Abstract
Earth system models have predicted that there will be more frequent and severe precipitation and drought events in terrestrial ecosystems. Microbially mediated decomposition of soil organic carbon (SOC) tends to increase as soils wet and decrease as soils dry. However, the long-term SOC change under intensified moisture extremes remains poorly known as it depends on the frequency and intensity of soil drying and wetting. In this study, we explored long-term SOC dynamics under scenarios of alternating drying-wetting cycles using the Microbial-ENzyme Decomposition model, a mechanistic microbial model. The model was parameterized with 11 years of observations from a temperate deciduous broadleaf forest site, showing satisfactory model performance in both model calibration (R2 = 0.67) and validation (R2 = 0.69) against heterotrophic respiration. We then used the model to simulate the long-term SOC dynamics under five scenarios of alternating drying-wetting cycles with different frequencies and severities over a period of 100 years. Results showed that the changes in active microbial biomass C and the corresponding turnover rates of SOC pools were more sensitive to soil drying than soil wetting. As a result, the cumulative soil carbon emission from microbial respiration decreased by 433.7 g C m−2 after the 100-year simulation in the highest frequency and intensity moisture scenario, but was not significantly affected by the lowest frequency and intensity scenario. This study emphasizes the nonlinear response of SOC decomposition to soil moisture changes, which causes decreased decomposition by microbes under drying that is, not compensated by increased decomposition under wetting conditions.
Original language | English |
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Article number | e2021JG006392 |
Journal | Journal of Geophysical Research: Biogeosciences |
Volume | 126 |
Issue number | 8 |
DOIs | |
State | Published - Aug 2021 |
Funding
This work is financially supported by the U.S. Department of Energy (DOE) Office of Biological and Environmental Research through the Terrestrial Ecosystem Science Scientific Focus Area (TES-SFA) at Oak Ridge National Laboratory (ORNL), the Climate Model Development and Validation project, and the Genomic Science Program (Award Number DE-SC0014079). J. Liang at China Agricultural University is supported by Chinese Universities Scientific Fund (2021RC002). ORNL is managed by UT-Battelle, LLC, under contract DE-AC05-00OR22725 with the U.S. DOE. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). This work is financially supported by the U.S. Department of Energy (DOE) Office of Biological and Environmental Research through the Terrestrial Ecosystem Science Scientific Focus Area (TES‐SFA) at Oak Ridge National Laboratory (ORNL), the Climate Model Development and Validation project, and the Genomic Science Program (Award Number DE‐SC0014079). J. Liang at China Agricultural University is supported by Chinese Universities Scientific Fund (2021RC002). ORNL is managed by UT‐Battelle, LLC, under contract DE‐AC05‐00OR22725 with the U.S. DOE. This manuscript has been authored by UT‐Battelle, LLC under Contract No. DE‐AC05‐00OR22725 with the U.S. Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non‐exclusive, paid‐up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ).
Funders | Funder number |
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DOE Public Access Plan | |
United States Government | |
U.S. Department of Energy | |
Biological and Environmental Research | |
Oak Ridge National Laboratory | DE‐SC0014079 |
Chinese Universities Scientific Fund | DE‐AC05‐00OR22725, 2021RC002 |
Keywords
- asymmetric responses
- dormancy
- drought
- microbial decomposition
- moisture extremes
- soil organic carbon
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MOFLUX Intensified Soil Moisture Extremes Decrease Soil Organic Carbon Decomposition: Modeling Archive.
Liang, J. (Creator), Wang, G. (Creator), Singh, S. (Creator), Jagadamma, S. (Creator), Gu, L. (Creator), Schadt, C. (Creator), Wood, J. D. (Creator), Hanson, P. (Creator) & Mayes, M. (Creator), ORNLTESSFA (Oak Ridge National Lab's Terrestrial Ecosystem Science Scientific Focus Area (ORNL TES SFA)), Jan 1 2021
DOI: 10.25581/ornlsfa.023/1804106
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