Vegetation cover estimates and sediment records for Gåsfjärden and Lake Storsjön, Sweden

SND-ID: 2023-286. Version: 1. DOI: https://doi.org/10.5878/j8br-vd54

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Citation

Creator/Principal investigator(s)

Bingjie Yang - Royal Netherlands Institute for Sea Research

Karl Ljung - Lund University, Department of Geology

Wenxin Ning - Lund University, Department of Geology

Helena Filipsson - Lund University, Department of Geology

Anne Birgitte Nielsen - Lund University, Department of Geology

Research principal

Lund University - Department of Geology

Description

Datasets of vegetation cover estimates in percentage from Gåsfjärden and Lake Storsjön based on the Landscape Reconstruction Algorithm and the lignin phenols records of the sediment cores from Lake Storsjön and Gåsfjärden. For a more detailed description of the methodology, see
Yang, B., Ljung, K., Ning, W., Filipsson H.L., Nielsen, A.B. Relationships between land use and terrestrial organic matter transfer to the Baltic Sea over the last 500 years. JGR Biogeosciences, Submitted.

Data contains personal data

Yes

Type of personal data

Author names in publication references

Language

English

Method and outcome

Time period(s) investigated

2018-05-01 – 2020-12-01

Data format / data structure

Numeric

Species and taxons

Salix
Poaceae
Artemisia
Filipendula
Ulmus
Quercus
Picea
Fraxinus
Cyperaceae
Pinus
Fagus
Calluna vulgaris
Tilia
Betula
Alnus
Secale cereale
Rumex acetosa
Corylus
Juniperus
Plantago lanceolata
Carpinus

Data collection

Mode of collection: Experiment
Description of the mode of collection:
The lignin phenols in the sediments were extracted using CuO oxidation (Hedges and Ertel, 1982). sediments were prepared for pollen analysis, according to the standard acetolysis method of Berglund and Ralska-Jasiewiczowa (1986). Land cover was reconstructed through Landscape Reconstruction Algorithm (LRA) (Sugita, 2007).

REFERENCES:
Berglund, B.E., Ralska-Jasiewiczowa. 1986. Pollen Analysis and Pollen Diagrams, Handbook of Holocene Palaeoecology and Palaeohydrology. John Wiley and Sons Press, Chichester, pp. 455-484.
Hedges, J.I., Ertel, J.R., Leopold, E.B. 1982. Lignin geochemistry of a Late Quaternary sediment core from Lake Washington. Geochimica et Cosmochimica Acta 46, 1869-1877.
Sugita, S. 2007. Theory of quantitative reconstruction of vegetation I: pollen from large sites REVEALS regional vegetation composition. Holocene 17, 229-241.
Time period(s) for data collection: 2018-05-01 – 2020-12-01

Geographic coverage

Geographic spread

Geographic location: Småland Province, Baltic Sea

Geographic description: SE Sweden, and SW Baltic Sea, coastal zone

Administrative information

Responsible department/unit

Department of Geology

Topic and keywords

Research area

Climate research (Standard för svensk indelning av forskningsämnen 2011)

Environmental sciences (Standard för svensk indelning av forskningsämnen 2011)

Geology (Standard för svensk indelning av forskningsämnen 2011)

Geochemistry (Standard för svensk indelning av forskningsämnen 2011)

Botany (Standard för svensk indelning av forskningsämnen 2011)

Biota (INSPIRE topic categories)

Geoscientific information (INSPIRE topic categories)

Oceans (INSPIRE topic categories)

Environment (INSPIRE topic categories)

Keywords

Land cover, Landscape, Carbon, Pollen analysis, Climate, Sediment content, Bio-geographical regions, Geology, Habitats and biotopes, Land cover, Land use, Sea regions, Baltic sea

Publications

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Ning, W., Nielsen, A. B., Norbäck Ivarsson, L., Jilber, T., Åkesson, C. M., Slomp, C. P., Andrén, E., Broström, A., & Filipsson, H. L. (2018). Anthropogenic and climatic impacts on a coastal environment in the Baltic Sea over the last 1000 years. In Anthropocene (Vol. 21, pp. 66–79).
DOI: https://doi.org/10.1016/j.ancene.2018.02.003
URN: urn:nbn:se:sh:diva-34716
SwePub: oai:DiVA.org:sh-34716

Ning, W., Tang, J., & Filipsson, H. L. (n.d.). Long-term coastal openness variation and its impact on sediment grain-size distribution : A case study from the Baltic Sea. In Earth Surface Dynamics (Vol. 4, Issue 4, pp. 773–780).
DOI: https://doi.org/10.5194/esurf-4-773-2016
SwePub: oai:lup.lub.lu.se:d23920df-a8a8-4b01-ad40-05d54b0f921d