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Maximum July-September temperatures derived from tree-ring densities on the western Loess Plateau, China
Song, Huiming1,2; Mei, Ruochen1,3; Liu, Yu1,2,4,5,6,7; Nievergelt, Daniel8; Verstege, Anne8; Cherubini, Paolo8; Liu, Ruoshi7; Sun, Changfeng1,2; Li, Qiang1,2; Chen, Ling9; Zeng, Xueli1; Guo, Junqin10
Corresponding AuthorLiu, Yu(liuyu@loess.llqg.ac.cn)
2020-06-08
Source PublicationINTERNATIONAL JOURNAL OF CLIMATOLOGY
ISSN0899-8418
Pages12
AbstractTree-ring densitometric studies conducted in semi-arid regions are exceedingly rare. In this study, we evaluate a new maximum latewood density chronology from a collection of Picea purpurea trees growing in semi-arid northwestern China for climatic reconstruction purposes. We find statistically significant correlations between annual maximum density variations and July-September maximum temperatures over the 1957-2014 calibration period. Using a linear model to transfer the density variations to temperature estimates, we then reconstruct maximum summer temperatures from 1840 to 2014. Statistical analyses and verification tests demonstrate that the resulting transfer function is both reliable and stable. The reconstructed temperature series shows strong inter-annual and decadal variability. Several extremely cool and warm years are apparent on an inter-annual scale, while three extended cool periods and a warm period are observed on a decadal scale. In addition, the reconstructed temperature series exhibits a pattern synchronous with that of the Indian monsoon index, as well as a moderate relationship to volcanic eruptions. This densitometric study reveals typical climatic variation characteristics and provides useful data for deepening our understanding of climate history in the semi-arid regions of China.
Keywordmaximum latewood density Picea purpurea Mast temperature reconstruction Western Loess Plateau
DOI10.1002/joc.6650
WOS KeywordMINIMUM WOOD DENSITY ; LATEWOOD DENSITY ; NORTHERN-HEMISPHERE ; RECONSTRUCTION ; DROUGHT ; WIDTH ; MOUNTAINS ; PROXY ; AD ; PRECIPITATION
Indexed BySCI ; SCI
Language英语
Funding ProjectProject of State Key Laboratory of Loess and Quaternary Geology (SKLLQG) ; Chinese Academy of Sciences[QYZDJ-SSW-DQC021] ; Chinese Academy of Sciences[XDB40010300] ; Chinese Academy of Sciences[XDPB05] ; Chinese Academy of Sciences[GJHZ177] ; National Natural Science Foundation of China[41401060] ; National Natural Science Foundation of China[41630531] ; State Key Laboratory of Loess and Quaternary Geology ; Youth Innovation Promotion Association of the Chinese Academy of Sciences[2016361]
WOS Research AreaMeteorology & Atmospheric Sciences
Funding OrganizationProject of State Key Laboratory of Loess and Quaternary Geology (SKLLQG) ; Chinese Academy of Sciences ; National Natural Science Foundation of China ; State Key Laboratory of Loess and Quaternary Geology ; Youth Innovation Promotion Association of the Chinese Academy of Sciences
WOS SubjectMeteorology & Atmospheric Sciences
WOS IDWOS:000538699500001
PublisherWILEY
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ieecas.cn/handle/361006/14918
Collection现代环境研究室
第四纪科学与全球变化卓越创新中心
Corresponding AuthorLiu, Yu
Affiliation1.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian, Peoples R China
2.Chinese Acad Sci, CAS Ctr Excellence Quaternary Sci & Global Change, Xian, Peoples R China
3.Xian Polytech Univ, Sch Environm & Chem Engn, Xian, Peoples R China
4.Pilot Qingdao Natl Lab Marine Sci & Technol, Lab Ocean Dynam & Climate, Qingdao, Peoples R China
5.Ocean Univ China, Phys Oceanog Lab, CIMST, Qingdao, Peoples R China
6.Qingdao Natl Lab Marine Sci & Technol, Qingdao, Peoples R China
7.Xi An Jiao Tong Univ, Sch Human Settlements & Civil Engn, Xian, Peoples R China
8.WSL Swiss Fed Res Inst Forest Snow & Landscape Re, Birmensdorf, Switzerland
9.Beijing Forestry Univ, Res Ctr Forest Management, State Forestry & Grassland Adm, Engn, Beijing, Peoples R China
10.Northwest Reg Climate Ctr, Lanzhou, Peoples R China
Recommended Citation
GB/T 7714
Song, Huiming,Mei, Ruochen,Liu, Yu,et al. Maximum July-September temperatures derived from tree-ring densities on the western Loess Plateau, China[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2020:12.
APA Song, Huiming.,Mei, Ruochen.,Liu, Yu.,Nievergelt, Daniel.,Verstege, Anne.,...&Guo, Junqin.(2020).Maximum July-September temperatures derived from tree-ring densities on the western Loess Plateau, China.INTERNATIONAL JOURNAL OF CLIMATOLOGY,12.
MLA Song, Huiming,et al."Maximum July-September temperatures derived from tree-ring densities on the western Loess Plateau, China".INTERNATIONAL JOURNAL OF CLIMATOLOGY (2020):12.
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