Large-scale vegetation history in China and its response to climate change since the Last Glacial Maximum
文献类型：期刊论文
| 作者 | Li, Qin2; Wu, Haibin4,5; Yu, Yanyan; Sun, Aizhi5; Luo, Yunli1 |
| 刊名 | QUATERNARY INTERNATIONAL
 |
| 出版日期 | 2019 |
| 卷号 | 500页码:108-119 |
| 关键词 | Pollen dataset Biomization Vegetation patterns Last Glacial Maximum Holocene China |
| ISSN号 | 1040-6182 |
| DOI | 10.1016/j.quaint.2018.11.016 |
| 文献子类 | Article |
| 英文摘要 | Large-scale palaeovegetation reconstruction plays a critical role in improving our understanding of the response of vegetation to climate change and in reducing the uncertainty in predictions of vegetation change under global warming scenarios. Here, we present quantitative vegetation reconstructions for China since the Last Glacial Maximum (LGM), using 286 selected fossil pollen records analyzed using the biomization method. The results show that from 23 to 19 ka (1 ka = 1000 cal yr BP), steppe and desert expanded southeastwards, dominating northern China, whereas forest in eastern China shrank southwards to near the middle and lower reaches of the Yangtze River; the percentage of forested sites at this time was the lowest during the studied interval. Forest then developed gradually during 18-12 ka. During the early and middle Holocene, tropical seasonal forest, broad-leaved evergreen/warm mixed forest, and temperate deciduous forest shifted northwards by 2 degrees, 4 degrees and 5 degrees in latitude, respectively, relative to today, and then declined in the late Holocene. In detail, forest flourished in the middle Holocene (9-4 ka) in semi-arid and semi-humid northern China, whereas it reached a maximum in the early and middle Holocene (11.5-6 ka) in humid southern China. Our results suggest that although forest throughout China exhibited the expected response to the evolution of the East Asian summer monsoon, precipitation exerted a more significant effect on vegetation change in northern China, whereas temperature and precipitation played a more important role in southern China. Our results are a potentially useful reference for assessing future vegetation dynamics under global warming scenarios. |
| 学科主题 | Geography, Physical ; Geosciences, Multidisciplinary |
| 出版地 | OXFORD |
| 电子版国际标准刊号 | 1873-4553 |
| WOS关键词 | ASIAN SUMMER MONSOON ; PAST ENVIRONMENTAL-CONDITIONS ; POLLEN DATA ; HIGH-RESOLUTION ; HOLOCENE VEGETATION ; LOESS PLATEAU ; EAST-ASIA ; QUANTITATIVE INDICATORS ; INTERGLACIAL VARIATIONS ; BIOME RECONSTRUCTIONS |
| WOS研究方向 | Physical Geography ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:000473103400012 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 资助机构 | Strategic Priority Research Program of the Chinese Academy of SciencesChinese Academy of Sciences [XDB26020503] ; National Key Research and Development Program of China [2016YFA0600504] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41502177, 41572165, 41430531] ; Bairen Programs of the Chinese Academy of Sciences |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/19445]  |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 2.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Cenozo Geol & Environm, Beijing 100029, Peoples R China 3.Chinese Acad Sci, Inst Bot, Beijing 100093, Peoples R China 4.CAS Ctr Excellence Tibetan Plateau Earth Sci, Beijing 100101, Peoples R China 5.CAS Ctr Excellence Life & Paleoenvironm, Beijing 100044, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Qin,Wu, Haibin,Yu, Yanyan,et al. Large-scale vegetation history in China and its response to climate change since the Last Glacial Maximum[J]. QUATERNARY INTERNATIONAL,2019,500:108-119. |
| APA | Li, Qin,Wu, Haibin,Yu, Yanyan,Sun, Aizhi,&Luo, Yunli.(2019).Large-scale vegetation history in China and its response to climate change since the Last Glacial Maximum.QUATERNARY INTERNATIONAL,500,108-119. |
| MLA | Li, Qin,et al."Large-scale vegetation history in China and its response to climate change since the Last Glacial Maximum".QUATERNARY INTERNATIONAL 500(2019):108-119. |
入库方式： OAI收割
来源：植物研究所
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