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Title: Biological Mechanisms May Contribute to Soil Carbon Saturation Patterns: Modeling Archive

Abstract

This Modeling Archive is in support of a TES-SFA publication “Biological Mechanisms May Contribute to Soil Carbon Saturation Patterns” (Craig et al., 2021). We ran and evaluated a multi-assumption soil organic carbon (SOC) model to investigate whether alternative assumptions regarding constraints on soil microbial biomass could lead to soil carbon saturation patterns. We developed this model in the Multi-Assumption Architecture and Testbed (MAAT, https://github.com/walkeranthonyp/MAAT, tag: v1.2.1_Craig2021). Using MAAT, we embedded three alternative hypotheses in a microbially explicit three-pool SOC model: 1) the efficiency of mineral-associated SOC formation decreases as mineral-associated SOC approaches a maximum value (“Mineral saturation”), 2) the microbial biomass turnover rate increases with increasing microbial biomass (“Density-dependent turnover”), and 3) community carbon use efficiency decreases as microbial biomass increases toward an upper limit (“Density-dependent growth”). We ran a factorial combination of these hypotheses resulting in eight models for three different classes of model (linear decay, Michaelis-Menten decay, or reverse Michaelis-Menten decay), resulting in 24 models, 12 of which are presented or discussed in the related publication. Further model details are available in the related publication. This archive contains output from three MAAT simulations, and scripts to run these simulations and process and plot the data. Simulations are labeledmore » “lin”, “MM_highKm”, and “RMM_highKm” reflecting factorial runs for linear, Michealis-Menten, and reverse Michaelis-Menten models, respectively.« less

Authors:
ORCiD logo ; ORCiD logo
Publication Date:
DOE Contract Number:  
AC05-00OR22725
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER). Earth and Environmental Systems Science Division
Subject:
54 ENVIRONMENTAL SCIENCES
Keywords:
multi-assumption soil organic carbon model, MAAT, carbon use efficiency, Multi-Assumption Architecture and Testbed, soil microbial biomass
Geolocation:
35.9311, -84.31
OSTI Identifier:
1768048
DOI:
https://doi.org/10.25581/ornlsfa.022/1768048
Project Location:
Oak Ridge National Laboratory (ORNL)

Citation Formats

Craig, M.E., and Walker, A.P. Biological Mechanisms May Contribute to Soil Carbon Saturation Patterns: Modeling Archive. United States: N. p., 2021. Web. doi:10.25581/ornlsfa.022/1768048.
Craig, M.E., & Walker, A.P. Biological Mechanisms May Contribute to Soil Carbon Saturation Patterns: Modeling Archive. United States. doi:https://doi.org/10.25581/ornlsfa.022/1768048
Craig, M.E., and Walker, A.P. 2021. "Biological Mechanisms May Contribute to Soil Carbon Saturation Patterns: Modeling Archive". United States. doi:https://doi.org/10.25581/ornlsfa.022/1768048. https://www.osti.gov/servlets/purl/1768048. Pub date:Fri Jan 01 00:00:00 EST 2021
@article{osti_1768048,
title = {Biological Mechanisms May Contribute to Soil Carbon Saturation Patterns: Modeling Archive},
author = {Craig, M.E. and Walker, A.P.},
abstractNote = {This Modeling Archive is in support of a TES-SFA publication “Biological Mechanisms May Contribute to Soil Carbon Saturation Patterns” (Craig et al., 2021). We ran and evaluated a multi-assumption soil organic carbon (SOC) model to investigate whether alternative assumptions regarding constraints on soil microbial biomass could lead to soil carbon saturation patterns. We developed this model in the Multi-Assumption Architecture and Testbed (MAAT, https://github.com/walkeranthonyp/MAAT, tag: v1.2.1_Craig2021). Using MAAT, we embedded three alternative hypotheses in a microbially explicit three-pool SOC model: 1) the efficiency of mineral-associated SOC formation decreases as mineral-associated SOC approaches a maximum value (“Mineral saturation”), 2) the microbial biomass turnover rate increases with increasing microbial biomass (“Density-dependent turnover”), and 3) community carbon use efficiency decreases as microbial biomass increases toward an upper limit (“Density-dependent growth”). We ran a factorial combination of these hypotheses resulting in eight models for three different classes of model (linear decay, Michaelis-Menten decay, or reverse Michaelis-Menten decay), resulting in 24 models, 12 of which are presented or discussed in the related publication. Further model details are available in the related publication. This archive contains output from three MAAT simulations, and scripts to run these simulations and process and plot the data. Simulations are labeled “lin”, “MM_highKm”, and “RMM_highKm” reflecting factorial runs for linear, Michealis-Menten, and reverse Michaelis-Menten models, respectively.},
doi = {10.25581/ornlsfa.022/1768048},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Jan 01 00:00:00 EST 2021},
month = {Fri Jan 01 00:00:00 EST 2021}
}

Works referenced in this record:

Organic-matter decomposition along a temperature gradient in a forested headwater stream
journal, June 2016


Influence of dual nitrogen and phosphorus additions on nutrient uptake and saturation kinetics in a forested headwater stream
journal, December 2018