In:
Earth System Science Data, Copernicus GmbH, Vol. 12, No. 1 ( 2020-01-22), p. 119-135
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.
Type of Medium:
Online Resource
ISSN:
1866-3516
DOI:
10.5194/essd-12-119-2020
Language:
English
Publisher:
Copernicus GmbH
Publication Date:
2020
detail.hit.zdb_id:
2475469-9
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