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Analysis of pollen across the surface sediments of Lake Imbradas, Lithuania

Published online by Cambridge University Press:  30 September 2021

Lauras Balakauskas*
Affiliation:
Institute of Geosciences, Faculty of Chemistry and Geosciences, Vilnius University, M.K. Čiurlionio g. 21/27, LT-03101 Vilnius, Lithuania
Justina Gaižutytė
Affiliation:
Institute of Geosciences, Faculty of Chemistry and Geosciences, Vilnius University, M.K. Čiurlionio g. 21/27, LT-03101 Vilnius, Lithuania
Vaidotas Valskys
Affiliation:
Institute of Biosciences, Life Sciences Center, Vilnius University, Saulėtekio al. 7, LT-10257 Vilnius, Lithuania Nature Research Centre, Akademijos g. 2, LT-08412 Vilnius, Lithuania
Giedrė Vaikutienė
Affiliation:
Institute of Geosciences, Faculty of Chemistry and Geosciences, Vilnius University, M.K. Čiurlionio g. 21/27, LT-03101 Vilnius, Lithuania
*
*Corresponding author email address:[email protected]

Abstract

In conventional pollen analysis, usually one sediment core per basin is analyzed to reconstruct past environmental conditions. This approach does not consider spatial heterogeneity of pollen assemblages, and assumes that one analyzed location is representative of the whole basin. To improve the spatial resolution of fossil pollen studies, further knowledge of the factors influencing variations in pollen assemblages throughout a basin is needed. We examined the spatial heterogeneity of pollen assemblages from 45 lacustrine surface samples from a lake with relatively simple hydrology and compared this dense network of surface pollen samples with the Lithuanian State Forest Service arboreal vegetation database. Calculations of pollen productivity at different locations across the lake revealed variations in the behavior of a pollen-vegetation relationship model in different parts of the basin. Our findings suggest that the model underestimated pollen contributions from the lakeshore vegetation. We demonstrate that detailed investigations of surface pollen as a step prior to fossil pollen investigations can provide useful insights, including understanding the influence of sedimentation rate on modelling results and spatial variations in pollen composition, thus providing guidance for site selection for fossil pollen studies.

Type
Research Article
Copyright
Copyright © University of Washington. Published by Cambridge University Press, 2021

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References

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