Negative extreme events in gross primary productivity and their drivers in China during the past three decades

Chen, Weizhe; Zhu, Dan; Huang, Chunju; Ciais, Philippe; Yao, Yitong; Friedlingstein, Pierre; Sitch, Stephen; Haverd, Vanessa; Jain, Atul K.; Kato, Etsushi; Kautz, Markus; Lienert, Sebastian; Lombardozzi, Danica; Poulter, Benjamin; Tian, Hanqin; Vuichard, Nicolas; Walker, Anthony P.; Zeng, Ning

doi:10.1016/j.agrformet.2019.05.002

Title: Negative extreme events in gross primary productivity and their drivers in China during the past three decades

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Abstract

Climate extremes have remarkable impacts on ecosystems and are expected to increase with future global warming. However, only few studies have focused on the ecological extreme events and their drivers in China. In this study, we carried out an analysis of negative extreme events in gross primary productivity (GPP) in China and the sub-regions during 1982–2015, using monthly GPP simulated by 12 process-based models (TRENDYv6) and an observation-based model (Yao-GPP). Extremes were defined as the negative 5th percentile of GPP anomalies, which were further merged into individual extreme events using a three-dimensional contiguous algorithm. Spatio-temporal patterns of negative GPP anomalies were analyzed by taking the 1000 largest extreme events into consideration. Results showed that the effects of extreme events decreased annual GPP by 2.8% (i.e. 208 TgC year^–1) in TRENDY models and 2.3% (i.e. 151 TgC year^–1) in Yao-GPP. Hotspots of extreme GPP deficits were mainly observed in North China (–53 gC m^–2 year^–1) in TRENDY models and Northeast China (–42 gC m^–2 year^–1) in Yao-GPP. For China as a whole, attribution analyses suggested that extreme low precipitation was associated with 40%–50% of extreme negative GPP events. Most events in northern and western China could be explained by meteorological droughtsmore »« less

Authors:

^[1];

^[2];

^[3]; Ciais, Philippe ^[2]; Yao, Yitong ^[4]; Friedlingstein, Pierre ^[5]; Sitch, Stephen ^[5]; Haverd, Vanessa ^[6]; Jain, Atul K. ^[7];

^[8]; Kautz, Markus ^[9]; Lienert, Sebastian ^[10]; Lombardozzi, Danica ^[11]; Poulter, Benjamin ^[12]; Tian, Hanqin ^[13]; Vuichard, Nicolas ^[2];

^[14]; Zeng, Ning ^[15]

China Univ. of Geosciences, Wuhan (China); Univ. Paris-Saclay, Gif-sur-Yvette (France)
Univ. Paris-Saclay, Gif-sur-Yvette (France)
China Univ. of Geosciences, Wuhan (China)
Peking Univ., Beijing (China)
Univ. of Exeter, Exeter (United Kingdom)
CSIRO Oceans and Atmosphere, Canberra (Australia)
Univ. of Illinois, Urbana, IL (United States)
Inst. of Applied Energy (IAE), Tokyo (Japan)
Forest Research Institute Baden-Württemberg, Freiburg (Germany)
Univ. of Bern, Bern (Switzerland)
National Center for Atmospheric Research, Boulder, CO (United States)
NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
Auburn Univ., Auburn, AL (United States)
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Univ. of Maryland, College Park, MD (United States)

Publication Date:: Tue May 21 00:00:00 EDT 2019

Research Org.:: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Sponsoring Org.:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

OSTI Identifier:: 1558492

Grant/Contract Number:: AC05-00OR22725

Resource Type:: Accepted Manuscript

Journal Name:: Agricultural and Forest Meteorology

Additional Journal Information:: Journal Volume: 275; Journal Issue: C; Journal ID: ISSN 0168-1923

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 54 ENVIRONMENTAL SCIENCES; Climate change; Extreme events; Gross primary production; Power law distribution; China

Citation Formats


                    Chen, Weizhe, Zhu, Dan, Huang, Chunju, Ciais, Philippe, Yao, Yitong, Friedlingstein, Pierre, Sitch, Stephen, Haverd, Vanessa, Jain, Atul K., Kato, Etsushi, Kautz, Markus, Lienert, Sebastian, Lombardozzi, Danica, Poulter, Benjamin, Tian, Hanqin, Vuichard, Nicolas, Walker, Anthony P., and Zeng, Ning. Negative extreme events in gross primary productivity and their drivers in China during the past three decades.  United States: N. p., 2019. 
Web.  doi:10.1016/j.agrformet.2019.05.002.

