TY - JOUR
T1 - Negative extreme events in gross primary productivity and their drivers in China during the past three decades
AU - Chen, Weizhe
AU - Zhu, Dan
AU - Huang, Chunju
AU - Ciais, Philippe
AU - Yao, Yitong
AU - Friedlingstein, Pierre
AU - Sitch, Stephen
AU - Haverd, Vanessa
AU - Jain, Atul K.
AU - Kato, Etsushi
AU - Kautz, Markus
AU - Lienert, Sebastian
AU - Lombardozzi, Danica
AU - Poulter, Benjamin
AU - Tian, Hanqin
AU - Vuichard, Nicolas
AU - Walker, Anthony P.
AU - Zeng, Ning
N1 - Funding Information:
This study was supported by the Natural Science Foundation for Distinguished Young Scholars of Hubei Province of China ( 2016CFA051 ), the National Natural Science Foundation of China (No. 41772029 and 41322013 ), the 111 Project (No. B14031 and B08030). W. Chen acknowledges support from the China Scholarship Council (No. 201806410044 ) for Ph.D. work at LSCE, France. S. Lienert acknowledges support from the Swiss National Science Foundation (No. 20020_172476 ).
Publisher Copyright:
© 2019 Elsevier B.V.
PY - 2019/9/15
Y1 - 2019/9/15
N2 - 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. 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.
AB - 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. 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.
KW - China
KW - Climate change
KW - Extreme events
KW - Gross primary production
KW - Power law distribution
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U2 - 10.1016/j.agrformet.2019.05.002
DO - 10.1016/j.agrformet.2019.05.002
M3 - Article
AN - SCOPUS:85065846369
SN - 0168-1923
VL - 275
SP - 47
EP - 58
JO - Agricultural and Forest Meteorology
JF - Agricultural and Forest Meteorology
ER -