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Biome reconstruction on the Tibetan Plateau since the Last Glacial Maximum using a machine learning method

文献类型：期刊论文

作者Qin, Feng1; Zhao, Yan1,3; Cao, Xianyong2
刊名SCIENCE CHINA-EARTH SCIENCES
出版日期2022-03-01
卷号65期号:3页码:518-535
关键词Biome reconstruction Random forest algorithm Biomisation method Pollen data Last Glacial Maximum Tibetan Plateau
ISSN号1674-7313
DOI10.1007/s11430-021-9867-1
通讯作者Qin, Feng(qinfeng@igsnrr.ac.cn)
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.
WOS关键词POLLEN DATA ; QUANTITATIVE RECONSTRUCTION ; HOLOCENE VEGETATION ; HIGH-RESOLUTION ; LAKE-SEDIMENTS ; CLIMATE-CHANGE ; MIDHOLOCENE ; CHINA ; ASIA ; REGION
资助项目National Natural Science Foundation of China[42071114] ; National Natural Science Foundation of China[41977395] ; National Natural Science Foundation of China[41671202] ; National Natural Science Foundation of China[41690113] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA20070101]
WOS研究方向Geology
语种英语
WOS记录号WOS:000744796600002
出版者SCIENCE PRESS
资助机构National Natural Science Foundation of China ; Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.igsnrr.ac.cn/handle/311030/170104]  
专题中国科学院地理科学与资源研究所
通讯作者Qin, Feng
作者单位1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
2.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
3.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]. SCIENCE CHINA-EARTH SCIENCES,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.

入库方式： OAI收割

来源：地理科学与资源研究所

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