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                    Chen, Weizhe, Zhu, Dan, Huang, Chunju, Ciais, Philippe, Yao, Yitong, Friedlingstein, Pierre, Sitch, Stephen, Haverd, Vanessa, Jain, Atul K., Kato, Etsushi, Kautz, Markus, Lienert, Sebastian, Lombardozzi, Danica, Poulter, Benjamin, Tian, Hanqin, Vuichard, Nicolas, Walker, Anthony P., & Zeng, Ning. Negative extreme events in gross primary productivity and their drivers in China during the past three decades.  United States.  https://doi.org/10.1016/j.agrformet.2019.05.002

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                    Chen, Weizhe, Zhu, Dan, Huang, Chunju, Ciais, Philippe, Yao, Yitong, Friedlingstein, Pierre, Sitch, Stephen, Haverd, Vanessa, Jain, Atul K., Kato, Etsushi, Kautz, Markus, Lienert, Sebastian, Lombardozzi, Danica, Poulter, Benjamin, Tian, Hanqin, Vuichard, Nicolas, Walker, Anthony P., and Zeng, Ning. Tue .  
"Negative extreme events in gross primary productivity and their drivers in China during the past three decades".  United States.  https://doi.org/10.1016/j.agrformet.2019.05.002.  https://www.osti.gov/servlets/purl/1558492.

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@article{osti_1558492,

  title        = {Negative extreme events in gross primary productivity and their drivers in China during the past three decades},

  author       = {Chen, Weizhe and Zhu, Dan and Huang, Chunju and Ciais, Philippe and Yao, Yitong and Friedlingstein, Pierre and Sitch, Stephen and Haverd, Vanessa and Jain, Atul K. and Kato, Etsushi and Kautz, Markus and Lienert, Sebastian and Lombardozzi, Danica and Poulter, Benjamin and Tian, Hanqin and Vuichard, Nicolas and Walker, Anthony P. and Zeng, Ning},

  abstractNote = {Climate extremes have remarkable impacts on ecosystems and are expected to increase with future global warming. However, only few studies have focused on the ecological extreme events and their drivers in China. In this study, we carried out an analysis of negative extreme events in gross primary productivity (GPP) in China and the sub-regions during 1982–2015, using monthly GPP simulated by 12 process-based models (TRENDYv6) and an observation-based model (Yao-GPP). Extremes were defined as the negative 5th percentile of GPP anomalies, which were further merged into individual extreme events using a three-dimensional contiguous algorithm. Spatio-temporal patterns of negative GPP anomalies were analyzed by taking the 1000 largest extreme events into consideration. Results showed that the effects of extreme events decreased annual GPP by 2.8% (i.e. 208 TgC year–1) in TRENDY models and 2.3% (i.e. 151 TgC year–1) in Yao-GPP. Hotspots of extreme GPP deficits were mainly observed in North China (–53 gC m–2 year–1) in TRENDY models and Northeast China (–42 gC m–2 year–1) in Yao-GPP. For China as a whole, attribution analyses suggested that extreme low precipitation was associated with 40%–50% of extreme negative GPP events. Most events in northern and western China could be explained by meteorological droughts (i.e. low precipitation) while GPP extreme events in southern China were more associated with temperature extremes, in particular with cold spells. GPP was revealed to be much more sensitive to heat/drought than to cold/wet extreme events. Here, combined with projected changes in climate extremes in China, GPP negative anomalies caused by drought events in northern China and by temperature extremes in southern China might be more prominent in the future.},

  doi          = {10.1016/j.agrformet.2019.05.002},

  journal      = {Agricultural and Forest Meteorology},

  number       = C,

  volume       = 275,

  place        = {United States},

  year         = {Tue May 21 00:00:00 EDT 2019},

  month        = {Tue May 21 00:00:00 EDT 2019}

}

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