scholarly journals SUPECA kinetics for scaling redox reactions in networks of mixed substrates and consumers and an example application to aerobic soil respiration

2017 ◽  
Vol 10 (9) ◽  
pp. 3277-3295 ◽  
Author(s):  
Jin-Yun Tang ◽  
William J. Riley

Abstract. Several land biogeochemical models used for studying carbon–climate feedbacks have begun explicitly representing microbial dynamics. However, to our knowledge, there has been no theoretical work on how to achieve a consistent scaling of the complex biogeochemical reactions from microbial individuals to populations, communities, and interactions with plants and mineral soils. We focus here on developing a mathematical formulation of the substrate–consumer relationships for consumer-mediated redox reactions of the form A + BE→  products, where products could be, e.g., microbial biomass or bioproducts. Under the quasi-steady-state approximation, these substrate–consumer relationships can be formulated as the computationally difficult full equilibrium chemistry problem or approximated analytically with the dual Monod (DM) or synthesizing unit (SU) kinetics. We find that DM kinetics is scaling inconsistently for reaction networks because (1) substrate limitations are not considered, (2) contradictory assumptions are made regarding the substrate processing rate when transitioning from single- to multi-substrate redox reactions, and (3) the product generation rate cannot be scaled from one to multiple substrates. In contrast, SU kinetics consistently scales the product generation rate from one to multiple substrates but predicts unrealistic results as consumer abundances reach large values with respect to their substrates. We attribute this deficit to SU's failure to incorporate substrate limitation in its derivation. To address these issues, we propose SUPECA (SU plus the equilibrium chemistry approximation – ECA) kinetics, which consistently imposes substrate and consumer mass balance constraints. We show that SUPECA kinetics satisfies the partition principle, i.e., scaling invariance across a network of an arbitrary number of reactions (e.g., as in Newton's law of motion and Dalton's law of partial pressures). We tested SUPECA kinetics with the equilibrium chemistry solution for some simple problems and found SUPECA outperformed SU kinetics. As an example application, we show that a steady-state SUPECA-based approach predicted an aerobic soil respiration moisture response function that agreed well with laboratory observations. We conclude that, as an extension to SU and ECA kinetics, SUPECA provides a robust mathematical representation of complex soil substrate–consumer interactions and can be applied to improve Earth system model (ESM) land models.

2017 ◽  
Author(s):  
Jinyun Tang ◽  
William J. Riley

Abstract. Several land biogeochemical models used for studying carbon-climate feedbacks have begun explicitly representing microbial processes. However, to our knowledge, there has been no theoretical work on how to achieve a consistent scaling of the complex biogeochemical reactions from microbial individuals to populations, communities, and interactions with plants and mineral soils. We here study this scaling problem by focusing on the substrate-consumer relationships for consumer mediated redox reactions of the form A + B     E → products, where products could be microbial biomass and different bio-products. Under the quasi-steady-state approximation, these substrate-consumer relationships can be formulated as the computationally difficult full Equilibrium Chemistry problem, which is then usually approximated analytically with the popular Dual Monod (DM) kinetics and Synthesizing Unit (SU) kinetics. However, we found that the DM kinetics is scaling inconsistent for reaction networks because it (1) does not incorporate substrate limitation in its derivation, (2) invokes contradictory assumptions regarding the substrate processing rate when transitioning from single substrate reactions to two-substrate redox reactions, and (3) cannot scale the product generation rate from one to multiple substrates. In contrast, the SU kinetics can consistently scale the product generation rate from one to multiple substrates, but suffers from the deficit that as the consumer abundance approaches infinity, it predicts singular infinite reaction rates even for limited substrates. We attribute this deficit to SU’s failure to incorporate the substrate limitation in its derivation and remedy SU with the proposed SUPECA (SU Plus Equilibrium Chemistry Approximation) kinetics, which consistently imposes the mass balance constraints from both substrates and consumers on consumer-substrate interactions in calculating redox reaction rates. Moreover, we show the SUPECA kinetics satisfies the partition principle as in theories like Newton's Law of motion and Dalton’s law of partial pressures, such that its mathematical manifestation is scaling invariant when transitioning from an individual reaction to a network of many reactions. We benchmarked the SUPECA kinetics with the equilibrium chemistry solution for some simple problem configurations and found SUPECA outperformed the SU kinetics. In applying the SUPECA kinetics to aerobic soil respiration, we found SUPECA predicted consistent but variable moisture response functions that agreed well to those derived from incubation data. We finally discuss how the SUPECA kinetics could help Earth System Models consistently incorporate more biogeochemical reactions to improve their biogeochemical modules.


2014 ◽  
Vol 11 (14) ◽  
pp. 3721-3728 ◽  
Author(s):  
J. Y. Tang ◽  
W. J. Riley

Abstract. Representation of gaseous diffusion in variably saturated near-surface soils is becoming more common in land biogeochemical models, yet the formulations and numerical solution algorithms applied vary widely. We present three different but equivalent formulations of the dual-phase (gaseous and aqueous) tracer diffusion transport problem that is relevant to a wide class of volatile tracers in land biogeochemical models. Of these three formulations (i.e., the gas-primary, aqueous-primary, and bulk-tracer-based formulations), we contend that the gas-primary formulation is the most convenient for modeling tracer dynamics in biogeochemical models. We then provide finite volume approximation to the gas-primary equation and evaluate its accuracy against three analytical models: one for steady-state soil CO2 dynamics, one for steady-state soil CH4 dynamics, and one for transient tracer diffusion from a constant point source into two different sequentially aligned medias. All evaluations demonstrated good accuracy of the numerical approximation. We expect our result will standardize an efficient mechanistic numerical method for solving relatively simple, multi-phase, one-dimensional diffusion problems in land models.


