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Influence of plant coverage and environmental variables on pollen productivities: evidence from northern China

文献类型：期刊论文

作者Zhang, Kaixiu8; Qin, Wen8; Tian, Fang8; Cao, Xianyong6,7; Li, Yuecong5; Xiao, Jule4; Ding, Wei3; Herzschuh, Ulrike1,2; Xu, Qinghai5
刊名FRONTIERS OF EARTH SCIENCE
出版日期2020-11-16
页码14
关键词pollen influx pollen productivity vegetation reconstruction REVEALS model northern China
ISSN号2095-0195
DOI10.1007/s11707-020-0834-0
英文摘要Pollen productivity is a critical parameter in the interpretation of pollen-vegetation relationships, and in the quantitative reconstructions of past vegetation from fossil pollen records. One-year monitoring records were collected for 143 pollen traps in various parts of northern China, together with modern vegetation data. Absolute Pollen Productivity Estimates (APPE) were calculated for 11 taxa using the ratio of pollen influx to plant coverage at each applicable sampling site, in which the plants of the target taxon were present. Relative Pollen Productivity Estimates (RPPE) were calculated for the 11 taxa (taking Poaceae as the reference taxon) at those sites in which each taxon occurred together with Poaceae. Artemisia and Chenopodiaceae were found to have the highest RPPEs and the largest RPPEs ranges, while Pinus and Quercus also had higher RPPEs than Poaceae; Abies, Betula, Larix, Picea and Cyperaceae had relatively low RPPEs. Variations in RPPE between different areas may be explained by variations in climatic conditions, plant coverage and land use practices which might influence plant growing situation. Marked effect that variations in pollen productivity can have on vegetation reconstructions was demonstrated by applying these distinct RPPEs to reconstructions of Holocene vegetation in the Lake Daihai area (northern China), such as a large range of RPPE produces a large range of plant coverage. Variations in RPPEs within a single taxon, related to vegetation coverage and climatic conditions, therefore need to be considered in future vegetation reconstructions.
WOS关键词RELEVANT SOURCE AREA ; MAJOR TREE TAXA ; LANDSCAPE RECONSTRUCTION ALGORITHM ; BROADLEAVED MIXED FOREST ; QUANTITATIVE RECONSTRUCTION ; PAST VEGETATION ; REGIONAL VEGETATION ; SURFACE POLLEN ; CLIMATE RELATIONSHIPS ; SOUTHERN GREENLAND
资助项目National Natural Science Foundation of China[41877459] ; National Natural Science Foundation of China[41630753] ; CAS Pioneer Hundred Talents Program ; German Research Foundation (DFG)[41861134030]
WOS研究方向Geology
语种英语
WOS记录号WOS:000589981000001
出版者SPRINGER
资助机构National Natural Science Foundation of China ; National Natural Science Foundation of China ; CAS Pioneer Hundred Talents Program ; CAS Pioneer Hundred Talents Program ; German Research Foundation (DFG) ; German Research Foundation (DFG) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; CAS Pioneer Hundred Talents Program ; CAS Pioneer Hundred Talents Program ; German Research Foundation (DFG) ; German Research Foundation (DFG) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; CAS Pioneer Hundred Talents Program ; CAS Pioneer Hundred Talents Program ; German Research Foundation (DFG) ; German Research Foundation (DFG) ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; CAS Pioneer Hundred Talents Program ; CAS Pioneer Hundred Talents Program ; German Research Foundation (DFG) ; German Research Foundation (DFG)
源URL[http://ir.iggcas.ac.cn/handle/132A11/98725]  
专题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
通讯作者Tian, Fang; Xu, Qinghai
作者单位1.Univ Potsdam, Inst Earth & Environm Sci, D-14476 Potsdam, Germany
2.Res Unit Potsdam, Alfred Wegener Inst Helmholtz Ctr Polarand Marine, D-14473 Potsdam, Germany
3.Free Univ Berlin, Inst Geol Sci, Palaeontol, D-12249 Berlin, Germany
4.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Cenozo Geol & Environm, Beijing 100029, Peoples R China
5.Hebei Normal Univ, Coll Resources & Environm Sci, Shijiazhuang 050024, Hebei, Peoples R China
6.Chinese Acad Sci, Inst Tibetan Plateau Res, Alpine Paleoecol & Human Adaptat Grp ALPHA, Key Lab Alpine Ecol, Beijing 100101, Peoples R China
7.Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol, Beijing 100101, Peoples R China
8.Capital Normal Univ, Beijing Key Lab Resource Environm & GIS, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Kaixiu,Qin, Wen,Tian, Fang,et al. Influence of plant coverage and environmental variables on pollen productivities: evidence from northern China[J]. FRONTIERS OF EARTH SCIENCE,2020:14.
APA Zhang, Kaixiu.,Qin, Wen.,Tian, Fang.,Cao, Xianyong.,Li, Yuecong.,...&Xu, Qinghai.(2020).Influence of plant coverage and environmental variables on pollen productivities: evidence from northern China.FRONTIERS OF EARTH SCIENCE,14.
MLA Zhang, Kaixiu,et al."Influence of plant coverage and environmental variables on pollen productivities: evidence from northern China".FRONTIERS OF EARTH SCIENCE (2020):14.

入库方式： OAI收割

来源：地质与地球物理研究所

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