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Twigs date the second Holocene transgression in southwestern Norway

Published online by Cambridge University Press:  22 April 2025

Svein V. Nielsen*
Affiliation:
Stavanger Maritime Museum, MUST, Muségata 16, 4010 Stavanger, Norway
Martin Hinz
Affiliation:
Universität Bern, Institut für Archäologische Wissenschaften, Prähistorische Archäologie (Ur- und Frühgeschichte) und Oeschger Centre for Climate Change Research (OCCR), Mittelstrasse 43, 3012 Bern, Switzerland
*
Corresponding author: Svein V. Nielsen; Email: svein.v.nielsen@museumstavanger.no
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Abstract

Marine flooding events occasionally interrupted the everyday lives of prehistoric coastal populations. Identification of such events are important for studies of past population dynamics and adaptive strategies. However, short-term events are rarely identified in the geological record, which puts a severe limit on our archaeological interpretive framework. This paper explores the temporality of the second Holocene transgression in southwestern Norway (ca. 3500 BCE) and works under the hypothesis that it was not a slow geological process but rather one or multiple short-term events. A Bayesian approach is used to analyze multidisciplinary time series data collected from sites located in Norway and Shetland. The resulting chronological model supports the hypothesis that the second Holocene transgression in southwestern Norway was a rapid flooding event that occurred in the period 3445–3395 BCE (Early Neolithic II). It is also suggested, but not argued conclusively, that this flooding event could correspond to the Garth tsunami, a paleotsunami named after Garth Loch in Shetland. Considering the potential impact of such a flooding event on the everyday lives of local foragers who dwelled in southwestern Norway, it is anticipated that this study could form a starting point for future case studies.

Information

Type
Research Article
Copyright
© The Author(s), 2025. Published by Cambridge University Press on behalf of University of Arizona
Figure 0

Figure 1. Map of the Tananger peninsula (stapled area) in Southern Norway and the archaeological (red) and geological (blue) sites discussed in the paper. Figure: Svein V. Nielsen.

Figure 1

Figure 2. Photo of the Jåsund beach ridge, investigated by use of an excavator in 1980. Photographed towards the northeast. Photo: Hanne Thomsen (Prøsch-Danielsen 2006, 54, their Fig. 48a).

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Figure 3. Soil profile from the open-air occupation site Sunde 34, located northwest of the Tananger peninsula (Bang-Andersen 1995, 116, their Fig. 7).

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Figure 4. The Sola airport site, here being excavated in the mid-1980s. Photographed towards the east. Photo: Terje Tveit (Prøsch-Danielsen and Selsing 2009, 37, their Fig. 25).

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Figure 5. (a) The open-air occupation site Jåsund 2 towards the end of the excavation in 2011, with archaeologist Henriette Hope excavating the bottom Neolithic occupation layer. Photographed towards the southwest. (b) Soil profile towards the west, showing the upper Bronze Age cultivation layer, the non-anthropogenic layer with sand and small stones beneath, and the lowest Early Neolithic occupation layer. Photos: Hilde Fyllingen, Museum of Archaeology, University of Stavanger, Sf104466, Sf104499 (Licence: CC BY-NC-ND 4.0).

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Figure 6. Photo of selected Neolithic artifacts from Jåsund 2. All tanged points of flint and rhyolite (row 1–4) and note that some of these were found in the upper mixed cultivation layer and some inside the bottom Early Neolithic layer. Below are pottery sherds, exclusively from the mechanical excavation layers 6–7 (row 5–6). The four sherds with ornamentation, i.e. with cord and other small imprints, are placed on the left side. Figure: Svein V. Nielsen.

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Figure 7. (a) Plot of calibrated radiocarbon dates discussed in the paper, made with OxCal 4.4 (Bronk Ramsey 2023). The dates are organized in four groups; tsunami deposits (green probability distributions) are dated samples from contexts interpreted as caused by a flooding event (cf. Nielsen 2020). Samples in this group should therefore be older than the event itself. Pre-tsunami occupations (yellow probability distributions) are dated samples from occupation sites that should be older than the event. The tsunami event dates (red probability distributions) refers to the dated ages of the gyttja samples positioned directly above the gravel layer in the lake basin at Skjoldnesmyra, Southern Norway, which were interpreted by Romundset et al. (2015) at reflecting the Garth tsunami. These ages provide the most accurate terminus post quem of the event in Norway available today. Post-tsunami occupations (blue probability distributions) are dates from occupation sites that should be younger than the tsunami event. (b) The first Bayesian model with only Norwegian sites. The flooding event is structured by immediately before (i.e. charcoal from layer 3 at Slettabø, charcoal from the hearth at Jåsund 2, and twig from the Jåsund beach ridge) and immediately after (i.e. mud samples from the Skjoldnesmyra basin and then charcoal from layer 2 at Slettabø). Here we show the 95% probability of before (yellow and green) and after (red and blue) calibrated probability distributions from the Bayesian analysis. The dating of the flooding event is reflected by a Date function, 3460–3380 BCE (95% probability), the duration of that phase is reflected by an interval query (0–45 years, 95% probability). Figure: Svein V. Nielsen & Martin Hinz.

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Figure 8. (a) The second Bayesian model where sites from southwestern Norway and eastern Shetland are included. The flooding event is structured by allowing the short-lived twig from the Jåsund beach ridge represent the age of the flooding, with and interval and boundaries added before and after. The dating of the flooding event is again given by a Date function, 3460–3380 BCE (95% probability). (b) Posterior probability distributions of the boundary events and the dated twig from the Jåsund beach ridge in southwestern Norway as shown in (a). (c) Posterior probability distribution of the duration of the Tsunami interval. Figure: Svein V. Nielsen & Martin Hinz.