A taxonomically harmonized and temporally standardized fossil pollen dataset from Siberia covering the last 40 kyr

Author:

Cao Xianyong,Tian Fang,Andreev AndreiORCID,Anderson Patricia M.,Lozhkin Anatoly V.,Bezrukova Elena,Ni JianORCID,Rudaya Natalia,Stobbe Astrid,Wieczorek MareikeORCID,Herzschuh Ulrike

Abstract

Abstract. Pollen records from Siberia are mostly absent in global or Northern Hemisphere synthesis works. Here we present a taxonomically harmonized and temporally standardized pollen dataset that was synthesized using 173 palynological records from Siberia and adjacent areas (northeastern Asia, 42–75∘ N, 50–180∘ E). Pollen data were taxonomically harmonized, i.e. the original 437 taxa were assigned to 106 combined pollen taxa. Age–depth models for all records were revised by applying a constant Bayesian age–depth modelling routine. The pollen dataset is available as count data and percentage data in a table format (taxa vs. samples), with age information for each sample. The dataset has relatively few sites covering the last glacial period between 40 and 11.5 ka (calibrated thousands of years before 1950 CE) particularly from the central and western part of the study area. In the Holocene period, the dataset has many sites from most of the area, with the exception of the central part of Siberia. Of the 173 pollen records, 81 % of pollen counts were downloaded from open databases (GPD, EPD, PANGAEA) and 10 % were contributions by the original data gatherers, while a few were digitized from publications. Most of the pollen records originate from peatlands (48 %) and lake sediments (33 %). Most of the records (83 %) have ≥3 dates, allowing the establishment of reliable chronologies. The dataset can be used for various purposes, including pollen data mapping (example maps for Larix at selected time slices are shown) as well as quantitative climate and vegetation reconstructions. The datasets for pollen counts and pollen percentages are available at https://doi.org/10.1594/PANGAEA.898616 (Cao et al., 2019a), also including the site information, data source, original publication, dating data, and the plant functional type for each pollen taxa.

Publisher

Copernicus GmbH

Subject

General Earth and Planetary Sciences

Reference117 articles.

1. Anderson, P., Minyuk, P., Lozhkin, A., Cherepanova, M., Borkhodoev, V., and Finney, B.: A multiproxy record of Holocene environmental changes from the northern Kuril Islands (Russian Far East), J. Paleolimnol., 54, 379–393, https:/dor.org/10.1007/s10933-015-9858-y, 2015.

2. Anderson, P. M. and Lozhkin, A. V.: LateQuaternary Vegetation and Climate of Siberia and the Russian Far East (Palynological and Radiocarbon Database), North East Science Center, Far East Branch, Russian Academy of Sciences, Magadan, Russia, 2002.

3. Anderson, P. M. and Lozhkin, A. V.: Late Quaternary vegetation of Chukotka (Northeast Russia), implications for Glacial and Holocene environments of Beringia, Quaternary Sci. Rev., 107, 112–128, https://doi.org/10.1016/j.quascirev.2014.10.016, 2015.

4. Anderson, P. M., Lozhkin, A. V., Belaya, B. V., and Stetsenko, T. V.: New data about the stratigraphy of late Quaternary deposits of northern Priokhot'ye in: Environmental changes in Beringia during the Quaternary, edited by: Simakov, K. V., North East Interdisciplinary Research Institute, Far East Branch, Russian Academy of Sciences, Magadan, 69–87, 1998a (in Russian).

5. Anderson, P. M., Lozhkin, A. V. and Belaya, B. V.: Younger Dryas in western Beringia (northeastern Siberia), in: Environmental changes in Beringia during the Quaternary, North East Interdisciplinary Research Institute, edited by: Simakov, K. V., Far East Branch, Russian Academy of Sciences, Magadan, 28–44, 1998b (in Russian).

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3