A moisture function of soil heterotrophic respiration that incorporates microscale processes
Abstract
Soil heterotrophic respiration (HR) is an important source of soil-to-atmosphere CO2 flux, but its response to changes in soil water content (θ) is poorly understood. Earth system models (ESMs) commonly use empirical moisture functions to describe the HR-θ relationship, introducing significant uncertainty in predicting CO2 flux from soils. Generalized, mechanistic models that address this uncertainty are thus urgently needed. Here we derive, test, and calibrate a novel moisture function, fm, that encapsulates primary physicochemical processes controlling soil HR. We validated fm using simulation results and published experimental data, and established the quantitative relationships between parameters of fm and measurable soil properties, which enables fm to predict the HR-θ relationships for different soils across spatial scales. The fm function generated comparable HR-θ relationships with laboratory and field measurements. It may thus reduce uncertainty in predicting the response of soil organic carbon stocks to climate change compared with the empirical moisture functions currently used in ESMs.
- Authors:
-
- Tianjin Univ. (China)
- Pacific Northwest National Lab.-Univ. of Maryland Joint Global Climate Change Research Inst., College Park, MD (United States)
- Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
- Chinese Academy of Sciences (CAS), Guiyang (China)
- Southern Univ. of Science and Technology, Shenzhen (China)
- Publication Date:
- Research Org.:
- Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1490304
- Report Number(s):
- PNNL-SA-126718
Journal ID: ISSN 2041-1723
- Grant/Contract Number:
- AC05-76RL01830
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Nature Communications
- Additional Journal Information:
- Journal Volume: 9; Journal Issue: 1; Journal ID: ISSN 2041-1723
- Publisher:
- Nature Publishing Group
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES
Citation Formats
Yan, Zhifeng, Bond-Lamberty, Ben, Todd-Brown, Katherine E., Bailey, Vanessa L., Li, SiLiang, Liu, CongQiang, and Liu, Chongxuan. A moisture function of soil heterotrophic respiration that incorporates microscale processes. United States: N. p., 2018.
Web. doi:10.1038/s41467-018-04971-6.
Yan, Zhifeng, Bond-Lamberty, Ben, Todd-Brown, Katherine E., Bailey, Vanessa L., Li, SiLiang, Liu, CongQiang, & Liu, Chongxuan. A moisture function of soil heterotrophic respiration that incorporates microscale processes. United States. https://doi.org/10.1038/s41467-018-04971-6
Yan, Zhifeng, Bond-Lamberty, Ben, Todd-Brown, Katherine E., Bailey, Vanessa L., Li, SiLiang, Liu, CongQiang, and Liu, Chongxuan. Mon .
"A moisture function of soil heterotrophic respiration that incorporates microscale processes". United States. https://doi.org/10.1038/s41467-018-04971-6. https://www.osti.gov/servlets/purl/1490304.
@article{osti_1490304,
title = {A moisture function of soil heterotrophic respiration that incorporates microscale processes},
author = {Yan, Zhifeng and Bond-Lamberty, Ben and Todd-Brown, Katherine E. and Bailey, Vanessa L. and Li, SiLiang and Liu, CongQiang and Liu, Chongxuan},
abstractNote = {Soil heterotrophic respiration (HR) is an important source of soil-to-atmosphere CO2 flux, but its response to changes in soil water content (θ) is poorly understood. Earth system models (ESMs) commonly use empirical moisture functions to describe the HR-θ relationship, introducing significant uncertainty in predicting CO2 flux from soils. Generalized, mechanistic models that address this uncertainty are thus urgently needed. Here we derive, test, and calibrate a novel moisture function, fm, that encapsulates primary physicochemical processes controlling soil HR. We validated fm using simulation results and published experimental data, and established the quantitative relationships between parameters of fm and measurable soil properties, which enables fm to predict the HR-θ relationships for different soils across spatial scales. The fm function generated comparable HR-θ relationships with laboratory and field measurements. It may thus reduce uncertainty in predicting the response of soil organic carbon stocks to climate change compared with the empirical moisture functions currently used in ESMs.},
doi = {10.1038/s41467-018-04971-6},
journal = {Nature Communications},
number = 1,
volume = 9,
place = {United States},
year = {Mon Jul 02 00:00:00 EDT 2018},
month = {Mon Jul 02 00:00:00 EDT 2018}
}
Web of Science
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A Unifying Quantitative Analysis of Soil Texture1
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Effect of Water-Filled Pore Space on Carbon Dioxide and Nitrous Oxide Production in Tilled and Nontilled Soils1
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Toward more realistic projections of soil carbon dynamics by Earth system models
text, January 2016
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The moisture response of soil heterotrophic respiration: interaction with soil properties
journal, January 2012
- Moyano, F. E.; Vasilyeva, N.; Bouckaert, L.
- Biogeosciences, Vol. 9, Issue 3
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- Biogeosciences, Vol. 16, Issue 6
Evaluating the E3SM land model version 0 (ELMv0) at a temperate forest site using flux and soil water measurements
journal, January 2019
- Liang, Junyi; Wang, Gangsheng; Ricciuto, Daniel M.
- Geoscientific Model Development, Vol. 12, Issue 4
Coupling between the terrestrial carbon and water cycles-a review
text, January 2019
- Gentine, Pierre; Green, Julia K.; Guérin, Marceau
- ETH Zurich
On the role of soil water retention characteristic on aerobic microbial respiration
journal, January 2019
- Ghezzehei, Teamrat A.; Sulman, Benjamin; Arnold, Chelsea L.
- Biogeosciences, Vol. 16, Issue 6
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