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:

Earth and Related Environmental Sciences, Natural 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, palynology, mire, picea abies

Map:

Principal organisation:

Swedish University of Agricultural Sciences

Accessibility status:

Access to data through SND
Data are freely accessible

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

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:

Stiftelsen Extensus

Swedish Phytogeographical Society

Subject area:

Earth and Related Environmental Sciences, Natural 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, palynology, mire, picea abies

Download metadata:

Version 1.0:

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

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

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). Pollen analysis and 14C dating in outlining vegetation history of the primeval forest Fiby urskog, south Sweden. Swedish National Data Service. Version 1.0. https://doi.org/10.5878/3azc-7r86

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