Microbial community utilization of added carbon substrates in response to long-term carbon input manipulation

Brant, Justin B.; Sulzman, Elizabeth W.; Myrold, David D.

doi:10.1016/j.soilbio.2006.01.022

Cited by 316 publications

(187 citation statements)

References 55 publications

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“…Aneja et al, 2006;Frossard et al, 2013). A characteristic shift in microbial community structure is related to additions of root exudates that increase the relative abundance of Gram-negative bacteria, while decreasing the proportion of Gram-positive bacteria (Griffiths et al, 1998;Lu et al, 2007;McMahon et al, 2005;Brant et al, 2006;Williams et al, 2007). However, in our study we recovered considerably more pronounced effects from SOC (e.g.…”

Section: Key Role Of Soil Organic Carbon In Shaping Microbial Communitycontrasting

confidence: 56%

Soil organic carbon and soil structure are driving microbial abundance and community composition across the arid and semi-arid grasslands in northern China

Hu¹,

Xiang²,

Veresoglou³

et al. 2014

Soil Biology and Biochemistry

172

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a b s t r a c tMicrobial biogeography through the study of the assembly rules of microbes has the potential to yield ecological information that is generalizable for a wide range of microorganisms. Here we performed a large-scale field investigation of the distribution patterns of microbes across the arid and semi-arid grassland ecosystems covering an area of 690,000 km 2 in northern China. Soil microbial abundance and community composition were examined through quantifying microbial phospholipid fatty acids (PLFAs) at fifty sampling sites along environmental gradients. A multi-model inference analysis identified soil organic carbon (SOC) as a key driving factor for microbial biomass and quantified its effect. Structural equation models (SEM) were further fitted to the data to provide a better mechanistic resolution of direct and indirect pathways that connected PLFAs and environmental variables. The SEM analysis also supported that SOC was the main positive predictor of microbial biomass, while MAT served as the main negative factor via an indirect pathway. To visualize complex relationships between microbial community and environmental variables we engaged in a redundancy analysis. The result showed that PLFA profiles could be largely explained by the soil variables including soil structure (PSD) and pH. Overall, our report through the analysis of an unprecedented amount of primary data yields unique insights into the relative importance of abiotic factors in shaping microbial communities at large scales.

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Section: Key Role Of Soil Organic Carbon In Shaping Microbial Communitycontrasting

confidence: 56%

Soil organic carbon and soil structure are driving microbial abundance and community composition across the arid and semi-arid grasslands in northern China

Hu¹,

Xiang²,

Veresoglou³

et al. 2014

Soil Biology and Biochemistry

172

View full text Add to dashboard Cite

show abstract

“…Moreover, while the rhizosphere had no statistically significant effect on total litter recovery, we recovered a greater fraction of the applied litter in the root fraction of planted compared to unplanted plots, which counter-intuitively indicates greater comminution of roots into bulk soil in the absence of the plant rhizosphere. This observation may be tied to greater soil moisture levels in unplanted plots leading to higher soil activity of the fauna responsible for comminution, or to differences in the microbial or macrofaunal communities in the planted and unplanted plots (e.g., Brandt et al 2006;Bird et al 2011;Shi et al 2015). Populations of soil macrofauna, which are key to litter comminution, can be reduced during dry conditions (Lindberg et al 2002).…”

Section: Discussionmentioning

confidence: 99%

The effects of heating, rhizosphere, and depth on root litter decomposition are mediated by soil moisture

et al. 2017

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“…For example, the set of rules used to group compounds into classes of intrinsic decomposition rates may be different than the classification needed to characterize sorptive interactions with mineral surfaces. Other compound classifications of interest for SOM cycling would reflect the influence of the compound chemistry on carbonuse efficiency (Brant et al, 2006;Frey et al, 2013;Sinsabaugh et al, 2013), high-affinity interactions with soil minerals (Gordon and Millero, 1985;Gu et al, 1994;Kleber et al, 2005;Mikutta et al, 2007), susceptibility to exoenzyme decomposition (Allison et al, 2010;Schimel and Weintraub, 2003;Sinsabaugh and Shah, 2012), and process-dependent temperature sensitivity (Conant et al, 2011;Davidson and Janssens, 2006). The impacts of these mechanisms depend strongly on the environment in which they operate.…”

Section: Carbon Decomposition Reaction Networkmentioning

confidence: 99%

Long residence times of rapidly decomposable soil organic matter: application of a multi-phase, multi-component, and vertically resolved model (BAMS1) to soil carbon dynamics

et al. 2014

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Abstract. Accurate representation of soil organic matter (SOM) dynamics in Earth system models is critical for future climate prediction, yet large uncertainties exist regarding how, and to what extent, the suite of proposed relevant mechanisms should be included. To investigate how various mechanisms interact to influence SOM storage and dynamics, we developed an SOM reaction network integrated in a one-dimensional, multi-phase, and multi-component reactive transport solver. The model includes representations of bacterial and fungal activity, multiple archetypal polymeric and monomeric carbon substrate groups, aqueous chemistry, aqueous advection and diffusion, gaseous diffusion, and adsorption (and protection) and desorption from the soil mineral phase. The model predictions reasonably matched observed depth-resolved SOM and dissolved organic matter (DOM) stocks and fluxes, lignin content, and fungi to aerobic bacteria ratios. We performed a suite of sensitivity analyses under equilibrium and dynamic conditions to examine the role of dynamic sorption, microbial assimilation rates, and carbon inputs. To our knowledge, observations do not exist to fully test such a complicated model structure or to test the hypotheses used to explain observations of substantial storage of very old SOM below the rooting depth. Nevertheless, we demonstrated that a reasonable combination of sorption parameters, microbial biomass and necromass dynamics, and advective transport can match observations without resorting to an arbitrary depth-dependent decline in SOM turnover rates, as is often done. We conclude that, contrary to assertions derived from existing turnover time based model formulations, observed carbon content and 14 C vertical profiles are consistent with a representation of SOM consisting of carbon compounds with relatively fast reaction rates, vertical aqueous transport, and dynamic protection on mineral surfaces.

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Microbial community utilization of added carbon substrates in response to long-term carbon input manipulation

Cited by 316 publications

References 55 publications

Soil organic carbon and soil structure are driving microbial abundance and community composition across the arid and semi-arid grasslands in northern China

Soil organic carbon and soil structure are driving microbial abundance and community composition across the arid and semi-arid grasslands in northern China

The effects of heating, rhizosphere, and depth on root litter decomposition are mediated by soil moisture

Long residence times of rapidly decomposable soil organic matter: application of a multi-phase, multi-component, and vertically resolved model (BAMS1) to soil carbon dynamics

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