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Historically inconsistent productivity and respiration fluxes in the global terrestrial carbon cycle

Journal Article · · Nature Communications
 [1];  [2];  [3];  [4];  [2];  [5];  [3];  [6];  [7];  [8];  [3]
  1. Northwest A&F University, Yangling (China); Univ. of Maryland, College Park, MD (United States); University of Chinese Academy of Sciences, Beijing (China)
  2. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
  3. Univ. of Maryland, College Park, MD (United States)
  4. Stanford Univ., CA (United States)
  5. NASA Goddard Space Flight Center (GSFC), Greenbelt, MD (United States)
  6. Virginia Polytechnic Inst. and State Univ. (Virginia Tech), Blacksburg, VA (United States)
  7. National Institute for Environmental Studies (NIES), Tsukuba (Japan); Tottori University (Japan)
  8. Univ. of Delaware, Newark, DE (United States)

The terrestrial carbon cycle is a major source of uncertainty in climate projections. Its dominant fluxes, gross primary productivity (GPP), and respiration (in particular soil respiration, RS), are typically estimated from independent satellite-driven models and upscaled in situ measurements, respectively. We combine carbon-cycle flux estimates and partitioning coefficients to show that historical estimates of global GPP and RS are irreconcilable. When we estimate GPP based on RS measurements and some assumptions about RS:GPP ratios, we found the resulted global GPP values (bootstrap mean $${149}^{+29}_{-23}$$ Pg C yr⁻1) are significantly higher than most GPP estimates reported in the literature ($${113}^{+18}_{-18}$$ Pg C yr⁻1). Similarly, historical GPP estimates imply a soil respiration flux (RsGPP, bootstrap mean of $${68}^{+10}_{-8}$$ Pg C yr⁻1) statistically inconsistent with most published RS values ($${87}^{+9}_{-8}$$ Pg C yr⁻1), although recent, higher, GPP estimates are narrowing this gap. Furthermore, global RS:GPP ratios are inconsistent with spatial averages of this ratio calculated from individual sites as well as CMIP6 model results. This discrepancy has implications for our understanding of carbon turnover times and the terrestrial sensitivity to climate change. Future efforts should reconcile the discrepancies associated with calculations for GPP and Rs to improve estimates of the global carbon budget.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER); Second Tibetan Plateau Scientific Expedition and Research Program (STEP); Chinese Academy of Sciences; National Aeronautics and Space Administration (NASA)
Grant/Contract Number:
AC05-76RL01830
OSTI ID:
1863556
Alternate ID(s):
OSTI ID: 1863557
Report Number(s):
PNNL-SA-153170
Journal Information:
Nature Communications, Journal Name: Nature Communications Journal Issue: 1 Vol. 13; ISSN 2041-1723
Publisher:
Nature Publishing GroupCopyright Statement
Country of Publication:
United States
Language:
English

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