EGU26-4089, updated on 13 Mar 2026
https://doi.org/10.5194/egusphere-egu26-4089
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Monday, 04 May, 14:25–14:35 (CEST)
 
Room 0.11/12
Microbial growth rate is a stronger predictor of soil organic carbon than carbon use efficiency
Xianjin He1, Gaëlle Marmasse1, Junxi Hu2, Rebecca M. Varney3,4, Stefano Manzoni3, Philippe Ciais1, Ying-Ping Wang5,6, Yongxing Cui7, Edith Bai8,9, Rose Z. Abramoff10, Elsa Abs1, Erik Schmidt3, Haicheng Zhang11, and Daniel S. Goll1
Xianjin He et al.
  • 1Laboratoire des Sciences du Climat et de l'Environnement, IPSL-LSCE, CEA/CNRS/UVSQ, Orme des Merisiers, Gif sur Yvette, 91191, France.
  • 2College of Forestry, Sichuan Agricultural University, Chengdu, 611130, China (junxihu@sicau.edu.cn)
  • 3Department of Physical Geography and Bolin Centre for Climate Research, Stockholm University, Stockholm, SE-10691, Sweden. (rebecca.varney@natgeo.su.se; stefano.manzoni@natgeo.su.se; erik.schwarz@natgeo.su.se)
  • 4Faculty of Environment, Science and Economy, University of Exeter, Exeter, EX4 4QE, UK. (rebecca.varney@natgeo.su.se)
  • 5CSIRO Environment, Private Bag 10, Clayton South, VIC 3168, Australia. (Yingping.Wang@csiro.au)
  • 6Guangdong Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, 510650, China. (Yingping.Wang@csiro.au)
  • 7Institute of Biology, Freie Universität Berlin, Berlin, 14195, Germany. (cuiyongxing.cn@gmail.com)
  • 8Key Laboratory of Geographical Processes and Ecological Security of Changbai Mountains, Ministry of Education; School of Geographical Sciences, Northeast Normal University, Changchun, 10032, China (baie612@nenu.edu.cn)
  • 9Changchun Normal University, Changchun, 10032, China (baie612@nenu.edu.cn)
  • 10School of Forest Resources, University of Maine, Orono, ME 04353, USA. (rose.abramoff@maine.edu)
  • 11Carbon-Water Research Station in Karst Regions of Northern Guangdong, School of Geography and Planning, Sun Yat-Sen University, Guangzhou, 510006, China. (zhanghch59@mail.sysu.edu.cn)

The extent to which microbial processes control soil organic carbon (SOC) dynamics remains uncertain. Carbon use efficiency (CUE)—the fraction of assimilated carbon allocated to growth—has been used as a key parameter, but its relationship with SOC reflects carbon partitioning rather than the absolute magnitude of microbial fluxes. Microbial growth rate could provide a more mechanistic link to SOC accumulation, as it quantifies biomass production and reflects necromass formation. Here we combine a global ¹⁸O–H2O dataset (n = 268 paired observations) with outputs from four land surface models to test whether growth rate predicts SOC more strongly than CUE. In the incubation experiments, growth rates are more closely associated with SOC than CUE, although soil properties and climate explain equal or greater variance. Models reproduce the stronger role of growth rate over CUE but tend to underestimate the abiotic controls. The models also emphasize CUE as the main predictor of the SOC/NPP ratio, in contrast to observations, which indicates the soil’s capacity to retain plant carbon inputs. Together, these findings identify microbial growth rate as a diagnostic that can help bridge models with empirical data and guide a more balanced representation of microbial and mineral controls in SOC projections.

How to cite: He, X., Marmasse, G., Hu, J., Varney, R. M., Manzoni, S., Ciais, P., Wang, Y.-P., Cui, Y., Bai, E., Abramoff, R. Z., Abs, E., Schmidt, E., Zhang, H., and Goll, D. S.: Microbial growth rate is a stronger predictor of soil organic carbon than carbon use efficiency, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-4089, https://doi.org/10.5194/egusphere-egu26-4089, 2026.