The IAEA handbook on radionuclide transfer to wildlife

Howard, BJ; Beresford, NA; Copplestone, D; Telleria, D; Proehl, G; Fesenko, S; Jeffree, RA; Yankovich, TL; Brown, JE; Higley, K; Johansen, MP; Mulye, H; Vandenhove, H; Gashchak, S; Wood, MD; Takata, H; Andersson, P; Dale, P; Ryan, J; Bollhöfer, A; Doering, C; Barnett, CL; Wells, C

The IAEA handbook on radionuclide transfer to wildlife

Howard, BJ Beresford, NA Copplestone, D Telleria, D Proehl, G Fesenko, S Jeffree, RA Yankovich, TL Brown, JE Higley, K Johansen, MP Mulye, H Vandenhove, H Gashchak, S Wood, MD Takata, H Andersson, P Dale, P Ryan, J Bollhöfer, A Doering, C Barnett, CL Wells, C

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Publication Type:: Journal Article
Citation:: Journal of Environmental Radioactivity, 2013, 121 pp. 55 - 74
Issue Date:: 2013-07-01

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Field	Value	Language
dc.contributor.author	Howard, BJ	en_US
dc.contributor.author	Beresford, NA	en_US
dc.contributor.author	Copplestone, D	en_US
dc.contributor.author	Telleria, D	en_US
dc.contributor.author	Proehl, G	en_US
dc.contributor.author	Fesenko, S	en_US
dc.contributor.author	Jeffree, RA	en_US
dc.contributor.author	Yankovich, TL	en_US
dc.contributor.author	Brown, JE	en_US
dc.contributor.author	Higley, K	en_US
dc.contributor.author	Johansen, MP	en_US
dc.contributor.author	Mulye, H	en_US
dc.contributor.author	Vandenhove, H	en_US
dc.contributor.author	Gashchak, S	en_US
dc.contributor.author	Wood, MD	en_US
dc.contributor.author	Takata, H	en_US
dc.contributor.author	Andersson, P	en_US
dc.contributor.author	Dale, P	en_US
dc.contributor.author	Ryan, J	en_US
dc.contributor.author	Bollhöfer, A	en_US
dc.contributor.author	Doering, C	en_US
dc.contributor.author	Barnett, CL	en_US
dc.contributor.author	Wells, C	en_US
dc.date.available	2012-01-30	en_US
dc.date.issued	2013-07-01	en_US
dc.identifier.citation	Journal of Environmental Radioactivity, 2013, 121 pp. 55 - 74	en_US
dc.identifier.issn	0265-931X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/23909
dc.description.abstract	An IAEA handbook presenting transfer parameter values for wildlife has recently been produced. Concentration ratios (CRwo-media) between the whole organism (fresh weight) and either soil (dry weight) or water were collated for a range of wildlife groups (classified taxonomically and by feeding strategy) in terrestrial, freshwater, marine and brackish generic ecosystems. The data have been compiled in an on line database, which will continue to be updated in the future providing the basis for subsequent revision of the Wildlife TRS values. An overview of the compilation and analysis, and discussion of the extent and limitations of the data is presented. Example comparisons of the CRwo-media values are given for polonium across all wildlife groups and ecosystems and for molluscs for all radionuclides. The CRwo-media values have also been compared with those currently used in the ERICA Tool which represented the most complete published database for wildlife transfer values prior to this work. The use of CRwo-media values is a pragmatic approach to predicting radionuclide activity concentrations in wildlife and is similar to that used for screening assessments for the human food chain. The CRwo-media values are most suitable for a screening application where there are several conservative assumptions built into the models which will, to varying extents, compensate for the variable data quality and quantity, and associated uncertainty. © 2012 Elsevier Ltd.	en_US
dc.relation.ispartof	Journal of Environmental Radioactivity	en_US
dc.relation.isbasedon	10.1016/j.jenvrad.2012.01.027	en_US
dc.subject.classification	Environmental Sciences	en_US
dc.subject.mesh	Gastrointestinal Tract	en_US
dc.subject.mesh	Animals	en_US
dc.subject.mesh	Mollusca	en_US
dc.subject.mesh	Plants	en_US
dc.subject.mesh	Plant Roots	en_US
dc.subject.mesh	Polonium	en_US
dc.subject.mesh	Radioisotopes	en_US
dc.subject.mesh	Radioactive Pollutants	en_US
dc.subject.mesh	Soil	en_US
dc.subject.mesh	Radiation Monitoring	en_US
dc.subject.mesh	Ecosystem	en_US
dc.subject.mesh	Food Chain	en_US
dc.subject.mesh	Fresh Water	en_US
dc.subject.mesh	Environmental Exposure	en_US
dc.subject.mesh	Models, Theoretical	en_US
dc.subject.mesh	Databases, Factual	en_US
dc.subject.mesh	International Agencies	en_US
dc.title	The IAEA handbook on radionuclide transfer to wildlife	en_US
dc.type	Journal Article
utslib.citation.volume	121	en_US
utslib.for	0502 Environmental Science and Management	en_US
utslib.for	03 Chemical Sciences	en_US
utslib.for	05 Environmental Sciences	en_US
utslib.for	06 Biological Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	121	en_US

Abstract:

An IAEA handbook presenting transfer parameter values for wildlife has recently been produced. Concentration ratios (CRwo-media) between the whole organism (fresh weight) and either soil (dry weight) or water were collated for a range of wildlife groups (classified taxonomically and by feeding strategy) in terrestrial, freshwater, marine and brackish generic ecosystems. The data have been compiled in an on line database, which will continue to be updated in the future providing the basis for subsequent revision of the Wildlife TRS values. An overview of the compilation and analysis, and discussion of the extent and limitations of the data is presented. Example comparisons of the CRwo-media values are given for polonium across all wildlife groups and ecosystems and for molluscs for all radionuclides. The CRwo-media values have also been compared with those currently used in the ERICA Tool which represented the most complete published database for wildlife transfer values prior to this work. The use of CRwo-media values is a pragmatic approach to predicting radionuclide activity concentrations in wildlife and is similar to that used for screening assessments for the human food chain. The CRwo-media values are most suitable for a screening application where there are several conservative assumptions built into the models which will, to varying extents, compensate for the variable data quality and quantity, and associated uncertainty. © 2012 Elsevier Ltd.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/23909