中国地层花粉数据集

doi:10.17521/cjpe.2022.0316

植物生态学报 ›› 2023, Vol. 47 ›› Issue (10): 1453-1463.DOI: 10.17521/cjpe.2022.0316

中国地层花粉数据集

周伯睿¹, 廖梦娜¹^,², 李凯¹^,², 徐德宇¹, 陈海燕¹, 倪健¹^,²^,^*(), 曹现勇³, 孔昭宸⁴, 许清海⁵, 张芸⁴, Ulrike HERZSCHUH⁶, 蔡永立⁷, 陈碧珊⁸, 陈敬安⁹, 陈陵康¹⁰, 程波¹¹, 高洋¹², $\boxed{\hbox{黄赐璇}}$¹³, 黄小忠¹⁴, 李升峰¹⁵, 李文漪¹³, 廖淦标¹⁶, 刘光琇¹⁷, 刘平妹¹⁸, 刘兴起¹⁹, 马春梅¹⁵, 宋长青²⁰, 孙湘君²¹, 唐领余²², 王曼华²³, 王永波¹⁹, $\boxed{\hbox{夏玉梅}}$²⁴, 徐家声²⁵, 阎顺²⁶, 羊向东²⁷, 姚轶锋²⁸, 叶传永²⁹, 张志勇³⁰, 赵增友³¹, 郑卓³², 朱诚¹⁵

¹浙江师范大学化学与生命科学学院, 浙江金华 321004
²浙江金华山亚热带森林生态系统野外科学观测研究站, 浙江金华 321004
³中国科学院青藏高原研究所青藏高原地球系统科学国家重点实验室, 北京 100101
⁴中国科学院植物研究所植被与环境变化国家重点实验室, 北京 100093
⁵河北师范大学资源与环境科学学院, 石家庄 050027
⁶Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam 14473, Germany
⁷上海交通大学设计学院, 上海 200240
⁸岭南师范学院地理科学学院, 广东湛江 524048
⁹中国科学院地球化学研究所环境地球化学国家重点实验室, 贵阳 550081
¹⁰广东石油化工学院理学院, 广东茂名, 525000
¹¹华中师范大学城市与环境科学学院, 武汉 430079
¹²贵州师范大学喀斯特研究院, 贵阳 550001
¹³中国科学院地理科学与自然资源研究所, 北京 100101
¹⁴兰州大学环境资源学院, 兰州 730000
¹⁵南京大学地理与海洋科学学院, 南京 210023
¹⁶Department of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge, LA 70803, USA
¹⁷中国科学院西北生态环境资源研究院, 兰州 730000
¹⁸台湾大学地质科学系, 中国台北 10617
¹⁹首都师范大学资源环境与旅游学院, 北京 100048
²⁰北京师范大学地表过程与资源生态国家重点实验室, 北京 100875
²¹同济大学海洋与地球科学学院, 上海 200092
²²中国科学院南京地质古生物研究所, 南京 210008
²³鲁东大学资源与环境工程学院, 山东烟台 264025
²⁴中国科学院东北地理与农业生态研究所, 长春 130102
²⁵自然资源部第一海洋研究所, 山东青岛 266061
²⁶中国科学院新疆生态与地理研究所, 乌鲁木齐 830011
²⁷中国科学院南京地理与湖泊研究所, 南京 210008
²⁸中国科学院植物研究所系统与进化植物学国家重点实验室, 北京 100093
²⁹中国地质科学院矿产资源研究所, 北京 100037
³⁰中国科学院庐山植物园, 江西九江 332900
³¹西南大学地理科学学院, 重庆 400715
³²中山大学地球科学与工程学院, 广州 510275

收稿日期:2022-07-26 接受日期:2022-10-31 出版日期:2023-10-20 发布日期:2023-11-23
通讯作者: * 倪健: ORCID:0000-0001-5411-7050 (nijian@zjnu.edu.cn)
基金资助:
中国科学院战略性先导科技专项(XDA19050103);中国科学院战略性先导科技专项(XDA2009000003);中国科学院战略性先导科技专项(XDB31030104);国家自然科学基金(41971121)

