Lake surface sediment pollen dataset for the alpine meadow vegetation type from the eastern Tibetan Plateau and its potential in past climate reconstructions
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Published:2021-07-21
Issue:7
Volume:13
Page:3525-3537
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ISSN:1866-3516
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Container-title:Earth System Science Data
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language:en
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Short-container-title:Earth Syst. Sci. Data
Author:
Cao Xianyong, Tian Fang, Li Kai, Ni JianORCID, Yu Xiaoshan, Liu Lina, Wang Nannan
Abstract
Abstract. A modern pollen dataset with an even distribution of sites is essential for
pollen-based past vegetation and climate estimations. As there were
geographical gaps in previous datasets covering the central and eastern
Tibetan Plateau, lake surface sediment samples (n=117) were collected from
the alpine meadow region on the Tibetan Plateau between elevations of 3720
and 5170 m a.s.l. Pollen identification and counting were based on standard
approaches, and modern climate data were interpolated from a robust modern
meteorological dataset. A series of numerical analyses revealed that
precipitation is the main climatic determinant of pollen spatial
distribution: Cyperaceae, Ranunculaceae, Rosaceae, and Salix indicate wet
climatic conditions, while Poaceae, Artemisia, and Chenopodiaceae represent drought.
Model performance of both weighted-averaging partial least squares (WA-PLS)
and the random forest (RF) algorithm suggest that this modern pollen dataset
has good predictive power in estimating the past precipitation from pollen
spectra from the eastern Tibetan Plateau. In addition, a comprehensive
modern pollen dataset can be established by combining our modern pollen
dataset with previous datasets, which will be essential for the
reconstruction of vegetation and climatic signals for fossil pollen spectra
on the Tibetan Plateau. Pollen datasets including both pollen counts and
percentages for each sample, together with their site location and climatic
data, are available at the National Tibetan Plateau Data Center (TPDC; Cao et
al., 2021; https://doi.org/10.11888/Paleoenv.tpdc.271191).
Funder
National Natural Science Foundation of China
Publisher
Copernicus GmbH
Subject
General Earth and Planetary Sciences
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