Article (Scientific journals)
Benchmarking carbon fluxes of the ISIMIP2a biome models
Chang, Jinfeng; Ciais, Philippe; Wang, Xuhui et al.
2017In Environmental Research Letters, 12, p. 045002
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Keywords :
ISIMIP2a; Biome; Net Biome Productivity; Net Primary Productivity
Abstract :
[en] The purpose of this study is to evaluate the eight ISIMIP2a biome models against independent estimates of long-term net carbon fluxes (i.e. Net Biome Productivity, NBP) over terrestrial ecosystems for the recent four decades (1971–2010). We evaluate modeled global NBP against 1) the updated global residual land sink (RLS) plus land use emissions (E LUC) from the Global Carbon Project (GCP), presented as R + L in this study by Le Quéré et al (2015), and 2) the land CO2 fluxes from two atmospheric inversion systems: Jena CarboScope s81_v3.8 and CAMS v15r2, referred to as F Jena and F CAMS respectively. The model ensemble-mean NBP (that includes seven models with land-use change) is higher than but within the uncertainty of R + L, while the simulated positive NBP trend over the last 30 yr is lower than that from R + L and from the two inversion systems. ISIMIP2a biome models well capture the interannual variation of global net terrestrial ecosystem carbon fluxes. Tropical NBP represents 31 ± 17% of global total NBP during the past decades, and the year-to-year variation of tropical NBP contributes most of the interannual variation of global NBP. According to the models, increasing Net Primary Productivity (NPP) was the main cause for the generally increasing NBP. Significant global NBP anomalies from the long-term mean between the two phases of El Niño Southern Oscillation (ENSO) events are simulated by all models (p < 0.05), which is consistent with the R + L estimate (p = 0.06), also mainly attributed to NPP anomalies, rather than to changes in heterotrophic respiration (Rh). The global NPP and NBP anomalies during ENSO events are dominated by their anomalies in tropical regions impacted by tropical climate variability. Multiple regressions between R + L, F Jena and F CAMS interannual variations and tropical climate variations reveal a significant negative response of global net terrestrial ecosystem carbon fluxes to tropical mean annual temperature variation, and a non-significant response to tropical annual precipitation variation. According to the models, tropical precipitation is a more important driver, suggesting that some models do not capture the roles of precipitation and temperature changes adequately.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Chang, Jinfeng
Ciais, Philippe
Wang, Xuhui
Piao, Shilong
Asrar, Ghassem
Betts, Richard
Chevallier, Frédéric
Dury, Marie ;  Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > Modélisation du climat et des cycles biogéochimiques
François, Louis  ;  Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > Modélisation du climat et des cycles biogéochimiques
Frieler, Katja
Garcia Cantu Ros, Anselmo
Henrot, Alexandra-Jane ;  Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > Modélisation du climat et des cycles biogéochimiques
Hickler, Thomas
Ito, Akihiko
Morfopoulos, Catherine
Munhoven, Guy ;  Université de Liège > Département d'astrophys., géophysique et océanographie (AGO) > Labo de physique atmosphérique et planétaire (LPAP)
Nishina, Kazuya
Ostberg, Sebastian
Pan, Shufen
Peng, Shushi
Rafique, Rashid
Reyer, Christopher
Rödenbeck, Christrian
Schaphoff, Sibyll
Steinkamp, Jörg
Tian, Hanqin
Viovy, Nicolas
Yang, Jia
Zeng, Ning
Zhao, Fang
More authors (20 more) Less
Language :
English
Title :
Benchmarking carbon fluxes of the ISIMIP2a biome models
Publication date :
2017
Journal title :
Environmental Research Letters
eISSN :
1748-9326
Publisher :
Institute of Physics Publishing, Bristol, United Kingdom
Volume :
12
Pages :
045002
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
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