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Model output from simulations of manganese-carbon interactions in temperate forest soil profiles

Dataset ·
DOI:https://doi.org/10.15485/2324642· OSTI ID:2324642
This archive contains model output, code, and scripts for simulations of coupled manganese-carbon cycling in temperate forest soil profiles. These model results were generated as part of a study investigating how manganese availability influences soil organic carbon stocks and demonstrating a new model framework for coupling carbon and manganese cycling. The simulations were in support of a manuscript: "Modeling interactive effects of manganese bioavailability, nitrogen deposition, and warming on soil carbon storage." The study addresses the research questions: How does Mn bioavailability, as driven by subsurface mineral properties, pH, and redox status, affect temperate forest soil organic carbon and litter carbon stocks?How is the relationship between Mn bioavailability and carbon cycling affected by changes in temperature and nitrogen deposition?"Model simulations were conducted in a reactive transport modeling framework using PFLOTRAN coupled to python. Multiple model simulations testing different Mn-bearing mineral solubilities, hydrological patterns, nitrogen deposition rates, and temperatures are included. Soil properties, including total and exchangeable Mn concentrations, are based on values reported for the Susquehanna Shale Hills Critical Zone Observatory (SSHCZO), a temperate forested watershed in central Pennsylvania, U.S.A where Mn cycling through vegetation has been documented.File formats include netCDF (.nc), python script (.py), shell script (.sh), plain text PFLOTRAN input file (.in), and plain text PFLOTRAN database file (.dat), and gzipped tar archive (tar.gz).
Research Organization:
Environmental System Science Data Infrastructure for a Virtual Ecosystem; Simulating estuarine wetland function: Nitrogen removal, carbon sequestration, and greenhouse gas fluxes at the river-land-ocean interface
Sponsoring Organization:
U.S. DOE > Office of Science > Biological and Environmental Research (BER); U.S. DOE > Laboratory Directed Research and Development (LDRD) > Oak Ridge National Laboratory
DOE Contract Number:
AC05-00OR22725
OSTI ID:
2324642
Country of Publication:
United States
Language:
English

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