Enhanced carbon acquisition and use efficiency alleviate microbial carbon relative to nitrogen limitation under soil acidification

Li, Tianpeng; Wang, Ruzhen; Jiang, Yong; Meng, Yani; Wang, Zhirui; Xue, Feng; Liu, Heyong; Turco, Ronald F.; Jiang, Yong

doi:10.1186/s13717-021-00309-1

Cited by 26 publications

(10 citation statements)

References 80 publications

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“…The two observations described above imply that microorganisms in this case can maintain their growth by improving the use efficiency of the limiting element C (Figure 6). In a different experiment with the addition of nitrogen fertilizer, CUE also improved due to a relative deficiency in C (Li et al, 2021), supporting the findings from this current study.…”

Section: Carbon Deficiency Enhanced Cue Below the Salinity Thresholdsupporting

confidence: 89%

Microbial Carbon Use Efficiency in Coastal Soils Along a Salinity Gradient Revealed by Ecoenzymatic Stoichiometry

Chen

Petropoulos

et al. 2022

JGR Biogeosciences

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Soil salinization is considered one of the most challenging global environmental concerns in the current century (Rath & Rousk, 2015). Salt-affected soils cover more than 20% of the irrigated land worldwide accounting for more than one-third of food production (Rouphael et al., 2018). Due to an increase in both soil water evaporation and groundwater irrigation, salinization caused by aridity intensification is becoming an important issue threatening global nutrition habits (Sylla et al., 1995). The rise of the sea level caused by global warming further accelerates salinization in coastal areas (Schallenberg et al., 2003) and subsequent reduction of fertile lands. It is estimated that the salinized soil areas are increasing at a rate of 1.0-2.0 Mha per year, and by 2050, 50% of the arable land is expected to be severely affected by salinization (Wang et al., 2003). The high osmotic stress combined with the high ion toxicity (Na + , Cl − etc.) induced by salts promotes dehydration and microbial inactivation seriously hindering plant growth (Munns, 2002), threatening soil quality and food security.

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Section: Carbon Deficiency Enhanced Cue Below the Salinity Thresholdsupporting

confidence: 89%

Microbial Carbon Use Efficiency in Coastal Soils Along a Salinity Gradient Revealed by Ecoenzymatic Stoichiometry

Chen

Petropoulos

et al. 2022

JGR Biogeosciences

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“…Third, microbial community can alter the stoichiometry of uptake by adapting their preferences of degrading SOM fractions that vary in elemental composition (Moorhead et al, 2012;Li et al, 2021).…”

Section: Soil Microbial Stoichiometrymentioning

confidence: 99%

Upscaling microbial stoichiometric adaptability in SOM turnover: The SESAM Soil Enzyme Steady Allocation Model (v3.0)

Wutzler

Schrumpf

et al. 2022

Preprint

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Abstract. Understanding the coupling of nitrogen (N) and carbon (C) cycles of land ecosystems, requires understanding microbial element use efficiencies of soil organic matter (SOM) decomposition. Whereas important controls of those efficiencies by microbial community adaptations have been shown at the scale of a soil pore, a simplified representation of those controls is needed at the ecosystem scale. However, without abstracting from the many details, models are not identifiable, i.e. can not be fitted without ambiguities to observations. There is a need to find, implement, and validate abstract simplified formulations of theses processes. Therefore, we developed the SESAM model as an ab- straction of the more detailed soil enzyme allocation model (SEAM) model and tested, whether it can provide the same decadal-term predictions. SEAM explicitly models community adaptation strategies of resource allocation to extracellular enzymes and enzyme limitations on SOM decomposition. It thus provides a scaling from representing several microbial functional groups to a single holistic microbial community. Here we further abstracted the model using quasi-steady-state assumption for extracellular enzyme pools to derive the SESAM model. SESAM reproduced the priming effect, the SOM banking mechanism, and the damping of fluctuations of carbon use efficiency with microbial competition as predicted by SEAM and other more detailed models. This development is an important step towards more parsimonious representation of soil microbial effects in global land surface models.

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“…However, the range of adjustment is quite constrained. Third, microbial community can alter the stoichiometry of uptake by adapting their preferences of degrading SOM fractions that vary in elemental composition (Moorhead et al, 2012;Li et al, 2021).…”

Section: Soil Microbial Stoichiometrymentioning

confidence: 99%

Simulating long-term responses of soil organic matter turnover to substrate stoichiometry by abstracting fast and small-scale microbial processes: the Soil Enzyme Steady Allocation Model (SESAM; v3.0)

Wutzler

Schrumpf

et al. 2022

Geosci. Model Dev.

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Abstract. Understanding the coupling of nitrogen (N) and carbon (C) cycles of land ecosystems requires understanding microbial element use efficiencies of soil organic matter (SOM) decomposition. Whereas important controls of those efficiencies by microbial community adaptations have been shown at the scale of a soil pore, a simplified representation of those controls is needed at the ecosystem scale. However, without abstracting from the many details, models are not identifiable; i.e. they cannot be fitted without ambiguities to observations. There is a need to find, implement, and validate abstract simplified formulations of theses processes. Therefore, we developed the Soil Enzyme Allocation Model (SEAM). The model explicitly represents community adaptation strategies of resource allocation to extracellular enzymes and enzyme limitations on SOM decomposition. They thus provide an abstraction from several microbial functional groups to a single holistic microbial community. Here we further simplify SEAM using a quasi-steady-state assumption for extracellular enzyme pools to derive the Soil Enzyme Steady Allocation Model (SESAM) and test whether SESAM can provide the same decadal-term predictions as SEAM. SESAM reproduced the priming effect, the SOM banking mechanism, and the damping of fluctuations in carbon use efficiency with microbial competition as predicted by SEAM and other more detailed models. This development is an important step towards a more parsimonious representation of soil microbial effects in global land surface models.

show abstract

Enhanced carbon acquisition and use efficiency alleviate microbial carbon relative to nitrogen limitation under soil acidification

Cited by 26 publications

References 80 publications

Microbial Carbon Use Efficiency in Coastal Soils Along a Salinity Gradient Revealed by Ecoenzymatic Stoichiometry

Microbial Carbon Use Efficiency in Coastal Soils Along a Salinity Gradient Revealed by Ecoenzymatic Stoichiometry

Upscaling microbial stoichiometric adaptability in SOM turnover: The SESAM Soil Enzyme Steady Allocation Model (v3.0)

Simulating long-term responses of soil organic matter turnover to substrate stoichiometry by abstracting fast and small-scale microbial processes: the Soil Enzyme Steady Allocation Model (SESAM; v3.0)

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