Evaluating the simulated mean soil carbon transit times by Earth system models using observations

One known bias in current Earth system models (ESMs) is the underestimation of global mean soil carbon (C) transit time (τsoil), which quantifies the age of the C atoms at the time they leave the soil. However, it remains unclear where such underestimations are located globally. Here, we constructed...

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Published in:Biogeosciences
Main Authors: Wang, Jing, Xia, Jianyang, Zhou, Xuhui, Huang, Kun, Zhou, Jian, Huang, Yuanyuan, Jiang, Lifen, Xu, Xia, Liang, Junyi, Wang, Ying-Ping, Cheng, Xiaoli, Luo, Yiqi
Format: Article in Journal/Newspaper
Language:English
Published: Copernicus Publications 2019
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Online Access:https://doi.org/10.5194/bg-16-917-2019
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spelling ftnonlinearchiv:oai:noa.gwlb.de:cop_mods_00003077 2023-05-15T18:40:33+02:00 Evaluating the simulated mean soil carbon transit times by Earth system models using observations Wang, Jing Xia, Jianyang Zhou, Xuhui Huang, Kun Zhou, Jian Huang, Yuanyuan Jiang, Lifen Xu, Xia Liang, Junyi Wang, Ying-Ping Cheng, Xiaoli Luo, Yiqi 2019-02 electronic https://doi.org/10.5194/bg-16-917-2019 https://noa.gwlb.de/receive/cop_mods_00003077 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00003035/bg-16-917-2019.pdf https://bg.copernicus.org/articles/16/917/2019/bg-16-917-2019.pdf eng eng Copernicus Publications Biogeosciences -- http://www.bibliothek.uni-regensburg.de/ezeit/?2158181 -- http://www.copernicus.org/EGU/bg/bg.html -- 1726-4189 https://doi.org/10.5194/bg-16-917-2019 https://noa.gwlb.de/receive/cop_mods_00003077 https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00003035/bg-16-917-2019.pdf https://bg.copernicus.org/articles/16/917/2019/bg-16-917-2019.pdf https://creativecommons.org/licenses/by/4.0/ uneingeschränkt info:eu-repo/semantics/openAccess CC-BY article Verlagsveröffentlichung article Text doc-type:article 2019 ftnonlinearchiv https://doi.org/10.5194/bg-16-917-2019 2022-02-08T23:00:47Z One known bias in current Earth system models (ESMs) is the underestimation of global mean soil carbon (C) transit time (τsoil), which quantifies the age of the C atoms at the time they leave the soil. However, it remains unclear where such underestimations are located globally. Here, we constructed a global database of measured τsoil across 187 sites to evaluate results from 12 ESMs. The observations showed that the estimated τsoil was dramatically shorter from the soil incubation studies in the laboratory environment (median = 4 years; interquartile range = 1 to 25 years) than that derived from field in situ measurements (31; 5 to 84 years) with shifts in stable isotopic C (13C) or the stock-over-flux approach. In comparison with the field observations, the multi-model ensemble simulated a shorter median (19 years) and a smaller spatial variation (6 to 29 years) of τsoil across the same site locations. We then found a significant and negative linear correlation between the in situ measured τsoil and mean annual air temperature. The underestimations of modeled τsoil are mainly located in cold and dry biomes, especially tundra and desert. Furthermore, we showed that one ESM (i.e., CESM) has improved its τsoil estimate by incorporation of the soil vertical profile. These findings indicate that the spatial variation of τsoil is a useful benchmark for ESMs, and we recommend more observations and modeling efforts on soil C dynamics in regions limited by temperature and moisture. Article in Journal/Newspaper Tundra Niedersächsisches Online-Archiv NOA Biogeosciences 16 4 917 926
institution Open Polar
collection Niedersächsisches Online-Archiv NOA
op_collection_id ftnonlinearchiv
