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Mineral properties, microbes, transport, and plant-input profiles control vertical distribution and age of soil carbon stocks

Journal Article · · Soil Biology and Biochemistry
 [1];  [1];  [1];  [1];  [2];  [1]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). Earth and Environmental Sciences Area
  2. Univ. of Sydney, NSW (Australia). School of Civil Engineering
The role of organo-mineral interactions, microbial dynamics, and vertical plant input profiles are hypothesized to be important in controlling soil organic matter (SOM) stocks and dynamics. In this paper, to test this hypothesis, we enhanced and applied a model (Biotic and Abiotic Model of SOM – BAMS1) that represents microbial dynamics and organo-mineral interactions integrated with a multiphase reactive transport solver for variably saturated porous media. The model represents aqueous chemistry, aqueous advection and diffusion, gaseous diffusion, sorption processes, bacterial and fungal activity, and archetypal monomer- and polymer-carbon substrate groups, including dead cell wall material. This model structure is fundamentally different, and produces different SOM dynamics, than the pseudo-first order relationships that are used in most site- and global-scale terrestrial SOM models. We simulated two grasslands, a seven-site chronosequence (~3.9–240 Ky) in Northern California, and a Russian Chernozem site where soils were sampled 100 years apart. We calibrated the model's vertically-resolved soil bulk specific surface area (SBSSA) using observed bulk SOM content, and then tested the model against observed Δ14C profiles. The modeled microbial processes, organo-mineral interactions, and vertical aqueous transport produced realistic vertically-resolved predictions of bulk SOM content, Δ14C values of SOM, lignin content, and fungi-to-aerobic bacteria biomass ratios. Using sensitivity analyses, we found that vertical carbon input profiles were important controls over the Δ14C depth distribution. Shallower carbon input profiles lead to older carbon at depth. In addition, the SBSSA was the dominant control over the magnitude and vertical distribution of SOM stocks. Finally, the findings of this study demonstrate the value of explicitly incorporating microbial activity, sorption, and vertical transport into land models to predict SOM dynamics.
Research Organization:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1471030
Alternate ID(s):
OSTI ID: 1419401
Journal Information:
Soil Biology and Biochemistry, Journal Name: Soil Biology and Biochemistry Vol. 107; ISSN 0038-0717
Publisher:
ElsevierCopyright Statement
Country of Publication:
United States
Language:
English

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Comparison of Field and Laboratory Wet Soil Spectra in the Vis-NIR Range for Soil Organic Carbon Prediction in the Absence of Laboratory Dry Measurements journal September 2020
Morphogenesis of a Floodplain as a Criterion for Assessing the Susceptibility to Water Pollution in an Agriculturally Rich Valley of a Lowland River journal March 2018
Unifying soil organic matter formation and persistence frameworks: the MEMS model posted_content October 2018
The Millennial model: in search of measurable pools and transformations for modeling soil carbon in the new century journal December 2017
Multiple models and experiments underscore large uncertainty in soil carbon dynamics journal October 2018
Soil Organic Matter Temperature Sensitivity Cannot be Directly Inferred From Spatial Gradients journal June 2019
A Theory of Effective Microbial Substrate Affinity Parameters in Variably Saturated Soils and an Example Application to Aerobic Soil Heterotrophic Respiration journal April 2019
Comparison With Global Soil Radiocarbon Observations Indicates Needed Carbon Cycle Improvements in the E3SM Land Model journal May 2019
Soil Organic Carbon Stabilization in the Three Subtropical Forests: Importance of Clay and Metal Oxides journal October 2019
Comparison of Electrostatic and Non-Electrostatic Models for U(VI) Sorption on Aquifer Sediments: B. Arora et al. Groundwater XX, no. X: XX-XX journal July 2017
SUPECA kinetics for scaling redox reactions in networks of mixed substrates and consumers and an example application to aerobic soil respiration journal January 2017
The use of radiocarbon 14C to constrain carbon dynamics in the soil module of the land surface model ORCHIDEE (SVN r5165) journal January 2018
ORCHIDEE-SOM: modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe journal January 2018
ORCHIDEE-SOM: Modeling soil organic carbon (SOC) and dissolved organic carbon (DOC) dynamics along vertical soil profiles in Europe posted_content November 2017

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