Gene-informed decomposition model predicts lower soil carbon loss due to persistent microbial adaptation to warming
| Autor: | Renmao Tian, Jiajie Feng, Aifen Zhou, Zhili He, Qun Gao, Xishu Zhou, James R. Cole, Jizhong Zhou, Linwei Wu, Gangsheng Wang, Feifei Liu, Liyou Wu, Chang Gyo Jung, Lauren Hale, Zhou Shi, Lifen Jiang, Daliang Ning, Joy D. Van Nostrand, Edward A. G. Schuur, James M. Tiedje, Dejun Li, Konstantinos T. Konstantinidis, Arthur Escalas, Xue Guo, C. Ryan Penton, Yiqi Luo, Lijun Chen, Bo Wu, Mengting Yuan, Xueduan Liu, Shuli Niu, Xia Xu, Yunfeng Yang |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Hot Temperature
010504 meteorology & atmospheric sciences Acclimatization Microbial metabolism General Physics and Astronomy 01 natural sciences Global Warming Plant Roots Soil respiration Microbial ecology Soil Models lcsh:Science Soil Microbiology Multidisciplinary Ecology Microbiota Soil chemistry 04 agricultural and veterinary sciences Carbon cycle Grassland Soil microbiology Science Environmental DNA Poaceae complex mixtures General Biochemistry Genetics and Molecular Biology Article Carbon Cycle Environmental Genetic Ecosystem Cellulose 0105 earth and related environmental sciences Ecological modelling Bacteria Models Genetic Global warming Fungi General Chemistry Soil carbon DNA Archaea DNA Environmental Carbon Climate Action 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Metagenome lcsh:Q Metagenomics |
| Zdroj: | Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020) Nature Communications Nature communications, vol 11, iss 1 |
| ISSN: | 2041-1723 |
| DOI: | 10.1038/s41467-020-18706-z |
| Popis: | Soil microbial respiration is an important source of uncertainty in projecting future climate and carbon (C) cycle feedbacks. However, its feedbacks to climate warming and underlying microbial mechanisms are still poorly understood. Here we show that the temperature sensitivity of soil microbial respiration (Q10) in a temperate grassland ecosystem persistently decreases by 12.0 ± 3.7% across 7 years of warming. Also, the shifts of microbial communities play critical roles in regulating thermal adaptation of soil respiration. Incorporating microbial functional gene abundance data into a microbially-enabled ecosystem model significantly improves the modeling performance of soil microbial respiration by 5–19%, and reduces model parametric uncertainty by 55–71%. In addition, modeling analyses show that the microbial thermal adaptation can lead to considerably less heterotrophic respiration (11.6 ± 7.5%), and hence less soil C loss. If such microbially mediated dampening effects occur generally across different spatial and temporal scales, the potential positive feedback of soil microbial respiration in response to climate warming may be less than previously predicted. Mechanisms and consequences of the acclimation of soil respiration to warming are unclear. Here, the authors combine soil respiration, metagenomics, and functional gene results from a 7-year grassland warming experiment to a microbial-enzyme decomposition model, showing functional gene information to lower uncertainty and improve fit. |
| Databáze: | OpenAIRE |
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