Literature DB >> 33559308

Large-scale importance of microbial carbon use efficiency and necromass to soil organic carbon.

Chao Wang1, Lingrui Qu1,2, Liuming Yang3, Dongwei Liu1, Ember Morrissey4, Renhui Miao5, Ziping Liu6, Qingkui Wang1, Yunting Fang1, Edith Bai6,7.   

Abstract

Optimal methods for incorporating soil microbial mechanisms of carbon (C) cycling into Earth system models (ESMs) are still under debate. Specifically, whether soil microbial physiology parameters and residual materials are important to soil organic C (SOC) content is still unclear. Here, we explored the effects of biotic and abiotic factors on SOC content based on a survey of soils from 16 locations along a ~4000 km forest transect in eastern China, spanning a wide range of climate, soil conditions, and microbial communities. We found that SOC was highly correlated with soil microbial biomass C (MBC) and amino sugar (AS) concentration, an index of microbial necromass. Microbial C use efficiency (CUE) was significantly related to the variations in SOC along this national-scale transect. Furthermore, the effect of climatic and edaphic factors on SOC was mainly via their regulation on microbial physiological properties (CUE and MBC). We also found that regression models on explanation of SOC variations with microbial physiological parameters and AS performed better than the models without them. Our results provide the empirical linkages among climate, microbial characteristics, and SOC content at large scale and confirm the necessity of incorporating microbial biomass and necromass pools in ESMs under global change scenarios.
© 2021 John Wiley & Sons Ltd.

Entities:  

Keywords:  carbon use efficiency; microbial necromass; microbial physiological parameters; microbial turnover rate; modeling; soil carbon storage

Year:  2021        PMID: 33559308     DOI: 10.1111/gcb.15550

Source DB:  PubMed          Journal:  Glob Chang Biol        ISSN: 1354-1013            Impact factor:   10.863


  3 in total

1.  Improving a Biogeochemical Model to Simulate Microbial-Mediated Carbon Dynamics in Agricultural Ecosystems.

Authors:  Jia Deng; Steve Frolking; Rajen Bajgain; Carolyn R Cornell; Pradeep Wagle; Xiangming Xiao; Jizhong Zhou; Jeffrey Basara; Jean Steiner; Changsheng Li
Journal:  J Adv Model Earth Syst       Date:  2021-11-14       Impact factor: 8.469

2.  Soil Microbial Community Response to Nitrogen Application on a Swamp Meadow in the Arid Region of Central Asia.

Authors:  Yang Hu; Mo Chen; Zailei Yang; Mengfei Cong; Xinping Zhu; Hongtao Jia
Journal:  Front Microbiol       Date:  2022-01-20       Impact factor: 5.640

3.  Allometry and Distribution of Nitrogen in Natural Plant Communities of the Tibetan Plateau.

Authors:  Xin Li; Mingxu Li; Li Xu; Congcong Liu; Wenzong Zhao; Changjin Cheng; Nianpeng He
Journal:  Front Plant Sci       Date:  2022-03-11       Impact factor: 5.753

  3 in total

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