中国现代孢粉数据库的质量评估、整合及其应用  

The quality assessment,integration and application of Chinese modern pollen datasets

作　　者：崔安宁 范保硕 徐德克[1,3] 郑卓 许清海 罗运利[5] 黄康有[4] 李月丛 沈才明[6] 曹现勇[7,8] 吕厚远 CUI Anning;FAN Baoshuo;XU Deke;ZHENG Zhuo;XU Qinghai;LUO Yunli;HUANG Kangyou;LI Yuecong;SHEN Caiming;CAO Xianyong;LYU Houyuan(Key Laboratory of Cenozoic Geology and Environment,Institute of Geology and Geophysics,Chinese Academy of Sciences,Beijing 100029;College of Geographical Sciences,Hebei Normal University,Shijiazhuang 050024,Hebei;Innovation Academy for Earth Science,Chinese Academy of Sciences,Beijing 100029;Guangdong Provincial Key Lab of Geodynamic and Geohazards,School of Earth Sciences and Engineering,Sun Yat-sen University,Zhuhai 519082,Guangdong;Institute of Botany,Chinese Academy of Sciences,Beijing 100093;Faculty of Geography,Yunnan Normal University,Kunming 650050,Yunnan;Group of Alpine Paleoecology and Human Adaptation(ALPHA),Institute of Tibetan Plateau Research,Chinese Academy of Sciences,Beijing 100101;Key Laboratory of Tibetan Plateau Earth System,Environment and Resources(TPESER),Institute of Tibetan Plateau Research,Chinese Academy of Sciences,Beijing 100101;College of Earth and Planetary Sciences,University of Chinese Academy of Sciences,Beijing 100049)

机构地区：[1]中国科学院地质与地球物理研究所,中国科学院新生代地质与环境重点实验室,北京100029 [2]河北师范大学地理科学学院,河北石家庄050024 [3]中国科学院地球科学研究院,北京100029 [4]中山大学地球科学与工程学院,广东省地球动力作用与地质灾害重点实验室,广东珠海519082 [5]中国科学院植物研究所,北京100093 [6]云南师范大学地理学部,云南昆明650050 [7]中国科学院青藏高原研究所,古生态与人类适应团队,北京100101 [8]中国科学院青藏高原研究所,青藏高原地球系统与资源环境重点实验室,北京100101 [9]中国科学院大学地球与行星科学学院,北京100049

出　　处：《第四纪研究》2024年第3期605-622,共18页Quaternary Sciences

基　　金：国家自然科学基金重大项目(批准号:T2192954);国家自然科学基金项目(批准号:42202217、41830322和42071103);中国博士后科学基金面上项目(批准号:2021M703195)共同资助。

摘　　要：高质量的现代孢粉数据库及其准确的气象插值数据是古气候定量重建的基础。目前我国已公开发表的覆盖全国范围的多个现代孢粉数据库,极大地推进了我国孢粉学在古气候、古环境方面的研究。但是由于不同的数据库是在不同时间、由不同学者相继建立的,在数据库使用中目前存在三类问题:1)孢粉属种分类标准不统一,未统计蕨类孢子和水生植物花粉类群;2)现代孢粉点的气候参数插值不准确,经常利用网格经纬度取值,缺少垂直带海拔高度的校正;3)现代孢粉点空间分布不均匀,缺少高寒旱区和东部平原区的数据。本研究通过对新增加的青藏高原寒区、旱区等1791个现代孢粉组合数据和公开发表的现代孢粉数据,进行质量评估和整合,规范了孢粉类型,删除了重复的、质量差的样点;对比了网格法和反距离法插值年均温和年降水量的优劣。整理成为包含555个科/属的9484个样点的现代孢粉数据库(MPD_IGG.A),其中包含蕨类孢子和水生植物花粉的5107样点另外组成MPD_IGG.B数据库,将不包含蕨类孢子和水生植物花粉的4377样点组成MPD_IGG.C数据库。质量评估表明,利用具有蕨类孢子和水生植物花粉的数据库(MPD_IGG.B)以及采用反距离方法获取的年均温、年降水量的数据集建立的转换函数,其预测误差相对更小,重建值与观测值间相关系数更高。新整合的这3套数据库将会为我国古气候、古环境、古生态等定量重建研究提供重要支撑。High-quality modern pollen datasets and accurate meteorological interpolation data are the foundation of paleoclimate quantitative reconstruction.In recent decades,several modern pollen datasets covering China and adjacent areas have been published,which greatly promoted the research of palynology in paleoclimatic and paleoenvironmental reconstruction.However,the databases were established by researchers in different years,three issues need to be noted in the use of the datasets:(1)The standard of pollen species classification is not unified,and some datasets excluded the pteridophyte spores and aquatic pollen components;(2)The meteorological interpolation of modern pollen samples is not standardized,often using grid longitude and latitude values,lacking vertical altitude correction;(3)The spatial distribution of modern pollen samples exists heterogeneity.This article evaluates and integrates the newly added pollen data of more than 1791 samples in the cold and arid areas of the Tibetan Plateau and other published pollen data,standardizes pollen types,deletes duplicate and poor-quality samples;compares the advantages and disadvantages of the grid method and inverse distance method in interpolation the mean annual temperature(MAT)and annual precipitation(MAP).It is organized into a modern pollen dataset(MPD_IGG.A)containing 9484 samples of 555 families/genera,of which 5107 samples including pteridophyte spores and aquatic pollen constitute the MPD_IGG.B dataset,and 4377 samples without pteridophyte spores and aquatic pollen constitute the MPD_IGG.C dataset.The MPD_IGG.A dataset covers an area from latitude 6°N to 65°N,from longitude 67°E to 146°E,and from elevation-159 m to 5570 m.Quality evaluation shows that using the database(MPD_IGG.B)with pteridophyte spores and aquatic plant pollen and meteorological interpolated by the inverse distance method to establish a transfer function,has a relatively smaller prediction error and a higher correlation coefficient between the reconstructed value and the observation

关 键 词：IGG现代孢粉数据库 气候插值 古气候定量重建 

分 类 号：Q944.571[生物学—植物学] Q948.112.4