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Title: Soil moisture drives microbial controls on carbon decomposition in two subtropical forests

Abstract

Knowledge of microbial mechanisms is critical to understand Earth's biogeochemical cycle under climate and environmental changes. However, large uncertainties remain in model simulations and predictions due to the lack of explicit parameterization of microbial data and few applications beyond the laboratory. In addition, most experimental and modeling studies of warming-induced changes in soil carbon (C) focus on temperature sensitivity, neglecting concomitant effects of changes in soil moisture. Soil microbes are sensitive to moisture, and their responses can dramatically impact soil biogeochemical cycles. Here we represent microbial and enzymatic functions in response to changes in moisture in the Microbial-ENzyme Decomposition (MEND) model. Through modeling with long-term field observations from subtropical forests, we demonstrate that parameterization with microbial data in addition to respiration fluxes greatly increases confidence in model simulations. We further employ the calibrated model to simulate the responses of soil organic C (SOC) under multiple environmental change scenarios. The model shows significant increases in SOC in response to decreasing soil moisture and only minor changes in SOC in response to increasing soil temperature. Increasing litter inputs also cause a significant increase in SOC in the pine forest, whereas an insignificant negative effect is simulated in the broadleaf forest. We alsomore » demonstrate the co-metabolism mechanism for the priming effects, i.e., more labile inputs to soil could stimulate microbial and enzymatic growth and activity. Furthermore our study provides strong evidence of microbial control over soil C decomposition and suggests the future trajectory of soil C may be more responsive to changes in soil moisture than temperature, particularly in tropical and subtropical environments.« less

Authors:
ORCiD logo [1];  [2]; ORCiD logo [3];  [4];  [5];  [5];  [5];  [5]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Univ. of Oklahoma, Norman, OK (United States)
  2. Chinese Academy of Sciences, Guangzhou (China); Iowa State Univ., Ames, IA (United States)
  3. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  4. South China Agricultural Univ., Guangzhou (China)
  5. Chinese Academy of Sciences, Guangzhou (China)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1510594
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Soil Biology and Biochemistry
Additional Journal Information:
Journal Volume: 130; Journal Issue: C; Journal ID: ISSN 0038-0717
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; Heterotrophic respiration; Microbial model; Soil carbon decomposition; Soil moisture; Soil microbe; Subtropical forests

Citation Formats

Wang, Gangsheng, Huang, Wenjuan, Mayes, Melanie A., Liu, Xiaodong, Zhang, Deqiang, Zhang, Qianmei, Han, Tianfeng, and Zhou, Guoyi. Soil moisture drives microbial controls on carbon decomposition in two subtropical forests. United States: N. p., 2018. Web. doi:10.1016/j.soilbio.2018.12.017.
Wang, Gangsheng, Huang, Wenjuan, Mayes, Melanie A., Liu, Xiaodong, Zhang, Deqiang, Zhang, Qianmei, Han, Tianfeng, & Zhou, Guoyi. Soil moisture drives microbial controls on carbon decomposition in two subtropical forests. United States. https://doi.org/10.1016/j.soilbio.2018.12.017
Wang, Gangsheng, Huang, Wenjuan, Mayes, Melanie A., Liu, Xiaodong, Zhang, Deqiang, Zhang, Qianmei, Han, Tianfeng, and Zhou, Guoyi. Thu . "Soil moisture drives microbial controls on carbon decomposition in two subtropical forests". United States. https://doi.org/10.1016/j.soilbio.2018.12.017. https://www.osti.gov/servlets/purl/1510594.
@article{osti_1510594,
title = {Soil moisture drives microbial controls on carbon decomposition in two subtropical forests},
author = {Wang, Gangsheng and Huang, Wenjuan and Mayes, Melanie A. and Liu, Xiaodong and Zhang, Deqiang and Zhang, Qianmei and Han, Tianfeng and Zhou, Guoyi},
abstractNote = {Knowledge of microbial mechanisms is critical to understand Earth's biogeochemical cycle under climate and environmental changes. However, large uncertainties remain in model simulations and predictions due to the lack of explicit parameterization of microbial data and few applications beyond the laboratory. In addition, most experimental and modeling studies of warming-induced changes in soil carbon (C) focus on temperature sensitivity, neglecting concomitant effects of changes in soil moisture. Soil microbes are sensitive to moisture, and their responses can dramatically impact soil biogeochemical cycles. Here we represent microbial and enzymatic functions in response to changes in moisture in the Microbial-ENzyme Decomposition (MEND) model. Through modeling with long-term field observations from subtropical forests, we demonstrate that parameterization with microbial data in addition to respiration fluxes greatly increases confidence in model simulations. We further employ the calibrated model to simulate the responses of soil organic C (SOC) under multiple environmental change scenarios. The model shows significant increases in SOC in response to decreasing soil moisture and only minor changes in SOC in response to increasing soil temperature. Increasing litter inputs also cause a significant increase in SOC in the pine forest, whereas an insignificant negative effect is simulated in the broadleaf forest. We also demonstrate the co-metabolism mechanism for the priming effects, i.e., more labile inputs to soil could stimulate microbial and enzymatic growth and activity. Furthermore our study provides strong evidence of microbial control over soil C decomposition and suggests the future trajectory of soil C may be more responsive to changes in soil moisture than temperature, particularly in tropical and subtropical environments.},
doi = {10.1016/j.soilbio.2018.12.017},
journal = {Soil Biology and Biochemistry},
number = C,
volume = 130,
place = {United States},
year = {2018},
month = {12}
}

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