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Artemisia pollen dataset for exploring the potential ecological indicators in deep time

文献类型：期刊论文

作者Lu, Li-Li2; Jiao, Bo-Han2; Qin, Feng3; Xie, Gan2; Lu, Kai-Qing2; Li, Jin-Feng2; Sun, Bin2; Li, Min2; Ferguson, David K.1; Gao, Tian-Gang2,4
刊名EARTH SYSTEM SCIENCE DATA
出版日期2022-09-02
卷号14期号:9页码:3961-3995
ISSN号1866-3508
DOI10.5194/essd-14-3961-2022
英文摘要Artemisia, along with Chenopodiaceae, is the dominant component growing in the desert and dry grassland of the Northern Hemisphere. Artemisia pollen with its high productivity, wide distribution, and easy identification is usually regarded as an eco-indicator for assessing aridity and distinguishing grassland from desert vegetation in terms of the pollen relative abundance ratio of Chenopodiaceae/Artemisia (C/A). Nevertheless, divergent opinions on the degree of aridity evaluated by Artemisia pollen have been circulating in the palynological community for a long time. To solve the confusion, we first selected 36 species from nine clades and three outgroups of Artemisia based on the phylogenetic framework, which attempts to cover the maximum range of pollen morphological variation. Then, sampling, experiments, photography, and measurements were taken using standard methods. Here, we present pollen datasets containing 4018 original pollen photographs, 9360 pollen morphological trait measurements, information on 30 858 source plant occurrences, and corresponding environmental factors. Hierarchical cluster analysis on pollen morphological traits was carried out to subdivide Artemisia pollen into three types. When plotting the three pollen types of Artemisia onto the global terrestrial biomes, different pollen types of Artemisia were found to have different habitat ranges. These findings change the traditional concept of Artemisia being restricted to arid and semi-arid environments. The data framework that we designed is open and expandable for new pollen data of Artemisia worldwide. In the future, linking pollen morphology with habitat via these pollen datasets will create additional knowledge that will increase the resolution of the ecological environment in the geological past. The Artemisia pollen datasets are freely available at Zenodo (https://doi.org/10.5281/zenodo.6900308; Lu et al., 2022).
WOS关键词TIBETAN PLATEAU ; PALYNOLOGICAL FEATURES ; GENERA ASTERACEAE ; SYSTEMATIC MARKER ; CLIMATE ; VEGETATION ; EVOLUTION ; CHINA ; L. ; ASSEMBLAGES
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDB26000000] ; National Natural Science Foundation of China[31970233] ; National Natural Science Foundation of China[32070240] ; National Natural Science Foundation of China[31870179] ; National Natural Science Foundation of China[31570204] ; National Natural Science Foundation of China[42077416] ; National Natural Science Foundation of China[32000174] ; National Natural Science Foundation of China[42077423] ; Chinese Academy of Sciences President's International Fellowship Initiative[2018VBA0016] ; Sino-Africa Joint Research Center[SAJC201614] ; Key Project at Central Government Level: the ability establishment of sustainable use for valuable Chinese medicine resources[2060302] ; National Plant Specimen Resource Bank[E0117G1001] ; International Partnership Program of Chinese Academy of Sciences[151853KYSB20190027]
WOS研究方向Geology ; Meteorology & Atmospheric Sciences
语种英语
出版者COPERNICUS GESELLSCHAFT MBH
WOS记录号WOS:000849639000001
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; Chinese Academy of Sciences President's International Fellowship Initiative ; Sino-Africa Joint Research Center ; Key Project at Central Government Level: the ability establishment of sustainable use for valuable Chinese medicine resources ; National Plant Specimen Resource Bank ; International Partnership Program of Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/182164]  
专题陆地表层格局与模拟院重点实验室_外文论文
作者单位1.Univ Vienna, Dept Paleontol, Althan str 14, A-1090 Vienna, Austria
2.Chinese Acad Sci, State Key Lab Systemat & Evolutionary Bot, Inst Bot, 20 Nanxincun Xiangshan, Beijing 100093, Peoples R China
3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714		 Lu, Li-Li,Jiao, Bo-Han,Qin, Feng,et al. Artemisia pollen dataset for exploring the potential ecological indicators in deep time[J]. EARTH SYSTEM SCIENCE DATA,2022,14(9):3961-3995.
APA Lu, Li-Li.,Jiao, Bo-Han.,Qin, Feng.,Xie, Gan.,Lu, Kai-Qing.,...&Wang, Yu-Fei.(2022).Artemisia pollen dataset for exploring the potential ecological indicators in deep time.EARTH SYSTEM SCIENCE DATA,14(9),3961-3995.
MLA Lu, Li-Li,et al."Artemisia pollen dataset for exploring the potential ecological indicators in deep time".EARTH SYSTEM SCIENCE DATA 14.9(2022):3961-3995.

入库方式： OAI收割

来源：地理科学与资源研究所

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