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  5. Bacterial Necromass Determines the Response of Mineral-Associated Organic Matter to Elevated Co2

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Preprint
English
2023

Bacterial Necromass Determines the Response of Mineral-Associated Organic Matter to Elevated Co2

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0 Files

English
2023
DOI: 10.2139/ssrn.4484852

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Yakov Kuzyakov
Yakov Kuzyakov

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Yuhong Li
Mouliang Xiao
Wei Liang
+8 more

Abstract

Microorganisms regulate soil organic matter (SOM) formation through accumulation and decomposition of microbial necromass, which is directly and indirectly affected by elevated CO2 and N fertilization. We investigated the role of microorganisms in SOM formation by analyzing 13C recovery in microorganisms and carbon pools in paddy soil under two CO2 levels, with and without N fertilization, after continuous 13CO2 labelling was stopped. Microbial turnover transferred 13C from living microbial biomass (determined by the decrease in phospholipid fatty acids) to necromass (determined by the increase in amino sugars). 13C incorporation in fungi was lower than that in bacteria; however, the opposite was observed for necromass. Bacterial turnover was faster than necromass decomposition, resulting in net necromass accumulation over time; fungal necromass remained stable. Elevated CO2 and N fertilization increased the net accumulation of bacterial, but not fungal, necromass. CO2 levels, but not N fertilization, significantly affected 13C incorporation in SOM pools. Elevated CO2 increased 13C in particulate organic matter via the roots, and in the mineral-associated organic matter (MAOM) via bacterial, but not fungal, necromass. Overall, bacterial necromass plays a dominant role in the MAOM formation response to elevated CO2 because bacteria are sensitive to elevated CO2.

How to cite this publication

Yuhong Li, Mouliang Xiao, Wei Liang, Qiong Liu, Zhenke Zhu, Hongzhao Yuan, Jinshui Wu, Jun Yuan, Xiaohong Wu, Yakov Kuzyakov, Tida Ge (2023). Bacterial Necromass Determines the Response of Mineral-Associated Organic Matter to Elevated Co2. , DOI: 10.2139/ssrn.4484852.

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Publication Details

Type

Preprint

Year

2023

Authors

11

Datasets

0

Total Files

0

Language

English

DOI

10.2139/ssrn.4484852

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