language English
topic article
Verlagsveröffentlichung
spellingShingle article
Verlagsveröffentlichung
Wang, Jing
Xia, Jianyang
Zhou, Xuhui
Huang, Kun
Zhou, Jian
Huang, Yuanyuan
Jiang, Lifen
Xu, Xia
Liang, Junyi
Wang, Ying-Ping
Cheng, Xiaoli
Luo, Yiqi
Evaluating the simulated mean soil carbon transit times by Earth system models using observations
topic_facet article
Verlagsveröffentlichung
description One known bias in current Earth system models (ESMs) is the underestimation of global mean soil carbon (C) transit time (τsoil), which quantifies the age of the C atoms at the time they leave the soil. However, it remains unclear where such underestimations are located globally. Here, we constructed a global database of measured τsoil across 187 sites to evaluate results from 12 ESMs. The observations showed that the estimated τsoil was dramatically shorter from the soil incubation studies in the laboratory environment (median = 4 years; interquartile range = 1 to 25 years) than that derived from field in situ measurements (31; 5 to 84 years) with shifts in stable isotopic C (13C) or the stock-over-flux approach. In comparison with the field observations, the multi-model ensemble simulated a shorter median (19 years) and a smaller spatial variation (6 to 29 years) of τsoil across the same site locations. We then found a significant and negative linear correlation between the in situ measured τsoil and mean annual air temperature. The underestimations of modeled τsoil are mainly located in cold and dry biomes, especially tundra and desert. Furthermore, we showed that one ESM (i.e., CESM) has improved its τsoil estimate by incorporation of the soil vertical profile. These findings indicate that the spatial variation of τsoil is a useful benchmark for ESMs, and we recommend more observations and modeling efforts on soil C dynamics in regions limited by temperature and moisture.
format Article in Journal/Newspaper
author Wang, Jing
Xia, Jianyang
Zhou, Xuhui
Huang, Kun
Zhou, Jian
Huang, Yuanyuan
Jiang, Lifen
Xu, Xia
Liang, Junyi
Wang, Ying-Ping
Cheng, Xiaoli
Luo, Yiqi
author_facet Wang, Jing
Xia, Jianyang
Zhou, Xuhui
Huang, Kun
Zhou, Jian
Huang, Yuanyuan
Jiang, Lifen
Xu, Xia
Liang, Junyi
Wang, Ying-Ping
Cheng, Xiaoli
Luo, Yiqi
author_sort Wang, Jing
title Evaluating the simulated mean soil carbon transit times by Earth system models using observations
title_short Evaluating the simulated mean soil carbon transit times by Earth system models using observations
title_full Evaluating the simulated mean soil carbon transit times by Earth system models using observations
title_fullStr Evaluating the simulated mean soil carbon transit times by Earth system models using observations
title_full_unstemmed Evaluating the simulated mean soil carbon transit times by Earth system models using observations
title_sort evaluating the simulated mean soil carbon transit times by earth system models using observations
publisher Copernicus Publications
publishDate 2019
url https://doi.org/10.5194/bg-16-917-2019
https://noa.gwlb.de/receive/cop_mods_00003077
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00003035/bg-16-917-2019.pdf
https://bg.copernicus.org/articles/16/917/2019/bg-16-917-2019.pdf
genre Tundra
genre_facet Tundra
op_relation Biogeosciences -- http://www.bibliothek.uni-regensburg.de/ezeit/?2158181 -- http://www.copernicus.org/EGU/bg/bg.html -- 1726-4189
https://doi.org/10.5194/bg-16-917-2019
https://noa.gwlb.de/receive/cop_mods_00003077
https://noa.gwlb.de/servlets/MCRFileNodeServlet/cop_derivate_00003035/bg-16-917-2019.pdf
https://bg.copernicus.org/articles/16/917/2019/bg-16-917-2019.pdf
op_rights https://creativecommons.org/licenses/by/4.0/
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container_title Biogeosciences
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