Modeling Interactive Effects of Manganese Bioavailability, Nitrogen Deposition, and Warming on Soil Carbon Storage

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Abstract

Manganese (Mn) is a redox-active micronutrient that has been shown to accelerate plant litter decomposition; however, the effect of Mn-promoted decomposition on soil C storage is unclear. We present a novel biogeochemical model simulating how Mn bioavailability influences soil organic C (SOC) stocks in a soil profile (<50 cm) within a temperate forest. In our model, foliar Mn increased in response to increasing soluble Mn released through Mn-oxide (birnessite) dissolution in mineral soil layers. The ensuing Mn enrichment in leaf litter redistributed Mn to the surface forest floor layer, promoted enzymatic oxidation of lignin, and decreased SOC stocks. Total SOC loss was partially mitigated by accumulation of lignin-oxidation products as mineral-associated organic C. We also explored how Mn-driven changes to C storage interacted with effects of N deposition and warming. Nitrogen enrichment inhibited Mn-dependent lignin degradation, increasing SOC stocks and weakening their dependence on Mn bioavailability. Warming stimulated decomposition and reduced C stocks but was less effective at low Mn bioavailability. Our model results suggest that SOC stocks are sensitive to Mn bioavailability because increased plant uptake redistributes Mn to surface soils where it can enhance litter decomposition. Based on our simulations, we predict that Mn becomes limiting to litter decomposition where Mn is poorly soluble. Depletion of bioavailable Mn or other cofactors that are critical to decomposition could limit the response of organic C stocks to warming over time, but quantitative projections of the role of Mn bioavailability in regulating decomposition requires additional measurements to constrain model uncertainties.

Original languageEnglish
Article numbere2023JG007830
JournalJournal of Geophysical Research: Biogeosciences
Volume129
Issue number5
DOIs
StatePublished - May 2024

Funding

This work was sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT-Battelle, LCC for the US Department of Energy under contract DE-AC05-00OR22725, and was in part supported by a grant from the National Science Foundation Geobiology and Low-temperature Geochemistry program (EAR–1749849). This research used resources of the Compute and Data Environment for Science (CADES) at the Oak Ridge National Laboratory. The Alquimia biogeochemistry API and wrapper library was originally developed as part of the DOE ASCEM project and is an interoperable component of the Department of Energy's IDEAS-Watersheds (https://ideas-productivity.org/) software productivity project. BNS and EMH were also supported by the U.S. Department of Energy Office of Science Early Career Research program as part of research in Earth System Model Development within the Earth and Environmental Systems Modeling Program (BNS) and through Environmental Systems Science (EMH) within the Biological and Environmental Research program. This work was sponsored by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, managed by UT‐Battelle, LCC for the US Department of Energy under contract DE‐AC05‐00OR22725, and was in part supported by a grant from the National Science Foundation Geobiology and Low‐temperature Geochemistry program (EAR–1749849). This research used resources of the Compute and Data Environment for Science (CADES) at the Oak Ridge National Laboratory. The Alquimia biogeochemistry API and wrapper library was originally developed as part of the DOE ASCEM project and is an interoperable component of the Department of Energy's IDEAS‐Watersheds ( https://ideas‐productivity.org/ ) software productivity project. BNS and EMH were also supported by the U.S. Department of Energy Office of Science Early Career Research program as part of research in Earth System Model Development within the Earth and Environmental Systems Modeling Program (BNS) and through Environmental Systems Science (EMH) within the Biological and Environmental Research program.

Keywords

  • biogeochemical modeling
  • climate change
  • manganese
  • nitrogen
  • soil organic carbon

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