nach oben

Erschienen in:

2016 | OriginalPaper | Buchkapitel

3. Radiocarbon Nomenclature, Theory, Models, and Interpretation: Measuring Age, Determining Cycling Rates, and Tracing Source Pools

verfasst von : S. E. Trumbore, C. A. Sierra, C. E. Hicks Pries

Erschienen in: Radiocarbon and Climate Change

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

This chapter introduces the processes that cause isotopes of carbon (C) to be distributed among different Earth system components. This chapter reviews commonly used nomenclature for reporting radiocarbon (¹⁴C) data, which differ according to the application. Finally, theory and models are introduced that are commonly used for interpreting ¹⁴C data in terms of its three major uses: (1) determining the time elapsed since C in a closed system was isolated from the atmosphere; (2) estimating the rate of exchange of C between reservoirs in open systems; and (3) estimating the contributions of different C sources to a mixture.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Radiocarbon Dating: Development of a Nobel Method

Nächstes Kapitel Radiocarbon in the Atmosphere

Bronk Ramsey, C., Dee, M., Lee, S., Nakagawa, T., and Staff, R. (2010). Developments in the calibration and modelling of radiocarbon dates. Radiocarbon 52(3): 953–961.

Bruun, S., J. Six, and L.S. Jensen. 2004. Estimating vital statistics and age distributions of measurable soil organic carbon fractions based on their pathway of formation and radiocarbon content. Journal of Theoretical Biology 230: 241–250.CrossRef

Coplen, T.B., W.A. Brand, M. Gehre, M. Gröning, H.A. Meijer, B. Toman, and R.M. Verkouteren. 2006. New guidelines for δ 13C measurements. Analytical Chemistry 78: 2439–2441.CrossRef

Dioumaeva, I., S. Trumbore, E.A.G. Schuur, M.L. Goulden, M. Litvak, and A.I. Hirsch. 2002. Decomposition of peat from upland boreal forest: temperature dependence and sources of respired carbon. Journal of Geophysical Research-Atmospheres 108.

Donahue, D.J., T.W. Linick, and A.J.T. Jull. 1990. Isotope ratio and background corrections for accelerator mass spectrometry radiocarbon measurements. Radiocarbon 32: 135–142.

Dorrepaal, E., S. Toet, R.S.P. van Logtestijn, E. Swart, M.J. van de Weg, T.V. Callaghan, and R. Aerts. 2009. Carbon respiration from subsurface peat accelerated by climate warming in the subarctic. Nature 460: 616-U679.CrossRef

Dutta, K., E.A.G. Schuur, J.C. Neff, and S.A. Zimov. 2006. Potential carbon release from permafrost soils of northeastern Siberia. Global Change Biology 12: 2336–2351.CrossRef

Eriksson, E. 1971. Compartment models and reservoir theory. Annual Review of Ecology and Systematics 2: 67–84.CrossRef

Faure, G. 1986. Principles of Isotope Geology, 2nd ed. New York: Wiley.

Galli, I., S. Bartalini, S. Borri, P. Cancio, D. Mazzotti, P. De Natale, and G. Giusfredi. 2011. Molecular gas sensing below parts per trillion: radiocarbon-dioxide optical detection. Physical Review Letters 107: 270802.CrossRef

Gaudinski, J.B., S.E. Trumbore, E.A. Davidson, and S. Zheng. 2000. Soil carbon cycling in a temperate forest: radiocarbon-based estimates of residence times, sequestration rates and partitioning fluxes. Biogeochemestry 51: 33–69.CrossRef

Godwin, H. 1962. Half-life of radiocarbon. Nature 195: 984.CrossRef

Hoefs, J. 2009. Stable Isotope Geochemistry. 6th edition. Springer.

IAEA 2001. Environmental Isotopes in the Hydrological Cycle: Principles and Applications, vol. 1, p. 97, Fig. 7.5.

Kendall, C., and J.J. McDonnell (eds.). 1998. Isotope tracers in catchment hydrology. Amsterdam: Elsevier Science.

Levin, I., T. Naegler, B. Kromer, M. Diehl, R.J. Francey, A.J. Gomez-Pelaez, L.P. Steele, D. Wagenbach, R. Weller, and D.E. Worthy. 2010. Observations and modelling of the global distribution and long-term trend of atmospheric 14CO₂. Tellus B 62: 26–46.CrossRef

Manzoni, S., G.G. Katul, and A. Porporato. 2009. Analysis of soil carbon transit times and age distributions using network theories. Journal of Geophysical Research 114.

Mook, W.G., Jc Bommerso, and Wh Staverma. 1974. Carbon isotope fractionation between dissolved bicarbonate and gaseous carbon dioxide. Earth and Planetary Science Letters 22: 169–176.CrossRef

Mook, W.G.E. 2000. Environmental Isotopes in the Hydrological Cycle: Principles and Applications, Vol I, Introduction, Theory, and Methods. Page 291 in I. H. Programme, editor. UNESCO/IAEA, Paris.

Moore, J.W., and B.X. Semmens. 2008. Incorporating uncertainty and prior information into stable isotope mixing models. Ecology Letters 11: 470–480.CrossRef

Olsson, I. 1970. The use of oxalic acid as a standard. Page 17 in Radiocarbon Variations and Absolute Chronology, Nobel Symposium.

