Methane flux in non-wetland soils in response to nitrogen addition: a meta-analysis

Ecology ◽  
2010 ◽  
Vol 91 (11) ◽  
pp. 3242-3251 ◽  
Author(s):  
E. L. Aronson ◽  
B. R. Helliker
mSystems ◽  
2019 ◽  
Vol 4 (6) ◽  
Author(s):  
Adrienne B. Narrowe ◽  
Mikayla A. Borton ◽  
David W. Hoyt ◽  
Garrett J. Smith ◽  
Rebecca A. Daly ◽  
...  

ABSTRACT Wetland soils are one of the largest natural contributors to the emission of methane, a potent greenhouse gas. Currently, microbial contributions to methane emissions from these systems emphasize the roles of acetoclastic and hydrogenotrophic methanogens, while less frequently considering methyl-group substrates (e.g., methanol and methylamines). Here, we integrated laboratory and field experiments to explore the potential for methylotrophic methanogenesis in Old Woman Creek (OWC), a temperate freshwater wetland located in Ohio, USA. We first demonstrated the capacity for methylotrophic methanogenesis in these soils using laboratory soil microcosms amended with trimethylamine. However, subsequent field porewater nuclear magnetic resonance (NMR) analyses to identify methanogenic substrates failed to detect evidence for methylamine compounds in soil porewaters, instead noting the presence of the methylotrophic substrate methanol. Accordingly, our wetland soil-derived metatranscriptomic data indicated that methanol utilization by the Methanomassiliicoccaceae was the likely source of methylotrophic methanogenesis. Methanomassiliicoccaceae relative contributions to mcrA transcripts nearly doubled with depth, accounting for up to 8% of the mcrA transcripts in 25-cm-deep soils. Longitudinal 16S rRNA amplicon and mcrA gene surveys demonstrated that Methanomassiliicoccaceae were stably present over 2 years across lateral and depth gradients in this wetland. Meta-analysis of 16S rRNA sequences similar (>99%) to OWC Methanomassiliicoccaceae in public databases revealed a global distribution, with a high representation in terrestrial soils and sediments. Together, our results demonstrate that methylotrophic methanogenesis likely contributes to methane flux from climatically relevant wetland soils. IMPORTANCE Understanding the sources and controls on microbial methane production from wetland soils is critical to global methane emission predictions, particularly in light of changing climatic conditions. Current biogeochemical models of methanogenesis consider only acetoclastic and hydrogenotrophic sources and exclude methylotrophic methanogenesis, potentially underestimating microbial contributions to methane flux. Our multi-omic results demonstrated that methylotrophic methanogens of the family Methanomassiliicoccaceae were present and active in a freshwater wetland, with metatranscripts indicating that methanol, not methylamines, was the likely substrate under the conditions measured here. However, laboratory experiments indicated the potential for other methanogens to become enriched in response to trimethylamine, revealing the reservoir of methylotrophic methanogenesis potential residing in these soils. Collectively, our approach used coupled field and laboratory investigations to illuminate metabolisms influencing the terrestrial microbial methane cycle, thereby offering direction for increased realism in predictive process-oriented models of methane flux in wetland soils.


2020 ◽  
Vol 26 (6) ◽  
pp. 3585-3600 ◽  
Author(s):  
Xingyun Liang ◽  
Tong Zhang ◽  
Xiankai Lu ◽  
David S. Ellsworth ◽  
Hormoz BassiriRad ◽  
...  

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Chengming You ◽  
Fuzhong Wu ◽  
Youmin Gan ◽  
Wanqin Yang ◽  
Zhongmin Hu ◽  
...  

2014 ◽  
Vol 11 (8) ◽  
pp. 12375-12414 ◽  
Author(s):  
N. J Bouskill ◽  
W. J Riley ◽  
J. Tang

Abstract. Accurate representation of ecosystem processes in land models is crucial for reducing predictive uncertainty in energy and greenhouse gas feedbacks with the atmosphere. Here we describe an observational and modeling meta-analysis approach to benchmark land models, and apply the method to the land model CLM4.5 with two versions of belowground biogeochemistry. We focused our analysis on the above and belowground high-latitude ecosystem responses to warming and nitrogen addition, and identified mechanisms absent, or poorly parameterized in CLM4.5. While the two model versions predicted similar trajectories for soil carbon stocks following both types of perturbation, other variables (e.g., belowground respiration) differed from the observations in both magnitude and direction, indicating the underlying mechanisms are inadequate for representing high-latitude ecosystems. The observational synthesis attribute these differences to missing representations of microbial dynamics, characterization of above and belowground functional processes, and nutrient competition. We use the observational meta-analyses to discuss potential approaches to improving the current models (e.g., the inclusion of dynamic vegetation or different microbial functional guilds), however, we also raise a cautionary note on the selection of data sets and experiments to be included in a meta-analysis. For example, the concentrations of nitrogen applied in the synthesized field experiments (average =72 kg ha−1 yr−1) are many times higher than projected soil nitrogen concentrations (from nitrogen deposition and release during mineralization), which preclude a rigorous evaluation of the model responses to nitrogen perturbation. Overall, we demonstrate here that elucidating ecological mechanisms via meta-analysis can identify deficiencies in both ecosystem models and empirical experiments.


2010 ◽  
Vol 189 (4) ◽  
pp. 1040-1050 ◽  
Author(s):  
Meng Lu ◽  
Yuanhe Yang ◽  
Yiqi Luo ◽  
Changming Fang ◽  
Xuhui Zhou ◽  
...  

2021 ◽  
pp. 108523
Author(s):  
Luncheng You ◽  
Gerard H. Ros ◽  
Yongliang Chen ◽  
Xue Yang ◽  
Zhenling Cui ◽  
...  

2014 ◽  
Vol 20 (7) ◽  
pp. 2332-2343 ◽  
Author(s):  
Lingyan Zhou ◽  
Xuhui Zhou ◽  
Baocheng Zhang ◽  
Meng Lu ◽  
Yiqi Luo ◽  
...  

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