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Derivation of allometric relationships for radionuclides in marine phyla

Published online by Cambridge University Press:  06 June 2009

J. Vives i Batlle*
Affiliation:
Westlakes Scientific Consulting Ltd., The Princess Royal Building, Westlakes Science and Technology Park, Moor Row, CA24 3LN Cumbria, UK
R. C. Wilson
Affiliation:
Westlakes Scientific Consulting Ltd., The Princess Royal Building, Westlakes Science and Technology Park, Moor Row, CA24 3LN Cumbria, UK
S. J. Watts
Affiliation:
Westlakes Scientific Consulting Ltd., The Princess Royal Building, Westlakes Science and Technology Park, Moor Row, CA24 3LN Cumbria, UK
P. McDonald
Affiliation:
Westlakes Scientific Consulting Ltd., The Princess Royal Building, Westlakes Science and Technology Park, Moor Row, CA24 3LN Cumbria, UK
A. Craze
Affiliation:
Nuclear Decommissioning Authority, Herdus House, Westlakes Science and Technology Park, Moor Row, CA24 3HU Cumbria, UK
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Abstract

An allometric scaling approach has been used to calculate biological half-lives of elimination (TB1/2) and concentration factors (CF) for radionuclides in marine biota. Power functions of organism mass are fitted to a biokinetic database for plankton, seaweed, fish, crustaceans and molluscs, using data generated by us, in combination with reviewed data. Scaling of the CF to M-0.26 ± 0.09 is observed, compatible at ±1σ with metabolic theory predictions that metabolism scales to M0.75. We also observe scaling of TB1/2 to M+0.16 ± 0.03, within the previously reported range +0.15 to +0.30 for biota from various environments and, at < ± 3σ, slightly outside turnover rate scaling predictions to M-0.25. The elements for which the CF scales better allometrically are particle seeking, mainly lanthanides and actinides. Association of the independent term of the allometric power function a with the sediment-water partition coefficient Kd is strongest for these elements, possibly through binding to biological/organic matter. The findings from this study are relevant to extend the range of applicability of our biota dose assessment methodologies where data gaps in transfer exist.

Type
Research Article
Copyright
© EDP Sciences, 2009

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