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)
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| Natura: | Dataset Open Access |
| Lingua: | en |
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PANGAEA
2022
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| _version_ | 1867167680850558976 |
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| author | Birlo, Stella Tylmann, Wojciech Zolitschka, Bernd |
| author_facet | Birlo, Stella Tylmann, Wojciech Zolitschka, Bernd |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | 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. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_949393 |
| institution | PANGAEA |
| language | en |
| publishDate | 2022 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | 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) Birlo, Stella Tylmann, Wojciech Zolitschka, Bernd age-depth model; Bayesian Modeling; Holzmaar; radiometric dating; varves 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. |
| title | 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) |
| topic | age-depth model; Bayesian Modeling; Holzmaar; radiometric dating; varves |
| url | https://doi.org/10.1594/PANGAEA.949393 |