Chin J Plant Ecol ›› 2021, Vol. 45 ›› Issue (7): 799-808.DOI: 10.17521/cjpe.2021.0024

Special Issue: 青藏高原植物生态学:植被生态学 青藏高原植物生态学:数据论文

• Data Paper • Previous Articles    

A modern pollen dataset of China

CHEN Hai-Yan1, XU De-Yu1, LIAO Meng-Na1,2, LI Kai1,2, NI Jian1,2,*(), CAO Xian-Yong3, CHENG Bo4, HAO Xiu-Dong5, KONG Zhao-Chen6, LI Sheng-Feng7, LI Xiao-Qiang8, LIU Guang-Xiu9, LIU Ping-Mei10, LIU Xing-Qi11, SUN Xiang-Jun12, TANG Ling-Yu13, WEI Hai-Cheng14, XU Qing-Hai15, YAN Shun16, YANG Xiang-Dong17, YANG Zhen-Jing18, YU Ge17, ZHANG Yun6, ZHANG Zhi-Yong19, ZHAO Ke-Liang8, ZHENG Zhuo20, Ulrike HERZSCHUH21   

  1. 1College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua, Zhejiang 321004, China
    2Jinhua Mountain Observation and Research Station for Subtropical Forest Ecosystems, Jinhua, Zhejiang 321004, China
    3State Key Laboratory of Tibetan Plateau Earth System Science, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
    4College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
    5Key Laboratory of Environment Change and Resource Use in Beibu Gulf (Nanning Normal University), Ministry of Education, Nanning 530001, China
    6Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
    7School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
    8Institute of Vertebrate Paleontology and Paleoanthropology, Chinese Academy of Sciences, Beijing 100044, China
    9Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
    10 Department of Geosciences, Taiwan University, Taipei 10617, China
    11 College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
    12 School of Ocean and Earth Science, Tongji University, Shanghai 200092, China
    13 Nanjing Institute of Geology and Palaeontology, Chinese Academy of Sciences, Nanjing 210008, China
    14 Qinghai Institute of Salt Lakes, Chinese Academy of Sciences, Xining 810008, China
    15 College of Resource and Environmental Sciences, Hebei Normal University, Shijiazhuang 050027, China
    16 Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Ürümqi 830011, China
    17 Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
    18 Institute of Hydrogeology and Environmental Geology, Chinese Academy of Geological Sciences, Shijiazhuang 050061, China
    19 Lushan Botanical Garden, Chinese Academy of Sciences, Jiujiang, Jiangxi 332900, China
    20 School of Earth Sciences and Engineering, Sun Yat-Sen University, Guangzhou 510275, China
    21 Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam 14473, Germany
  • Received:2021-01-19 Accepted:2021-03-26 Online:2021-07-20 Published:2021-10-22
  • Contact: NI Jian ORCID:0000-0001-5411-7050
  • Supported by:
    Strategic Priority Research Program of the Chinese Academy of Sciences(XDA19050103);Strategic Priority Research Program of the Chinese Academy of Sciences(XDA2009000003);Strategic Priority Research Program of the Chinese Academy of Sciences(XDB31030104)


Pollen record is an essential data for reconstructing paleovegetation and paleoclimate. It is important for the studies of paleoenvironmental evolution, characteristics of paleoclimate change and simulation of paleobiogeochemical cycles from site to regional and global scales. In this paper, we collected and sorted out the pollen data records from published and unpublished Chinese literature between 1960 to 2020. The records included sample numbers, sampling locations (latitude, longitude and altitude of sampling sites), sample types, data sources, data types, surrounding vegetation, references, and pollen taxa, their compositions as well. They were filtered and standardized to integrate a pollen dataset of China. This dataset consists of 4 497 modern pollen sampling sites, including 660 published data from the Chinese Quaternary Pollen Database, 1 763 from early published data and 2 074 from recently collected data, belonging to 772 pollen taxa. The samples were mainly from surface soils (3 332 sites), and the rest were from moss plosters, surface sediments from lakes and the ocean. The sampling sites are widely scattered around China representing different geographical regions and vegetation types: 24.91%. in the temperate desert region, 24.02% in the subtropical evergreen broad-leaved forest region, followed by the temperate grassland region (16.14%) and alpine vegetation region of Qingzang Plateau (15.83%). The data can be divided into the raw data (58%) and numerical data (42%) according to their sources, and grain count (59%) and calculated pollen percentage (41%) by data type as well. The database constructed from the samples over China during the past half-century+ period is, though by far from complete, good representation of most of the areas in China, which can be effective in the reconstruction of past vegetation and climates as modern verification.

Key words: China, pollen database, surface pollen, modern vegetation