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Modern pollen assemblages from lake sediments and soil in East Siberia and relative pollen productivity estimates for Major Taxa

  • Modern pollen-vegetation-climate relationships underpin palaeovegetation and palaeoclimate reconstructions from fossil pollen records. East Siberia is an ideal area for investigating the relationships between modern pollen assemblages and near natural vegetation under cold continental climate conditions. Reliable pollen-based quantitative vegetation and climate reconstructions are still scarce due to the limited number of modern pollen datasets. Furthermore, differences in pollen representation of samples from lake sediments and soils are not well understood. Here, we present a new pollen dataset of 48 moss/soil and 24 lake surface-sediment samples collected in Chukotka and central Yakutia in East Siberia. The pollen-vegetation-climate relationships were investigated by ordination analyses. Generally, tundra and taiga vegetation types can be well distinguished in the surface pollen assemblages. Moss/soil and lake samples contain generally similar pollen assemblages as revealed by a Procrustes comparison with some exceptions. Overall,Modern pollen-vegetation-climate relationships underpin palaeovegetation and palaeoclimate reconstructions from fossil pollen records. East Siberia is an ideal area for investigating the relationships between modern pollen assemblages and near natural vegetation under cold continental climate conditions. Reliable pollen-based quantitative vegetation and climate reconstructions are still scarce due to the limited number of modern pollen datasets. Furthermore, differences in pollen representation of samples from lake sediments and soils are not well understood. Here, we present a new pollen dataset of 48 moss/soil and 24 lake surface-sediment samples collected in Chukotka and central Yakutia in East Siberia. The pollen-vegetation-climate relationships were investigated by ordination analyses. Generally, tundra and taiga vegetation types can be well distinguished in the surface pollen assemblages. Moss/soil and lake samples contain generally similar pollen assemblages as revealed by a Procrustes comparison with some exceptions. Overall, modern pollen assemblages reflect the temperature and precipitation gradients in the study areas as revealed by constrained ordination analysis. We estimate the relative pollen productivity (RPP) of major taxa and the relevant source area of pollen (RSAP) for moss/soil samples from Chukotka and central Yakutia using Extended R-Value (ERV) analysis. The RSAP of the tundra-forest transition area in Chukotka and taiga area in central Yakutia are ca. 1300 and 360 m, respectively. For Chukotka, RPPs relative to both Poaceae and Ericaceae were estimated while RPPs for central Yakutia were relative only to Ericaceae. Relative to Ericaceae (reference taxon, RPP = 1), Larix, Betula, Picea, and Pinus are overrepresented while Alnus, Cyperaceae, Poaceae, and Salix are underrepresented in the pollen spectra. Our estimates are in general agreement with previously published values and provide the basis for reliable quantitative reconstructions of East Siberian vegetation.show moreshow less

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Author details:Rongwei GengORCiD, Andrei AndreevORCiD, Stefan KruseORCiDGND, Birgit HeimORCiDGND, Femke van GeffenORCiD, Luidmila Pestryakova, Evgenii ZakharovORCiD, Elena I. TroevaORCiD, Iuliia ShevtsovaORCiDGND, Furong Li, Yan Zhao, Ulrike HerzschuhORCiDGND
DOI:https://doi.org/10.3389/fevo.2022.837857
ISSN:2296-701X
Title of parent work (English):Frontiers in Ecology and Evolution
Publisher:Frontiers Media
Place of publishing:Lausanne
Publication type:Article
Language:English
Date of first publication:2022/06/16
Publication year:2022
Release date:2024/06/14
Tag:East Siberia; modern pollen assemblages; pollen-vegetation-climate relationships; quantitative vegetation reconstruction; relative pollen productivity; taiga; tundra
Volume:10
Article number:837857
Number of pages:17
Funding institution:China Scholarship Council [201904910635\]; ERC consolidator grant; Glacial Legacy of Ulrike Herzschuh [772852]; Strategic Priority Research; Program of the Chinese Academy of Sciences [XDA20070101]; Glacial Legacy; grant from European Research Council Consolidator; Ministry of Education; and Science of the Russian Federation [FSRG2020-0019]
Organizational units:Mathematisch-Naturwissenschaftliche Fakultät / Institut für Geowissenschaften
DDC classification:5 Naturwissenschaften und Mathematik / 55 Geowissenschaften, Geologie / 550 Geowissenschaften
Peer review:Referiert
Publishing method:Open Access / Gold Open-Access
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License (German):License LogoCC-BY - Namensnennung 4.0 International
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