【土壤甲烷循环】Loïc Nazaries1 J. Colin Murrell2 Pete Millard3 Liz Baggs4 Brajesh K. Singh1*. Methane microbes and models: fundamental understanding of the soil methane cycle for future predictions. Environmental Microbiology
Abstract
Methane is an important greenhouse gas and microbes in the environment play major roles in both global methane emissions and terrestrial sinks. However a full mechanistic understanding of the response of the methane cycle to global change is lacking. Recent studies suggest that a number of biological and environmental processes can influence the net flux of methane from soils to the atmosphere but the magnitude and direction of their impact are still debated. Here we synthesize recent knowledge on soil microbial and biogeochemical process and the impacts of climate change factors on the soil methane cycle. We focus on (i) identification of the source and magnitude of methane flux and the global factors that may change the flux rate and magnitude in the future (ii) the microbial communities responsible for methane production and terrestrial sinks and (iii) how they will respond to future climatic scenarios and the consequences for feedback responses at a global scale. We also identify the research gaps in each of the topics identified above provide evidence which can be used to demonstrate microbial regulation of methane cycle and suggest that incorporation of microbial data from emerging -omic technologies could be harnessed to increase the predictive power of simulation models.
【氨氧化菌群落的多因素驱动】Huaiying Yao12* Colin D. Campbell23 Stephen J. Chapman2 Thomas E. Freitag2 Graeme W. Nicol4 Brajesh K. Singh5. Multi-factorial drivers of ammonia oxidizer communities: evidence from a national soil survey. Environmental Microbiology
Abstract
The factors driving the abundance and community composition of soil microbial communities provide fundamental knowledge on the maintenance of biodiversity and the ecosystem services they underpin. Several studies have suggested that microbial communities are spatially organized including functional groups and much of the observed variation is explained by geographical location or soil pH. Soil ammonia-oxidizing archaea (AOA) and bacteria (AOB) are excellent models for such study due to their functional agronomic and environmental importance and their relative ease of characterization. To identify the dominant drivers of different ammonia oxidizers we used samples (n = 713) from the National Soil Inventory of Scotland (NSIS). Our results indicate that 40–45% of the variance in community compositions can be explained by 71 environmental variables. Soil pH and substrate which have been regarded as the two main drivers only explained 13–16% of the total variance.