PANGAEA_975099
Pollen counts for the Holocene sediment sequence retrieved from Lake Loitsana, Finland
Shala, Shyhrete; Helmens, Karin; Engels, Stefan; Kuhry, Peter; Kylander, Malin E; Luoto, Tomi P; Salonen, Sakari; Väliranta, Minna; Weckström, Jan
Pollen counts for the Holocene sediment sequence retrieved from Lake Loitsana, Finland
2025-02-13
PANGAEA
Dataset
https://doi.pangaea.de/10.1594/PANGAEA.975099
Investigator
Stefan
Engels
s.engels@bbk.ac.uk
Earth Science
DEPTH, sediment/rock
Age model
Betula nana
Betula pendula
Betula undifferentiated
Abies
Alnus
Carpinus
Fraxinus
Juniperus
Picea
Pinus
Populus
Tilia
Ulmus
Anthemis-type
Artemisia
Aster-type
Cannabis/Humulus-type
Corylus
Poaceae
Carex-type
Rosaceae
Salix
Chenopodiaceae
Potentilla
Caryophyllaceae
Ericaceae
Rumex acetosa
Rumex acetosella
Rumex undifferentiated
Ranunculaceae
Polygonum bistorta-type
Brassicaceae
Filipendula
Epilobium
Cirsium-type
Galium
Thalictrum
Lactuceae
Apiaceae
Alchemilla
Calluna vulgaris
Ambrosia
Persicaria amphibia
Viola palustris-type
Sambucus-type
Trollius europaeus-type
Linnaea borealis
Dryopteris-type
Athyrium-type
Lycopodium
Equisetum
Diphasiastrum
Huperzia selago
Cryptogramma crispa
Sphagnum
Tilletia
Nuphar
Nymphaea
Myriophyllum alterniflorum
Myriophyllum spicatum
Potamogeton
Typha latifolia
Hippuris vulgaris
Charcoal, particles
Botryococcus
Glomus
Pediastrum
Palynomorpha, non-pollen
Pinus, stomata
Pollen, undifferentiated
Sample volume
Lycopodium (added)
Lycopodium spores per tablet
Lycopodium (counted)
geoscientificInformation
C/N
Chironomids
diatoms
Finland
Holocene
Itrax
LL
LOI
Loitsana_Lake
Macro-remains
Pollen
Russian peat corer
Sokli
Stable isotopes
Calculated, according to Shala et al. (2017)
Calculated according to Blaauw and Christen (2011)
Light microscope, Zeiss [1000x magnification]
2008-04-05
2008-04-06
Complete
67.80472222
67.80472222
29.28222222
29.28222222
0.01 m (DEPTH, sediment/rock)
8.825 m (DEPTH, sediment/rock)
unrestricted
CC-BY-4.0: Creative Commons Attribution 4.0 International
English
PANGAEA
Data Publisher for Earth & Environmental Science
https://www.pangaea.de/
Data Center Contact
Michael
Diepenbroek
info@pangaea.de
Leobener Str.
Bremen
Bremen
28359
Germany
online
4773 data points
text/tab-separated-values
Blaauw, Maarten; Christen, Andrés (2011): Flexible paleoclimate age-depth models using an autoregressive gamma process. Bayesian Analysis, 6(3), 457-474, https://doi.org/10.1214/11-BA618
Salonen, J Sakari; Helmens, Karin F; Seppä, Heikki; Birks, H John B (2013): Pollen-based palaeoclimate reconstructions over long glacial–interglacial timescales: methodological tests based on the Holocene and MIS 5d–c deposits at Sokli, northern Finland. Journal of Quaternary Science, 28(3), 271-282, https://doi.org/10.1002/jqs.2611
Shala, Shyhrete; Helmens, Karin F; Luoto, Tomi P; Salonen, J Sakari; Väliranta, Minna; Weckström, Jan (2017): Comparison of quantitative Holocene temperature reconstructions using multiple proxies from a northern boreal lake. The Holocene, 27(11), 1745-1755, https://doi.org/10.1177/0959683617708442
Shala, Shyhrete; Helmens, Karin F; Luoto, Tomi P; Väliranta, Minna; Weckström, Jan; Salonen, J Sakari; Kuhry, Peter (2014): Evaluating environmental drivers of Holocene changes in water chemistry and aquatic biota composition at Lake Loitsana, NE Finland. Journal of Paleolimnology, https://doi.org/10.1007/s10933-014-9795-1
This dataset provides counts the pollen counts for the Holocene sediment sequence retrieved from Lake Loitsana (Finland) in 2008. Counts per taxon are presented against both depth (m) and age (cal ka. BP); sample volume, the number of Lycopodium tablets added during sample preparation, the number of Lycopodium spores per tablet, and the number of Lycopodium spores encountered during analysis are also presented. Two age/depths models are presented: the first model represents the original age/depth model applied to the records (Shala et al., 2014; 2017) and the second age/depth model, which is the author-preferred version, presents updated age-estimates derived using the r package 'Bacon' (Blaauw and Christensen, 2011). The pollen dataset provides information on terrestrial and aquatic vegetation dynamics (Salonen et al., 2013). A total of 55 samples was analysed, with samples prepared using standard KOH, HF and acetolysis treatments and counted using a light microscope (400× magnification). Non-pollen palynomorphs and conifer stomata were also counted from the pollen slides. ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.975099"! ** Further funding was provided by SKB (Swedish Nuclear Fuel and Waste Management Company) and the Bolin Centre for Climate Research.
https://doi.org/10.1002/jqs.2611
Pollen-based palaeoclimate reconstructions over long glacial–interglacial timescales: methodological tests based on the Holocene and MIS 5d–c deposits at Sokli, northern Finland
https://doi.org/10.1007/s10933-014-9795-1
Evaluating environmental drivers of Holocene changes in water chemistry and aquatic biota composition at Lake Loitsana, NE Finland
https://doi.org/10.1177/0959683617708442
Calculated, according to Shala et al. (2017)
https://doi.org/10.1177/0959683617708442
Comparison of quantitative Holocene temperature reconstructions using multiple proxies from a northern boreal lake
https://doi.org/10.1214/11-BA618
Calculated according to Blaauw and Christen (2011)
https://doi.org/10.1214/11-BA618
Flexible paleoclimate age-depth models using an autoregressive gamma process
DIF
9.4
2025-02-13
2026-02-15