MOFLUX Intensified Soil Moisture Extremes Decrease Soil Organic Carbon Decomposition: Modeling Archive.

Dataset · Fri Jan 01 00:00:00 EST 2021

DOI:https://doi.org/10.25581/ornlsfa.023/1804106· OSTI ID:1804106

Liang, J.; Wang, G.; Singh, S.; Jagadamma, S.; Gu, L. ; Schadt, C.; Wood, J.D.; Hanson, P.J.; Mayes, M.A.

This Modeling Archive is in support of a TES-SFA publication “Intensified Soil Moisture Extremes Decrease Soil Organic Carbon Decomposition: A Mechanistic Modeling Analysis” (Liang et al., 2021). Here we provide model code, inputs, outputs and evaluation datasets for the Microbial ENzyme Decomposition (MEND) model for the Missouri Ozarks AmeriFlux eddy covariance measurement site (MOFLUX) near Ashland, Missouri USA. The MEND model was developed with explicit representation of microbial and enzyme pools to mechanistically simulate the role of microbial organisms and extracellular enzymes in soil organic carbon (SOC) decomposition. Long-term SOC dynamics under intensified moisture extremes are studied using the MEND model that is parameterized with 11 years of measurements from the MOFLUX forest. The model explicitly represents microbial dormancy and resuscitation, different types of SOC-degrading enzymes, and how they vary with changes in soil moisture (Wang et al. 2015, 2019). A combination of two levels of frequency and severity of soil moisture, as well as a control with normal interannual variability, are used to simulate a range of moisture scenarios over 100 years. The code of Microbial-ENzyme Decomposition (MEND) as well as the input and output data are included in the archive. A user’s manual (MEND_Readme.pdf) is included with instructions for compiling and running the model to simulate soil organic carbon decomposition under various moisture scenarios.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: USDOE Office of Artificial Intelligence and Technology (AITO); USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division
• DOE Contract Number: AC05-00OR22725
• OSTI ID: 1804106
• Country of Publication: United States
• Language: English

Related Subjects

54 ENVIRONMENTAL SCIENCES
MEND model
soil organic carbon (SOC) decomposition
MOFLUX
model code
inputs
outputs
evaluation datasets
Microbial ENzyme Decomposition model