Vegetation reconstruction based on a modelling approach applied to Holocene pollen records from Lakes Ladoga and Onega
DOI:
https://doi.org/10.31951/2658-3518-2024-A-4-718Keywords:
quantitative reconstructions, REVEALS, sub-recent spectra, Lake Lembolovskoye, north-western RussiaAbstract
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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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This work is distributed under the Creative Commons Attribution-NonCommercial 4.0 International License.