Reevaluation of pollen differentiation in Altingiaceae: Challenges in distinguishing deciduous (<i>Liquidambar</i>) and evergreen (<i>Altingia</i>) types using multivariate statistics and machine learning

doi:10.1016/j.revpalbo.2024.105209

NIGPAS OpenIR

	*Reevaluation of pollen differentiation in Altingiaceae: Challenges in distinguishing deciduous (Liquidambar) and evergreen (Altingia) types using multivariate statistics and machine learning*
通讯作者	Mao, Limi([email protected]) ; Lai, Yangjun([email protected])
	Zhang, Shunjie 1,3; Mao, Limi1,2,3 ; Lai, Yangjun 4,5
	2024-12-01
发表期刊	REVIEW OF PALAEOBOTANY AND PALYNOLOGY
ISSN	0034-6667
卷号	331 页码:12
摘要	Altingiaceae, a family of woody plants, comprising evergreen Altingia and deciduous Liquidambar groups, exhibits distinct leaf morphology, yet both groups overlap in geographical range and climatic conditions. While some tropical Altingia species are confined to Myanmar, Thailand, Cambodia and India without Liquidambar, and some temperate Liquidambar species to northern China without Altingia. Their fossil pollen have significant implications in reconstructing palaeoclimate and historical biogeography, based on classification of Altingia-type and Liquidambar-type. However, the results of previous studies to differentiate pollen types of evergreen Altingia and deciduous Liquidambar were based on limited pollen specimens. Therefore pollen morphology of Altingiaceae and differentiation of above mentioned types needs reevaluation using more specimens from wider geographical range. In this study, we present new findings on Altingiaceae pollen morphology from extensive collection of specimens and reassess the diagnostic features to distinguish evergreen and deciduous types. To improve the credibility of palaeoecological and palaeoclimatic interpretations, we applied multivariate statistical analyses to pollen size, number of pores, pollen wall thickness, and size and density of ornamental elements from light microscopy (LM) and Scanning Electronic Microscope (SEM) images. Additionally, random forest classification models were applied to test the accuracy of differentiating Altingiaceae pollen types. Our results reveal significant morphological overlap between the pollen of evergreen Altingia and deciduous Liquidambar, with classification models showing limited accuracy and explainability. Thus, fossil pollen of Altingiaceae cannot be confidently classified into evergreen or deciduous types, highlighting challenges in using their pollen morphology for taxonomic classification in palaeoecological research.
关键词	Altingiaceae Pollen morphology Liquidambar Altingia Multivariate statistics Machine learning
DOI	10.1016/j.revpalbo.2024.105209
收录类别	SCI
语种	英语
关键词[WOS]	MIDDLE MIOCENE ; FOSSIL POLLEN ; MORPHOLOGY ; HAMAMELIDACEAE ; BIOGEOGRAPHY
资助项目	Key Laboratory of Palaeobiology and Petroleum Stratigraphy[20211103] ; National Natural Science Foundation of China[41877437] ; National Natural Science Foundation of China[42472039]
WOS研究方向	Plant Sciences ; Paleontology
WOS类目	Plant Sciences ; Paleontology
WOS记录号	WOS:001328088500001
项目资助者	Key Laboratory of Palaeobiology and Petroleum Stratigraphy ; National Natural Science Foundation of China
出版者	ELSEVIER
文献类型	期刊论文
条目标识符	http://ir.nigpas.ac.cn/handle/332004/44399
专题	中国科学院南京地质古生物研究所
通讯作者	Mao, Limi; Lai, Yangjun
作者单位	1.Chinese Acad Sci, Nanjing Inst Geol & Palaeontol, Key Lab Palaeobiol & Petr Stratig, Nanjing 210008, Peoples R China 2.Chinese Acad Sci, Nanjing Inst Geol & Palaeontol, Dept Cenozo Biol Evolut & Environm, Nanjing 210008, Peoples R China 3.Univ Chinese Acad Sci, Nanjing 211135, Peoples R China 4.Chinese Acad Sci, Inst Bot, State Key Lab Plant Divers & Specialty Crops, Beijing 100093, Peoples R China 5.China Natl Bot Garden, Beijing 100093, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Shunjie,Mao, Limi,Lai, Yangjun. Reevaluation of pollen differentiation in Altingiaceae: Challenges in distinguishing deciduous (Liquidambar) and evergreen (Altingia) types using multivariate statistics and machine learning[J]. REVIEW OF PALAEOBOTANY AND PALYNOLOGY,2024,331:12.
APA	Zhang, Shunjie,Mao, Limi,&Lai, Yangjun.(2024).Reevaluation of pollen differentiation in Altingiaceae: Challenges in distinguishing deciduous (Liquidambar) and evergreen (Altingia) types using multivariate statistics and machine learning.REVIEW OF PALAEOBOTANY AND PALYNOLOGY,331,12.
MLA	Zhang, Shunjie,et al."Reevaluation of pollen differentiation in Altingiaceae: Challenges in distinguishing deciduous (Liquidambar) and evergreen (Altingia) types using multivariate statistics and machine learning".REVIEW OF PALAEOBOTANY AND PALYNOLOGY 331(2024):12.