气候变化领域集成服务门户(CCPortal): Biome reconstruction on the Tibetan Plateau since the Last Glacial Maximum using a machine learning method

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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 (通讯作者)
发表日期	2022
ISSN	1674-7313
EISSN	1869-1897
起始页码	518
结束页码	535
卷号	65 期号:3
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.
关键词	POLLEN DATA QUANTITATIVE RECONSTRUCTION HOLOCENE VEGETATION HIGH-RESOLUTION LAKE-SEDIMENTS CLIMATE-CHANGE MIDHOLOCENE CHINA ASIA REGION
英文关键词	Biome reconstruction; Random forest algorithm; Biomisation method; Pollen data; Last Glacial Maximum; Tibetan Plateau
语种	英语
WOS研究方向	Geology
WOS类目	Geosciences, Multidisciplinary
WOS记录号	WOS:000744796600002
来源期刊	SCIENCE CHINA-EARTH SCIENCES
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/260592
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]. 中国科学院青藏高原研究所,2022,65(3).
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).
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).