Improving age–depth relationships by using the LANDO (“Linked age and depth modeling”) model ensemble
Age–depth relationships are the key elements in paleoenvironmental studies to place proxy measurements into a temporal context. However, potential influencing factors of the available radiocarbon data and the associated modeling process can cause serious divergences of age–depth relationships from t...
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ftdoajarticles:oai:doaj.org/article:4adc193b93af411f93bb907ac5fd53cd 2024-09-09T19:28:11+00:00 Improving age–depth relationships by using the LANDO (“Linked age and depth modeling”) model ensemble G. Pfalz B. Diekmann J.-C. Freytag L. Syrykh D. A. Subetto B. K. Biskaborn 2022-05-01T00:00:00Z https://doi.org/10.5194/gchron-4-269-2022 https://doaj.org/article/4adc193b93af411f93bb907ac5fd53cd EN eng Copernicus Publications https://gchron.copernicus.org/articles/4/269/2022/gchron-4-269-2022.pdf https://doaj.org/toc/2628-3719 doi:10.5194/gchron-4-269-2022 2628-3719 https://doaj.org/article/4adc193b93af411f93bb907ac5fd53cd Geochronology, Vol 4, Pp 269-295 (2022) Geology QE1-996.5 Stratigraphy QE640-699 article 2022 ftdoajarticles https://doi.org/10.5194/gchron-4-269-2022 2024-08-05T17:49:42Z Age–depth relationships are the key elements in paleoenvironmental studies to place proxy measurements into a temporal context. However, potential influencing factors of the available radiocarbon data and the associated modeling process can cause serious divergences of age–depth relationships from true chronologies, which is particularly challenging for paleolimnological studies in Arctic regions. This paper provides geoscientists with a tool-assisted approach to compare outputs from age–depth modeling systems and to strengthen the robustness of age–depth relationships. We primarily focused on the development of age determination data from a data collection of high-latitude lake systems (50 to 90 ∘ N, 55 sediment cores, and a total of 602 dating points). Our approach used five age–depth modeling systems (Bacon, Bchron, clam, hamstr, Undatable) that we linked through a multi-language Jupyter Notebook called LANDO (“Linked age and depth modeling”). Within LANDO we implemented a pipeline from data integration to model comparison to allow users to investigate the outputs of the modeling systems. In this paper, we focused on highlighting three different case studies: comparing multiple modeling systems for one sediment core with a continuously deposited succession of dating points (CS1), for one sediment core with scattered dating points (CS2), and for multiple sediment cores (CS3). For the first case study (CS1), we showed how we facilitate the output data from all modeling systems to create an ensemble age–depth model. In the special case of scattered dating points (CS2), we introduced an adapted method that uses independent proxy data to assess the performance of each modeling system in representing lithological changes. Based on this evaluation, we reproduced the characteristics of an existing age–depth model (Lake Ilirney, EN18208) without removing age determination data. For multiple sediment cores (CS3) we found that when considering the Pleistocene–Holocene transition, the main regime changes in sedimentation ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Ilirney ENVELOPE(167.951,167.951,67.255,67.255) Geochronology 4 1 269 295 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Geology QE1-996.5 Stratigraphy QE640-699 |
spellingShingle |
Geology QE1-996.5 Stratigraphy QE640-699 G. Pfalz B. Diekmann J.-C. Freytag L. Syrykh D. A. Subetto B. K. Biskaborn Improving age–depth relationships by using the LANDO (“Linked age and depth modeling”) model ensemble |
topic_facet |
Geology QE1-996.5 Stratigraphy QE640-699 |
description |
Age–depth relationships are the key elements in paleoenvironmental studies to place proxy measurements into a temporal context. However, potential influencing factors of the available radiocarbon data and the associated modeling process can cause serious divergences of age–depth relationships from true chronologies, which is particularly challenging for paleolimnological studies in Arctic regions. This paper provides geoscientists with a tool-assisted approach to compare outputs from age–depth modeling systems and to strengthen the robustness of age–depth relationships. We primarily focused on the development of age determination data from a data collection of high-latitude lake systems (50 to 90 ∘ N, 55 sediment cores, and a total of 602 dating points). Our approach used five age–depth modeling systems (Bacon, Bchron, clam, hamstr, Undatable) that we linked through a multi-language Jupyter Notebook called LANDO (“Linked age and depth modeling”). Within LANDO we implemented a pipeline from data integration to model comparison to allow users to investigate the outputs of the modeling systems. In this paper, we focused on highlighting three different case studies: comparing multiple modeling systems for one sediment core with a continuously deposited succession of dating points (CS1), for one sediment core with scattered dating points (CS2), and for multiple sediment cores (CS3). For the first case study (CS1), we showed how we facilitate the output data from all modeling systems to create an ensemble age–depth model. In the special case of scattered dating points (CS2), we introduced an adapted method that uses independent proxy data to assess the performance of each modeling system in representing lithological changes. Based on this evaluation, we reproduced the characteristics of an existing age–depth model (Lake Ilirney, EN18208) without removing age determination data. For multiple sediment cores (CS3) we found that when considering the Pleistocene–Holocene transition, the main regime changes in sedimentation ... |
format |
Article in Journal/Newspaper |
author |
G. Pfalz B. Diekmann J.-C. Freytag L. Syrykh D. A. Subetto B. K. Biskaborn |
author_facet |
G. Pfalz B. Diekmann J.-C. Freytag L. Syrykh D. A. Subetto B. K. Biskaborn |
author_sort |
G. Pfalz |
title |
Improving age–depth relationships by using the LANDO (“Linked age and depth modeling”) model ensemble |
title_short |
Improving age–depth relationships by using the LANDO (“Linked age and depth modeling”) model ensemble |
title_full |
Improving age–depth relationships by using the LANDO (“Linked age and depth modeling”) model ensemble |
title_fullStr |
Improving age–depth relationships by using the LANDO (“Linked age and depth modeling”) model ensemble |
title_full_unstemmed |
Improving age–depth relationships by using the LANDO (“Linked age and depth modeling”) model ensemble |
title_sort |
improving age–depth relationships by using the lando (“linked age and depth modeling”) model ensemble |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/gchron-4-269-2022 https://doaj.org/article/4adc193b93af411f93bb907ac5fd53cd |
long_lat |
ENVELOPE(167.951,167.951,67.255,67.255) |
geographic |
Arctic Ilirney |
geographic_facet |
Arctic Ilirney |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Geochronology, Vol 4, Pp 269-295 (2022) |
op_relation |
https://gchron.copernicus.org/articles/4/269/2022/gchron-4-269-2022.pdf https://doaj.org/toc/2628-3719 doi:10.5194/gchron-4-269-2022 2628-3719 https://doaj.org/article/4adc193b93af411f93bb907ac5fd53cd |
op_doi |
https://doi.org/10.5194/gchron-4-269-2022 |
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Geochronology |
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4 |
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1 |
container_start_page |
269 |
op_container_end_page |
295 |
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