A Holocene relative sea-level database for the Baltic Sea

被引:30
|
作者
Rosentau, Alar [1 ]
Klemann, Volker [2 ]
Bennike, Ole [3 ]
Steffen, Holger [4 ]
Wehr, Jasmin [5 ]
Latinovic, Milena [2 ]
Bagge, Meike [2 ]
Ojala, Antti [6 ,7 ]
Berglund, Mikael [8 ]
Becher, Gustaf Peterson [9 ,10 ]
Schoning, Kristian [9 ]
Hansson, Anton [11 ]
Nielsen, Lars [12 ]
Clemmensen, Lars B. [12 ]
Hede, Mikkel U. [12 ,13 ]
Kroon, Aart [12 ]
Pejrup, Morten [12 ]
Sander, Lasse [12 ,14 ]
Stattegger, Karl [15 ]
Schwarzer, Klaus [15 ]
Lampe, Reinhard [16 ]
Lampe, Matthias [17 ]
Uscinowicz, Szymon [18 ]
Bitinas, Albertas [19 ]
Grudzinska, Ieva [20 ]
Vassiljev, Jueri [21 ]
Nirgi, Triine [1 ]
Kublitskiy, Yuriy [22 ]
Subetto, Dmitry [22 ,23 ,24 ]
机构
[1] Univ Tartu, Inst Ecol & Earth Sci, EE-51014 Tartu, Estonia
[2] GFZ German Res Ctr Geosci, Helmholtz Ctr Potsdam, D-14473 Potsdam, Germany
[3] Geol Survey Denmark & Greenland, Oster Voldgade 10, DK-1350 Copenhagen K, Denmark
[4] Lantmateriet, Geodata Div, Lantmaterigatan 2C, S-80182 Gavle, Sweden
[5] Friedrich Schiller Univ, Inst Geog, Jena, Germany
[6] Geol Survey Finland, POB 96, Espoo 02151, Finland
[7] Univ Turku, Dept Geog & Geol, FI-20014 Turku, Finland
[8] Dalarna Univ, Off Educ & Res, S-79188 Falun, Sweden
[9] Geol Survey Sweden, Box 670, S-7512819 Uppsala, Sweden
[10] Gothenburg Univ, Dept Earth Sci, Box 460, S-40530 Gothenburg, Sweden
[11] Lund Univ, Dept Geol, Solvegatan 12, S-22362 Lund, Sweden
[12] Univ Copenhagen, Fac Sci, Dept Geosci & Nat Resource Management, Oster Voldgade 10, DK-1350 Copenhagen K, Denmark
[13] Tarnby Gymnasium Og HF, Tejn Alle 5, DK-2770 Kastrup, Denmark
[14] Alfred Wegener Inst, Helmholtz Ctr Polar & Marine Res, Wadden Sea Res Stn, Hafenstr 43, D-25992 List Auf Sylt, Germany
[15] Univ Kiel, Inst Geosci, Olshausenstr 40, D-24118 Kiel, Germany
[16] Greifswald Univ, Inst Geog & Geol, D-17487 Greifswald, Germany
[17] Inst Biota GmbH, D-18246 Butzow, Germany
[18] Polish Geol Inst, Branch Marine Geol, Natl Res Inst, Koscierska 5, PL-80328 Gdansk, Poland
[19] Nat Res Ctr, Akad Str 2, LT-08412 Vilnius, Lithuania
[20] Univ Latvia, Inst Biol, Miera Iela 3, LV-2169 Salaspils, Latvia
[21] Tallinn Univ Technol, Inst Geol, Ehitajate Tee 5, EE-1908645 Tallinn, Estonia
[22] Herzen State Pedag Univ Russia, Moika Emb 48, St Petersburg 191186, Russia
[23] Russian Acad Sci, Inst Water & Environm Problems, Siberian Branch, Molodezhnaya St 1, Barnaul 656038, Russia
[24] Immanuel Kant Baltic Fed Univ, A Nevsky St 14, Kaliningrad 236016, Russia
基金
俄罗斯基础研究基金会;
关键词
Baltic sea; Sea-level indicator; Relative sea level; HOLSEA; Glacial isostatic adjustment; Ice history model; Mapping function; PostgreSQL; SHORE DISPLACEMENT; ICE LAKE; ISOSTATIC UPLIFT; SOUTHERN KATTEGAT; EASTERN SWEDEN; GREAT BELT; COAST; HISTORY; AGE; SCANDINAVIA;
D O I
10.1016/j.quascirev.2021.107071
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
We present a compilation and analysis of 1099 Holocene relative shore-level (RSL) indicators located around the Baltic Sea including 867 relative sea-level data points and 232 data points from the Ancylus Lake and the following transitional phase. The spatial distribution covers the Baltic Sea and near-coastal areas fairly well, but some gaps remain mainly in Sweden. RSL data follow the standardized HOLSEA format and, thus, are ready for spatially comprehensive applications in, e.g., glacial isostatic adjustment (GIA) modelling. We apply a SQL database system to store the nationally provided data sets in their individual form and to map the different input into the HOLSEA format as the information content of the individual data sets from the Baltic Sea area differs. About 80% of the RSL data is related to the last marine stage in Baltic Sea history after 8.5 ka BP (thousand years before present). These samples are grouped according to their dominant RSL tendencies into three clusters: regions with negative, positive and complex (transitional) RSL tendencies. Overall, regions with isostatic uplift driven negative tendencies dominate and show regression in the Baltic Sea basin during the last marine stage. Shifts from positive to negative tendencies in RSL data from transitional regions show a mid-Holocene highstand around 7.5-6.5 ka BP which is consistent with the end of the final melting of the Laurentide Ice Sheet. Comparisons of RSL data with GIA predictions including global ICE-5G and ICE-6G_C ice histories show good fit with RSL data from the regions with negative tendencies, whereas in the transitional areas in the eastern Baltic, predictions for the mid-Holocene clearly overestimate the RSL and fail to recover the midHolocene RSL highstand derived from the proxy reconstructions. These results motivate improvements of ice-sheet and Earth-structure models and show the potential and benefits of the new compilation for future studies. (C) 2021 The Authors. Published by Elsevier Ltd.
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页数:19
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