Modern pollen distributions in Qinghai-Tibetan Plateau and the development of transfer functions for reconstructing Holocene environmental changes |
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| Authors: | Houyuan Lu Naiqin Wu Kam-biu Liu Liping Zhu Xiangdong Yang Tandong Yao Luo Wang Quan Li Xingqi Liu Caiming Shen Xiaoqiang Li Guobang Tong Hui Jiang |
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| Institution: | 1. Alfred Wegener Institute Helmholtz Center for Polar and Marine Research, Research Unit Potsdam, Telegrafenberg A43, 14473 Potsdam, Germany;2. Plant Ecology and Natural Conservation, Institute of Biochemistry and Biology, University of Potsdam, Maulbeerallee 2, 14469 Potsdam, Germany;3. State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guanshui Road 46, 550002 Guiyang, China;4. Institute of Earth and Environmental Sciences, University of Potsdam, Karl-Liebknecht-Str. 24, 14476 Potsdam, Germany;5. ZALF, Leibniz-Centre for Agricultural Landscape Research, Eberswalder Str. 84, 15374 Müncheberg, Germany;6. Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), 14195 Berlin, Germany;1. Graduate School of Science and Engineering, Tokai University, 3-20-1 Orido, Shimizu, Shizuoka 424-0902, Japan;2. Department of Applied Science, Okayama University of Science, 1-1 Ridai-cho, Okayama 700-0005, Japan;3. Graduate School of Science, Tohoku University, 6-3 Aramaki Aza Aoba, Aoba-ku, Sendai 980-8578, Japan;4. Center for Chronological Research, Nagoya University, Furo-cho, Chikusa, Nagoya 464-8601, Japan;5. Institute of Tibetan Plateau Research, Chinese Academy of Sciences, No. 18 Shuangqing Road, Haidian District, Beijing 100085, China;6. National Institute for Environmental Studies, 16-2 Onogawa, Tsukuba 305-8506, Japan;1. Alfred Wegener Institute Helmholtz Center for Polar and Marine Research, Research Unit Potsdam, Telegrafenberg A43, 14473 Potsdam, Germany;2. Institute of Earth and Environmental Sciences, University of Potsdam, Karl-Liebknecht-Str. 24, 14476 Potsdam, Germany;3. College of Resource and Environmental Sciences, Hebei Normal University, Nanerhuan East Road 20, 050024 Shijiazhuang, China;4. Department of Plant Ecology and Natural Conservation, Institute of Biochemistry and Biology, University of Potsdam, Maulbeerallee 2, 14469 Potsdam, Germany;5. State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guanshui Road 46, 550002 Guiyang, China;6. State Key Laboratory of Lake and Environmental Sciences, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Beijing East Road 73, 210008 Nanjing, China;7. Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Datun Road 11, 100101 Beijing, China |
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| Abstract: | This study investigates the distribution of modern pollen assemblages in the Qinghai-Tibetan Plateau, China, based on surface soil samples collected at 1202 sites along an altitudinal gradient of 10–5500 m asl, where mean annual precipitation (MAP) ranges from 12 to 1840 mm and mean annual temperature (MAT) from ?7 to 21.5 °C. A total of 153 pollen taxa were found with relative abundances greater than 1% in at least two samples. Canonical correspondence analysis (CCA) was used to determine the main environmental variables influencing pollen distributions. The results reveal that MAP is the most significant dominant variable. However, MAT, altitude (ALT), July temperature (MT7), and relative humidity (HHH) are also significant variables that clearly follow the gradients in the CCA ordination, suggesting that pollen assemblages probably not only reflect a single climatic parameter, but also a variety of other climatic inter-related parameters.Transfer functions, based on locally weighted weighted averaging (LWWA), were developed for MAP (R2-boot = 0.89, RMSEP = 109 mm), MAT (R2-boot = 0.78, RMSEP = 2.3 °C), ALT (R2-boot = 0.73, RMSEP = 597 m), HHH (R2-boot = 0.82, RMSEP = 4.5%), and July mean precipitation (MP7) (R2-boot = 0.87, RMSEP = 23 mm). Overall, our results confirm that pollen can provide reliable estimates of the primary climatic parameters. The application of the LWWA model to the fossil records of Chen Co Lake allowed quantitative inferences to be made about Holocene climatic changes in the southern Tibetan Plateau, suggesting that LWWA is a robust calibration method for quantitative palaeo-environmental reconstruction based on pollen data in the regions. |
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