Articles | Volume 17, issue 10
https://doi.org/10.5194/essd-17-5529-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-17-5529-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
A lacustrine surface-sediment pollen dataset covering the Tibetan Plateau and its potential in past vegetation and climate reconstructions
Fang Tian
CORRESPONDING AUTHOR
College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
Weiyu Cao
College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
Xiaohan Liu
College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
Zixin Liu
College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China
Xianyong Cao
Group of Alpine Paleoecology and Human Adaptation (ALPHA), State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, China
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The Tibetan Plateau is quite remote, and it is difficult to collect samples on it; the previous modern pollen data are located on a nearby road, and there is a large geographic gap in the eastern and central Tibetan Plateau. Our novel pollen data can fill the gap and will be valuable in establishing a complete dataset covering the entire Tibetan Plateau, thus helping us to get a comprehensive understanding. In addition, the dataset can also be used to investigate plant species distribution.
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Short summary
We completed a modern pollen dataset obtained from 90 lakes from the Tibetan Plateau (TP), and integrated it with previous modern lacustrine pollen datasets. The comprehensive modern pollen dataset covers the full range of climatic gradients across the TP and all vegetation types. The modern pollen dataset has good predictive power in estimating net primary production and annual precipitation.
We completed a modern pollen dataset obtained from 90 lakes from the Tibetan Plateau (TP), and...
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