中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Magnitude and Forming Factors of Mass Elevation Effect on Qinghai-Tibet Plateau

文献类型:期刊论文

作者Zhang Shuo1,2; Zhang Baiping1; Yao Yonghui1; Zhao Fang1,2; Qi Wenwen1,2; He Wenhui1,2; Wang Jing1,2
刊名CHINESE GEOGRAPHICAL SCIENCE
出版日期2016-12-01
卷号26期号:6页码:745-754
关键词Qinghai-Tibet Plateau mass elevation effect (MEE) temperature difference mountain base elevation timberline
ISSN号1002-0063
DOI10.1007/s11769-016-0834-x
通讯作者Zhang Baiping(zhangbp@lreis.ac.cn) ; Yao Yonghui(yaoyh@lreis.ac.cn)
英文摘要Mass elevation effect (MEE) refers to the thermal effect of huge mountains or plateaus, which causes the tendency for temperature-related montane landscape limits to occur at higher elevations in the inner massifs than on their outer margins. MEE has been widely identified in all large mountains, but how it could be measured and what its main forming-factors are still remain open. This paper, supposing that the local mountain base elevation (MBE) is the main factor of MEE, takes the Qinghai-Tibet Plateau (QTP) as the study area, defines MEE as the temperature difference (Delta T) between the inner and outer parts of mountain massifs, identifies the main forming factors, and analyzes their contributions to MEE. A total of 73 mountain bases were identified, ranging from 708 m to 5081 m and increasing from the edges to the central parts of the plateau. Climate data (1981-2010) from 134 meteorological stations were used to acquire Delta T by comparing near-surface air temperature on the main plateau with the free-air temperature at the same altitude and similar latitude outside of the plateau. The Delta T for the warmest month is averagely 6.15 degrees C, over 12 degrees C at Lhatse and Baxoi. A multivariate linear regression model was developed to simulate MEE based on three variables (latitude, annual mean precipitation and MBE), which are all significantly correlated to Delta T. The model could explain 67.3% of MEE variation, and the contribution rates of three independent variables to MEE are 35.29%, 22.69% and 42.02%, respectively. This confirms that MBE is the main factor of MEE. The intensive MEE of the QTP pushes the 10. isotherm of the warmest month mean temperature 1300-2000 m higher in the main plateau than in the outer regions, leading the occurrence of the highest timberline (4900 m) and the highest snowline (6200 m) of the Northern Hemisphere in the southeast and southwest of the plateau, respectively.
WOS关键词MOUNTAINS ; PATTERNS ; ALTITUDE ; TREELINE
资助项目National Natural Science Foundation of China[41571099] ; National Natural Science Foundation of China[41030528]
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000392313400004
出版者SPRINGER
资助机构National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/65058]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang Baiping; Yao Yonghui
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resource & Environm Informat Syst, Beijing 100101, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Zhang Shuo,Zhang Baiping,Yao Yonghui,et al. Magnitude and Forming Factors of Mass Elevation Effect on Qinghai-Tibet Plateau[J]. CHINESE GEOGRAPHICAL SCIENCE,2016,26(6):745-754.
APA Zhang Shuo.,Zhang Baiping.,Yao Yonghui.,Zhao Fang.,Qi Wenwen.,...&Wang Jing.(2016).Magnitude and Forming Factors of Mass Elevation Effect on Qinghai-Tibet Plateau.CHINESE GEOGRAPHICAL SCIENCE,26(6),745-754.
MLA Zhang Shuo,et al."Magnitude and Forming Factors of Mass Elevation Effect on Qinghai-Tibet Plateau".CHINESE GEOGRAPHICAL SCIENCE 26.6(2016):745-754.

入库方式: OAI收割

来源:地理科学与资源研究所

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