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Approaches to estimating the transfer of radionuclides to Arctic biota

Beresford, N.A.; Wright, S.M.; Barnett, C.L. ORCID: https://orcid.org/0000-0001-9723-7247; Golikov, V.; Shutov, V.; Kravtsova, O.. 2005 Approaches to estimating the transfer of radionuclides to Arctic biota. Radioprotection, 40 (Supplement 1). S285-S290. 10.1051/radiopro:2005s1-043

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Abstract/Summary

We review collated data and available models for estimating the transfer of radionuclides to terrestrial biota within the European Arctic. The most abundant data are for radiocaesium and radiostrontium although many data for natural radionuclides are available. For some radionuclides no data are available for describing transfer to Arctic biota. Allometric-kinetic models have been used to estimate transfer for radionuclide-biota combinations. Predicted values were in good agreement with observed data for some radionuclides although less so for others. There are no bespoke models to enable the dynamic prediction of radionuclide transfer to Arctic biota. A human Arctic foodchain model has been adapted to estimate 137Cs and 90Sr transfer to some Arctic biota. There are many factors of Arctic ecosystems which may influence radionuclide behaviour including short growing seasons, prolonged soil freezing, and effects of low temperatures on biological rates. If exposure to ionising radiation in Arctic ecosystems is to be robustly predicted such factors must be fully understood and incorporated into models.

Item Type: Publication - Article
Digital Object Identifier (DOI): 10.1051/radiopro:2005s1-043
Programmes: CEH Programmes pre-2009 publications > Biogeochemistry > SE01B Sustainable Monitoring, Risk Assessment and Management of Chemicals > SE01.4 Monitoring and predicting the distribution of chemicals in terrestrial and freshwater ecosystems
UKCEH and CEH Sections/Science Areas: _ Environmental Chemistry & Pollution
ISSN: 0033-8451
Additional Keywords: radioecology
NORA Subject Terms: Ecology and Environment
Date made live: 23 Apr 2012 10:41 +0 (UTC)
URI: https://nora.nerc.ac.uk/id/eprint/17721

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