1988 ◽  
Vol 34 (12) ◽  
pp. 2486-2489 ◽  
Author(s):  
F Keller ◽  
C Emde ◽  
A Schwarz

Abstract Enzyme kinetics are usually described by the Michaelis-Menten equation, where the time-dependent decrease of substrate (-dS/dt) is a hyperbolic function of maximal velocity (Vmax), Michaelis constant (Km), and amount of substrate (S). Because the Michaelis-Menten function in its most general meaning requires an assumption of steady-state, it is less curvilinear than true enzyme kinetics. A saturation-type exponential function is more curvilinear than the hyperbolic function and more closely approximates enzyme kinetics: -dS/dt = Vmax [1 - exp(-S/Km)]. The mathematical representation of enzyme kinetics can be further improved by introducing a deceleration term (Vdec), to make the assumption of a steady state unnecessary. For the action of chymotrypsin on N-acetyltyrosylethylester, the Michaelis-Menten equation yields the following: Vmax = 3.74 mumol/min and Km = 833 mumol. According to decelerated enzyme kinetics, the values Vmax = 4.80 mumol/min, Vdec = 0.0118 mumol/min, and the association constant (Ka) = 0.00111/mumol are more nearly accurate for this reaction (where 1/Ka = 901 mumol approximately Km).


2016 ◽  
Vol 21 (4) ◽  
pp. 805-826
Author(s):  
B. Fijałkowski

Abstract In this article, a new mathematical representation of the sinusoidal alternating velocity, force and power by means of some complex quantities, termed ‘holors’ is proposed. The word holor is a term to describe a mathematical entity that is made up of one or more independent quantities, and includes complex numbers, scalars, vectors, matrices, tensors and other hypernumbers. Holors, thus defined, have been known for centuries but each has been developed more or less independently, accompanied by separate nomenclature and theory.


2021 ◽  
Author(s):  
Xiaolu Tang ◽  
Yuehong Shi ◽  
Xinrui Luo ◽  
Liang Liu ◽  
Jinshi Jian ◽  
...  

<p>Belowground or ‘soil’ autotrophic respiration (RAsoil) depends on carbohydrates from photosynthesis flowing to roots and rhizospheres, and is one of the most important but uncertain components in forest carbon cycling. Carbon allocation plays an important role in forest carbon cycling and reflects forest adaptation to changing environmental conditions. However, carbon allocation to RAsoil is rarely measured directly and has not been fully examined at the global scale. To fill this knowledge gap, the spatio-temporal patterns of RAsoil with a spatial resolution of half degree from 1981 to 2017 were predicted by Random Forest (RF) algorithm using the most updated Global Soil Respiration Database (v5) with global environmental variables; carbon allocation from photosynthesis to RAsoil (CAsoil), was calculated as the ratio of RAsoil to gross primary production (GPP); and its temporal and spatial patterns were assessed in global forest ecosystems. We found strong temporal and spatial variabilities of RAsoil with an increasing trend from boreal forests to tropical forests. Globally, mean RAsoil from forests was 8.9 ± 0.08 Pg C yr<sup>-1</sup> (mean ± standard deviation) from 1981 to 2017 increasing at a rate of 0.0059 Pg C yr<sup>-2</sup>, paralleling broader soil respiration changes and indicating an increasing carbon loss respired by roots. Mean CAsoil was 0.243 ± 0.016 and showed a decreasing trend over time, although there were interannual variabilities, indicating that CAsoil was sensitive to environmental changes. The temporal trend of CAsoil varied greatly in space, reflecting uneven responses of CAsoil to environmental changes. The spatio-temporal variability of carbon allocation should be considered in global biogeochemical models to accurately predict belowground carbon cycling in an era of ongoing climate change. </p>


1985 ◽  
Vol 107 (3) ◽  
pp. 663-669 ◽  
Author(s):  
D. Evans ◽  
S. W. Webb ◽  
J. C. Chen

Axially varying vapor superheats in convective film boiling have been measured for water flowing in a vertical tube at low to moderate pressures and mass flow rates. Using a slow “reflood” process, measurements of wall temperature and nonequilibrium vapor temperature were obtained as functions of distance from the quench front. With the low quench front velocity, the time required to progapate the front a few millimeters corresponds to many fluid residence times, and the thermal hydraulic data thus obtained are quasi-steady state. These experimental results indicate a zone near the quench front where the vapor generation rate is relatively high, followed by a far zone where the generation rate drops off to a relatively low magnitude. The data obtained agree with the very limited previously reported steady-state data. Comparison with existing heat transfer models shows the models give poor predictions of vapor superheats but reasonable predictions of wall heat fluxes.


2014 ◽  
Vol 11 (1) ◽  
pp. 1587-1611
Author(s):  
J. Y. Tang ◽  
W. J. Riley

Abstract. Representation of gaseous diffusion in variably saturated near-surface soils is becoming more common in land biogeochemical models, yet the formulations and numerical solution algorithms applied vary widely. We present three different but equivalent formulations of the dual-phase (gaseous and aqueous) tracer diffusion transport problem that is relevant to a wide class of volatile tracers in land biogeochemical models. Of these three formulations (i.e., the gas-primary, aqueous-primary, and bulk tracer based formulations), we contend the gas-primary formulation is the most convenient for modeling tracer dynamics in biogeochemical models. We then provide finite volume approximation to the gas-primary equation and evaluate its accuracy against three analytical models: one for steady-state soil CO2 dynamics, one for steady-state soil CO2 dynamics, and one for transient tracer diffusion from a constant point source into two different sequentially aligned medias. All evaluations demonstrated good accuracy of the numerical approximation. We expect our result will standardize an efficient mechanistic numerical method for solving relatively simple, multi-phase, one-dimensional diffusion problems in land models.


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