Micro-scale modelling of carbon turnover driven by microbial succession at a biogeochemical interface

Ingwersen, Joachim; Poll, Christian; Streck, Thilo; Kandeler, Ellen

doi:10.1016/j.soilbio.2007.10.018

Cited by 81 publications

(84 citation statements)

References 44 publications

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“…maximum growth rate, constant of half saturation, mortality and respiration rate for each microbial species -are given in Table 1. The maximal growth rate (ϑ DOM ) estimated between 8 and 17 day −1 was of the same order of magnitude as those found in soil samples by Ingwersen et al (2008) and by Treves et al (2003) (between 1.7 and 44 day −1 ). The mortality rate (µ) was estimated between 0.22 and 1.5 day −1 .…”

Section: Simulation Of Fructose Mineralization In Sand At Two Matric supporting

confidence: 84%

“…Mechanistic representation of small-scale processes is identified as one of the priorities to improve soil organic matter dynamics models (Manzoni and Porporato, 2009). Recent modelling efforts have attempted to understand how microbial processes such as decomposition or competition among species are affected by diffusion in 1-D or 2-D homogeneous porous media (Long and Or, 2009;Ingwersen et al, 2008). A few recent studies have also simulated microbial degradation in structured environments.…”

Section: Introductionmentioning

confidence: 99%

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Simulating microbial degradation of organic matter in a simple porous system using the 3-D diffusion-based model MOSAIC

et al. 2014

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Abstract. This paper deals with the simulation of microbial degradation of organic matter in soil within the pore space at a microscopic scale. Pore space was analysed with microcomputed tomography and described using a sphere network coming from a geometrical modelling algorithm. The biological model was improved regarding previous work in order to include the transformation of dissolved organic compounds and diffusion processes. We tested our model using experimental results of a simple substrate decomposition experiment (fructose) within a simple medium (sand) in the presence of different bacterial strains. Separate incubations were carried out in microcosms using five different bacterial communities at two different water potentials of −10 and −100 cm of water. We calibrated the biological parameters by means of experimental data obtained at high water content, and we tested the model without changing any parameters at low water content. Same as for the experimental data, our simulation results showed that the decrease in water content caused a decrease of mineralization rate. The model was able to simulate the decrease of connectivity between substrate and microorganism due the decrease of water content.

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Section: Simulation Of Fructose Mineralization In Sand At Two Matric supporting

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Simulating microbial degradation of organic matter in a simple porous system using the 3-D diffusion-based model MOSAIC

et al. 2014

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“…The negative correlation between pH and F/B was confirmed in multiple comparison studies that determined that soil with low pH promotes fungi and restrains bacteria [18,24,46,54]. Fungi prefer to live in acidic soil with low available nutrients and high contents of difficult-to-decompose organic matter [28], while bacteria favor soil with abundant nutrients that are highly decomposable [25,55]. Some studies found a positive correlation between C/N and F/B [12,24].…”

Section: The Relationships Of Vegetation Types Soil Properties and mentioning

confidence: 89%

Soil microbial properties under different vegetation types on Mountain Han

Wang

et al. 2013

Sci. China Life Sci.

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“…This strategy enables bacteria to respond to wide nutrient fluctuations as are often found in soils [10,44,45] and not to die off when metabolic requirements cannot be met by the available resources. The physiological state concept and computation (equation 13) were taken from [46] and can also be found in [47].…”

Section: Biodegradation Processes Modelingmentioning

confidence: 99%

Modeling the effect of soil meso- and macropores topology on the biodegradation of a soluble carbon substrate

Vogel

Makowski

Garnier

et al. 2015

Advances in Water Resources

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International audienceSoil structure and interactions between biotic and abiotic processes are increasingly recognized as important for explaining the large uncertainties in the outputs of macroscopic SOM decomposition models. We present a numerical analysis to assess the role of meso- and macropore topology on the biodegradation of a soluble carbon substrate in variably water saturated and pure diffusion conditions . Our analysis was built as a complete factorial design and used a new 3D pore-scale model, LBioS, that couples a diffusion lattice-Boltzmann model and a compartmental biodegradation model. The scenarios combined contrasted modalities of four factors: meso- and macropore space geometry, water saturation, bacterial distribution and physiology. A global sensitivity analysis of these factors highlighted the role of physical factors in the biodegradation kinetics of our scenarios. Bacteria location explained 28% of the total variance in substrate concentration in all scenarios, while the interactions among location, saturation and geometry explained up to 51% of it

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Micro-scale modelling of carbon turnover driven by microbial succession at a biogeochemical interface

Cited by 81 publications

References 44 publications

Simulating microbial degradation of organic matter in a simple porous system using the 3-D diffusion-based model MOSAIC

Simulating microbial degradation of organic matter in a simple porous system using the 3-D diffusion-based model MOSAIC

Soil microbial properties under different vegetation types on Mountain Han

Modeling the effect of soil meso- and macropores topology on the biodegradation of a soluble carbon substrate

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