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Lake and mire isolation data set for the estimation of post-glacial land uplift in Fennoscandia

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Lake and mire isolation data set for the estimation of post-glacial land uplift in Fennoscandia. / Pohjola, Jari; Turunen, Jari; Lipping, Tarmo.

julkaisussa: Earth System Science Data, Vuosikerta 12, Nro 2, 2020, s. 869-873.

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Bibtex - Lataa

@article{cf157fa1f077483a8ded771346584099,
title = "Lake and mire isolation data set for the estimation of post-glacial land uplift in Fennoscandia",
abstract = "Postglacial land uplift is a complex process related to the continental ice retreat that took place about 10 000 years ago and thus started the viscoelastic response of the Earth's crust to rebound back to its equilibrium state. To empirically model the land uplift process based on past behaviour of shoreline displacement, data points of known spatial location, elevation and dating are needed. Such data can be obtained by studying the isolation of lakes and mires from the sea. Archaeological data on human settlements (i.e. human remains, fireplaces etc.) are also very useful as the settlements were indeed situated on dry land and were often located close to the coast. This information can be used to validate and update the postglacial land uplift model. In this paper, a collection of data underlying empirical land uplift modelling in Fennoscandia is presented. The data set is available at https://doi.org/10.1594/PANGAEA.905352 (Pohjola et al., 2019).",
author = "Jari Pohjola and Jari Turunen and Tarmo Lipping",
year = "2020",
doi = "10.5194/essd-12-869-2020",
language = "English",
volume = "12",
pages = "869--873",
journal = "Earth System Science Data",
issn = "1866-3516",
publisher = "Copernicus Publications",
number = "2",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - Lake and mire isolation data set for the estimation of post-glacial land uplift in Fennoscandia

AU - Pohjola, Jari

AU - Turunen, Jari

AU - Lipping, Tarmo

PY - 2020

Y1 - 2020

N2 - Postglacial land uplift is a complex process related to the continental ice retreat that took place about 10 000 years ago and thus started the viscoelastic response of the Earth's crust to rebound back to its equilibrium state. To empirically model the land uplift process based on past behaviour of shoreline displacement, data points of known spatial location, elevation and dating are needed. Such data can be obtained by studying the isolation of lakes and mires from the sea. Archaeological data on human settlements (i.e. human remains, fireplaces etc.) are also very useful as the settlements were indeed situated on dry land and were often located close to the coast. This information can be used to validate and update the postglacial land uplift model. In this paper, a collection of data underlying empirical land uplift modelling in Fennoscandia is presented. The data set is available at https://doi.org/10.1594/PANGAEA.905352 (Pohjola et al., 2019).

AB - Postglacial land uplift is a complex process related to the continental ice retreat that took place about 10 000 years ago and thus started the viscoelastic response of the Earth's crust to rebound back to its equilibrium state. To empirically model the land uplift process based on past behaviour of shoreline displacement, data points of known spatial location, elevation and dating are needed. Such data can be obtained by studying the isolation of lakes and mires from the sea. Archaeological data on human settlements (i.e. human remains, fireplaces etc.) are also very useful as the settlements were indeed situated on dry land and were often located close to the coast. This information can be used to validate and update the postglacial land uplift model. In this paper, a collection of data underlying empirical land uplift modelling in Fennoscandia is presented. The data set is available at https://doi.org/10.1594/PANGAEA.905352 (Pohjola et al., 2019).

U2 - 10.5194/essd-12-869-2020

DO - 10.5194/essd-12-869-2020

M3 - Article

VL - 12

SP - 869

EP - 873

JO - Earth System Science Data

JF - Earth System Science Data

SN - 1866-3516

IS - 2

ER -