Articles | Volume 13, issue 7
https://doi.org/10.5194/essd-13-3525-2021
© Author(s) 2021. 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-13-3525-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Lake surface sediment pollen dataset for the alpine meadow vegetation type from the eastern Tibetan Plateau and its potential in past climate reconstructions
Alpine 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, China
Fang Tian
College of Resource Environment and Tourism, Capital Normal
University, Beijing, 100048, China
Kai Li
College of Chemistry and Life Sciences, Zhejiang Normal University,
Jinhua, 321004, China
College of Chemistry and Life Sciences, Zhejiang Normal University,
Jinhua, 321004, China
Xiaoshan Yu
Alpine 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, China
Lina Liu
Alpine 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, China
University of Chinese Academy of Science, Beijing, 100049, China
Nannan Wang
Alpine 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, China
University of Chinese Academy of Science, Beijing, 100049, China
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Data–data and data–model vegetation comparisons are commonly based on comparing single vegetation estimates. While this approach generates good results on average, reducing pollen assemblages to single single plant functional type (PFT) or biome estimates can oversimplify the vegetation signal. We propose using a multivariate metric, the Earth mover's distance (EMD), to include more details about the vegetation structure when performing such comparisons.
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We reconstructed the vegetation and climate change since the last 14.2 ka BP from a fossil pollen record together with multiple proxies (grain size, contents of total organic carbon and total nitrogen) on the northeast Tibetan Plateau. The results reveal that an arid climate occurs in the early Holocene and the vegetation could be disturbed by human activities to some extent after ca. 0.24 ka BP (1710 CE).
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Pollen preserved in environmental archives such as lake sediments and bogs are extensively used for reconstructions of past vegetation and climate. Here we present LegacyPollen 1.0, a dataset of 2831 fossil pollen records from all over the globe that were collected from publicly available databases. We harmonized the names of the pollen taxa so that all datasets can be jointly investigated. LegacyPollen 1.0 is available as an open-access dataset.
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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.
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Revised manuscript under review for ESSD
Short summary
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We present a modern pollen dataset of 555 pollen count records from 307 sites on the Tibetan Plateau (28–40° N and 75–103° E). Our open-access dataset holds various potential applications in paleoecological and paleoclimatic researches. It offers a scientific foundation for reconstructing changes in climate and vegetation over time and enables the assessment of the reliability of pollen assemblages in representing the dynamics of vegetation cover, functional traits, and plant diversity.
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Ulrike Herzschuh, Thomas Böhmer, Manuel Chevalier, Raphaël Hébert, Anne Dallmeyer, Chenzhi Li, Xianyong Cao, Odile Peyron, Larisa Nazarova, Elena Y. Novenko, Jungjae Park, Natalia A. Rudaya, Frank Schlütz, Lyudmila S. Shumilovskikh, Pavel E. Tarasov, Yongbo Wang, Ruilin Wen, Qinghai Xu, and Zhuo Zheng
Clim. Past, 19, 1481–1506, https://doi.org/10.5194/cp-19-1481-2023, https://doi.org/10.5194/cp-19-1481-2023, 2023
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A mismatch between model- and proxy-based Holocene climate change may partially originate from the poor spatial coverage of climate reconstructions. Here we investigate quantitative reconstructions of mean annual temperature and annual precipitation from 1908 pollen records in the Northern Hemisphere. Trends show strong latitudinal patterns and differ between (sub-)continents. Our work contributes to a better understanding of the global mean.
Ulrike Herzschuh, Thomas Böhmer, Chenzhi Li, Manuel Chevalier, Raphaël Hébert, Anne Dallmeyer, Xianyong Cao, Nancy H. Bigelow, Larisa Nazarova, Elena Y. Novenko, Jungjae Park, Odile Peyron, Natalia A. Rudaya, Frank Schlütz, Lyudmila S. Shumilovskikh, Pavel E. Tarasov, Yongbo Wang, Ruilin Wen, Qinghai Xu, and Zhuo Zheng
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Short summary
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Manuel Chevalier, Anne Dallmeyer, Nils Weitzel, Chenzhi Li, Jean-Philippe Baudouin, Ulrike Herzschuh, Xianyong Cao, and Andreas Hense
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Short summary
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Data–data and data–model vegetation comparisons are commonly based on comparing single vegetation estimates. While this approach generates good results on average, reducing pollen assemblages to single single plant functional type (PFT) or biome estimates can oversimplify the vegetation signal. We propose using a multivariate metric, the Earth mover's distance (EMD), to include more details about the vegetation structure when performing such comparisons.
