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Title: Benchmarking carbon fluxes of the ISIMIP2a biome models

Journal Article · · Environmental Research Letters
 [1];  [2];  [3];  [4];  [5];  [6];  [2];  [7];  [8];  [9];  [9];  [8];  [10];  [11];  [6];  [12];  [11];  [13];  [14];  [4] more »;  [15];  [9];  [16];  [9];  [17];  [18];  [2];  [18];  [19];  [9] « less
  1. Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Gif-sur-Yvette (France); Sorbonne Univ., Paris (France)
  2. Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Gif-sur-Yvette (France)
  3. Laboratoire des Sciences du Climat et de l'Environnement (LSCE), Gif-sur-Yvette (France); Peking Univ., Beijing (China). College of Urban and Environmental Sciences, Sino-French Inst. of Earth System Sciences
  4. Peking Univ., Beijing (China). College of Urban and Environmental Sciences, Sino-French Inst. of Earth System Sciences
  5. Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Univ. of Maryland, College Park, MD (United States). Joint Global Change Research Inst.
  6. Univ. of Exeter (United Kingdom). College of Life and Environmental Sciences
  7. Univ. of Liege, (Belgium). Unit of Climate Modeling and Biogeochemical Cycles
  8. Univ. of Liege, (Belgium). Unit of Climate Modeling and Biogeochemical Cycles
  9. Potsdam Inst. for Climate Impact Research (Germany)
  10. Senckenberg Biodiversity and Climate Research Centre (BiK-F), Frankfurt (Germany); Goethe Univ., Frankfurt (Germany). Dept. of Physical Geography
  11. National Inst. for Environmental Studies, Tsukuba (Japan)
  12. Univ. of Liege, (Belgium). Lab. for Planetary and Atmospheric Physics (LPAP)
  13. Potsdam Inst. for Climate Impact Research (Germany); Humboldt Univ. of Berlin (Germany). Dept. of Geography
  14. Auburn Univ., AL (United States). School of Forestry and Wildlife Sciences, International Center for Climate and Global Change Research
  15. Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Univ. of Maryland, College Park, MD (United States). Joint Global Change Research Inst.
  16. Max Planck Inst. for Biogeochemistry, Jena (Germany)
  17. Senckenberg Biodiversity and Climate Research Centre (BiK-F), Frankfurt (Germany)
  18. Auburn Univ., AL (United States). School of Forestry and Wildlife Sciences, International Center for Climate and Global Change Research
  19. Univ. of Maryland, College Park, MD (United States). Dept. of Atmospheric and Oceanic Sciences
+ Show Author Affiliations

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). Here, we evaluate modeled global NBP against 1) the updated global residual land sink (RLS) plus land use emissions (ELUC) 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 FJena and FCAMS 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, FJena and FCAMS 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.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE; National Aeronautics and Space Administration (NASA); National Science Foundation (NSF)
Grant/Contract Number:
AC05-76RL01830; NNX14AO73G; NNX14AF93G
OSTI ID:
1353313
Report Number(s):
PNNL-SA-125310
Journal Information:
Environmental Research Letters, Vol. 12, Issue 4; ISSN 1748-9326
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 31 works
Citation information provided by
Web of Science

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Cited By (9)

Land use change and El Niño-Southern Oscillation drive decadal carbon balance shifts in Southeast Asia journal March 2018
A successful prediction of the record CO 2 rise associated with the 2015/2016 El Niño journal October 2018
Higher than expected CO 2 fertilization inferred from leaf to global observations journal February 2020
Projection of Net Primary Productivity under Global Warming Scenarios of 1.5 °C and 2.0 °C in Northern China Sandy Areas journal January 2020
A Forest Model Intercomparison Framework and Application at Two Temperate Forests Along the East Coast of the United States journal February 2019
Bias correction of surface downwelling longwave and shortwave radiation for the EWEMBI dataset journal January 2018
Implementing the nitrogen cycle into the dynamic global vegetation, hydrology, and crop growth model LPJmL (version 5.0) journal January 2018
Land use change and El Niño-Southern Oscillation drive decadal carbon balance shifts in Southeast Asia text January 2018
Bias correction of surface downwelling longwave and shortwave radiation for the EWEMBI dataset null January 2018

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Related Subjects

54 ENVIRONMENTAL SCIENCES
carbon fluxes
model evaluation
ENSO
terrestrial ecosystems
climate change
interannual variability
sensitivity