Does palynological diversity reflect floristic diversity? A case study from Northeast China
文献类型:期刊论文
作者 | Cui, Yifan1,2; Qin, Feng2; Zhao, Yan1,2; Cui, Qiaoyu2; Geng, Rongwei2,3; Li, Quan2 |
刊名 | SCIENCE CHINA-EARTH SCIENCES
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出版日期 | 2023-09-01 |
卷号 | 66期号:9页码:2097-2108 |
关键词 | Northeast China Modern palynological diversity Floristic diversity Richness and evenness Community dissimilarity index REVEALS model |
ISSN号 | 1674-7313 |
DOI | 10.1007/s11430-022-1131-y |
通讯作者 | Zhao, Yan(zhaoyan@igsnrr.ac.cn) |
英文摘要 | Fossil pollen data can provide important information of past vegetation diversity, on the basis of established relationship between modern palynological and floristic diversity. However, current studies on modern pollen assemblages in China have not examined this relationship yet. Herein, we report a case study from Northeast China, aiming to investigate the representation of modern palynological diversity to regional floristic diversity. A total of 87 sets of modern pollen and vegetation data from various vegetation types were applied to assess modern palynological diversity and floristic diversity in Northeast China, and the relationship between palynological and floristic diversity was studied using spatial pattern comparison and correlation analysis. Moreover, to reduce representation bias related to pollen production and dispersal, we calibrated pollen data using the Regional Estimates of Vegetation Abundance from Large Sites (REVEALS) model with Pollen Productivity Estimates (PPEs) and Fall Speeds of Pollen (FSP). The results show that the spatial variations of palynological and floristic richness among vegetation types are similar, and have a good positive correlation (r=0.41, p<0.01). However, palynological evenness presents a different spatial pattern from floristic evenness, with a weaker positive correlation (r=0.21, p>0.05). The calibration on pollen data using REVEALS model minimized the differences in spatial patterns between palynological and floristic diversity, and improved the correlations between them (richness, r=0.50, p<0.01; evenness, r=0.33, p<0.01). Our study indicates that palynological richness in Northeast China could reflect regional floristic richness in general, and the calibration with REVEALS model is recommended for reconstructing past floristic diversity from pollen data. |
WOS关键词 | SURFACE POLLEN ASSEMBLAGES ; PLANT DIVERSITY ; TIBETAN PLATEAU ; FOSSIL POLLEN ; VEGETATION ; CLIMATE ; RICHNESS ; EVENNESS ; GRADIENT ; IMPACTS |
资助项目 | National Key Research and Development Program of China[2022YFF0801501] ; National Natural Science Foundation of China[41888101] ; National Natural Science Foundation of China[42071114] ; National Natural Science Foundation of China[42277454] ; National Natural Science Foundation of China[41977395] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA20070101] |
WOS研究方向 | Geology |
语种 | 英语 |
WOS记录号 | WOS:001054228400001 |
出版者 | SCIENCE PRESS |
资助机构 | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/196754] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Zhao, Yan |
作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China 3.Univ Kiel, Inst Pre & Protohist Archaeol, Cluster Excellence ROOTS, D-24118 Kiel, Germany |
推荐引用方式 GB/T 7714 | Cui, Yifan,Qin, Feng,Zhao, Yan,et al. Does palynological diversity reflect floristic diversity? A case study from Northeast China[J]. SCIENCE CHINA-EARTH SCIENCES,2023,66(9):2097-2108. |
APA | Cui, Yifan,Qin, Feng,Zhao, Yan,Cui, Qiaoyu,Geng, Rongwei,&Li, Quan.(2023).Does palynological diversity reflect floristic diversity? A case study from Northeast China.SCIENCE CHINA-EARTH SCIENCES,66(9),2097-2108. |
MLA | Cui, Yifan,et al."Does palynological diversity reflect floristic diversity? A case study from Northeast China".SCIENCE CHINA-EARTH SCIENCES 66.9(2023):2097-2108. |
入库方式: OAI收割
来源:地理科学与资源研究所
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