A fossil pollen dataset of China

ZHOU Bo-Rui¹, LIAO Meng-Na¹^,², LI Kai¹^,², XU De-Yu¹, CHEN Hai-Yan¹, NI Jian¹^,²^,^*(), CAO Xian-Yong³, KONG Zhao-Chen⁴, XU Qing-Hai⁵, ZHANG Yun⁴, Ulrike HERZSCHUH⁶, CAI Yong-Li⁷, CHEN Bi-Shan⁸, CHEN Jing-An⁹, CHEN Ling-Kang¹⁰, CHENG Bo¹¹, GAO Yang¹², $\boxed{\hbox{HUANG Ci-Xuan}}$ ¹³, HUANG Xiao-Zhong¹⁴, LI Sheng-Feng¹⁵, LI Wen-Yi¹³, LIU Kam-Biu¹⁶, LIU Guang-Xiu¹⁷, LIU Ping-Mei¹⁸, LIU Xing-Qi¹⁹, MA Chun-Mei¹⁵, SONG Chang-Qing²⁰, SUN Xiang-Jun²¹, TANG Ling-Yu²², WANG Man-Hua²³, WANG Yong-Bo¹⁹, $\boxed{\hbox{XIA Yu-Mei}}$ ²⁴, XU Jia-Sheng²⁵, YAN Shun²⁶, YANG Xiang-Dong²⁷, YAO Yi-Feng²⁸, YE Chuan-Yong²⁹, ZHANG Zhi-Yong³⁰, ZHAO Zeng-You³¹, ZHENG Zhuo³², ZHU Cheng¹⁵

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
⁴State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
⁵College of Resource and Environmental Sciences, Hebei Normal University, Shijiazhuang 050027, China
⁶Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam 14473, Germany
⁷School of Design, Shanghai Jiao Tong University, Shanghai 200240, China
⁸School of Geographical Sciences, Lingnan Normal University, Zhanjiang, Guangdong 524048, China
⁹State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
¹⁰College of Sciences, Guangdong University of Petrochemical Technology, Maoming, Guangdong 525000, China
¹¹College of Urban and Environmental Sciences, Central China Normal University, Wuhan 430079, China
¹²School of Karst Science, Guizhou Normal University, Guiyang 550001, China
¹³Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
¹⁴College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China
¹⁵School of Geography and Ocean Science, Nanjing University, Nanjing 210023, China
¹⁶Department of Oceanography and Coastal Sciences, Louisiana State University, Baton Rouge, LA 70803, USA
¹⁷Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China
¹⁸Department of Geosciences, Taiwan University, Taipei 10617, China
¹⁹College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
²⁰State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China
²¹School of Ocean and Earth Science, Tongji University, Shanghai 200092, China
²²Nanjing Institute of Geology and Palaeontology, Chinese Academy of Sciences, Nanjing 210008, China
²³School of Resources and Environmental Engineering, Ludong University, Yantai, Shandong 264025, China
²⁴Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China
²⁵The First Institute of Oceanography, Ministry of Natural Resource, Qingdao, Shandong 266061, China
²⁶Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Ürümqi 830011, China
²⁷Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing 210008, China
²⁸State Key Laboratory of Systematic and Evolutionary Botany, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
²⁹Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing 100037, China
³⁰Lushan Botanical Garden, Chinese Academy of Sciences, Jiujiang, Jiangxi 332900, China
³¹School of Geographical Sciences, Southwest University, Chongqing 400715, China
³²School of Earth Sciences and Engineering, Sun Yat-Sen University, Guangzhou 510275, China

Received:2022-07-26 Accepted:2022-10-31 Online:2023-10-20 Published:2023-11-23
Contact: * (nijian@zjnu.edu.cn)
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);National Natural Science Foundation of China(41971121)

1. 附录中国地层花粉数据集.xlsx(39459KB)

摘要/Abstract

摘要：

地层孢粉数据是古植被和古气候重建等古环境研究的重要基础。孢粉数据库推动古环境研究从点到区域和全球尺度, 从定性到定量, 从而实现在大空间尺度和长时间序列上探索植被、气候和人类干扰的相互关系, 以更好地理解地球系统的演变。该数据集整合了全国第四纪末期(5万年以来)共372个地层花粉序列, 涵盖790个花粉类群, 样点分布于中国30个省级行政区与领海。数据集包含地层花粉采样点的地名、经纬度坐标和海拔高度、数据来源、样品类型、沉积物长度、样品数量、测年方法及测年数量、时间跨度和参考文献, 以及每个采样点的花粉含量百分比。数据主要来源于20世纪80年代至今。采样点集中分布在温带和亚热带森林、温带草原和荒漠以及青藏高原高寒植被区域; 在深海到青藏高原不同海拔高度都有分布, 但集中在海拔2 000 m之下。按照数据来源区分, 原始数据样点178个, 占47.8%; 数值化数据194个, 占52.2%。按照样品类型分类, 多数样点为湖泊样品(151个)、冲积物/洪积物样品(99个)与泥炭样品(67个), 占总样点数的85.2%。年代测定的主要方法为放射性碳同位素手段(占样品总数的93.8%), 大部分记录有2-10个测年数据。采样点的平均花粉类群数量是19个, 以4-30个花粉类群的采样点最多。代表性花粉类群(松属(Pinus)、栎属(Quercus)、蒿属(Artemisia)、禾本科)含量的时空分布格局表明, 从末次盛冰期到全新世, 这些花粉科属的分布范围扩大, 含量也增加, 但分布区域具有分异。半个多世纪以来, 孢粉学工作者建立中国大部分地区的地层花粉记录, 为探究古环境演变及其气候变化、人类活动驱动机制奠定了重要的基础。

