中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Multivariate Regression Model to Explain the Altitudinal Distribution of Timberlines on the Eurasian Continent

文献类型:期刊论文

作者Zhao, Fang1,2; Shakoor, Abdul1,2; Zaib, Gul3; Zhang, Baiping4; Lan, Xincan1; Tang, Jiale1
刊名ACTA SOCIETATIS BOTANICORUM POLONIAE
出版日期2022-08-15
卷号91页码:12
关键词Eurasia timberline elevation climatic variables climatic continentality mean temperature of the warmest month annual precipitation mean temperature of the coldest month multivariable model
ISSN号0001-6977
DOI10.5586/asbp.918
通讯作者Zhang, Baiping(zhangbp@lreis.ac.cn)
英文摘要The altitude of alpine timberline elevation has been considered to correlate with certain climatic factors. Many related isotherms (e.g., warmest month 10 degrees C isotherm) have been proposed to explain the altitudinal distribution of alpine timberline at the global scale. However, any climatic index actually has a wide range at the alpine timberline position worldwide. The altitudinal position of the alpine timberline is related to far more than just one climatic factor. Therefore, we developed a multivariable model for timberline elevation variability by collecting data from 473 timberline sites on the Eurasian continent. We analyzed 12 climatic variables that potentially account for timberline variation. Principal component and regression analyses were used to mine four climatic variables. The mean temperature of the warmest month (MTWM), mean temperature of the coldest month (MTCM), climatic continentality (K), and annual precipitation (AP) explained 95% of the variability of timberline elevation. MTWM, MTCM, K, and AP contributed 18%, 41.28%, 34.9%, and 5.82%, respectively, to the altitudinal distribution of alpine timberline on the whole continent; 20%, 44%, 28.86%, and 7.14% in the eastern continent; and 17.71%, 39.79%, 40.21%, and 2.29% in the western continent. We showed that MTWM, MTCM, K, and AP are deterministic factors for the altitudinal distribution of alpine timberline in the Eurasian continent. MTCM and K contributed to explaining the altitudinal distribution of timberline both in the entire, eastern, and western parts of the Eurasian continent. Our research highlights the significance of MTCM for the altitudinal distribution of timberline.
WOS关键词CLIMATIC VARIABILITY ; TREELINE DYNAMICS ; SWEDISH SCANDES ; FOREST ; ELEVATION ; NORTHERN ; MOUNTAINS ; RESISTANCE ; LANDSCAPE ; PATTERNS
资助项目National Natural Science Foundation of China[41601091] ; Integrated Scientific Investigation of the North-South Transitional Zone of China[2017FY100900]
WOS研究方向Plant Sciences
语种英语
WOS记录号WOS:000842007500001
出版者POLSKIE TOWARZYSTWO BOTANICZNE
资助机构National Natural Science Foundation of China ; Integrated Scientific Investigation of the North-South Transitional Zone of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/166566]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang, Baiping
作者单位1.Henan Univ, Coll Geog & Environm Sci, Kaifeng 475004, Henan, Peoples R China
2.Henan Univ, Minist Educ, Key Lab Geospatial Technol Middle & Lower Yellow, Kaifeng 475004, Henan, Peoples R China
3.Yangzhou Univ, Inst Epigenet & Epigen, Yangzhou 225009, Jiangsu, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resource & Environm Informat Syst, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714
Zhao, Fang,Shakoor, Abdul,Zaib, Gul,et al. A Multivariate Regression Model to Explain the Altitudinal Distribution of Timberlines on the Eurasian Continent[J]. ACTA SOCIETATIS BOTANICORUM POLONIAE,2022,91:12.
APA Zhao, Fang,Shakoor, Abdul,Zaib, Gul,Zhang, Baiping,Lan, Xincan,&Tang, Jiale.(2022).A Multivariate Regression Model to Explain the Altitudinal Distribution of Timberlines on the Eurasian Continent.ACTA SOCIETATIS BOTANICORUM POLONIAE,91,12.
MLA Zhao, Fang,et al."A Multivariate Regression Model to Explain the Altitudinal Distribution of Timberlines on the Eurasian Continent".ACTA SOCIETATIS BOTANICORUM POLONIAE 91(2022):12.

入库方式: OAI收割

来源:地理科学与资源研究所

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