Articles | Volume 15, issue 4
https://doi.org/10.5194/bg-15-1217-2018
© Author(s) 2018. 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-15-1217-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
01 Mar 2018
Research article |
| 01 Mar 2018
| 01 Mar 2018
Divergence of dominant factors in soil microbial communities and functions in forest ecosystems along a climatic gradient
Zhiwei Xu
Institute for Peat and Mire Research, College of Geographical Sciences,
Northeast Normal University, Changchun, 130024, China
Jilin Provincial Key Laboratory for Wetland Ecological Processes and
Environmental Change in the Changbai Mountains, Changchun, 130024, China
Guirui Yu
CORRESPONDING AUTHOR
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of
Geographic Sciences and Natural Resources Research, Chinese Academy of
Sciences, Beijing, 100101,China
College of Resources and Environment, University of Chinese Academy of
Sciences, Beijing, 100190, China
Xinyu Zhang
CORRESPONDING AUTHOR
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of
Geographic Sciences and Natural Resources Research, Chinese Academy of
Sciences, Beijing, 100101,China
College of Resources and Environment, University of Chinese Academy of
Sciences, Beijing, 100190, China
Nianpeng He
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of
Geographic Sciences and Natural Resources Research, Chinese Academy of
Sciences, Beijing, 100101,China
College of Resources and Environment, University of Chinese Academy of
Sciences, Beijing, 100190, China
Qiufeng Wang
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of
Geographic Sciences and Natural Resources Research, Chinese Academy of
Sciences, Beijing, 100101,China
College of Resources and Environment, University of Chinese Academy of
Sciences, Beijing, 100190, China
Shengzhong Wang
Institute for Peat and Mire Research, College of Geographical Sciences,
Northeast Normal University, Changchun, 130024, China
Jilin Provincial Key Laboratory for Wetland Ecological Processes and
Environmental Change in the Changbai Mountains, Changchun, 130024, China
Xiaofeng Xu
Biology Department, San Diego State University, San Diego, CA 92182, USA
Ruili Wang
College of Forestry, Northwest A&F University, Yangling, Shaanxi
Province, 712100, China
Ning Zhao
Cold and Arid Regions Environmental and Engineering Research Institute,
Chinese Academy of Sciences, Lanzhou, 730000, China
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Cited
9 citations as recorded by crossref.
- Seasonal variations in soil fungal communities and co-occurrence networks along an altitudinal gradient in the cold temperate zone of China: A case study on Oakley Mountain L. Ji et al. 10.1016/j.catena.2021.105448
- Effects of widespread non-native trees on regulating ecosystem services P. Castro-Díez et al. 10.1016/j.scitotenv.2021.146141
- Vegetation creates microenvironments that influence soil microbial activity and functional diversity along an elevation gradient D. Hernández-Cáceres et al. 10.1016/j.soilbio.2021.108485
- Decoding the link between bacterial diversity and enzymatic activities of soil from Cymbopogon flexuosus growing dryland P. Singh et al. 10.1016/j.apsoil.2021.104150
- Biogeographic Changes in Forest Soil Microbial Communities of Offshore Islands—A Case Study of Remote Islands in Taiwan E. Chang et al. 10.3390/f12010004
- Analysis of spatiotemporal variations in the characteristics of soil microbial communities in Castanopsis fargesii forests H. Qiao et al. 10.1007/s11676-019-00957-2
- Organic carbon mineralization in soils of a natural forest and a forest plantation of southeastern China J. Huang et al. 10.1016/j.geoderma.2019.03.012
- Effects of Thinning on Microbial Community Structure in the Organic Horizon of Chinese Pine Plantations in Badaling, Beijing, China L. Wang et al. 10.3390/f10100828
- Soil microbial community composition and function are closely associated with soil organic matter chemistry along a latitudinal gradient H. Kang et al. 10.1016/j.geoderma.2020.114744
9 citations as recorded by crossref.
- Seasonal variations in soil fungal communities and co-occurrence networks along an altitudinal gradient in the cold temperate zone of China: A case study on Oakley Mountain L. Ji et al. 10.1016/j.catena.2021.105448
- Effects of widespread non-native trees on regulating ecosystem services P. Castro-Díez et al. 10.1016/j.scitotenv.2021.146141
- Vegetation creates microenvironments that influence soil microbial activity and functional diversity along an elevation gradient D. Hernández-Cáceres et al. 10.1016/j.soilbio.2021.108485
- Decoding the link between bacterial diversity and enzymatic activities of soil from Cymbopogon flexuosus growing dryland P. Singh et al. 10.1016/j.apsoil.2021.104150
- Biogeographic Changes in Forest Soil Microbial Communities of Offshore Islands—A Case Study of Remote Islands in Taiwan E. Chang et al. 10.3390/f12010004
- Analysis of spatiotemporal variations in the characteristics of soil microbial communities in Castanopsis fargesii forests H. Qiao et al. 10.1007/s11676-019-00957-2
- Organic carbon mineralization in soils of a natural forest and a forest plantation of southeastern China J. Huang et al. 10.1016/j.geoderma.2019.03.012
- Effects of Thinning on Microbial Community Structure in the Organic Horizon of Chinese Pine Plantations in Badaling, Beijing, China L. Wang et al. 10.3390/f10100828
- Soil microbial community composition and function are closely associated with soil organic matter chemistry along a latitudinal gradient H. Kang et al. 10.1016/j.geoderma.2020.114744
Latest update: 23 Nov 2024
Short summary
Forest types with specific soil conditions supported the development of distinct soil microbial communities with variable functions. Our results indicate that the main controls on soil microbes and functions vary across forest ecosystems in different climatic zones. This information will add value to the modeling of microbial processes and will contribute to carbon cycling on a large scale.
Forest types with specific soil conditions supported the development of distinct soil microbial...
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