Does oyster size matter for modelling trace metal bioaccumulation?

Richards, R. G. and Chaloupka, M. (2008) Does oyster size matter for modelling trace metal bioaccumulation?. Science of The Total Environment, 389 2-3: 539-544. doi:10.1016/j.scitotenv.2007.08.060

Author Richards, R. G.
Chaloupka, M.
Title Does oyster size matter for modelling trace metal bioaccumulation?
Journal name Science of The Total Environment   Check publisher's open access policy
ISSN 0048-9697
Publication date 2008-01
Sub-type Article (original research)
DOI 10.1016/j.scitotenv.2007.08.060
Volume 389
Issue 2-3
Start page 539
End page 544
Total pages 6
Place of publication The Netherlands
Publisher Elsevier BV
Language eng
Formatted abstract
The aim of this study was assessing whether trace metal bioaccumulation models for
oysters need to account for the effect of size-structured demography. To achieve this, we
used a Bayesian generalised additive mixed modelling (BGAMM) approach. This
nonparametric regression approach allowed us to estimate potentially nonlinear size
effects of the oysters as well as random and structured spatial effects. Native oysters were
collected from ten locations around the shoreline of Moreton Bay, a subtropical estuary in
southeast Queensland, Australia. The soft-tissue of these sampled oysters were weighed
(dry weight basis) and then analysed for Al, Cu, Fe, Mg, Mn and Zn. Of the six trace metals analysed, only Mg was found to have a significant (negative) effect of soft-tissue mass. The correlated spatial effects for Cu, Mn and Zn indicated that the source of these trace metals in the oysters was from anthropogenic inputs while the correlated spatial effects for Al and Mg indicated natural inputs. The correlated spatial effect for Fe was characterised by ‘hotspot’ concentrations in regions of Moreton Bay where algal blooms have previously occurred and consequently oysters might be useful as an indicator of algal blooms in the Bay. Overall, the absence of an observed size effect for five of the six trace metals indicates that bioaccumulation models do not necessarily need to account for size-structured demography therefore enabling simpler models to be used.

Keyword Metal
New South Wales
Spatial Variation
Bayesian GAMM
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Chemical Engineering Publications
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 3 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 4 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Thu, 03 Sep 2009, 10:37:28 EST by Mr Andrew Martlew on behalf of School of Chemical Engineering