“…With the help of a channel flow model, Fjeldskaar (1994b) also noted that the forebulge collapses smoothly without any migration, but that cannot explain the above observations of regression and transgression. In contrast, Bylinski (1990) investigated the forebulge in north-west Russia and eastern Europe and found two major timely different forebulge zones with ∼200 km distance in between (see Rosentau et al, 2007a;Fig. 9), thus indicating a migration of the collapsing forebulge.…”
Section: Peripheral Forebulgementioning
confidence: 89%
“…South-eastern Estonia also experiences subsidence, and the formation of lakes and river valleys is related to the collapse history of the forebulge in this area as well as in north-west Russia (Rosentau et al, 2007a). Mörner (1980) estimated an absolute subsidence of 170 m (which is actually too large, the forebulge in Laurentia was found to be about 50 m (Stea et al, 2001)), while Fjeldskaar (1994b) found a maximum of about 60 m. The result shown in Fig.…”
“…With the help of a channel flow model, Fjeldskaar (1994b) also noted that the forebulge collapses smoothly without any migration, but that cannot explain the above observations of regression and transgression. In contrast, Bylinski (1990) investigated the forebulge in north-west Russia and eastern Europe and found two major timely different forebulge zones with ∼200 km distance in between (see Rosentau et al, 2007a;Fig. 9), thus indicating a migration of the collapsing forebulge.…”
Section: Peripheral Forebulgementioning
confidence: 89%
“…South-eastern Estonia also experiences subsidence, and the formation of lakes and river valleys is related to the collapse history of the forebulge in this area as well as in north-west Russia (Rosentau et al, 2007a). Mörner (1980) estimated an absolute subsidence of 170 m (which is actually too large, the forebulge in Laurentia was found to be about 50 m (Stea et al, 2001)), while Fjeldskaar (1994b) found a maximum of about 60 m. The result shown in Fig.…”
“…For example, recording and classifying all available isolationstratigraphical information related to different stages of the Yoldia Sea, Ancylus Lake and Litorina Sea available in the literature would be most useful from the viewpoint of creating an up-to-date database for shoreline displacement curves in Finland. One additional future possibility is to combine the ASD information with that collected by Vassiljev et al (2005) and Rosentau (2006) in Estonia, Svensson (1989) and Jakobsson et al (2007) in Sweden, as well as other available information in the BSB region, in order to extend the reconstructions to the entire Baltic Sea basin. …”
Section: Conclusion and Future Prospectsmentioning
confidence: 99%
“…A similar type of approach has earlier been adopted at least in Estonia (Vassiljev et al, 2005;Rosentau, 2006) and Sweden (Svensson, 1989;Jakobsson et al, 2007). The present study aimed at formulating a suitable geodatabase that could be used to systematically collect and classify all relevant information needed in studies on ancient shorelines in the BSB region.…”
An ArcGIS geodatabase called the Ancient Shoreline Database (ASD) was developed for the study and interpretation of ancient shorelines and shoreline displacement information. It was further divided into the Isolation Database (ISD) and Shoreline Landform Database (SLD) based on the characteristics of the available information. In the current study, observations related to the maximum extension of the Litorina Sea and the highest shoreline in Finland were carefully recorded and classified in the ASD. A total of 1625 shoreline observations were stored in the ASD, of which 106 were stratigraphic data points from dated isolation horizons (ISD) and the remaining 1519 were data points representing morphological shoreline observations (SLD). This paper describes the content of the ASD in terms of the variability and reliability of collated data points, but also introduces how modern LiDAR-based digital elevation models were utilized in validating the published observations as well as in interpreting new data points related to ancient shorelines from areas lacking information. The compiled ASD was used to reconstruct the diachronous maximum extension of the Litorina Sea and the highest shoreline of the Baltic Sea basin in Finland.
“…Tipper 1971;Plouffe et al 2011), aerial photograph (≤1:40 000) analysis and digital elevation models (DEMs, Geobase® 2007 (100 m horizontal resolution subsampled to 25 m, 9 m vertical resolution 99.73% of the time)) in a geographical information system (GIS) (cf. Jansson 2003;Johnsen & Brennand 2004;Rosentau et al 2007). Where accessible, landform and sediment classifications were later confirmed by field observations at exposures and by hand augering (sediment texture) or ground-penetrating radar (GPR) surveys (sedimentary architecture; Fig.…”
Section: Reconstructing Lateglacial Lake Extentmentioning
Decay of the last Cordilleran Ice Sheet (CIS) near its geographical centre has been conceptualized as being dominated by passive downwasting (stagnation), in part because of the lack of large recessional moraines. Yet, multiple lines of evidence, including reconstructions of glacio‐isostatic rebound from palaeoglacial lake shoreline deformation suggest a sloping ice surface and a more systematic pattern of ice‐margin retreat. Here we reconstructed ice‐marginal lake evolution across the subdued topography of the southern Fraser Plateau in order to elucidate the pattern and style of lateglacial CIS decay. Lake stage extent was reconstructed using primary and secondary palaeo‐water‐plane indicators: deltas, spillways, ice‐marginal channels, subaqueous fans and lake‐bottom sediments identified from aerial photograph and digital elevation model interpretation combined with field observations of geomorphology and sedimentology, and ground‐penetrating radar surveys. Ice‐contact indicators, such as ice‐marginal channels, and grounding‐line moraines were used to refine and constrain ice‐margin positions. The results show that ice‐dammed lakes were extensive (average 27 km2; max. 116 km2) and relatively shallow (average 18 m). Within basins successive lake stages appear to have evolved by expansion, decanting or drainage (glacial lake outburst flood, outburst flood or lake maintenance) from southeast to northwest, implicating a systematic northwestward retreating ice margin (rather than chaotic stagnation) back toward the Coast Mountains, similar in style and pattern to that proposed for the Fennoscandian Ice Sheet. This pattern is confirmed by cross‐cutting drainage networks between lake basins and is in agreement with numerical models of North American ice‐sheet retreat and recent hypotheses on lateglacial CIS reorganization during decay. Reconstructed lake systems are dynamic and transitory and probably had significant effects on the dynamics of ice‐marginal retreat, the importance of which is currently being recognized in the modern context of the Greenland Ice Sheet, where >35% of meltwater streams from land‐terminating portions of the ice sheet end in ice‐contact lakes.
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