IB-CAS  > 植被与环境变化国家重点实验室
East Asian pollen database: modern pollen distribution and its quantitative relationship with vegetation and climate
Zheng, Zhuo1; Wei, Jinhui; Huang, Kangyou1; Xu, Qinghai2; Lu, Houyuan3; Tarasov, Pavel4; Luo, Chuanxiu5; Beaudouin, Celia6; Deng, Yun7; Pan, Anding8; Zheng, Yanwei9; Luo, Yunli10; Nakagawa, Takeshi11; Li, Chunhai12; Yang, Shixiong13; Peng, Huanhuan; Cheddadi, Rachid14
2014
发表期刊JOURNAL OF BIOGEOGRAPHY
ISSN0305-0270
卷号41期号:10页码:1819-1832
摘要AimOur aims were to provide new pollen data for establishing a sub-continental surface pollen database (East Asian Pollen Database, EAPD) and to study relationships between vegetation and climate. LocationThe sample sites covered most regions of East Asia, including China, Mongolia, the Russian Far East, Vietnam, Cambodia and Thailand. MethodsData quality control procedures were applied, including taxonomic standardization, removal of duplicates, and adjustment of geographical coordinates. Vegetation types and climate parameters were assigned to each sample. Modern pollen distribution maps were drawn using circle scattergrams. The plots of pollen percentages versus climate variables allowed quantitative estimates of climate values. The modern analogue technique (MAT) was used to predict modern biomes and climate parameters. ResultsPollen assemblages extracted from 2858 sites were used to model the geographical distribution of selected taxa and their relationships with climate. For most taxa, the reconstructed range fitted the observed geographical distribution rather well. Arboreal pollen (AP) and Pinus dominated the transition zone between forest and steppe. Use of the MAT revealed that the predicted and observed biomes matched in 71% of the cases. The warm temperate evergreen broadleaf forest had the best agreement between predictions and observations. Climate values reconstructed using MAT were highly correlated with observed values in January temperature. The correlation coefficient of the temperature variables ranged from 0.799 to 0.930 and was as high as 0.939 for precipitation. Main conclusionsThis paper documents a new modern pollen database for East Asia and makes the data readily available. The reconstructed biomes and climate variables are significantly correlated with the observed values, thus demonstrating the utility of the pollen database for future multiscale palaeoenvironmental studies.
关键词Biome climate reconstruction East Asia database modern analogue technique pollen database surface pollen vegetation
学科领域Ecology ; Geography, Physical
DOI10.1111/jbi.12361
收录类别SCI
语种英语
WOS关键词NORTH-AMERICAN ; MODERN ANALOGS ; RECONSTRUCTION ; SURFACE ; BIOMES ; PALEOECOLOGY ; TEMPERATURE ; CALIBRATION ; DYNAMICS ; SPECTRA
WOS研究方向Environmental Sciences & Ecology ; Physical Geography
WOS记录号WOS:000342207600001
出版者WILEY
文献子类Article
出版地HOBOKEN
EISSN1365-2699
资助机构National Natural Science Foundation of China [41230101, 40331011, 41001118] ; Fundamental Research Funds for the Central Universities [10lgzd08, 11lgjc13]
作者邮箱hkangy@mail.sysu.edu.cn
引用统计
被引频次:119[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/27104
专题植被与环境变化国家重点实验室
作者单位1.Sun Yat Sen Univ, Sch Earth Sci & Geol Engn, Guangzhou 510275, Guangdong, Peoples R China
2.Guangdong Prov Key Lab Mineral Resources & Geol P, Guangzhou 510275, Guangdong, Peoples R China
3.Hebei Normal Univ, Coll Resources & Environm Sci, Shijiazhuang 050016, Peoples R China
4.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China
5.Free Univ Berlin, Inst Geol Sci, Dept Palaeontol, D-12249 Berlin, Germany
6.Chinese Acad Sci, South China Sea Inst Oceanol, Key Lab Marginal Sea Geol, Guangzhou 510301, Guangdong, Peoples R China
7.Univ Franche Comte, Lab Chronoenvironm, UMR CNRS 6249, UFR Sci & Tech, F-25030 Besancon, France
8.Univ Lyon 1, F-69622 Villeurbanne, France
9.Guangzhou Univ, Coll Geog Sci, Guangzhou 510006, Guangdong, Peoples R China
10.Guangzhou Inst Geog, Guangzhou 510070, Guangdong, Peoples R China
11.Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China
12.Newcastle Univ, Dept Geog, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
13.Chinese Acad Sci, Nanjing Inst Limnol & Geog, Nanjing 210008, Jiangsu, Peoples R China
14.Inst Marine Geol, Key Libertarianism Marine Hydrocarbon Resources &, MLR, Qingdao 266071, Peoples R China
15.Univ Montpellier 2, Inst Sci Evolut, F-34095 Montpellier, France
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GB/T 7714
Zheng, Zhuo,Wei, Jinhui,Huang, Kangyou,et al. East Asian pollen database: modern pollen distribution and its quantitative relationship with vegetation and climate[J]. JOURNAL OF BIOGEOGRAPHY,2014,41(10):1819-1832.
APA Zheng, Zhuo.,Wei, Jinhui.,Huang, Kangyou.,Xu, Qinghai.,Lu, Houyuan.,...&Cheddadi, Rachid.(2014).East Asian pollen database: modern pollen distribution and its quantitative relationship with vegetation and climate.JOURNAL OF BIOGEOGRAPHY,41(10),1819-1832.
MLA Zheng, Zhuo,et al."East Asian pollen database: modern pollen distribution and its quantitative relationship with vegetation and climate".JOURNAL OF BIOGEOGRAPHY 41.10(2014):1819-1832.
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