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Pollen-based reconstruction of vegetational and climatic change over the past similar to 30 ka at Shudu Lake in the Hengduan Mountains of Yunnan, southwestern China | |
Yao, Yi-Feng; Song, Xiao-Yan; Wortley, Alexandra H.; Wang, Yu-Fei; Blackmore, Stephen5; Li, Cheng-Sen | |
2017 | |
发表期刊 | PLOS ONE |
ISSN | 1932-6203 |
卷号 | 12期号:2 |
摘要 | The Hengduan Mountains, with a distinct altitudinal differentiation and strong vertical vegetation zonation, occupy an important position in southwestern China as a global hotspot of biodiversity. Pollen analysis of lake sediments sampled along an altitudinal gradient in this region helps us to understand how this vegetation zonation arose and how it has responded to climate change and human impacts through time. Here we present a similar to 30-ka pollen record and interpret it in terms of vegetational and climatic change from a 310 cm-long core from Shudu Lake, located in the Hengduan Mountains region. Our results suggest that from 30 to 22 cal. ka BP, the vegetation was dominated by steppe/grassland (comprising mainly Artemisia, Poaceae and Polygonaceae) and broad-leaved forest (primarily Quercus, Betula and Castanopsis) in the lake catchment, reflecting a relatively warm, wet climate early in this phase and slightly warmer, drier conditions late in the phase. The period between 22 and 13.9 cal. ka BP was marked by a large expansion of needle-and broad-leaved mixed forest (Pinus, Abies and Quercus) and a decline in the extent of steppe/grassland, indicating warming, drying climatic conditions followed by a cold, wet period. Between 13.9 and 3 cal. ka BP, steppe/grassland expanded and the area covered by needle-and broad-leaved mixed forest reduced, implying a fluctuating climate dominated by warm and humid conditions. After 3 cal. ka BP, the vegetation was characterized by an increase in needle-leaved forest and reduction in steppe/grassland, suggesting warming and drying climate. A synthesis of palynological investigations from this and other sites suggests that the vegetation succession patterns seen along an altitudinal gradient in northwestern Yunnan since the Late Pleistocene are comparable, but that each site has its own characteristics probably due to the influences of altitude, topography, microclimate and human impact. |
学科领域 | Environmental Sciences & Ecology |
DOI | 10.1007/s11356-017-8649-6 |
收录类别 | SCI |
语种 | 英语 |
WOS关键词 | HOLOCENE VEGETATION ; ENVIRONMENTAL-CHANGE ; PROVINCE ; HISTORY ; PLEISTOCENE ; DYNAMICS ; RECORD ; ASIA ; KYR |
WOS记录号 | WOS:000399239800088 |
出版者 | PUBLIC LIBRARY SCIENCE |
文献子类 | Article |
出版地 | SAN FRANCISCO |
资助机构 | China National Key Basic Research ProgramNational Basic Research Program of China [2014CB954201] ; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41271222] ; China Scholarship CouncilChina Scholarship Council [201204910043] |
作者邮箱 | yaoyf@ibcas.ac.cn ; lics@ibcas.ac.cn |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ibcas.ac.cn/handle/2S10CLM1/22303 |
专题 | 系统与进化植物学国家重点实验室 |
作者单位 | 1.[Yao, Yi-Feng 2.Wang, Yu-Fei 3.Chinese Acad Sci, Inst Bot, State Key Lab Systemat & Evolutionary Bot, Beijing, Peoples R China 4.Shanxi Agr Univ, Taigu, Shanxi, Peoples R China 5.[Wortley, Alexandra H. 6.Royal Bot Garden Edinburgh, 20A Inverleith Row, Edinburgh, Midlothian, Scotland |
推荐引用方式 GB/T 7714 | Yao, Yi-Feng,Song, Xiao-Yan,Wortley, Alexandra H.,et al. Pollen-based reconstruction of vegetational and climatic change over the past similar to 30 ka at Shudu Lake in the Hengduan Mountains of Yunnan, southwestern China[J]. PLOS ONE,2017,12(2). |
APA | Yao, Yi-Feng,Song, Xiao-Yan,Wortley, Alexandra H.,Wang, Yu-Fei,Blackmore, Stephen,&Li, Cheng-Sen.(2017).Pollen-based reconstruction of vegetational and climatic change over the past similar to 30 ka at Shudu Lake in the Hengduan Mountains of Yunnan, southwestern China.PLOS ONE,12(2). |
MLA | Yao, Yi-Feng,et al."Pollen-based reconstruction of vegetational and climatic change over the past similar to 30 ka at Shudu Lake in the Hengduan Mountains of Yunnan, southwestern China".PLOS ONE 12.2(2017). |
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