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The effects of spatiotemporal patterns of atmospheric CO2 concentration on terrestrial gross primary productivity estimation

Author

Listed:
  • Zhongyi Sun

    (Hainan University
    Hokkaido University)

  • Xiufeng Wang

    (Hokkaido University)

  • Haruhiko Yamamoto

    (Yamaguchi University)

  • Hiroshi Tani

    (Hokkaido University)

  • Tangzhe Nie

    (Northeast Agricultural University)

Abstract

A quantitative understanding of the global gross primary productivity (GPP) and its responses to increasing CO2 levels is critical for quantifying the feedbacks of ecosystems to climate change. This study applied the daily boreal ecosystem productivity simulator (BEPSd) model to estimate the global GPP from 2000 to 2015, compare the estimated GPP with flux tower measurements and other GPP products to verify the estimation accuracy, and analyze the CO2 fertilization effect and conducted a spatial analysis of the effects of the spatiotemporal distribution of the CO2 concentration on the estimation of the GPP. The results showed that the estimates could capture the magnitude, amplitude, distribution, and variation in the GPP well compared with the flux tower measurements and other GPP products. In general, the terrestrial GPP increased as the atmospheric CO2 concentrations increased; however, the CO2 fertilization effect varied based on time and location and was constrained by climatic conditions. The increases in the lower latitudes were more significant than those in the middle and higher latitudes, and seasonal variation characteristics were observed in the middle and higher latitudes. Not considering the CO2 fertilization effect could underestimate the global GPP and its trend, while not considering the spatiotemporal distribution of the CO2 concentration could overestimate the global annual GPP. These results increase our understanding of the variations in carbon flux under future climate change, especially under the conditions of a changing atmospheric CO2 concentration.

Suggested Citation

  • Zhongyi Sun & Xiufeng Wang & Haruhiko Yamamoto & Hiroshi Tani & Tangzhe Nie, 2020. "The effects of spatiotemporal patterns of atmospheric CO2 concentration on terrestrial gross primary productivity estimation," Climatic Change, Springer, vol. 163(2), pages 913-930, November.
  • Handle: RePEc:spr:climat:v:163:y:2020:i:2:d:10.1007_s10584-020-02903-2
    DOI: 10.1007/s10584-020-02903-2
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    References listed on IDEAS

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    1. Zhang, Sha & Zhang, Jiahua & Bai, Yun & Koju, Upama Ashish & Igbawua, Tertsea & Chang, Qing & Zhang, Da & Yao, Fengmei, 2018. "Evaluation and improvement of the daily boreal ecosystem productivity simulator in simulating gross primary productivity at 41 flux sites across Europe," Ecological Modelling, Elsevier, vol. 368(C), pages 205-232.
    2. Martin G. De Kauwe & Trevor F. Keenan & Belinda E. Medlyn & I. Colin Prentice & Cesar Terrer, 2016. "Satellite based estimates underestimate the effect of CO2 fertilization on net primary productivity," Nature Climate Change, Nature, vol. 6(10), pages 892-893, October.
    3. Li, Xiran & Zhu, Zaichun & Zeng, Hui & Piao, Shilong, 2016. "Estimation of gross primary production in China (1982–2010) with multiple ecosystem models," Ecological Modelling, Elsevier, vol. 324(C), pages 33-44.
    4. A. P. Ballantyne & C. B. Alden & J. B. Miller & P. P. Tans & J. W. C. White, 2012. "Increase in observed net carbon dioxide uptake by land and oceans during the past 50 years," Nature, Nature, vol. 488(7409), pages 70-72, August.
    5. Yang, Shihong & Xu, Junzeng & Liu, Xiaoyin & Zhang, Jiangang & Wang, Yijiang, 2016. "Variations of carbon dioxide exchange in paddy field ecosystem under water-saving irrigation in Southeast China," Agricultural Water Management, Elsevier, vol. 166(C), pages 42-52.
    6. Benjamin Poulter & David Frank & Philippe Ciais & Ranga B. Myneni & Niels Andela & Jian Bi & Gregoire Broquet & Josep G. Canadell & Frederic Chevallier & Yi Y. Liu & Steven W. Running & Stephen Sitch , 2014. "Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle," Nature, Nature, vol. 509(7502), pages 600-603, May.
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