干旱区生态环境知识资源中心(Arid): Evaluating the simulated mean soil carbon transit times by Earth system models using observations

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DOI	10.5194/bg-16-917-2019
	Evaluating the simulated mean soil carbon transit times by Earth system models using observations
	Wang, Jing 1; Xia, Jianyang 1,2; Zhou, Xuhui 1,2; Huang, Kun 1; Zhou, Jian 1; Huang, Yuanyuan 3; Jiang, Lifen 4; Xu, Xia 5; Liang, Junyi 6,7; Wang, Ying-Ping 8; Cheng, Xiaoli 9; Luo, Yiqi 4,10
通讯作者	Xia, Jianyang
来源期刊	BIOGEOSCIENCES
ISSN	1726-4170
EISSN	1726-4189
出版年	2019
卷号	16 期号:4 页码:917-926
英文摘要	One known bias in current Earth system models (ESMs) is the underestimation of global mean soil carbon (C) transit time (tau(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 tau(soil) across 187 sites to evaluate results from 12 ESMs. The observations showed that the estimated tau(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 (C-13) 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 tau(soil) across the same site locations. We then found a significant and negative linear correlation between the in situ measured tau(soil) and mean annual air temperature. The underestimations of modeled tau(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 tau(soil) estimate by incorporation of the soil vertical profile. These findings indicate that the spatial variation of tau(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.
类型	Article
语种	英语
国家	Peoples R China ; France ; USA ; Australia
开放获取类型	Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:000459868700001
WOS关键词	ORGANIC-MATTER ; TURNOVER TIMES ; TEMPERATURE SENSITIVITY ; SEMIARID ECOSYSTEMS ; RESIDENCE TIME ; CLIMATE-CHANGE ; CYCLE ; DECOMPOSITION ; UNCERTAINTY ; VARIABILITY
WOS类目	Ecology ; Geosciences, Multidisciplinary
WOS研究方向	Environmental Sciences & Ecology ; Geology
来源机构	清华大学 ; Commonwealth Scientific and Industrial Research Organisation
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/214605
作者单位	1.East China Normal Univ, Zhejiang Tiantong Forest Ecosyst Natl Observat &, Shanghai Key Lab Urban Ecol Proc & Ecorestorat, Sch Ecol & Environm Sci, Shanghai 200241, Peoples R China; 2.East China Normal Univ, Res Ctr Global Change & Ecol Forecasting, State Key Lab Estuarine & Coastal Res, Shanghai 200241, Peoples R China; 3.Lab Sci Climat & Environm, F-91191 Gif Sur Yvette, France; 4.No Arizona Univ, Ctr Ecosystem Sci & Soc, Flagstaff, AZ 86011 USA; 5.Nanjing Forestry Univ, Coll Biol & Environm, Nanjing 210037, Jiangsu, Peoples R China; 6.Oak Ridge Natl Lab, Environm Sci Div, Oak Ridge, TN 37830 USA; 7.Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN 37830 USA; 8.CSIRO Ocean & Atmosphere, PMB 1, Aspendale, Vic 3195, Australia; 9.Chinese Acad Sci, Wuhan Bot Garden, Wuhan 430074, Hubei, Peoples R China; 10.Tsinghua Univ, Dept Earth Syst Sci, Beijing 100084, Peoples R China
推荐引用方式 GB/T 7714	Wang, Jing,Xia, Jianyang,Zhou, Xuhui,et al. Evaluating the simulated mean soil carbon transit times by Earth system models using observations[J]. 清华大学, Commonwealth Scientific and Industrial Research Organisation,2019,16(4):917-926.
APA	Wang, Jing.,Xia, Jianyang.,Zhou, Xuhui.,Huang, Kun.,Zhou, Jian.,...&Luo, Yiqi.(2019).Evaluating the simulated mean soil carbon transit times by Earth system models using observations.BIOGEOSCIENCES,16(4),917-926.
MLA	Wang, Jing,et al."Evaluating the simulated mean soil carbon transit times by Earth system models using observations".BIOGEOSCIENCES 16.4(2019):917-926.