Preprints
https://doi.org/10.5194/bg-2023-15
https://doi.org/10.5194/bg-2023-15
01 Mar 2023
 | 01 Mar 2023
Status: a revised version of this preprint is currently under review for the journal BG.

Historical dynamics of terrestrial carbon during 1901–2016 as simulated by the CLM-Microbe model

Liyuan He, Jorge L. Mazza Rodrigues, Melanie A. Mayes, Chun-Ta Lai, David A. Lipson, and Xiaofeng Xu

Abstract. The CLM-Microbe model was able to reproduce the variations of gross (GPP) and net (NPP) primary productivity, heterotrophic (HR), and soil (SR) respiration, microbial (MBC) biomass C in fungi (FBC) and bacteria (BBC) in the top 30 cm and 1 m, dissolved (DOC) and soil organic C (SOC) in the top 30 cm and 1 m during 2901–2016. During the study period, simulated C variables increased by approximately 30 PgC yr−1 for GPP, 13 PgC yr−1 for NPP, 12 PgC yr−1 for HR, 25 PgC yr−1 for SR, 1.0 PgC for FBC and 0.4 PgC for BBC in 0–30 cm, 1.2 PgC for FBC, 0.7 PgC for BBC, 2.4 PgC for DOC, 34 PgC for SOC, and 4 PgC for litter C in 0–1 m, and 37 PgC for vegetation C. Increases in C fluxes and pools were larger at northern high latitudes and in equatorial regions than at other latitudes; the largest absolute increases of C fluxes and pools were in Asia and South America, particularly in eastern Asia and central and northern South America. However, the largest relative increases of GPP, NPP, HR, and SR in Asia and Europe, FBC (0–30 cm and 0–1 m) in South America, BBC (0–30 cm and 0–1 m) in Europe, DOC (0–1 m) in South America and Europe, SOC (0–1 m) in Africa, and vegetation C and litter C (0–1 m) in Europe. Vegetation productivity was primarily controlled by warming and precipitation, while microbial and soil C was jointly governed by vegetation C input and soil temperature and moisture. This study enhances our understanding of soil microbial roles in the global terrestrial C cycle.

Liyuan He, Jorge L. Mazza Rodrigues, Melanie A. Mayes, Chun-Ta Lai, David A. Lipson, and Xiaofeng Xu

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on bg-2023-15', Anonymous Referee #1, 21 Apr 2023
    • AC1: 'Reply on RC1', Xiaofeng Xu, 29 Aug 2023
  • RC2: 'Comment on bg-2023-15', Anonymous Referee #2, 05 Jul 2023
    • AC2: 'Reply on RC2', Xiaofeng Xu, 29 Aug 2023
  • RC3: 'Comment on bg-2023-15', Anonymous Referee #3, 11 Jul 2023
    • AC3: 'Reply on RC3', Xiaofeng Xu, 29 Aug 2023
Liyuan He, Jorge L. Mazza Rodrigues, Melanie A. Mayes, Chun-Ta Lai, David A. Lipson, and Xiaofeng Xu
Liyuan He, Jorge L. Mazza Rodrigues, Melanie A. Mayes, Chun-Ta Lai, David A. Lipson, and Xiaofeng Xu

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Short summary
The microbial-explicit model – CLM-Microbe – was first applied to investigate the carbon cycle in terrestrial ecosystems. The simulated carbon storages and fluxes are consistent with previous estimates. The bacterial and fungal biomass carbon showed increasing trends from 1901 to 2016, with large spatial variations. The long-term global estimation of microbial dynamics provides a quantitive understanding of microbial contributions to the global carbon cycle.
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