Bayesian age-depth modelling applied to varve counting and radiometric dating to develop a high-resolution chronology for a new composite sediment profile from Holzmaar (Germany)

DOI

Four different age-depth models have been calculated for a new sediment profile (HZM19) from Holzmaar (425 m a.s.l., 50°7'8'' N, 6°52' 45'' E) using Bayesian statistics with Bacon (version 4.1.1) for the R programming language and the latest radiocarbon calibration curve Intcal20. Model A is based on previously published radiocarbon measurements only, while the three Models B, C and D integrate the previously published varve chronology (VT-99) applying different approaches. Model B rests upon radiocarbon data, while parameter settings are derived from sedimentation rates of VT-99. Model C is based on radiocarbon dates and on VT-99 as normal-distributed tie-points. Model D is segmented into four sections: Sections 1 and 3 are based on VT-99, whereas Sections 2 and 4 are based on Bacon models including additional information from VT-99. All models cover an age range of approx. 16,000 years for a composite depth of 14.6 m. The varve chronology was transferred to HZM19 using 43 predefined marker layers and 41 radiocarbon sampling positions with their specific VT-99 age and error. In addition, Pb-210 and Cs-137 activities (61 samples with a thickness of 2 cm each) have been measured for the top of HZM19. With this exercise, VT-99 was updated and efficiently applied to HZM19 providing a very precise age-depth model for these new sediment cores, which will value all ongoing and high-resolution investigations for a better understanding of decadal Holocene environmental and climatic variabilities.

Identifier
DOI https://doi.org/10.1594/PANGAEA.949393
Related Identifier IsSupplementTo https://doi.org/10.5194/gchron-5-65-2023
Related Identifier IsDocumentedBy https://doi.org/10.1017/S0033822200030587
Related Identifier IsDocumentedBy https://doi.org/10.1016/0277-3791(94)00123-S
Related Identifier https://doi.org/10.1130/0091-7613(2000)28<783:ADLWCP>2.0.CO
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.949393
Provenance
Creator Birlo, Stella ORCID logo; Tylmann, Wojciech ORCID logo; Zolitschka, Bernd ORCID logo
Publisher PANGAEA
Publication Year 2022
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Bundled Publication of Datasets; Collection
Format application/zip
Size 4 datasets
Discipline Earth System Research
Spatial Coverage (6.883 LON, 50.117 LAT)
Temporal Coverage Begin 2019-08-11T00:00:00Z
Temporal Coverage End 2019-08-17T00:00:00Z