Pollen analysis and 14C dating in outlining vegetation history of the primeval forest Fiby urskog, south Sweden

Creator/Principal investigator(s)

Jerry Skoglund - Swedish University of Agricultural Sciences, Department of Ecology orcid

Håkan Hytteborn - Uppsala University, Department of Ecology and Genetics

Sven Karlsson - Stockholm University, Department of Physical Geography

Description

The data file is the raw data collected in Fiby urskog, south Sweden in order to perform a paleoecological study, covering ca 7000 years, using pollen analysis, including spores, charcoal fragments and mineral particles from a small wetland basin. 14C dating, diatom analysis and shore displacement data aided in dating the vegetation succession. Indicators of human impact and other disturbances, during the last ca 1000 years, are given particular attention as well as Picea immigration.

Subject area

Natural Sciences, Earth and Related Environmental Sciences, Biological Sciences (The Swedish standard of fields of research 2011)
Biota, Geoscientific Information (INSPIRE topic categories)

Keywords

primary forest, paleoecology, pollen analysis, terrestrial, habitats and biotopes, mire, picea abies, palynology

Map

Principal organisation

Swedish University of Agricultural Sciences

Download data

SND1124-001_V1.0.zip (49.24 KB)

Responsible department/unit

Creator/Principal investigator(s)

Jerry Skoglund - Swedish University of Agricultural Sciences, Department of Ecology orcid

Håkan Hytteborn - Uppsala University, Department of Ecology and Genetics

Sven Karlsson - Stockholm University, Department of Physical Geography

Identifiers

SND-ID: SND 1124

Description

The data file is the raw data collected in Fiby urskog, south Sweden in order to perform a paleoecological study, covering ca 7000 years, using pollen analysis, including spores, charcoal fragments and mineral particles from a small wetland basin. 14C dating, diatom analysis and shore displacement data aided in dating the vegetation succession. Indicators of human impact and other disturbances, during the last ca 1000 years, are given particular attention as well as Picea immigration.

Language

English

Time period(s) investigated

5000 BC — 2000

Geographic spread

Geographic location: Sweden, Vänge Parish

Geographic description: Fiby urskog nature reserve is managed by the Administrative Board of Uppsala County. Fiby urskog is situated 16 km west of Uppsala, 5 km northwest of Vänge.

Funding

Funding agency: Swedish Phytogeographical Society

Funding agency: Stiftelsen Extensus

Subject area

Natural Sciences, Earth and Related Environmental Sciences, Biological Sciences (The Swedish standard of fields of research 2011)
Biota, Geoscientific Information (INSPIRE topic categories)

Keywords

primary forest, paleoecology, pollen analysis, terrestrial, habitats and biotopes, mire, picea abies, palynology

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Version 1.0

2019-10-01
https://doi.org/10.5878/3azc-7r86

Download citation

Download data

SND1124-001_V1.0.zip (49.24 KB)

Pollen analysis and 14C dating in outlining vegetation history of the primeval forest Fiby urskog, south Sweden

Citation

Jerry Skoglund, Håkan Hytteborn, Sven Karlsson. Swedish University of Agricultural Sciences, Department of Ecology (2019). <em>Pollen analysis and 14C dating in outlining vegetation history of the primeval forest Fiby urskog, south Sweden</em>. Swedish National Data Service. Version 1.0. <a href="https://doi.org/10.5878/3azc-7r86">https://doi.org/10.5878/3azc-7r86</a>

Creator/Principal investigator(s)

Jerry Skoglund - Swedish University of Agricultural Sciences, Department of Ecology orcid

Håkan Hytteborn - Uppsala University, Department of Ecology and Genetics

Sven Karlsson - Stockholm University, Department of Physical Geography

Description

Pollen was extracted from the sediment with a Russian peat corer (diameter 5 cm) every 2.5 cm down to ca 100 cm. Standard acetolysis method was used to extract pollen and spores. Treatment with hydrofluoric acid was performed on the lowermost part of the sediment to separate the large number of mineral particles.

Data format / data structure

Numeric

Text

Published: 2019-10-03