Region III (including III1 and III2) and in Region IV_ER, particularly in the last decade (2001–2010). Overall, reduced cold stress has improved the conditions for irrigated rice production across large parts of China. Nevertheless, to improve the accuracy of YLETS estimations, more accurate yield loss functions and multimodel ensembles should be developed.

Suggested Citation

  • Pin Wang & Zhao Zhang & Yi Chen & Xing Wei & Boyan Feng & Fulu Tao, 2016. "How much yield loss has been caused by extreme temperature stress to the irrigated rice production in China?," Climatic Change, Springer, vol. 134(4), pages 635-650, February.
  • Handle: RePEc:spr:climat:v:134:y:2016:i:4:d:10.1007_s10584-015-1545-5
    DOI: 10.1007/s10584-015-1545-5
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    References listed on IDEAS

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    1. M. Moriondo & C. Giannakopoulos & M. Bindi, 2011. "Climate change impact assessment: the role of climate extremes in crop yield simulation," Climatic Change, Springer, vol. 104(3), pages 679-701, February.
    2. David B. Lobell & Adam Sibley & J. Ivan Ortiz-Monasterio, 2012. "Extreme heat effects on wheat senescence in India," Nature Climate Change, Nature, vol. 2(3), pages 186-189, March.
    3. Ethan E. Butler & Peter Huybers, 2013. "Adaptation of US maize to temperature variations," Nature Climate Change, Nature, vol. 3(1), pages 68-72, January.
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    Cited by:

    1. Zhang, Jing & Chen, Yi & Zhang, Zhao, 2020. "A remote sensing-based scheme to improve regional crop model calibration at sub-model component level," Agricultural Systems, Elsevier, vol. 181(C).
    2. João Marcelo Pereira Ribeiro & Issa Ibrahim Berchin & Samara da Silva Neiva & Thiago Soares & Celso Lopes de Albuquerque Junior & André Borchardt Deggau & Wellyngton Silva de Amorim & Samuel Borges Ba, 2021. "Food stability model: A framework to support decision‐making in a context of climate change," Sustainable Development, John Wiley & Sons, Ltd., vol. 29(1), pages 13-24, January.
    3. Pin Wang & Tangao Hu & Feng Kong & Dengrong Zhang, 2019. "Changes in the spatial pattern of rice exposure to heat stress in China over recent decades," Climatic Change, Springer, vol. 154(1), pages 229-240, May.

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