关键词: 花粉数据库, 地层花粉, 第四纪末期, 古植被, 古气候

Abstract:

Fossil pollen and spore records provide highly creditable proxy data to investigate the past environmental changes such as palaeovegetation and palaeoclimate. Pollen database promotes past environmental studies from local to regional and global scales and from qualitative to quantitative reconstructions. This is of great significance on exploring the interactions among past vegetation, climates and anthropogenic disturbances at large spatial scale and long temporal scale, to better understand the evolution of the earth system. In this paper, a fossil pollen dataset of China is compiled, by synthesizing 372 original or digitized fossil pollen records including 790 pollen taxa in China’s land and ocean during the late-Quaternary (since 50 ka BP). The dataset includes site names, latitude, longitude and altitude, pollen data source, sample type, sediment length or span, sample number of each site, dating method and dating number, age span and reference, as well as the fossil pollen percentage of each sampling site. The pollen data, mostly published from late 1980s to present, are concentrated in vegetation regions of temperate and subtropical forests, temperate grasslands, temperate deserts and alpine vegetation on the Qingzang Plateau. Sample sites are distributed at different altitudes from deep sea to high Qingzang Plateau, but the majority of the sites are located between 0-2 000 m. The dataset comprises of 178 raw pollen records (47.8%) and 194 digitized pollen records (52.2%). Pollen samples are mainly from lake sediment (151 sites), alluvial/fluvial sediment (99 sites), and peat (67 sites), accounting for 85.2% of the total sampling sites. Radiocarbon is the main dating method that accounts for 93.8% of total samples, and most of the sites have 2-10 radiocarbon dating data. Each site has an average number of pollen taxa of 19, with the most sites having 4-30 pollen taxa. The temporal and spatial distribution of representative pollen taxa (Pinus, Quercus, Artemisia and Poaceae) reveals increasing trends both in their distributional range and pollen concentration from the last glacial maximum to Holocene, but such trends have various regional patterns in different parts of China. This fossil pollen dataset is a fruitful work of collection of pollen records in most territory of China that conducted by palynologists from China and overseas during the last half century. It consolidates the valuable and fundamental data that can be potentially utilized to explore the evolution of past environments and their driving mechanism of climate change and human disturbance.

Key words: pollen database, fossil pollen, late-Quaternary, palaeovegetation, palaeoclimate

周伯睿, 廖梦娜, 李凯, 徐德宇, 陈海燕, 倪健, 曹现勇, 孔昭宸, 许清海, 张芸, Ulrike HERZSCHUH, 蔡永立, 陈碧珊, 陈敬安, 陈陵康, 程波, 高洋, $\boxed{\hbox{黄赐璇}}$, 黄小忠, 李升峰, 李文漪, 廖淦标, 刘光琇, 刘平妹, 刘兴起, 马春梅, 宋长青, 孙湘君, 唐领余, 王曼华, 王永波, $\boxed{\hbox{夏玉梅}}$, 徐家声, 阎顺, 羊向东, 姚轶锋, 叶传永, 张志勇, 赵增友, 郑卓, 朱诚. 中国地层花粉数据集. 植物生态学报, 2023, 47(10): 1453-1463. DOI: 10.17521/cjpe.2022.0316

ZHOU Bo-Rui, LIAO Meng-Na, LI Kai, XU De-Yu, CHEN Hai-Yan, NI Jian, CAO Xian-Yong, KONG Zhao-Chen, XU Qing-Hai, ZHANG Yun, Ulrike HERZSCHUH, CAI Yong-Li, CHEN Bi-Shan, CHEN Jing-An, CHEN Ling-Kang, CHENG Bo, GAO Yang, $\boxed{\hbox{HUANG Ci-Xuan}}$ , HUANG Xiao-Zhong, LI Sheng-Feng, LI Wen-Yi, LIU Kam-Biu, LIU Guang-Xiu, LIU Ping-Mei, LIU Xing-Qi, MA Chun-Mei, SONG Chang-Qing, SUN Xiang-Jun, TANG Ling-Yu, WANG Man-Hua, WANG Yong-Bo, $\boxed{\hbox{XIA Yu-Mei}}$ , XU Jia-Sheng, YAN Shun, YANG Xiang-Dong, YAO Yi-Feng, YE Chuan-Yong, ZHANG Zhi-Yong, ZHAO Zeng-You, ZHENG Zhuo, ZHU Cheng. A fossil pollen dataset of China. Chinese Journal of Plant Ecology, 2023, 47(10): 1453-1463. DOI: 10.17521/cjpe.2022.0316

