Lake surface sediment pollen dataset for the alpine meadow vegetation type from the eastern Tibetan Plateau and its potential in past climate reconstructions
<p>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 (<span class="inline...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2021-07-01
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| Series: | Earth System Science Data |
| Online Access: | https://essd.copernicus.org/articles/13/3525/2021/essd-13-3525-2021.pdf |
| _version_ | 1819145639695482880 |
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| author | X. Cao F. Tian K. Li J. Ni X. Yu L. Liu L. Liu N. Wang N. Wang |
| author_facet | X. Cao F. Tian K. Li J. Ni X. Yu L. Liu L. Liu N. Wang N. Wang |
| author_sort | X. Cao |
| collection | DOAJ |
| description | <p>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 (<span class="inline-formula"><i>n</i>=117</span>) 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 <i>Salix</i> indicate wet
climatic conditions, while Poaceae, <i>Artemisia</i>, 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; <a href="https://doi.org/10.11888/Paleoenv.tpdc.271191">https://doi.org/10.11888/Paleoenv.tpdc.271191</a>).</p> |
| first_indexed | 2024-12-22T13:01:14Z |
| format | Article |
| id | doaj.art-36ca34e7373b41e08e74125fc7b3150e |
| institution | Directory Open Access Journal |
| issn | 1866-3508 1866-3516 |
| language | English |
| last_indexed | 2024-12-22T13:01:14Z |
| publishDate | 2021-07-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Earth System Science Data |
| spelling | doaj.art-36ca34e7373b41e08e74125fc7b3150e2022-12-21T18:24:59ZengCopernicus PublicationsEarth System Science Data1866-35081866-35162021-07-01133525353710.5194/essd-13-3525-2021Lake surface sediment pollen dataset for the alpine meadow vegetation type from the eastern Tibetan Plateau and its potential in past climate reconstructionsX. Cao0F. Tian1K. Li2J. Ni3X. Yu4L. Liu5L. Liu6N. Wang7N. Wang8Alpine Paleoecology and Human Adaptation Group (ALPHA), State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, ChinaCollege of Resource Environment and Tourism, Capital Normal University, Beijing, 100048, ChinaCollege of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua, 321004, ChinaCollege of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua, 321004, ChinaAlpine Paleoecology and Human Adaptation Group (ALPHA), State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, ChinaAlpine Paleoecology and Human Adaptation Group (ALPHA), State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, ChinaUniversity of Chinese Academy of Science, Beijing, 100049, ChinaAlpine Paleoecology and Human Adaptation Group (ALPHA), State Key Laboratory of Tibetan Plateau Earth System, Resources and Environment (TPESRE), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100101, ChinaUniversity of Chinese Academy of Science, Beijing, 100049, China<p>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 (<span class="inline-formula"><i>n</i>=117</span>) 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 <i>Salix</i> indicate wet climatic conditions, while Poaceae, <i>Artemisia</i>, 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; <a href="https://doi.org/10.11888/Paleoenv.tpdc.271191">https://doi.org/10.11888/Paleoenv.tpdc.271191</a>).</p>https://essd.copernicus.org/articles/13/3525/2021/essd-13-3525-2021.pdf |
| spellingShingle | X. Cao F. Tian K. Li J. Ni X. Yu L. Liu L. Liu N. Wang N. Wang Lake surface sediment pollen dataset for the alpine meadow vegetation type from the eastern Tibetan Plateau and its potential in past climate reconstructions Earth System Science Data |
| title | Lake surface sediment pollen dataset for the alpine meadow vegetation type from the eastern Tibetan Plateau and its potential in past climate reconstructions |
| title_full | Lake surface sediment pollen dataset for the alpine meadow vegetation type from the eastern Tibetan Plateau and its potential in past climate reconstructions |
| title_fullStr | Lake surface sediment pollen dataset for the alpine meadow vegetation type from the eastern Tibetan Plateau and its potential in past climate reconstructions |
| title_full_unstemmed | Lake surface sediment pollen dataset for the alpine meadow vegetation type from the eastern Tibetan Plateau and its potential in past climate reconstructions |
| title_short | Lake surface sediment pollen dataset for the alpine meadow vegetation type from the eastern Tibetan Plateau and its potential in past climate reconstructions |
| title_sort | lake surface sediment pollen dataset for the alpine meadow vegetation type from the eastern tibetan plateau and its potential in past climate reconstructions |
| url | https://essd.copernicus.org/articles/13/3525/2021/essd-13-3525-2021.pdf |
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