A Review of Relative Pollen Productivity Estimates From Temperate China for Pollen-Based Quantitative Reconstruction of Past Plant Cover

doi:10.3389/fpls.2018.01214

	A Review of Relative Pollen Productivity Estimates From Temperate China for Pollen-Based Quantitative Reconstruction of Past Plant Cover
	Li, Furong 1; Gaillard, Marie-Jose 1; Xu, Qinghai 2; Bunting, Mairi J.3; Li, Yuecong 2; Li, Jie 2; Mu, Huishuang 2; Lu, Jingyao 2; Zhang, Panpan 2; Zhang, Shengrui 2
刊名	FRONTIERS IN PLANT SCIENCE
	2018-09-05
卷号	9 页码:17
关键词	Extended R-Value (ERV) model relevant source area of pollen (RSAP) fall speed of pollen (FSP) vegetation-data collection modern pollen sampling
ISSN号	1664-462X
DOI	10.3389/fpls.2018.01214
通讯作者	Li, Furong(furong.li@lnu.se)
英文摘要	Model-based quantitative reconstruction of past plant cover in Europe has shown great potential for: (i) testing hypotheses related to Holocene vegetation dynamics, biodiversity, and their relationships with climate and land use; (ii) studying long term interactions between climate and land use. Similar model-based quantitative reconstruction of plant cover in China has been restricted due to the lack of standardized datasets of existing estimates of relative pollen productivity (RPP). This study presents the first synthesis of all RPP values available to date for 39 major plant taxa from temperate China and proposes standardized RPP datasets that can be used for model-based quantitative reconstructions of past plant cover using fossil pollen records for the region. We review 11 RPP studies in temperate China based on modern pollen and related vegetation data around the pollen samples. The study areas include meadow, steppe and desert vegetation, various woodland types, and cultural landscapes. We evaluate the strategies of each study in terms of selection of study areas and distribution of study sites; pollen- and vegetation-data collection in field; vegetation-data collection from satellite images and vegetation maps; and data analysis. We compare all available RPP estimates, select values based on precise rules and calculate mean RPP estimates. We propose two standardized RPP datasets for 31 (Alt1) and 29 (Alt2) plant taxa. The ranking of mean RPPs (Alt-2) relative to Poaceae (= 1) for eight major taxa is: Artemisia (21) > Pinus (18.4) > Betula (12.5) > Castanea (11.5) > Elaeagnaceae (8.8) > Juglans (7.5) > Compositae (4.5) > Amaranthaceae/Chenopodiaceae (4). We conclude that although RPPs are comparable between Europe and China for some genera and families, they can differ very significantly, e.g., Artemisia, Compositae, and Amaranthaceae/Chenopodiaceae. For some taxa, we present the first RPP estimates e.g. Castanea, Elaeagnaceae, and Juglans. The proposed standardized RPP datasets are essential for model-based reconstructions of past plant cover using fossil pollen records from temperate China.
资助项目	China Scholarship Council[201206180028] ; Faculty of Health and Life Sciences of Linnaeus University, Kalmar Sweden ; Swedish Strategical Research Area ModElling the Regional and Global Ecosystem, MERGE ; National Science Foundation of China[41371215] ; National Science Foundation of China[41630753] ; Mobility Research Grant from STINT-NSFC[41611130050] ; U.S. National Science Foundation ; Swiss Academy of Sciences
WOS关键词	RELEVANT SOURCE AREA ; SOUTHERN SWEDEN ; REVEALS-MODEL ; REGIONAL VEGETATION ; LAND-COVER ; CULTURAL LANDSCAPES ; HOLOCENE VEGETATION ; NORTHERN CHINA ; SIMULATION APPROACH ; FUNCTIONAL TYPES
WOS研究方向	Plant Sciences
语种	英语
出版者	FRONTIERS MEDIA SA
WOS记录号	WOS:000443717800001
资助机构	China Scholarship Council ; Faculty of Health and Life Sciences of Linnaeus University, Kalmar Sweden ; Swedish Strategical Research Area ModElling the Regional and Global Ecosystem, MERGE ; National Science Foundation of China ; Mobility Research Grant from STINT-NSFC ; U.S. National Science Foundation ; Swiss Academy of Sciences
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/54344]
专题	中国科学院地理科学与资源研究所
通讯作者	Li, Furong
作者单位	1.Linnaeus Univ, Dept Biol & Environm Sci, Kalmar, Sweden 2.Hebei Normal Univ, Coll Resources & Environm Sci, Shijiazhuang, Hebei, Peoples R China 3.Univ Hull, Sch Environm Sci, Kingston Upon Hull, N Humberside, England 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 5.Hebei Normal Univ, Inst Nihewan Archaeol, Shijiazhuang, Hebei, Peoples R China
推荐引用方式 GB/T 7714	Li, Furong,Gaillard, Marie-Jose,Xu, Qinghai,et al. A Review of Relative Pollen Productivity Estimates From Temperate China for Pollen-Based Quantitative Reconstruction of Past Plant Cover[J]. FRONTIERS IN PLANT SCIENCE,2018,9:17.
APA	Li, Furong.,Gaillard, Marie-Jose.,Xu, Qinghai.,Bunting, Mairi J..,Li, Yuecong.,...&Shen, Wei.(2018).A Review of Relative Pollen Productivity Estimates From Temperate China for Pollen-Based Quantitative Reconstruction of Past Plant Cover.FRONTIERS IN PLANT SCIENCE,9,17.
MLA	Li, Furong,et al."A Review of Relative Pollen Productivity Estimates From Temperate China for Pollen-Based Quantitative Reconstruction of Past Plant Cover".FRONTIERS IN PLANT SCIENCE 9(2018):17.