|Appears in Collections:||Biological and Environmental Sciences Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Evaluating summarised radionuclide concentration ratio datasets for wildlife|
|Author(s):||Wood, Michael D|
Beresford, Nicholas A
Howard, Brenda J
|Citation:||Wood MD, Beresford NA, Howard BJ & Copplestone D (2013) Evaluating summarised radionuclide concentration ratio datasets for wildlife. Journal of Environmental Radioactivity, 126, pp. 314-325. https://doi.org/10.1016/j.jenvrad.2013.07.022|
|Abstract:||Concentration ratios (CRwo-media) are used in most radioecological models to predict whole-body radionuclide activity concentrations in wildlife from those in environmental media. This simplistic approach amalgamates the various factors influencing transfer within a single generic value and, as a result, comparisons of model predictions with site-specific measurements can vary by orders of magnitude. To improve model predictions, the development of ‘condition-specific' CRwo-media values has been proposed (e.g. for a specific habitat). However, the underlying datasets for most CRwo-media value databases, such as the wildlife transfer database (WTD) developed within the IAEA EMRAS II programme, include summarised data. This presents challenges for the calculation and subsequent statistical evaluation of condition-specific CRwo-media values. A further complication is the common use of arithmetic summary statistics to summarise data in source references, even though CRwo-media values generally tend towards a lognormal distribution and should, therefore, be summarised using geometric statistics. In this paper, we propose a statistically-defensible and robust method for reconstructing underlying datasets to calculate condition-specific CRwo-media values from summarised data and deriving geometric summary statistics. This method is applied to terrestrial datasets from the WTD. Statistically significant differences in sub-category CRwo-media values (e.g. mammals categorised by feeding strategy) were identified, which may justify the use of these CRwo-media values for specific assessment contexts. However, biases and limitations within the underlying datasets of the WTD explain some of these differences. Given the uncertainty in the summarised CRwo-media values, we suggest that the CRwo-media approach to estimating transfer is used with caution above screening-level assessments.|
|Rights:||This article is open-access. Open access publishing allows free access to and distribution of published articles where the author retains copyright of their work by employing a Creative Commons attribution licence. Proper attribution of authorship and correct citation details should be given.|
|Wood et al_JER_2013.pdf||Fulltext - Published Version||391.38 kB||Adobe PDF||View/Open|
This item is protected by original copyright
A file in this item is licensed under a Creative Commons License
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact firstname.lastname@example.org providing details and we will remove the Work from public display in STORRE and investigate your claim.