Parnell, A.C., R. Inger, S. Bearhop, and A.L. Jackson. 2010. Source partitioning using stable isotopes: coping with too much variation. Plos One 5.

Phillips, D.L. 2001. Mixing models in analyses of diet using multiple stable isotopes: a critique. Oecologia 127: 166–170.CrossRef

Phillips, D.L., and J.W. Gregg. 2001. Uncertainty in source partitioning using stable isotopes. Oecologia 127: 171–179.CrossRef

Phillips, D.L., and J.W. Gregg. 2003. Source partitioning using stable isotopes: coping with too many sources. Oecologia 136: 261–269.CrossRef

Phillips, D.L., S.D. Newsome, and J.W. Gregg. 2005. Combining sources in stable isotope mixing models: alternative methods. Oecologia 144: 520–527.CrossRef

Reimer, P.J. 2013. IntCal13 and Marine13 radiocarbon age calibration curves 0-50,000 years CAL BP. Radiocarbon 55: 1869–1887.CrossRef

Reimer, P.J., M.G.L. Baillie, E. Bard, A. Bayliss, J.W. Beck, P.G. Blackwell, C.B. Ramsey, C.E. Buck, G.S. Burr, R.L. Edwards, M. Friedrich, P.M. Grootes, T.P. Guilderson, I. Hajdas, T.J. Heaton, A.G. Hogg, K.A. Hughen, K.F. Kaiser, B. Kromer, F.G. McCormac, S.W. Manning, R.W. Reimer, D.A. Richards, J.R. Southon, S. Talamo, C.S.M. Turney, J. van der Plicht, and C.E. Weyhenmeye. 2009. IntCal09 and Marine09 radiocarbon age calibration curves, 0-50,000 years cal bp. Radiocarbon 51: 1111–1150.

Rodhe, H. 2000. Modeling Biogeochemical Cycles. In International geophysics, eds. R.J.C.H.R. Michael C. Jacobson and H.O. Gordon. Academic Press.

Rundel, P.W., J.R. Ehleringer, and K.A. Nagy (eds.). 1989. Stable isotopes in ecological research. New York: Springer.

Schuur, E.A.G., S.E. Trumbore, M.C. Mack, and J.W. Harden. 2003. Isotopic composition of carbon dioxide from a boreal forest fire: inferring carbon loss from measurements and modeling. Global Biogeochemical Cycles 17.

Semmens, B.X., J.W. Moore, and E.J. Ward. 2009. Improving Bayesian isotope mixing models: a response to Jackson et al. (2009). Ecology Letters 12:E6–E8.

Sierra, C.A., M. Muller, and S.E. Trumbore. 2012. Models of soil organic matter decomposition: the SoilR package, version 1.0. Geoscientific Model Development 5: 1045–1060.CrossRef

Stuiver, M., and H.A. Polach. 1977. Reporting of C-14 data—discussion. Radiocarbon 19: 355–363.

Stuiver, M., and P.D. Quay. 1981. Atmospheric C-14 changes resulting from fossil fuel CO₂ release and cosmic ray flux variability. Earth and Planetary Science Letters 53: 349–362.CrossRef

Torn, M.S., C.W. Swanston, C. Castanha, and S.E. Trumbore. 2009. Storage and turnover of organic matter in soil. In Biophysico-chemical processes involving natural nonliving organic matter in environmental systems, 219–272. Wiley.

Urton, E.J.M., and K.A. Hobson. 2005. Intrapopulation variation in gray wolf isotope (delta N-15 and delta C-13) profiles: implications for the ecology of individuals. Oecologia 145: 317–326.CrossRef

Wang, Y., R. Amundson, and S. Trumbore. 1994. A model for soil (CO₂)-C14 and its implications for using C-14 to date pedogenic carbonate. Geochimica et Cosmochimica Acta 58: 393–399.CrossRef

Wanninkhof, R. 1985. Kinetic fractionation of the carbon isotopes C-13 and C-12 during transfer of CO₂ from air to seawater. Tellus Series B-Chemical and Physical Meteorology 37: 128–135.CrossRef

Ward, E.J., B.X. Semmens, and D.E. Schindler. 2010. Including source uncertainty and prior information in the analysis of stable isotope mixing models. Environmental Science and Technology 44: 4645–4650.CrossRef

Yu, S.Y., J. Shen, and S.M. Colman. 2007. Modeling the radiocarbon reservoir effect in lacustrine systems. Radiocarbon 49: 1241–1254.

Zare, R.N. 2012. Analytical chemistry: ultrasensitive radiocarbon detection. Nature 482: 312–313.CrossRef

Titel: Radiocarbon Nomenclature, Theory, Models, and Interpretation: Measuring Age, Determining Cycling Rates, and Tracing Source Pools
verfasst von: S. E. Trumbore
C. A. Sierra
C. E. Hicks Pries
Verlag: Springer International Publishing
Buch: Radiocarbon and Climate Change
Print ISBN: 978-3-319-25641-2

Electronic ISBN: 978-3-319-25643-6

Copyright-Jahr: 2016
DOI: https://doi.org/10.1007/978-3-319-25643-6_3