干旱区生态环境知识资源中心(Arid): Biome reconstruction on the Tibetan Plateau since the Last Glacial Maximum using a machine learning method

Arid

DOI	10.1007/s11430-021-9867-1
	Biome reconstruction on the Tibetan Plateau since the Last Glacial Maximum using a machine learning method
	Qin, Feng; Zhao, Yan; Cao, Xianyong
通讯作者	Qin, F (corresponding author)，Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China.
来源期刊	SCIENCE CHINA-EARTH SCIENCES
ISSN	1674-7313
EISSN	1869-1897
出版年	2022
卷号	65 期号:3 页码:518-535
英文摘要	Historical biome changes on the Tibetan Plateau provide important information that improves our understanding of the alpine vegetation responses to climate changes. However, a comprehensively quantitative reconstruction of the historical Tibetan Plateau biomes is not possible due to the lack of quantitative methods that enable appropriate classification of alpine biomes based on proxy data such as fossil pollen records. In this study, a pollen-based biome classification model was developed by applying a random forest algorithm (a supervised machine learning method) based on modern pollen assemblages on and around the Tibetan Plateau, and its robustness was assessed by comparing its results with the predictions of the biomisation method. The results indicated that modern biome distributions reconstructed using the random forest model based on modern pollen data generally concurred with the observed zonal vegetation. The random forest model had a significantly higher accuracy than the biomisation method, indicating the former is a more suitable tool for reconstructing alpine biome changes on the Tibetan Plateau. The random forest model was then applied to reconstruct the Tibetan Plateau biome changes from 22 ka BP to the present based on 51 fossil pollen records. The reconstructed biome distribution changes on the Tibetan Plateau generally corresponded to global climate changes and Asian monsoon variations. In the Last Glacial Maximum, the Tibetan Plateau was mainly desert with subtropical forests distributed in the southeast. During the last deglaciation, the alpine steppe began expanding and gradually became zonal vegetation in the central and eastern regions. Alpine meadow occupied the eastern and southeastern areas of the Tibetan Plateau since the early Holocene, and the forest-meadow-steppe-desert pattern running southeast to northwest on the Tibetan Plateau was established afterwards. In the mid-Holocene, subtropical forests extended north, which reflected the optimum condition. During the late Holocene, alpine meadows and alpine steppes expanded south.
英文关键词	Biome reconstruction Random forest algorithm Biomisation method Pollen data Last Glacial Maximum Tibetan Plateau
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000744796600002
WOS关键词	POLLEN DATA ; QUANTITATIVE RECONSTRUCTION ; HOLOCENE VEGETATION ; HIGH-RESOLUTION ; LAKE-SEDIMENTS ; CLIMATE-CHANGE ; MIDHOLOCENE ; CHINA ; ASIA ; REGION
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/2XILL650/376621
作者单位	[Qin, Feng; Zhao, Yan] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China; [Cao, Xianyong] Chinese Acad Sci, Inst Tibetan Plateau Res, State Key Lab Tibetan Plateau Earth Syst Sci LATP, Alpine Paleoecol & Human Adaptat Alpha Grp, Beijing 100101, Peoples R China; [Zhao, Yan] Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Qin, Feng,Zhao, Yan,Cao, Xianyong. Biome reconstruction on the Tibetan Plateau since the Last Glacial Maximum using a machine learning method[J],2022,65(3):518-535.
APA	Qin, Feng,Zhao, Yan,&Cao, Xianyong.(2022).Biome reconstruction on the Tibetan Plateau since the Last Glacial Maximum using a machine learning method.SCIENCE CHINA-EARTH SCIENCES,65(3),518-535.
MLA	Qin, Feng,et al."Biome reconstruction on the Tibetan Plateau since the Last Glacial Maximum using a machine learning method".SCIENCE CHINA-EARTH SCIENCES 65.3(2022):518-535.