Evaluating the simulated mean soil carbon transit times by Earth system models using observations
文献类型：期刊论文
| 作者 | Wang, Jing1; Xia, Jianyang1,2; Zhou, Xuhui1,2; Huang, Kun1; Zhou, Jian1; Huang, Yuanyuan3; Jiang, Lifen4; Xu, Xia5; Liang, Junyi6,7; Wang, Ying-Ping8 |
| 刊名 | BIOGEOSCIENCES
 |
| 出版日期 | 2019-02-27 |
| 卷号 | 16期号:4页码:917-926 |
| ISSN号 | 1726-4170 |
| DOI | 10.5194/bg-16-917-2019 |
| 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. |
| 资助项目 | National Natural Science Foundation[31722009] ; National Natural Science Foundation[31800400] ; National Natural Science Foundation[41630528] ; National Key R&D Program of China[2017YFA0604603] ; Fok Ying Tong Education Foundation for Young Teachers in the Higher Education Institutions of China[161016] ; National 1000 Young Talents Program of China |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000459868700001 |
| 出版者 | COPERNICUS GESELLSCHAFT MBH |
| 源URL | [http://202.127.146.157/handle/2RYDP1HH/6993]  |
| 专题 | 中国科学院武汉植物园 |
| 通讯作者 | Xia, Jianyang |
| 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]. BIOGEOSCIENCES,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. |
入库方式： OAI收割
来源：武汉植物园
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。