Multi-year incubation experiments boost confidence in model projections of long-term soil carbon dynamics

As the climate warms, soil carbon stores will likely be degraded by microbes and released as CO2, but these predictions are based on laboratory incubations that might not reflect real rates. Here the authors optimize model projections using dozens of short- and long-term incubations in forest and gr...

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Main Authors: Siyang Jian, Jianwei Li, Gangsheng Wang, Laurel A. Kluber, Christopher W. Schadt, Junyi Liang, Melanie A. Mayes
Format: Article
Language:English
Published: Nature Publishing Group 2020-11-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-020-19428-y
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spelling doaj-468f5dd117d544ceb96edeaed2b04d362021-05-11T07:58:44ZengNature Publishing GroupNature Communications2041-17232020-11-011111910.1038/s41467-020-19428-yMulti-year incubation experiments boost confidence in model projections of long-term soil carbon dynamicsSiyang Jian0Jianwei Li1Gangsheng Wang2Laurel A. Kluber3Christopher W. Schadt4Junyi Liang5Melanie A. Mayes6Department of Agricultural and Environmental Sciences, Tennessee State UniversityDepartment of Agricultural and Environmental Sciences, Tennessee State UniversityState Key Laboratory of Water Resources and Hydropower Engineering Sciences, Wuhan UniversityBiosciences Division & Climate Change Science Institute, Oak Ridge National LaboratoryBiosciences Division & Climate Change Science Institute, Oak Ridge National LaboratoryEnvironmental Division & Climate Change Science Institute, Oak Ridge National LaboratoryEnvironmental Division & Climate Change Science Institute, Oak Ridge National LaboratoryAs the climate warms, soil carbon stores will likely be degraded by microbes and released as CO2, but these predictions are based on laboratory incubations that might not reflect real rates. Here the authors optimize model projections using dozens of short- and long-term incubations in forest and grasslands.https://doi.org/10.1038/s41467-020-19428-y
collection DOAJ
language English
format Article
sources DOAJ
author Siyang Jian
Jianwei Li
Gangsheng Wang
Laurel A. Kluber
Christopher W. Schadt
Junyi Liang
Melanie A. Mayes
spellingShingle Siyang Jian
Jianwei Li
Gangsheng Wang
Laurel A. Kluber
Christopher W. Schadt
Junyi Liang
Melanie A. Mayes
Multi-year incubation experiments boost confidence in model projections of long-term soil carbon dynamics
Nature Communications
author_facet Siyang Jian
Jianwei Li
Gangsheng Wang
Laurel A. Kluber
Christopher W. Schadt
Junyi Liang
Melanie A. Mayes
author_sort Siyang Jian
title Multi-year incubation experiments boost confidence in model projections of long-term soil carbon dynamics
title_short Multi-year incubation experiments boost confidence in model projections of long-term soil carbon dynamics
title_full Multi-year incubation experiments boost confidence in model projections of long-term soil carbon dynamics
title_fullStr Multi-year incubation experiments boost confidence in model projections of long-term soil carbon dynamics
title_full_unstemmed Multi-year incubation experiments boost confidence in model projections of long-term soil carbon dynamics
title_sort multi-year incubation experiments boost confidence in model projections of long-term soil carbon dynamics
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2020-11-01
description As the climate warms, soil carbon stores will likely be degraded by microbes and released as CO2, but these predictions are based on laboratory incubations that might not reflect real rates. Here the authors optimize model projections using dozens of short- and long-term incubations in forest and grasslands.
url https://doi.org/10.1038/s41467-020-19428-y
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