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A moisture function of soil heterotrophic respiration that incorporates microscale processes
Soil heterotrophic respiration (HR) is an important source of soil-to-atmosphere CO(2) flux, but its response to changes in soil water content (θ) is poorly understood. Earth system models commonly use empirical moisture functions to describe the HR–θ relationship, introducing significant uncertaint...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6028431/ https://www.ncbi.nlm.nih.gov/pubmed/29967415 http://dx.doi.org/10.1038/s41467-018-04971-6 |
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author | Yan, Zhifeng Bond-Lamberty, Ben Todd-Brown, Katherine E. Bailey, Vanessa L. Li, SiLiang Liu, CongQiang Liu, Chongxuan |
author_facet | Yan, Zhifeng Bond-Lamberty, Ben Todd-Brown, Katherine E. Bailey, Vanessa L. Li, SiLiang Liu, CongQiang Liu, Chongxuan |
author_sort | Yan, Zhifeng |
collection | PubMed |
description | Soil heterotrophic respiration (HR) is an important source of soil-to-atmosphere CO(2) flux, but its response to changes in soil water content (θ) is poorly understood. Earth system models commonly use empirical moisture functions to describe the HR–θ relationship, introducing significant uncertainty in predicting CO(2) 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 and biological 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 predicted comparable HR–θ relationships with laboratory and field measurements, and may reduce the uncertainty in predicting the response of soil organic carbon stocks to climate change compared with the empirical moisture functions currently used in Earth system models. |
format | Online Article Text |
id | pubmed-6028431 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-60284312018-07-05 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 Nat Commun Article Soil heterotrophic respiration (HR) is an important source of soil-to-atmosphere CO(2) flux, but its response to changes in soil water content (θ) is poorly understood. Earth system models commonly use empirical moisture functions to describe the HR–θ relationship, introducing significant uncertainty in predicting CO(2) 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 and biological 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 predicted comparable HR–θ relationships with laboratory and field measurements, and may reduce the uncertainty in predicting the response of soil organic carbon stocks to climate change compared with the empirical moisture functions currently used in Earth system models. Nature Publishing Group UK 2018-07-02 /pmc/articles/PMC6028431/ /pubmed/29967415 http://dx.doi.org/10.1038/s41467-018-04971-6 Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article 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 |
title | A moisture function of soil heterotrophic respiration that incorporates microscale processes |
title_full | A moisture function of soil heterotrophic respiration that incorporates microscale processes |
title_fullStr | A moisture function of soil heterotrophic respiration that incorporates microscale processes |
title_full_unstemmed | A moisture function of soil heterotrophic respiration that incorporates microscale processes |
title_short | A moisture function of soil heterotrophic respiration that incorporates microscale processes |
title_sort | moisture function of soil heterotrophic respiration that incorporates microscale processes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6028431/ https://www.ncbi.nlm.nih.gov/pubmed/29967415 http://dx.doi.org/10.1038/s41467-018-04971-6 |
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