Assessing the importance of climate variables for the spatial distribution of modern pollen data in China
文献类型：期刊论文
| 作者 | Li, Jianyong; Xu, Qinghai2,3,4,5; Zheng, Zhuo1; Lu, Houyuan6; Luo, Yunli7; Li, Yuecong3,4; Li, Chunhai8; Seppa, Heikki |
| 刊名 | QUATERNARY RESEARCH
 |
| 出版日期 | 2015 |
| 卷号 | 83期号:2页码:287-297 |
| 关键词 | Constrained ordination techniques Boosted regression trees Spatial distribution Climate variables Climate reconstructions Modern pollen data China |
| ISSN号 | 0033-5894 |
| DOI | 10.1016/j.yqres.2014.12.002 |
| 文献子类 | Article |
| 英文摘要 | To assess the importance of climate variables for the distribution of modern pollen data in China, we present a continental-scale dataset consisting of 1374 samples. Boosted regression trees and constrained ordination techniques are employed to quantify the importance of six climate variables (annual precipitation, PANN; actual/potential evapotranspiration ratio, Alpha; mean annual temperature, TANN; mean temperature of the warmest month, MTWA; mean temperature of the coldest month, MTCO; annual sum of the growing degree days above 5 degrees C, GDD5) for the distribution of individual pollen taxa and modern pollen assemblages. The results show that taxon-specific responses to the climate variables display a wide regional diversity and that the climate variables with low collinearity that best account for the spatial variability of modem pollen assemblages differ regionally. PANN is the most important variable in northwestern and northeastern China and the Tibetan Plateau, while MTWA and MTCO are the dominant variables in east-central and southern China. This suggests that the climate variables that can be optimally reconstructed from fossil pollen data vary in different bioclimatic regions of China. This feature is typical to many continental-scale modern pollen datasets and needs to be considered in pollen-based climate reconstructions. (C) 2014 University of Washington. Published by Elsevier Inc. All rights reserved. |
| 学科主题 | Geography, Physical ; Geosciences, Multidisciplinary |
| 出版地 | SAN DIEGO |
| 电子版国际标准刊号 | 1096-0287 |
| WOS关键词 | BOOSTED REGRESSION TREES ; EAST-ASIAN MONSOON ; CALIBRATION SET ; TIBETAN PLATEAU ; SURFACE-POLLEN ; QUANTITATIVE RECONSTRUCTION ; INNER-MONGOLIA ; GEOGRAPHICAL-DISTRIBUTION ; TEMPERATURE-VARIATIONS ; LAKE-SEDIMENTS |
| WOS研究方向 | Science Citation Index Expanded (SCI-EXPANDED) |
| 语种 | 英语 |
| WOS记录号 | WOS:000353093500003 |
| 出版者 | ACADEMIC PRESS INC ELSEVIER SCIENCE |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of Sciences [XDA05120202] ; Key National Natural Science Foundation of China [40730103] ; National Natural Science Foundation of China [40730103, 41371215] ; Key Technology R&D Program of Hebei Province [13277611D] ; China Scholarship Council (CSC) at the University of Helsinki [201208130087] ; project EBOR (Ecological history and long-term dynamics of the Boreal forest ecosystem) from the Academy of Finland ; Nordic top-level research initiative CRAICC |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/25747]  |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Lanzhou Univ, MOE Key Lab Western Chinas Environm Syst, Lanzhou 730000, Peoples R China 2.Univ Helsinki, Dept Geosci & Geog, FIN-00014 Helsinki, Finland 3.Hebei Normal Univ, Inst Nihewan Archaeol Res, Shijiazhuang 050024, Peoples R China 4.Hebei Normal Univ, Coll Resources & Environm Sci, Shijiazhuang 050024, Peoples R China 5.Hebei Normal Univ, Hebei Key Lab Environm Change & Ecol Construct, Shijiazhuang 050024, Peoples R China 6.Sun Yat Sen Univ, Dept Earth Sci, Guangzhou 510275, Guangdong, Peoples R China 7.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Cenozo Geol & Environm, Beijing 100029, Peoples R China 8.Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China 9.Chinese Acad Sci, Nanjing Inst Geog & Limnol, State Key Lab Lake Sci & Environm, Nanjing 210008, Jiangsu, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Jianyong,Xu, Qinghai,Zheng, Zhuo,et al. Assessing the importance of climate variables for the spatial distribution of modern pollen data in China[J]. QUATERNARY RESEARCH,2015,83(2):287-297. |
| APA | Li, Jianyong.,Xu, Qinghai.,Zheng, Zhuo.,Lu, Houyuan.,Luo, Yunli.,...&Seppa, Heikki.(2015).Assessing the importance of climate variables for the spatial distribution of modern pollen data in China.QUATERNARY RESEARCH,83(2),287-297. |
| MLA | Li, Jianyong,et al."Assessing the importance of climate variables for the spatial distribution of modern pollen data in China".QUATERNARY RESEARCH 83.2(2015):287-297. |
入库方式： OAI收割
来源：植物研究所
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