Articles | Volume 17, issue 7
https://doi.org/10.5194/bg-17-2009-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-17-2009-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
15 Apr 2020
Research article |
| 15 Apr 2020
| 15 Apr 2020
A comparison of patterns of microbial C : N : P stoichiometry between topsoil and subsoil along an aridity gradient
Yuqing Liu
School of Geography Science, Nanjing Normal University, Nanjing
210023, China
State Key Laboratory of Vegetation and Environmental Change,
Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
Wenhong Ma
Department of Ecology, School of Ecology and Environment, Inner
Mongolia University, Hohhot 010021, China
Dan Kou
State Key Laboratory of Vegetation and Environmental Change,
Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Xiaxia Niu
State Key Laboratory of Vegetation and Environmental Change,
Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
Department of Ecology, School of Ecology and Environment, Inner
Mongolia University, Hohhot 010021, China
Tian Wang
State Key Laboratory of Vegetation and Environmental Change,
Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Yongliang Chen
College of Resources and Environmental Sciences, China Agricultural University, Beijing 100083, China
Dima Chen
State Key Laboratory of Vegetation and Environmental Change,
Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
Xiaoqin Zhu
State Key Laboratory of Vegetation and Environmental Change,
Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
Mengying Zhao
State Key Laboratory of Vegetation and Environmental Change,
Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
Baihui Hao
State Key Laboratory of Vegetation and Environmental Change,
Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
Department of Ecology, School of Ecology and Environment, Inner
Mongolia University, Hohhot 010021, China
Jinbo Zhang
School of Geography Science, Nanjing Normal University, Nanjing
210023, China
Yuanhe Yang
State Key Laboratory of Vegetation and Environmental Change,
Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
Huifeng Hu
CORRESPONDING AUTHOR
State Key Laboratory of Vegetation and Environmental Change,
Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
Data sets
Global Aridity Index (Global-Aridity) and Global Potential Evapo-Transpiration (Global-PET) Geospatial Database A. Trabucco and R. J. Zomer https://cgiarcsi.community/data/global-aridity-and-pet-database/
Short summary
The microbial C : N ratio increased with aridity, while the microbial N : P ratio decreased with aridity, which implied that drought-stimulated microbes tend to be more N conservative. Among all examined ecological factors, substrate supply and microbial structure together controlled the microbial stoichiometry. Overall, these results illustrated N and P limitation in microbial biomass at deeper soil depths along the aridity gradient and limited responses to ecological factors in the subsoil.
The microbial C : N ratio increased with aridity, while the microbial N : P ratio decreased with...
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