中国现代花粉数据集

doi:10.17521/cjpe.2021.0024

植物生态学报 ›› 2021, Vol. 45 ›› Issue (7): 799-808.DOI: 10.17521/cjpe.2021.0024

• 资料论文 • 上一篇

中国现代花粉数据集

陈海燕¹, 徐德宇¹, 廖梦娜¹^,², 李凯¹^,², 倪健¹^,²^,^*(), 曹现勇³, 程波⁴, 郝秀东⁵, 孔昭宸⁶, 李升峰⁷, 李小强⁸, 刘光琇⁹, 刘平妹¹⁰, 刘兴起¹¹, 孙湘君¹², 唐领余¹³, 魏海成¹⁴, 许清海¹⁵, 阎顺¹⁶, 羊向东¹⁷, 杨振京¹⁸, 于革¹⁷, 张芸⁶, 张志勇¹⁹, 赵克良⁸, 郑卓²⁰, Ulrike HERZSCHUH²¹

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华中师范大学城市与环境科学学院, 武汉 430079
⁵南宁师范大学北部湾环境演变与资源利用教育部重点实验室, 南宁 530001
⁶中国科学院植物研究所, 北京 100093
⁷南京大学地理与海洋科学学院, 南京 210023
⁸中国科学院古脊椎动物与古人类研究所, 北京 100044
⁹中国科学院西北生态环境资源研究院, 兰州 730000
¹⁰ 台湾大学地质科学系, 中国台北 10617
¹¹ 首都师范大学资源环境与旅游学院, 北京 100048
¹² 同济大学海洋与地球科学学院, 上海 200092
¹³ 中国科学院南京地质古生物研究所, 南京 210008
¹⁴ 中国科学院青海盐湖研究所, 西宁 810008
¹⁵ 河北师范大学资源与环境科学学院, 石家庄 050027
¹⁶ 中国科学院新疆生态与地理研究所, 乌鲁木齐 830011
¹⁷ 中国科学院南京地理与湖泊研究所, 南京 210008
¹⁸ 中国地质科学院水文地质与环境地质研究所, 石家庄 050061
¹⁹ 中国科学院庐山植物园, 江西九江 332900
²⁰ 中山大学地球科学与工程学院, 广州 510275
²¹ Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Potsdam 14473, Germany

收稿日期:2021-01-19 接受日期:2021-03-26 出版日期:2021-07-20 发布日期:2021-10-22
通讯作者: 倪健 ORCID:0000-0001-5411-7050
作者简介:* 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)

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

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)

摘要/Abstract

摘要：

孢粉是重建古植被、古气候的重要基础数据。孢粉数据库对研究样点至区域和全球尺度上的古环境演变规律、古气候变化特征反演和古生物地球化学循环模拟等具有重要意义。该文收集整理了中国1960-2020年间发表和部分未发表的现代花粉数据记录, 包括样品编号、采样位置、采样地经纬度和海拔高度、样品类型、数据来源、数据类型、周边植被信息、参考文献、花粉类群及其含量等信息; 并对数据进行筛选和标准化等处理, 由此整合为中国现代花粉数据集。该数据集由4 497个现代花粉采样点的数据信息组成, 包括660个来自中国第四纪孢粉数据库数据, 1 763个前期整理发表的数据和2 074个近期收集的数据, 涵盖772个花粉类群。样品类型以土壤表层样品(3 332个)为主, 苔藓样品以及湖泊、海洋表层样品等为辅, 广泛分布于全国不同地理区域和植被类型中, 其中以温带荒漠区域(24.91%)和亚热带常绿阔叶林区域(24.02%)最丰富, 其次为温带草原区域(16.14%)和青藏高原高寒植被区域(15.83%)。数据按照来源可分为原始数据(58%)和数值化数据(42%); 按照数据类型可分为原始统计粒数的样点(59%)和以花粉百分比表达的样点(41%)。半个多世纪以来, 科研人员开展了大量的表层现代花粉取样和研究。本数据集虽然仅获取部分记录, 但样点覆盖了我国绝大多数地区, 可有效地用于古植被与古气候重建的现代孢粉与现代植被校验, 并将为中国孢粉数据库的建立与更深入的孢粉研究提供数据支撑。

关键词: 中国, 花粉数据库, 表层花粉, 现代植被

Abstract:

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

陈海燕, 徐德宇, 廖梦娜, 李凯, 倪健, 曹现勇, 程波, 郝秀东, 孔昭宸, 李升峰, 李小强, 刘光琇, 刘平妹, 刘兴起, 孙湘君, 唐领余, 魏海成, 许清海, 阎顺, 羊向东, 杨振京, 于革, 张芸, 张志勇, 赵克良, 郑卓, Ulrike HERZSCHUH. 中国现代花粉数据集. 植物生态学报, 2021, 45(7): 799-808. DOI: 10.17521/cjpe.2021.0024

CHEN Hai-Yan, XU De-Yu, LIAO Meng-Na, LI Kai, NI Jian, CAO Xian-Yong, CHENG Bo, HAO Xiu-Dong, KONG Zhao-Chen, LI Sheng-Feng, LI Xiao-Qiang, LIU Guang-Xiu, LIU Ping-Mei, LIU Xing-Qi, SUN Xiang-Jun, TANG Ling-Yu, WEI Hai-Cheng, XU Qing-Hai, YAN Shun, YANG Xiang-Dong, YANG Zhen-Jing, YU Ge, ZHANG Yun, ZHANG Zhi-Yong, ZHAO Ke-Liang, ZHENG Zhuo, Ulrike HERZSCHUH. A modern pollen dataset of China. Chinese Journal of Plant Ecology, 2021, 45(7): 799-808. DOI: 10.17521/cjpe.2021.0024

