A moisture function of soil heterotrophic respiration that incorporates microscale processes

Yan, Zhifeng; Bond-Lamberty, Ben; Todd-Brown, Katherine E.; Bailey, Vanessa L.; Li, SiLiang; Liu, CongQiang; Liu, Chongxuan

doi:10.1038/s41467-018-04971-6

Title: A moisture function of soil heterotrophic respiration that incorporates microscale processes

Journal Article · 02 July 2018 · Nature Communications

DOI: https://doi.org/10.1038/s41467-018-04971-6 · OSTI ID:1490304

Yan, Zhifeng ^[1];

^[2]; Todd-Brown, Katherine E. ^[3];

^[3]; Li, SiLiang ^[1]; Liu, CongQiang ^[4];

^[5]

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)

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, f_m, that encapsulates primary physicochemical processes controlling soil HR. We validated f_m using simulation results and published experimental data, and established the quantitative relationships between parameters of f_m and measurable soil properties, which enables f_m to predict the HR-θ relationships for different soils across spatial scales. The f_m 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.

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Research Organization:: Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-76RL01830

OSTI ID:: 1490304

Report Number(s):: PNNL-SA-126718

Journal Information:: Nature Communications, Vol. 9, Issue 1; ISSN 2041-1723

Publisher:: Nature Publishing GroupCopyright Statement

Country of Publication:: United States

Language:: English

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