Furong Li, Marie-José Gaillard, Xianyong Cao, Ulrike Herzschuh, Shinya Sugita, Jian Ni, Yan Zhao, Chengbang An, Xiaozhong Huang, Yu Li, Hongyan Liu, Aizhi Sun, and Yifeng Yao
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Yili Jin, Haoyan Wang, Jie Xia, Jian Ni, Kai Li, Ying Hou, Jing Hu, Linfeng Wei, Kai Wu, Haojun Xia, and Borui Zhou
Earth Syst. Sci. Data, 15, 25–39, https://doi.org/10.5194/essd-15-25-2023, https://doi.org/10.5194/essd-15-25-2023, 2023
Short summary
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The TiP-Leaf dataset was compiled from direct field measurements and included 11 leaf traits from 468 species of 1692 individuals, covering a great proportion of species and vegetation types on the highest plateau in the world. This work is the first plant trait dataset that represents all of the alpine vegetation on the TP, which is not only an update of the Chinese plant trait database, but also a great contribution to the global trait database.
Nannan Wang, Lina Liu, Xiaohuan Hou, Yanrong Zhang, Haicheng Wei, and Xianyong Cao
Clim. Past, 18, 2381–2399, https://doi.org/10.5194/cp-18-2381-2022, https://doi.org/10.5194/cp-18-2381-2022, 2022
Short summary
Short summary
We reconstructed the vegetation and climate change since the last 14.2 ka BP from a fossil pollen record together with multiple proxies (grain size, contents of total organic carbon and total nitrogen) on the northeast Tibetan Plateau. The results reveal that an arid climate occurs in the early Holocene and the vegetation could be disturbed by human activities to some extent after ca. 0.24 ka BP (1710 CE).
Ulrike Herzschuh, Chenzhi Li, Thomas Böhmer, Alexander K. Postl, Birgit Heim, Andrei A. Andreev, Xianyong Cao, Mareike Wieczorek, and Jian Ni
Earth Syst. Sci. Data, 14, 3213–3227, https://doi.org/10.5194/essd-14-3213-2022, https://doi.org/10.5194/essd-14-3213-2022, 2022
Short summary
Short summary
Pollen preserved in environmental archives such as lake sediments and bogs are extensively used for reconstructions of past vegetation and climate. Here we present LegacyPollen 1.0, a dataset of 2831 fossil pollen records from all over the globe that were collected from publicly available databases. We harmonized the names of the pollen taxa so that all datasets can be jointly investigated. LegacyPollen 1.0 is available as an open-access dataset.
Chenzhi Li, Alexander K. Postl, Thomas Böhmer, Xianyong Cao, Andrew M. Dolman, and Ulrike Herzschuh
Earth Syst. Sci. Data, 14, 1331–1343, https://doi.org/10.5194/essd-14-1331-2022, https://doi.org/10.5194/essd-14-1331-2022, 2022
Short summary
Short summary
Here we present a global chronology framework of 2831 palynological records, including globally harmonized chronologies covering up to 273 000 years. A comparison with the original chronologies reveals a major improvement according to our assessment. Our chronology framework and revised chronologies will interest a broad geoscientific community, as it provides the opportunity to make use in synthesis studies of, for example, pollen-based vegetation and climate change.
Mengna Liao, Kai Li, Weiwei Sun, and Jian Ni
Clim. Past, 17, 2291–2303, https://doi.org/10.5194/cp-17-2291-2021, https://doi.org/10.5194/cp-17-2291-2021, 2021
Short summary
Short summary
The long-term trajectories of precipitation, hydrological balance and soil moisture are not completely consistent in southwest China. Hydrological balance was more sensitive to temperature change on a millennial scale. For soil moisture, plant processes also played a big role in addition to precipitation and temperature. Under future climate warming, surface water shortage in southwest China can be even more serious and efforts at reforestation may bring some relief to the soil moisture deficit.
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Short summary
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.
The Tibetan Plateau is quite remote, and it is difficult to collect samples on it; the previous...
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