You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
Large spatial variations in coastal 14C reservoir age – a case study from the Baltic Sea
Large spatial variations in coastal 14C reservoir age – a case study from the Baltic Sea
Coastal locations are highly influenced by input from freshwater river runoff, including sources of terrestrial carbon, which can be expected to modify the 14C reservoir age, or R (t), associated with marine water. In this Baltic Sea case study, pre-bomb museum collection mollusc shells of known calendar age, from 30 locations across a strategic salinity transect of the Baltic Sea, were analysed for 14C, δ13C and δ18O. R (t) was calculated for all 30 locations. Seven locations, of which six are within close proximity of the coast, were found to have relatively higher R (t) values, indicative of hard-water effects. Whenever possible, the Macoma genus of mollusc was selected from the museum collections, in order to exclude species specific reservoir age effects as much as possible. When the Macoma samples are exclusively considered, and samples from hard-water locations excluded, a statistically significant correlation between Macoma R (t) and average salinity is found, indicating a two end-member linear mixing model between 14Cmarine and 14Crunoff. A map of Baltic Sea Macoma aragonite R (t) for the late 19th and early 20th centuries is produced. Such a map can provide an estimate for contemporary Baltic Sea Macoma R (t), although one must exercise caution when applying such estimates back in time or to 14C dates obtained from different sample material. A statistically significant correlation is found between δ18Oaragonite and Macoma R (t), suggesting that δ18Oaragonite can be used to estimate Macoma palaeo-R (t), due to the δ18Oaragonite signal being dominated by the salinity gradient of the Baltic Sea. A slightly increased correlation can be expected when δ18Oaragonite is corrected for temperature fractionation effects. The results of this Baltic Sea case study, which show that R (t) is affected by hydrographic conditions and local carbon inputs, have important consequences for other coastal and estuarine locations, where R (t) is also likely to significantly vary on spatial and temporal bases.
5416
Adolphi, F.: Holocene temperature reconstruction in Baltic Sea sediments for the last 2000 years, using the biomarker TEX86, MSc Theis, 94 pp., Technical University Bergakademie, Freiburg, 2010.
Andersson, P. S., Wasserburg, G. J., and Ingri, J.: The sources and transport of Sr and Nd isotopes in the Baltic Sea, Earth Planet. Sc. Lett., 113, 459-472, 1992.
Ascough, P., Cook, G., and Dugmore, A.: Methodological approaches to determining the marine radiocarbon reservoir effect, Progr. Phys. Geogr., 29, 532-547, 2005a. [OpenAIRE]
Ascough, P. L., Cook, G. T., Dugmore, A. J., Scott, E. M., and Freeman, S. P. H. T.: Influence of mollusc species on marine 1R determinations, Radiocarbon, 47, 433-440, 2005b. [OpenAIRE]
Austin, W. E. N., Cage, A. G., and Scourse, J. D.: Mid-latitude shelf seas: a NW European perspective on the seasonal dynamics of temperature, salinity and oxygen isotopes, Holocene, 16, 937- 947, 2006.
Austin, W. E. N., Telford, R. J., Ninnemann, U. S., Brown, L., Wilson, L. J., Small, D. P., and Bryant, C. L.: North Atlantic reservoir ages linked to high Younger Dryas atmospheric radiocarbon concentrations, Global Planet. Change, 79, 226-233, 2011.
Berglund, B: The Post-Glacial Shore Displacement in Eastern Blekinge, Southeastern Sweden, in: Publications from the Institutes of Mineralogy, Paleontology and Quaternary Geology, University of Lund, Sweden, Sveriges Geologiska Underso¨kning (SGU), Stockholm, Ser C, Nr. 599, 1964.
BGR Hannover, EGS Brussels, UNESCO: International Hydrogeological Map of Europe (1 : 5,000,000), UNESCO Publishing, Paris, 2008.
Bjo¨rck, S.: A review of the history of the Baltic Sea, 13.0-8.0 ka BP, Quaternary Int., 27, 19-40, 1995.
Bondevik, S., Birks, H. H., Gulliksen, S., and Mangerud, J.: Late Weichselian Marine 14C Reservoir Ages at the Western Coast of Norway, Quaternary Res., 52, 104-114, 1999.
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).0 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Popularity provided by BIP!Coastal locations are highly influenced by input from freshwater river runoff, including sources of terrestrial carbon, which can be expected to modify the 14C reservoir age, or R (t), associated with marine water. In this Baltic Sea case study, pre-bomb museum collection mollusc shells of known calendar age, from 30 locations across a strategic salinity transect of the Baltic Sea, were analysed for 14C, δ13C and δ18O. R (t) was calculated for all 30 locations. Seven locations, of which six are within close proximity of the coast, were found to have relatively higher R (t) values, indicative of hard-water effects. Whenever possible, the Macoma genus of mollusc was selected from the museum collections, in order to exclude species specific reservoir age effects as much as possible. When the Macoma samples are exclusively considered, and samples from hard-water locations excluded, a statistically significant correlation between Macoma R (t) and average salinity is found, indicating a two end-member linear mixing model between 14Cmarine and 14Crunoff. A map of Baltic Sea Macoma aragonite R (t) for the late 19th and early 20th centuries is produced. Such a map can provide an estimate for contemporary Baltic Sea Macoma R (t), although one must exercise caution when applying such estimates back in time or to 14C dates obtained from different sample material. A statistically significant correlation is found between δ18Oaragonite and Macoma R (t), suggesting that δ18Oaragonite can be used to estimate Macoma palaeo-R (t), due to the δ18Oaragonite signal being dominated by the salinity gradient of the Baltic Sea. A slightly increased correlation can be expected when δ18Oaragonite is corrected for temperature fractionation effects. The results of this Baltic Sea case study, which show that R (t) is affected by hydrographic conditions and local carbon inputs, have important consequences for other coastal and estuarine locations, where R (t) is also likely to significantly vary on spatial and temporal bases.