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链接本文: https://www.plant-ecology.com/CN/10.17521/cjpe.2021.0024

https://www.plant-ecology.com/CN/Y2021/V45/I7/799

图/表 5

表1 花粉类群修订

Table 1 A revision of some pollen taxa

花粉科属 Pollen taxa	原始拉丁名 Original Latin name	统一后拉丁名 Unified Latin name
相思树属 Acacia	Minosa	Acacia
伞形科 Apiaceae	Umbelliferae	Apiaceae
棕榈科 Arecaceae	Palmae	Arecaceae
菊科 Asteraceae	Compositae	Asteraceae
菊亚科 Asteraceae subfamily	Asteroideae	Asteraceae
舌状花亚科 Cichorioideae	Liguliflorae	Asteraceae
十字花科 Brassicaceae	Cruciferae	Brassicaceae
藜科 Chenopodiaceae	Chenopodiaceae	Amaranthaceae
白花菜科 Cleomaceae	Cleomaceae	Capparaceae
柳兰属 Chamerion	Chamaenerion	Chamerion
藤黄科 Clusiaceae	Guttiferae	Clusiaceae
杜鹃花目 Ericales	Ericales	Ericaceae
掌脉石楠科 Epacridaceae	Epacridaceae	Eridaceae
豆科 Fabaceae	Leguminosae	Fabaceae
苏木科 Caesalpiniaceae	Caesalpiniaceae	Fabaceae
含羞草亚科 Mimosoideae	Mimosaceae	Fabaceae
含羞草亚科 Mimosoideae	Mimosoideae	Fabaceae
蝶形花亚科 Papilionoideae	Papilionaceae	Fabaceae
小二仙草科 Haloragaceae	Haloragaceae	Haloragidaceae
叉序草属 Isoglossa	Chingiacanthus	Isoglossa
驼绒藜属 Krascheninnikovia	Ceratoides	Krascheninnikovia
唇形科 Lamiaceae	Labiatae	Lamiaceae
禾本科 Poaceae	Gramineae	Poaceae
谷物 Grain	Cerealia	Poaceae_Cereal
红砂属 Hololachna	Hololachna	Reaumuria
红树属 Rhizophora	Mangrove	Rhizophora
爵床属 Justicia	Justicia	Rostellularia
美洲桕属 Sapium	Triadica	Sapium
三百草 Saururus chinensis	Herba	Saururus
獐芽菜属多枝组 Sect. Ophelia	Ophelia	Swertia

图1 中国现代花粉数据集样点概况。A, 样点分布图。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, 热带季风雨林、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, 数据类型图。D, 样品类型图。1, 土壤表层; 2, 苔藓; 3, 苔藓/土壤表层; 4, 扬尘; 5, 钻孔/剖面顶层; 6, 冰川表层; 7, 湖泊沉积物表层; 8, 海洋沉积物表层; 9, 湖相沉积物与河流冲积物表层。

Fig. 1 Sampling sites of the modern pollen dataset of China. A, Sample sites distribution. I, cold-temperate coniferous forests; II, temperate mixed coniferous and deciduous forests; III, warm-temperate 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, Data type. D, Sample type. 1, soil surface; 2, moss polster; 3, moss/soil surface; 4, dust flux; 5, core/profile top; 6, ice/glacier surface; 7, lake sediment surface; 8, marine sediment surface; 9, lacustrine and alluvial/fluvial surface.

图2 中国现代花粉样点海拔高度(A)和文献发表年代(B)。

Fig. 2 Altitude (A) and publication years (B) of modern pollen sites in China.

图3 中国常见花粉类群样点数量(A)和花粉含量(B)。

Fig. 3 Number of sample sites (A) and pollen percentage (B) of common pollen taxa in China.

图4 代表性花粉类群的空间分布特征。A, 松属。B, 蒿属。C, 落叶栎。D, 常绿栎。

Fig. 4 Spatial distribution of some representative pollen taxa. A, Pinus. B, Artemisia. C, Deciduous Quercus. D, Evergreen Quercus.

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	[ 郑卓, 黄康有, 魏金辉, 乐远福, 万秋池, 许清海, 吕厚远, 罗运利, 罗传秀, 郑艳伟, 李春海, 杨士雄, 李杰, 潘安定, 邓韫, 魏海成, Beaudouin C, Tarasov P, Nakagawa T, Cheddadi R (2013). 中国及其邻区现代孢粉数据: 空间分布特征和定量古环境重建中的应用. 第四纪研究, 33, 1037-1053.]
[33]	Zheng Z, Wei JH, Huang KY, Xu QH, Lu HY, Tarasov P, Luo CX, Beaudouin C, Deng Y, Pan AD, Zheng YW, Luo YL, Nakagawa T, Li CH, Yang SX, Peng HH, Cheddadi R (2014). East Asian pollen database: modern pollen distribution and its quantitative relationship with vegetation and climate. Journal of Biogeography, 41, 1819-1832.

中国现代花粉数据集

A modern pollen dataset of China

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