干旱区生态环境知识资源中心(Arid): Modern Pollen Rain in the Tibetan Plateau

Arid

DOI	10.3389/feart.2021.732441
	Modern Pollen Rain in the Tibetan Plateau
	Shen, Caiming; Liu, Kam-biu; Tang, Lingyu; Overpeck, Jonathan T.
通讯作者	Shen, CM (corresponding author), Yunnan Normal Univ, Fac Geog, Yunnan Key Lab Plateau Geog Proc & Environm Chang, Kunming, Yunnan, Peoples R China. ; Shen, CM (corresponding author), Louisiana State Univ, Coll Coast & Environm, Dept Oceanog & Coastal Sci, Baton Rouge, LA 70803 USA. ; Shen, CM (corresponding author), Chinese Acad Sci, Nanjing Inst Geol & Paleontol, Nanjing, Peoples R China.
来源期刊	FRONTIERS IN EARTH SCIENCE
EISSN	2296-6463
出版年	2021
卷号	9
英文摘要	The basis for the interpretation of fossil-pollen assemblages in terms of vegetation and climate is the present-day relationship of vegetation and climate to pollen rain. Detailed modern pollen spectra from the Tibetan Plateau are described here to explore the relationship between modern pollen rain and vegetation. Two hundred and thirty four (234) pollen surface samples were collected from moss polsters, top soil, and lake surface sediments from forests, shrublands, shrub meadows, meadows, steppes, and deserts in the Tibetan Plateau. Pollen assemblages from each vegetation type are detailed described using pollen percentage data, and compared descriptively and numerically using cluster analysis. Pollen spectra from forests are characterized by high percentages of tree pollen types including Pinus, Abies, Picea, Quercus, and Betula. Pollen spectra from shrublands have highest amounts of shrub pollen. The dominants of shrublands, such as Rhododendron, Juniperus, Salix, and shrub Quercus, are well-represented in most of these pollen spectra. Pollen spectra from shrub meadows have less shrub pollen than those from shrublands, but more than those from meadows, steppes and deserts. The most frequent shrub pollen in this vegetation type is Rosaceae. Most of pollen spectra from shrub meadows are dominated by Cyperaceae pollen. Pollen spectra from meadows are characterized by the very high percentages of Cyperaceae pollen. The highest amounts of Cyperaceae pollen occur in pollen spectra from alpine-marshy meadows. Pollen spectra from Stipa steppes are characterized by the highest percentages of Poaceae pollen, and high Cyperaceae pollen percentages, whereas pollen spectra from Artemisia steppes have the highest percentages of Artemisia pollen. Pollen spectra from arid deserts are dominated by Chenopodiaceae. Main vegetation types can be distinguished by their modern pollen rain, i.e., modern pollen spectra do reflect the modern vegetation at local and regional scale in the Tibetan Plateau. This modern pollen database can thus be used to explore the pollen/vegetation and pollen/climate relationships by a variety of numerical methods.
英文关键词	modern pollen rain forest shrubland shrub meadow meadow steppe desert the Tibetan plateau
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000697904900001
WOS关键词	CLIMATE CALIBRATION SET ; VEGETATION RELATIONSHIPS ; QUATERNARY HISTORY ; SICHUAN-PROVINCE ; LAKE-SEDIMENTS ; RECONSTRUCTION ; ASSEMBLAGES ; MOUNTAINS ; HOLOCENE
WOS类目	Geosciences, Multidisciplinary
WOS研究方向	Geology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/363285
作者单位	[Shen, Caiming] Yunnan Normal Univ, Fac Geog, Yunnan Key Lab Plateau Geog Proc & Environm Chang, Kunming, Yunnan, Peoples R China; [Shen, Caiming; Liu, Kam-biu] Louisiana State Univ, Coll Coast & Environm, Dept Oceanog & Coastal Sci, Baton Rouge, LA 70803 USA; [Shen, Caiming; Tang, Lingyu] Chinese Acad Sci, Nanjing Inst Geol & Paleontol, Nanjing, Peoples R China; [Overpeck, Jonathan T.] Univ Michigan, Sch Environm & Sustainabil, Ann Arbor, MI 48109 USA
推荐引用方式 GB/T 7714	Shen, Caiming,Liu, Kam-biu,Tang, Lingyu,et al. Modern Pollen Rain in the Tibetan Plateau[J],2021,9.
APA	Shen, Caiming,Liu, Kam-biu,Tang, Lingyu,&Overpeck, Jonathan T..(2021).Modern Pollen Rain in the Tibetan Plateau.FRONTIERS IN EARTH SCIENCE,9.
MLA	Shen, Caiming,et al."Modern Pollen Rain in the Tibetan Plateau".FRONTIERS IN EARTH SCIENCE 9(2021).