| _version_ | 1867170464696107008 |
|---|---|
| author | Giesecke, Thomas Davis, Basil A S Brewer, Simon Finsinger, Walter Wolters, Steffen Blaauw, Maarten de Beaulieu, Jacques-Louis Binney, Heather Fyfe, Ralph M Gaillard-Lemdahl, Marie-José Gil-Romera, Graciela van der Knaap, Pim Willem O Kuneš, Petr Kühl, Norbert van Leeuwen, Jaqueline F N Leydet, Michelle Lotter, André F Ortu, Elena Semmler, Malte Sebastian Swen Bradshaw, Richard H W |
| author_facet | Giesecke, Thomas Davis, Basil A S Brewer, Simon Finsinger, Walter Wolters, Steffen Blaauw, Maarten de Beaulieu, Jacques-Louis Binney, Heather Fyfe, Ralph M Gaillard-Lemdahl, Marie-José Gil-Romera, Graciela van der Knaap, Pim Willem O Kuneš, Petr Kühl, Norbert van Leeuwen, Jaqueline F N Leydet, Michelle Lotter, André F Ortu, Elena Semmler, Malte Sebastian Swen Bradshaw, Richard H W |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | The number of well-dated pollen diagrams in Europe has increased considerably over the last 30 years and many of them have been submitted to the European Pollen Database (EPD). This allows for the construction of increasingly precise maps of Holocene vegetation change across the continent. Chronological information in the EPD has been expressed in uncalibrated radiocarbon years, and most chronologies to date are based on this time scale. Here we present new chronologies for most of the datasets stored in the EPD based on calibrated radiocarbon years. Age information associated with pollen diagrams is often derived from the pollen stratigraphy itself or from other sedimentological information. We reviewed these chronological tie points and assigned uncertainties to them. The steps taken to generate the new chronologies are described and the rationale for a new classification system for age uncertainties is introduced. The resulting chronologies are fit for most continental-scale questions. They may not provide the best age model for particular sites, but may be viewed as general purpose chronologies. Taxonomic particularities of the data stored in the EPD are explained. An example is given of how the database can be queried to select samples with appropriate age control as well as the suitable taxonomic level to answer a specific research question. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_804597 |
| institution | PANGAEA |
| language | en |
| publishDate | 2013 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Validated sample ages from 823 EPD sites Giesecke, Thomas Davis, Basil A S Brewer, Simon Finsinger, Walter Wolters, Steffen Blaauw, Maarten de Beaulieu, Jacques-Louis Binney, Heather Fyfe, Ralph M Gaillard-Lemdahl, Marie-José Gil-Romera, Graciela van der Knaap, Pim Willem O Kuneš, Petr Kühl, Norbert van Leeuwen, Jaqueline F N Leydet, Michelle Lotter, André F Ortu, Elena Semmler, Malte Sebastian Swen Bradshaw, Richard H W The number of well-dated pollen diagrams in Europe has increased considerably over the last 30 years and many of them have been submitted to the European Pollen Database (EPD). This allows for the construction of increasingly precise maps of Holocene vegetation change across the continent. Chronological information in the EPD has been expressed in uncalibrated radiocarbon years, and most chronologies to date are based on this time scale. Here we present new chronologies for most of the datasets stored in the EPD based on calibrated radiocarbon years. Age information associated with pollen diagrams is often derived from the pollen stratigraphy itself or from other sedimentological information. We reviewed these chronological tie points and assigned uncertainties to them. The steps taken to generate the new chronologies are described and the rationale for a new classification system for age uncertainties is introduced. The resulting chronologies are fit for most continental-scale questions. They may not provide the best age model for particular sites, but may be viewed as general purpose chronologies. Taxonomic particularities of the data stored in the EPD are explained. An example is given of how the database can be queried to select samples with appropriate age control as well as the suitable taxonomic level to answer a specific research question. |
| title | Validated sample ages from 823 EPD sites |
| topic | |
| url | https://doi.org/10.1594/PANGAEA.804597 |