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链接本文: https://www.plant-ecology.com/CN/10.17521/cjpe.2022.0316

https://www.plant-ecology.com/CN/Y2023/V47/I10/1453

图/表 7

表1 花粉类群学名订正

Table 1 Revision of scientific name of some pollen taxa

原始类群名 Original taxa name	统一后类群名 Unified taxa name
番桫椤属 Cyathea	桫椤属 Alsophila
伞形科 Umbelliferae	伞形科 Apiaceae
棕榈科 Palmae	棕榈科 Arecaceae
菊科 Compositae	菊科 Asteraceae
舌状花亚科 Cichorioideae	菊科 Asteraceae
管状花亚科 Tubuliflorae	菊科 Asteraceae
十字花科 Cruciferae	十字花科 Brassicaceae
白花菜科 Capparidaceae	山柑科 Capparaceae
藤黄科 Guttiferae	藤黄科 Clusiaceae
蝶形花亚科 Leguminosae	豆科 Fabaceae
蝶形花科 Papilionaceae	豆科 Fabaceae
苏木科 Caesalpiniaceae	豆科 Fabaceae
含羞草科 Mimosaceae	豆科 Fabaceae
小二仙草科 Haloragaceae	小二仙草科 Haloragidaceae
驼绒藜属 Ceratoides	驼绒藜属 Krascheninnikovia
唇形科 Labiatae	唇形科 Lamiaceae
柳叶菜科 Oenotheraceae	柳叶菜科 Onagraceae
禾本科 Gramineae	禾本科 Poaceae

图1 中国第四纪末期地层花粉样点分布。A, 样点分布图, 背景为中国植被区划图(中国科学院中国植被图编辑委员会, 2007)。I, 寒温带针叶林区域; II, 温带针阔叶混交林区域; III, 暖温带落叶阔叶林区域; IV, 亚热带常绿阔叶林区域; V, 热带季雨林-雨林区域; VI, 温带草原区域; VII, 温带荒漠区域; VIII, 青藏高原高寒植被区域。B, 数据来源图。C, 样品类型图。1, 冲积物/洪积物; 2, 考古遗址; 3, 冰川; 4, 湖泊; 5, 黄土/古土壤; 6, 海洋; 7, 泥炭。D, 放射性碳测年数量图。E, 花粉类群数量图。F, 时间跨度图。

Fig. 1 Sampling sites of late-Quaternary fossil pollen in China. A, Sample site distribution, the background is the vegetation regionalization of China (Editorial Committee of Vegetation Map of China, Chinese Academy of Sciences, 2007). I, cold-temperate coniferous forests; II, temperate mixed coniferous and broad-leaved forests; III, warm-temperate broad-leaved deciduous forests; IV, subtropical evergreen broad-leaved forests; V, tropical monsoon rainforests and rainforests; VI, temperate grasslands; VII, temperate deserts; VIII, alpine vegetation on the Qingzang Plateau. B, Data sources. C, Sample types. 1, alluvial/fluvial; 2, archaeological site; 3, ice; 4, lake; 5, loess/palaeosol; 6, marine; 7, peat. D, Number of radiocarbon dating. E, Number of pollen taxa in a sampling site. F, Age span of sampling sites.

图2 中国第四纪末期地层花粉样点的海拔(A)和发表年代分布(B)。

Fig. 2 Altitude (A) and published years (B) of late-Quaternary fossil pollen sites in China.

图3 代表性花粉类群松属含量百分比的时空分布特征。

Fig. 3 Temporal-spatial distributions of pollen percentage of representative pollen taxa Pinus.

图4 代表性花粉类群蒿属含量百分比的时空分布特征。

Fig. 4 Temporal-spatial distributions of pollen percentage of representative pollen taxa Artemisia.

图5 代表性花粉类群禾本科含量百分比的时空分布特征。

Fig. 5 Temporal-spatial distributions of pollen percentage of representative pollen taxa Poaceae.

图6 代表性花粉类群栎类含量百分比的时空分布特征。I, 落叶栎类; II, 常绿栎类; III, 未区分栎类。

Fig. 6 Temporal-spatial distributions of pollen percentage of representative pollen taxa Quercus type. I, evergreen Quercus type; II, deciduous Quercus type; III, undefined Quercus type.

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中国地层花粉数据集

A fossil pollen dataset of China

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