A Theory of Effective Microbial Substrate Affinity Parameters in Variably Saturated Soils and an Example Application to Aerobic Soil Heterotrophic Respiration
Abstract
Abstract Affinity parameters are essential for substrate kinetics‐based modeling of soil biogeochemistry. These parameters were originally defined for well‐mixed aqueous solutions to represent enzyme substrate binding. For variably saturated soils, they are often calibrated and highly uncertain. Here we develop a predictive theory of effective substrate affinity parameters to account for other processes that affect microbial substrate acquisition, so that the substrate kinetics for well‐mixed aqueous solutions can be similarly applied to variably saturated soils. The theory is based on an analytical approximation of how diffusive substrates are intercepted by soil microbial cells and integrates microbial characteristics, microsite structure, and soil physical properties. The predicted effective substrate affinity thus closely integrates the physical substrate limitation in soils with the intrinsic substrate affinity parameter. The theory predicts that, as moisture changes, the effective diffusive substrate delivery rates vary by orders of magnitude, resulting in highly variable effective affinity parameters for substrates like oxygen, methane, and nonvolatile solutes. As an example, we apply the theory with three substrate kinetics to aerobic soil incubations. Our models accurately reproduced observations of 32 soil incubations in four soil classes, demonstrating that the soil moisture versus respiration relationship varies with maximum respiration rate, soil texture, soilmore »
- Authors:
-
[1];
[1]
- Earth and Environmental Sciences AreaLawrence Berkeley National Laboratory Berkeley CA USA
- Publication Date:
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1512841
- Alternate Identifier(s):
- OSTI ID: 1512843; OSTI ID: 1572808
- Grant/Contract Number:
- AC02-05CH11231; SCW1632
- Resource Type:
- Published Article
- Journal Name:
- Journal of Geophysical Research. Biogeosciences
- Additional Journal Information:
- Journal Name: Journal of Geophysical Research. Biogeosciences Journal Volume: 124 Journal Issue: 4; Journal ID: ISSN 2169-8953
- Publisher:
- American Geophysical Union
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; soil biogeochemistry; substrate kinetics; soil respiration; Monod kinetics
Citation Formats
Tang, Jinyun, and Riley, William J. A Theory of Effective Microbial Substrate Affinity Parameters in Variably Saturated Soils and an Example Application to Aerobic Soil Heterotrophic Respiration. United States: N. p., 2019.
Web. doi:10.1029/2018JG004779.
Tang, Jinyun, & Riley, William J. A Theory of Effective Microbial Substrate Affinity Parameters in Variably Saturated Soils and an Example Application to Aerobic Soil Heterotrophic Respiration. United States. https://doi.org/10.1029/2018JG004779
Tang, Jinyun, and Riley, William J. Fri .
"A Theory of Effective Microbial Substrate Affinity Parameters in Variably Saturated Soils and an Example Application to Aerobic Soil Heterotrophic Respiration". United States. https://doi.org/10.1029/2018JG004779.
@article{osti_1512841,
title = {A Theory of Effective Microbial Substrate Affinity Parameters in Variably Saturated Soils and an Example Application to Aerobic Soil Heterotrophic Respiration},
author = {Tang, Jinyun and Riley, William J.},
abstractNote = {Abstract Affinity parameters are essential for substrate kinetics‐based modeling of soil biogeochemistry. These parameters were originally defined for well‐mixed aqueous solutions to represent enzyme substrate binding. For variably saturated soils, they are often calibrated and highly uncertain. Here we develop a predictive theory of effective substrate affinity parameters to account for other processes that affect microbial substrate acquisition, so that the substrate kinetics for well‐mixed aqueous solutions can be similarly applied to variably saturated soils. The theory is based on an analytical approximation of how diffusive substrates are intercepted by soil microbial cells and integrates microbial characteristics, microsite structure, and soil physical properties. The predicted effective substrate affinity thus closely integrates the physical substrate limitation in soils with the intrinsic substrate affinity parameter. The theory predicts that, as moisture changes, the effective diffusive substrate delivery rates vary by orders of magnitude, resulting in highly variable effective affinity parameters for substrates like oxygen, methane, and nonvolatile solutes. As an example, we apply the theory with three substrate kinetics to aerobic soil incubations. Our models accurately reproduced observations of 32 soil incubations in four soil classes, demonstrating that the soil moisture versus respiration relationship varies with maximum respiration rate, soil texture, soil carbon content, and microbial biomass. This example suggests that the traditional use of a single static multiplicative function to parameterize how soil respiration depends on moisture is inappropriate. Because of its capability to integrate microbial traits and soil physical properties, our theory will help develop more robust soil biogeochemistry models.},
doi = {10.1029/2018JG004779},
journal = {Journal of Geophysical Research. Biogeosciences},
number = 4,
volume = 124,
place = {United States},
year = {Fri Apr 12 00:00:00 EDT 2019},
month = {Fri Apr 12 00:00:00 EDT 2019}
}
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