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
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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 |
DOI | 10.5586/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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