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Title: Intensified Soil Moisture Extremes Decrease Soil Organic Carbon Decomposition: A Mechanistic Modeling Analysis

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 inmore » 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.« less

Authors:
ORCiD logo [1]; ORCiD logo [2];  [3]; ORCiD logo [3]; ORCiD logo [4]; ORCiD logo [4]; ORCiD logo [5]; ORCiD logo [4]; ORCiD logo [4]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); China Agricultural University, Beijing (China)
  2. Univ. of Oklahoma, Norman, OK (United States)
  3. Univ. of Tennessee, Knoxville, TN (United States)
  4. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  5. Univ. of Missouri, Columbia, MO (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER); Chinese Universities Scientific Fund
OSTI Identifier:
1820752
Grant/Contract Number:  
AC05-00OR22725; SC0014079
Resource Type:
Accepted Manuscript
Journal Name:
Journal of Geophysical Research. Biogeosciences
Additional Journal Information:
Journal Volume: 126; Journal Issue: 8; Journal ID: ISSN 2169-8953
Publisher:
American Geophysical Union
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES

Citation Formats

Liang, Junyi, Wang, Gangsheng, Singh, Shikha, Jagadamma, Sindhu, Gu, Lianhong, Schadt, Christopher Warren, Wood, Jeffrey D., Hanson, Paul J., and Mayes, Melanie A. Intensified Soil Moisture Extremes Decrease Soil Organic Carbon Decomposition: A Mechanistic Modeling Analysis. United States: N. p., 2021. Web. doi:10.1029/2021jg006392.
Liang, Junyi, Wang, Gangsheng, Singh, Shikha, Jagadamma, Sindhu, Gu, Lianhong, Schadt, Christopher Warren, Wood, Jeffrey D., Hanson, Paul J., & Mayes, Melanie A. Intensified Soil Moisture Extremes Decrease Soil Organic Carbon Decomposition: A Mechanistic Modeling Analysis. United States. https://doi.org/10.1029/2021jg006392
Liang, Junyi, Wang, Gangsheng, Singh, Shikha, Jagadamma, Sindhu, Gu, Lianhong, Schadt, Christopher Warren, Wood, Jeffrey D., Hanson, Paul J., and Mayes, Melanie A. Thu . "Intensified Soil Moisture Extremes Decrease Soil Organic Carbon Decomposition: A Mechanistic Modeling Analysis". United States. https://doi.org/10.1029/2021jg006392. https://www.osti.gov/servlets/purl/1820752.
@article{osti_1820752,
title = {Intensified Soil Moisture Extremes Decrease Soil Organic Carbon Decomposition: A Mechanistic Modeling Analysis},
author = {Liang, Junyi and Wang, Gangsheng and Singh, Shikha and Jagadamma, Sindhu and Gu, Lianhong and Schadt, Christopher Warren and Wood, Jeffrey D. and Hanson, Paul J. and Mayes, Melanie A.},
abstractNote = {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.},
doi = {10.1029/2021jg006392},
journal = {Journal of Geophysical Research. Biogeosciences},
number = 8,
volume = 126,
place = {United States},
year = {Thu Aug 05 00:00:00 EDT 2021},
month = {Thu Aug 05 00:00:00 EDT 2021}
}

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