Linkage between temperature sensitivity of SOM decomposition and microbial communities depends on soil fractions

Author:

Qin Shuqi12ORCID,Fang Kai134ORCID,Song Yutong125ORCID,Kang Luyao125ORCID,Wang Siyu125,Yang Yuanhe125ORCID

Affiliation:

1. State Key Laboratory of Vegetation and Environmental Change Institute of Botany, Chinese Academy of Sciences Beijing China

2. China National Botanical Garden Beijing China

3. Research Institute of Forestry, Chinese Academy of Forestry Beijing China

4. Coastal Forestry Research Center of the National Forestry and Grassland Administration Research Institute of Forestry, Chinese Academy of Forestry Beijing China

5. University of Chinese Academy of Sciences Beijing China

Abstract

AbstractThe magnitude of terrestrial carbon (C)‐climate feedback largely depends on the temperature sensitivity of soil organic matter (SOM) decomposition (Q10). However, our understanding of determinants of Q10 for SOM fractions such as particulate and mineral‐associated organic matter (POM and MAOM, respectively) is still inadequate. Particularly, it remains unclear whether microbial effects on Q10 are fraction‐dependent, which induces large uncertainties in projecting soil C dynamics. Here, we conducted large‐scale topsoil sampling on the Tibetan Plateau, in combination with SOM fractionation and 300‐day laboratory incubation to assess SOM fraction‐dependent linkages between Q10 and microbial properties. We found that compared with MAOM, POM had larger Q10 and greater microbial diversity, and also structured distinct microbial communities as well as their co‐occurrence patterns. Furthermore, associations of Q10 with microbial properties differed between the two SOM fractions. Bacterial community composition and relative abundance of bacterial keystone taxa affected Q10 for POM and MAOM respectively, while bacterial alpha diversity showed opposite relationships with Q10 for POM and MAOM. These findings highlight the necessity of incorporating SOM fraction‐dependent microbial properties and their linkages with Q10 into Earth system models to accurately predict terrestrial C‐climate feedback.

Funder

National Natural Science Foundation of China

Publisher

Wiley

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