Pollen R-values in arid central Asia for quantitative palaeo-vegetation reconstruction

doi:10.1016/j.palaeo.2022.110993

	Pollen R-values in arid central Asia for quantitative palaeo-vegetation reconstruction
	Wang, Qiang ; Li, Jin-Feng ; Lu, Kai-Qing ; Xie, Gan ; Qin, Feng 1; Ferguson, David K.; Wang, Guo-Hong ; Yao, Yi-Feng ; Wang, Yu-Fei
	2022
发表期刊	PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY
ISSN	0031-0182
卷号	596
摘要	Establishing the relationship between surface pollen assemblages and related modern vegetation provides a bridge for reconstructing the palaeo-vegetation succession and related climate changes. Numerous contributions have demonstrated an inconsistency between the relative abundance values of surface pollen assemblages and corresponding modern vegetation for some taxa, which is attributed to differences in their pollen production, dispersal mode and preservation potential. Consequently, the concept of R-value was introduced as a correction coefficient to counterbalance this discrepancy. Unlike most of the complex forest and grassland ecosystems, desert vegetation with fewer dominant taxa provides a simpler model to demonstrate how to use the R-value to correct this deviation. Here, we propose a scheme of Rrel median values from modern desert vegetation types based on calculated R and Rrel adjustment coefficients of the dominant taxa using surface pollen and related modern vegetation data from 145 sample plots along an east-west desert transect in the eastern arid central Asia (ACA). These data revealed that 1) taking Nitraria as a reference, Chenopodiaceae, Artemisia and Ephedra are highly represented, while Tamaricaceae, Zygophyllaceae, Asteraceae (excluding Artemisia), Calligonum and Poaceae are poorly represented. 2) the pollen representation was constrained by their pollination strategies. For example, anemophilous plants (e.g., Ephedra, Artemisia and Chenopodiaceae) are mostly over-represented, while those of entomophilous taxa (e.g., Nitraria, Tamaricaceae, Zygophyllaceae and Calligonum) are underrepresented. The scheme and findings mentioned above cast a new light on the future of quantitative reconstruction of palaeo-vegetation succession in the ACA.
关键词	Arid central Asia Desert vegetation Surface pollen Palaeo-vegetation reconstruction R-value
学科领域	Geography, Physical ; Geosciences, Multidisciplinary ; Paleontology
DOI	10.1016/j.palaeo.2022.110993
收录类别	SCI
语种	英语
WOS关键词	RELEVANT SOURCE AREA ; LONG-DISTANCE TRANSPORT ; CLIMATE-CHANGE ; CULTURAL LANDSCAPE ; ALASHAN PLATEAU ; SURFACE POLLEN ; PRODUCTIVITY ; REPRESENTATION ; DESERT ; BASIN
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000802960300005
出版者	ELSEVIER
文献子类	Article
出版地	AMSTERDAM
EISSN	1872-616X
资助机构	National Natural Science Foundation of China [31970233, 42077416, 42077423, 32070240, 32000174] ; Strategic Priority Research Program of the Chinese Academy of Sciences [XDB26000000, XDA19070203] ; China National Key Basic Research Program [2014CB954201] ; National Key R & D Program of China [2017YFC0803803] ; CAS President?s International Fellowship Initiative [2016VBC063, 2018VBA0016, 2022VBA0010] ; Visiting Scholarship - China Scholarship Council [201904910084]
作者邮箱	yaoyf@ibcas.ac.cn ; wangyf@ibcas.ac.cn
引用统计
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/28966
专题	系统与进化植物学国家重点实验室
作者单位	1.Chinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, 20 Nanxincun, Beijing 100093, 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.Ferguson, David K.] Univ Vienna, Inst Palaeontol, Althanstr 14, A-1090 Vienna, Austria 4.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 5.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, 20 Nanxincun, Beijing 100093, Peoples R China
推荐引用方式 GB/T 7714	Wang, Qiang,Li, Jin-Feng,Lu, Kai-Qing,et al. Pollen R-values in arid central Asia for quantitative palaeo-vegetation reconstruction[J]. PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY,2022,596.
APA	Wang, Qiang.,Li, Jin-Feng.,Lu, Kai-Qing.,Xie, Gan.,Qin, Feng.,...&Wang, Yu-Fei.(2022).Pollen R-values in arid central Asia for quantitative palaeo-vegetation reconstruction.PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY,596.
MLA	Wang, Qiang,et al."Pollen R-values in arid central Asia for quantitative palaeo-vegetation reconstruction".PALAEOGEOGRAPHY PALAEOCLIMATOLOGY PALAEOECOLOGY 596(2022).

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