TY - JOUR

T1 - Vegetation reconstruction based on a modelling approach applied to Holocene pollen records from Lakes Ladoga and Onega

AU - Vasilyeva, A.V.

AU - Savelieva, L.A.

AU - Krikunova, A.I.

AU - Tarasov, P.E.

N1 - Export Date: 27 October 2024

PY - 2024

Y1 - 2024

N2 - 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. © Author(s) 2024.

AB - 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. © Author(s) 2024.

KW - Lake Lembolovskoye

KW - north-western Russia

KW - quantitative reconstructions

KW - REVEALS

KW - sub-recent spectra

UR - https://www.mendeley.com/catalogue/e3ac6052-d27b-3617-abb7-5f0f5bfbafb3/

U2 - 10.31951/2658-3518-2024-a-4-718

DO - 10.31951/2658-3518-2024-a-4-718

M3 - Article

VL - 7

SP - 718

EP - 725

JO - Limnology and Freshwater Biology

JF - Limnology and Freshwater Biology

SN - 2658-3518

IS - 4

ER -