Vegetation reconstruction based on a modelling approach applied to Holocene pollen records from Lakes Ladoga and Onega

Authors

  • Vasilyeva A.V. 1
  • Savelieva L.A. 1 ID
  • Krikunova A.I. 2 ID
  • Tarasov P.E. 2 ID
    • 1 Institute of Earth Sciences, St. Petersburg State University, Universitetskaya Naberezhnaya 7/9, St. Petersburg, 199034, Russia
    2 Institute of Geological Sciences, Palaeontology Section, Freie Universität Berlin, Malteserstraße 74–100, Building D, 12249, Berlin, Germany

DOI:

https://doi.org/10.31951/2658-3518-2024-A-4-718

Keywords:

quantitative reconstructions, REVEALS, sub-recent spectra, Lake Lembolovskoye, north-western Russia

Abstract

Quantitative reconstruction of vegetation abundance utilising pollen records from Lake Ladoga, Lake Onega, and Lake Lembolovskoye in north-western Russia was conducted using the REVEALS model. Two modelling approaches, integrated with three sets of relative pollen productivities and fall speeds, produced divergent outcomes. The option that most accurately reflected the vegetation composition was selected for further analysis. The comparison of modern vegetation with sub-recent spectra from surface samples in the study region enabled an evaluation of the reliability of the model.

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Published

2024-08-26

Issue

2024: №4 (SI:Paleo2024)

Section

Articles

License

Copyright (c) 2024 Limnology and Freshwater Biology

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License
This work is distributed under the Creative Commons Attribution-NonCommercial 4.0 International License.