Tree-ring stable carbon isotope-based May-July temperature reconstruction over Nanwutai, China, for the past century and its record of 20th century warming
文献类型:期刊论文
作者 | Wang, YC (Wang, Yanchao)[ 1,2,3 ]; Li, Q (Li, Qiang)[ 1 ]; Song, HM (Song, Huiming)[ 1,3 ]; Linderhlom, HW (Linderhlom, Hans W.)[ 4 ]; Leavitt, SW (Leavitt, Steven W.)[ 5 ]; Wang, RY (Wang, Ruiyuan)[ 1 ]; An, ZS (An, Zhisheng)[ 1 ]; Liu, Y (Liu, Yu)[ 1,2 ] |
刊名 | QUATERNARY SCIENCE REVIEWS |
出版日期 | 2014-06-01 |
卷号 | 93页码:67-76 |
关键词 | Nanwutai China Pinus Tabulaeformis Carr. Stable Carbon Isotope Mayejuly Mean Temperature Reconstruction |
DOI | 10.1016/j.quascirev.2014.03.023 |
文献子类 | 期刊论文 |
英文摘要 | Growth anomaly of trees in some regions was detected under current episode of rapid warming. This raises a dilemma for temperature reconstructions by using tree-ring width which is believed to be the most important proxy on inter-annual temperature reconstruction during the past millenniums. Here we employed the tree-ring δ13C to reconstruct temperature variations for exploring their potential on capturing signals of rapid warming, and to test how its difference with the tree-ring width based reconstruction. In this study the mean May-July temperature (TM-J) was reconstructed over the past century by tree-ring δ13C of Chinese pine trees growing in the Nanwutai region. The explained variance of the reconstruction was 43.3% (42.1% after adjusting the degrees of freedom). Compared to a ring-width temperature reconstruction (May-July) from the same site, the tree-ring δ13C-based temperature reconstruction offered two distinct advantages: 1) it captured a wider range of temperature variability, i.e., at least May-July, even over a longer part of the year, January-September; and 2) the reconstruction preserved more low-frequency climate information than that of ring width did.The 20th century warming was well represented in the Nanwutai tree-ring δ13C temperature reconstruction, which implied that stable carbon isotope of tree rings potentially represents temperature variations during historical episodes of rapid warming. A spatial correlation analysis showed that our temperature reconstruction represented climate variations over the entire Loess Plateau in north-central China. Significant positive correlations (p<0.1) were found between the temperature reconstruction and ENSO, as well as SSTs in the Pacific and Indian Oceans. The reconstruction showed the periodicities of 22.78-, 4.16-, 3.45-3.97- and 2.04-2.83-year quasi-cycles at a 95% confidence level. Our results suggested that temperature variability in the Nanwutai region may be linked to Pacific and Indian Ocean SST variations and solar activity. |
语种 | 英语 |
源URL | [http://ir.ieecas.cn/handle/361006/9756] |
专题 | 地球环境研究所_现代环境研究室 |
通讯作者 | Liu, Y (Liu, Yu)[ 1,2 ] |
作者单位 | 1.Laboratory of Tree-Ring Research, University of Arizona, Tucson, AZ 85721, USA 2.Regional Climate Group, Department of Earth Sciences, University of Gothenburg, Gothenburg 40530, Sweden; 3.The University of the Chinese Academy of Sciences, Beijing 100049, China; 4.School of Human Settlements and Civil Engineering, Xi’an Jiaotong University, Xi’an 710049, China; 5.State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi’an 710075, China; |
推荐引用方式 GB/T 7714 | Wang, YC ,Li, Q ,Song, HM ,et al. Tree-ring stable carbon isotope-based May-July temperature reconstruction over Nanwutai, China, for the past century and its record of 20th century warming[J]. QUATERNARY SCIENCE REVIEWS,2014,93:67-76. |
APA | Wang, YC .,Li, Q .,Song, HM .,Linderhlom, HW .,Leavitt, SW .,...&Liu, Y .(2014).Tree-ring stable carbon isotope-based May-July temperature reconstruction over Nanwutai, China, for the past century and its record of 20th century warming.QUATERNARY SCIENCE REVIEWS,93,67-76. |
MLA | Wang, YC ,et al."Tree-ring stable carbon isotope-based May-July temperature reconstruction over Nanwutai, China, for the past century and its record of 20th century warming".QUATERNARY SCIENCE REVIEWS 93(2014):67-76. |
入库方式: OAI收割
来源:地球环境研究所
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