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 ( τ soil ), 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 construc...

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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: Text
Language:English
Published: 2019
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Online Access:https://doi.org/10.5194/bg-16-917-2019
https://www.biogeosciences.net/16/917/2019/
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spelling ftcopernicus:oai:publications.copernicus.org:bg70433 2023-05-15T18:40:34+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 2019-02-27 application/pdf https://doi.org/10.5194/bg-16-917-2019 https://www.biogeosciences.net/16/917/2019/ eng eng doi:10.5194/bg-16-917-2019 https://www.biogeosciences.net/16/917/2019/ eISSN: 1726-4189 Text 2019 ftcopernicus https://doi.org/10.5194/bg-16-917-2019 2019-12-24T09:49:26Z One known bias in current Earth system models (ESMs) is the underestimation of global mean soil carbon (C) transit time ( τ soil ), 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 τ soil across 187 sites to evaluate results from 12 ESMs. The observations showed that the estimated τ soil 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 ( 13 C ) 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 τ soil across the same site locations. We then found a significant and negative linear correlation between the in situ measured τ soil and mean annual air temperature. The underestimations of modeled τ soil are mainly located in cold and dry biomes, especially tundra and desert. Furthermore, we showed that one ESM (i.e., CESM) has improved its τ soil estimate by incorporation of the soil vertical profile. These findings indicate that the spatial variation of τ soil 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. Text Tundra Copernicus Publications: E-Journals Biogeosciences 16 4 917 926
institution Open Polar
collection Copernicus Publications: E-Journals
op_collection_id ftcopernicus
language English
description One known bias in current Earth system models (ESMs) is the underestimation of global mean soil carbon (C) transit time ( τ soil ), 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 τ soil across 187 sites to evaluate results from 12 ESMs. The observations showed that the estimated τ soil 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 ( 13 C ) 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 τ soil across the same site locations. We then found a significant and negative linear correlation between the in situ measured τ soil and mean annual air temperature. The underestimations of modeled τ soil are mainly located in cold and dry biomes, especially tundra and desert. Furthermore, we showed that one ESM (i.e., CESM) has improved its τ soil estimate by incorporation of the soil vertical profile. These findings indicate that the spatial variation of τ soil 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 Text
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
spellingShingle 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
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
publishDate 2019
url https://doi.org/10.5194/bg-16-917-2019
https://www.biogeosciences.net/16/917/2019/
genre Tundra
genre_facet Tundra
op_source eISSN: 1726-4189
op_relation doi:10.5194/bg-16-917-2019
https://www.biogeosciences.net/16/917/2019/
op_doi https://doi.org/10.5194/bg-16-917-2019
container_title Biogeosciences
container_volume 16
container_issue 4
container_start_page 917
op_container_end_page 926
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