Evidence map›Paper›PMID 35273429›Full record

ArticleVegetation history and archaeobotany2022

Holocene vegetation, fire and land use dynamics at Lake Svityaz, an agriculturally marginal site in northwestern Ukraine.

Christoph Schwörer, Erika Gobet, Jacqueline F N van Leeuwen, Sarah Bögli, Rachel Imboden, W O van der Knaap, Nadezhda Kotova, Sergej Makhortykh, Willy Tinner

Abstract read
In one paragraph

Article in Vegetation history and archaeobotany, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Marimo for monitoring and filtering of aquatic environments.Environmental science and pollution research international · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Christoph SchwörerInstitute of Plant Sciences, University of Bern, Altenbergrain 21, 3013 Bern, Switzerland.ORCID 0000-0002-8884-8852
Erika GobetInstitute of Plant Sciences, University of Bern, Altenbergrain 21, 3013 Bern, Switzerland.
Jacqueline F N van LeeuwenInstitute of Plant Sciences, University of Bern, Altenbergrain 21, 3013 Bern, Switzerland.
Sarah BögliInstitute of Plant Sciences, University of Bern, Altenbergrain 21, 3013 Bern, Switzerland.
Rachel ImbodenInstitute of Plant Sciences, University of Bern, Altenbergrain 21, 3013 Bern, Switzerland.
W O van der KnaapInstitute of Plant Sciences, University of Bern, Altenbergrain 21, 3013 Bern, Switzerland.
Nadezhda KotovaInstitute of Archaeology, National Academy of Sciences of Ukraine, 12 Geroiv Stalingrada prospekt, Kyiv, 04210 Ukraine.
Sergej MakhortykhInstitute of Archaeology, National Academy of Sciences of Ukraine, 12 Geroiv Stalingrada prospekt, Kyiv, 04210 Ukraine.
Willy TinnerInstitute of Plant Sciences, University of Bern, Altenbergrain 21, 3013 Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Observing natural vegetation dynamics over the entire Holocene is difficult in Central Europe, due to pervasive and increasing human disturbance since the Neolithic. One strategy to minimize this limitation is to select a study site in an area that is marginal for agricultural activity. Here, we present a new sediment record from Lake Svityaz in northwestern Ukraine. We have reconstructed regional and local vegetation and fire dynamics since the Late Glacial using pollen, spores, macrofossils and charcoal. Boreal forest composed of Supplementary Information: The online version contains supplementary material available at 10.1007/s00334-021-00844-z.

Indexed as

BiodiversityClimate changeHuman impactMacrofossilsPalaeoecologyPollen analysis

Identifiers

PMID35273429
PMCPMC8897337

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.