Dataset Information

Gene-informed decomposition model predicts lower soil carbon loss due to persistent microbial adaptation to warming.

ABSTRACT: 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.

SUBMITTER: Guo X

PROVIDER: S-EPMC7524716 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Gene-informed decomposition model predicts lower soil carbon loss due to persistent microbial adaptation to warming.

Guo Xue X Gao Qun Q Yuan Mengting M Wang Gangsheng G Zhou Xishu X Feng Jiajie J Shi Zhou Z Hale Lauren L Wu Linwei L Zhou Aifen A Tian Renmao R Liu Feifei F Wu Bo B Chen Lijun L Jung Chang Gyo CG Niu Shuli S Li Dejun D Xu Xia X Jiang Lifen L Escalas Arthur A Wu Liyou L He Zhili Z Van Nostrand Joy D JD Ning Daliang D Liu Xueduan X Yang Yunfeng Y Schuur Edward A G EAG Konstantinidis Konstantinos T KT Cole James R JR Penton C Ryan CR Luo Yiqi Y Tiedje James M JM Zhou Jizhong J

Nature communications 20200929 1

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 (Q<sub>10</sub>) 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 regulatin ...[more]

PMID: 32994415

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Project description:Microbes are responsible for cycling carbon (C) through soils, and predicted changes in soil C stocks under climate change are highly sensitive to shifts in the mechanisms assumed to control the microbial physiological response to warming. Two mecha-nisms have been suggested to explain the long-term warming impact on microbial physiology: microbial thermal acclimation and changes in the quantity and quality of substrates available for microbial metabolism. Yet studies disentangling these two mechanisms are lacking. To resolve the drivers of changes in microbial physiology in response to long-term warming, we sampled soils from 13- and 28-year- old soil warming experiments in different seasons. We performed short-term laboratory incubations across a range of temperatures to measure the relationships between temperature sensitivity of physiology (growth, respiration, carbon use efficiency, and extracellular enzyme activity) and the chemical composition of soil organic matter. We observed apparent thermal acclimation of microbial respiration, but only in sum-mer, when warming had exacerbated the seasonally-induced, already small dissolved organic matter pools. Irrespective of warming, greater quantity and quality of soil carbon increased the extracellular enzymatic pool and its temperature sensitivity. We propose that fresh litter input into the system seasonally cancels apparent thermal acclimation of C-cycling processes to decadal warming. Our findings reveal that long-term warming has indirectly affected microbial physiology via reduced C availability in this system, implying that earth system models including these negative feedbacks may be best suited to describe long-term warming effects on these soils. Citation: Domeignoz-Horta LA, Pold G, Erb H, Sebag D, Verrecchia E, Northen T, Louie K, Eloe-Fadrosh E, Pennacchio C, Knorr MA, Frey SD, Melillo JM, DeAngelis KM. Substrate availability and not thermal acclimation controls microbial temperature sensitivity response to long-term warming. Glob Chang Biol. 2023 Mar;29(6):1574-1590. doi: 10.1111/gcb.16544. The work (proposal:https://doi.org/10.46936/10.25585/60001340) conducted by the U.S. Department of Energy Joint Genome Institute (https://ror.org/04xm1d337), a DOE Office of Science User Facility, is supported by the Office of Science of the U.S. Department of Energy operated under Contract No. DE-AC02-05CH11231.

Dataset Information

Gene-informed decomposition model predicts lower soil carbon loss due to persistent microbial adaptation to warming.

Publications

Gene-informed decomposition model predicts lower soil carbon loss due to persistent microbial adaptation to warming.

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